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To: [email protected]
Date: Tue, 20 Oct 2026 12:36:26 GMT
Subject: ⚙️ AI's philanthropy push is also about power
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</style></head><body class="a" style="margin:0px auto;padding:0px;word-wrap:normal;word-spacing:normal;background-color:#FFFFFF;"><div role="article" aria-roledescription="email" aria-label="email_name" lang="en" style="font-size:1rem"><div style="display:none;max-height:0px;overflow:hidden;"> Plus: The reality behind Anthropic, SpaceX's philanthropic giving  ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ </div><table role="none" width="100%" border="0" cellspacing="0" align="center" cellpadding="0" class="gg"><tr><td align="center" valign="top"><table role="none" width="670" border="0" cellspacing="0" cellpadding="0" class="aa" style="width:670px;table-layout:fixed;"><tr><td class="bodyWrapper" align="center" valign="top" style="padding:10px 10px 10px 10px;"><table role="none" width="100%" border="0" cellspacing="0" cellpadding="0" align="center"><tr><td align="center" valign="top" style="border-width:1px 1px 0px 1px;border-style: solid; border-color: #FFFFFF;border-radius:10px 10px 0px 0px;background-color:#FFFFFF;" class="c"><table role="none" width="100%" border="0" cellspacing="0" cellpadding="0" align="center"><tr id="header"><td style="padding:15px 15px 0px 15px;"><div style="padding-top:0px;padding-right:0px;padding-bottom:20px;padding-left:0px;"><table role="none" width="100%" border="0" cellspacing="0" cellpadding="0" align="center"><tr><td class="f" align="right" valign="top"><p> October 20, 2026 | <a data-read-online-tooltip="true" href="https://elink983.thedeepview.co/ss/c/u001.gKxW2KpP8aPe_QMyOQduokBEDIe6892b9r6MySOyoYXXMFLcLXA_8zyl8yuzNeaTDkKTVLQHxEC87HjHPMG5Vrw-G5CogiE-jiXJi_c3BOponTZZDXy18ONbTJbjSKGX6wGcEkKK-PRGgJ9jPAhNA_3QujmBapyytCE9t4FixbUfT8VMKbJR4vHsa69B1Xe1gyaMaOp6lcQ-Y0Qb_tAyEAGboYGYqk9FwhlVN_7PYosbDsfNkjsKhNuNNNjBYngcblQIXj-q-3ymUilrKemzPhnsS_OXYLuzkb-mYpJ2LYyivzJYLXfV91ZkjjpLACen3FkIoxzSx0dRz275R4Bh2wwe0YPqkDgNVn0oQ5-5PLolqnpelKIdgytTXej2jk9dfpM9DaOE3jWucUB2L4iPHw_382Lseni1bjG12SpMiQl4Qdh9N5SVa8rDjgUzlVXM4I0G5azMSow0Q_3rJF37TDrXabG9DWG0JzIk0gmmUlrcKUZiWi4CpWsNkn2rLNfc2H606kYqQ-Z05JMIl5-jGo3Dav6y_RgJWIypmsKNuGGqjX_oKIaKn5zwLfs_v-6-J0VPwgqQj34vsT3MwoqIwNPusEEOW_C5X--wLWNVxrcMEJveZ_0dLaF4-yfy30S2ArEJT1IO_SRg3l3ypMzi6iR-IZRqZwkguxudAAZJRj1JJ-VNa40QhvzN7GKxO0CjKW4OLdbZ-DQseszI81JItvDrQ_40BEwTWe0aKlWtQ0j4u009_gSLYkIeSChFYVrfg9wfa9lrvdh4mCJIeFqkBNemyih5QlRlZIkr1z1JSDY/4v1/kJiGRwyWSRmAZXhdCV_-rw/h0/h001.EIUaq3bbBTPRS9g7zmhICWTB-puYnCohlCBBVAaTIkU">Read online</a></p></td></tr><tr><td style="line-height:0;"><div data-open-tracking="true"> <img src="https://elink983.thedeepview.co/ss/o/u001.8UYYf-fpC5t510J3InhYHg/4v1/kJiGRwyWSRmAZXhdCV_-rw/ho.gif" alt="" width="1" height="1" border="0" style="height:1px !important;width:1px !important;border-width:0 !important;margin-top:0 !important;margin-bottom:0 !important;margin-right:0 !important;margin-left:0 !important;padding-top:0 !important;padding-bottom:0 !important;padding-right:0 !important;padding-left:0 !important;"/> </div></td></tr></table></div></td></tr><tr id="content-blocks"><td class="email-card-body" align="center" valign="top" style="padding-bottom:15px;"><table role="none" width="100%" border="0" cellspacing="0" cellpadding="0" align="center"><tr><td align="center" valign="top" style="padding-bottom:8px;padding-left:15px;padding-right:15px;padding-top:8px; " class="dd"><table role="none" border="0" cellspacing="0" cellpadding="0" class="bb" style="margin:0 auto 0 auto;"><tr><td align="center" valign="top" class="bb" style="width:604px;"><img src="https://media.beehiiv.com/cdn-cgi/image/fit=scale-down,format=auto,onerror=redirect,quality=80,width=1920,height=3840/uploads/asset/file/88366931-1135-420c-b6f0-fce38d4cd786/BANNER__60_.jpg?t=1792492014" alt="" height="auto" width="604" style="display:block;width:100%;" border="0"/></td></tr></table></td></tr><tr><td align="center" valign="top" style="padding-bottom:8px;padding-left:15px;padding-right:15px;padding-top:8px; " class="dd"><table role="none" border="0" cellspacing="0" cellpadding="0" class="bb" style="margin:0 auto 0 auto;"><tr><td align="center" valign="top" class="bb" style="width:325px;"><a href="https://elink983.thedeepview.co/ss/c/u001.qNCZjjYQy9oQCZ7BSSPG-Ffmm8_0Yc53iDwMDh7mgnQtE5sgtHoOWHTtYCECitcaajr3dQ5Mki9iP5uoT_shAcyNz5jHSBlMNCceUSJ03p31GDvisTD_U78tOcaWQaMCysgsitI_cAS3pRM2aE8f_sU3lSPfnsaMT8ZAfA5eklq0IBQeyzVfo0-NUmV7wAF0Yz6tH2vzoZjNIXMM2YkvIUHD4g8ew0mJ6zWbB3FD_DuBjfBrfT1eLZc1e5-BMAPrdnhOQsAyJ-2VlIBbuQR-9A/4v1/kJiGRwyWSRmAZXhdCV_-rw/h1/h001.OVRXhScbc8uTvSehCjnXvvpn4FJ0xAtWAh68tKHlNhc" rel="noopener noreferrer nofollow" style="text-decoration:none;" target="_blank"><img src="https://media.beehiiv.com/cdn-cgi/image/fit=scale-down,format=auto,onerror=redirect,quality=80,width=1920,height=3840/uploads/asset/file/8726dad8-1043-4d30-b809-bff0b11284aa/Together_W_Hyphenate_pill.png?t=1792182805" alt="" height="auto" width="325" style="display:block;width:100%;" border="0"/></a></td></tr></table></td></tr><tr><td class="dd" align="left" style="padding:0px 15px;text-align:left;word-break:break-word;"><p style="mso-line-height-alt:150.0%;"><span style="font-weight:700;"><b>Welcome back.</b></span> China's MiniMax is pushing open models closer to frontier performance at a fraction of the cost, raising the stakes for US labs. Meanwhile, Anthropic is making a massive commitment to philanthropy, but there's a strategic reason AI companies need public goodwill as they race to build infrastructure and expand their influence. And Inception's Mercury 3 is the most intriguing development of all. Its diffusion architecture challenges the industry's prevailing approach to scaling AI, delivering dramatically faster responses while using expensive GPUs a lot more efficiently. <i>—</i><a class="link" href="https://elink983.thedeepview.co/ss/c/u001.wZPohD0JH12EksCsbt8ZeFCsxgaiiSFhhEZXgbyLVQFhr1A_BEAEp8cdvWudcCyss9zA-ck9db_DlffwGgC6GkvgY4ddaq81wTLdw5-Rvc-LKogiay9cxE_pXnVW6unCRFHIoAQXJl7SUNdLQ3r6ToJa47BxI-Ol96jprzyBpR9UssEjvc9bHRin2wNwkEIZeh7Y-NcTFniXBQczA7E8ladKa1PQYnivYpz5Yjy6wsu0SwX2jg5e5R5fzRR09Y_8CtuHl0TMBRq11kLDlVWQaw/4v1/kJiGRwyWSRmAZXhdCV_-rw/h2/h001.6J4FxYa0WKniwAbdwce6F8ZMr6lSL7TEu4-S8IieX-Q" target="_blank" rel="noopener noreferrer nofollow"><span><i>Jason Hiner</i></span></a></p></td></tr><tr><td id="in-todays-newsletter" class="dd" align="left" style="padding:0px 15px;text-align:left;word-break:break-word;"><p style="mso-line-height-alt:150.0%;"><b>IN TODAY’S NEWSLETTER</b></p></td></tr><tr><td id="1-why-inceptions-mercury-3-upends-a" class="dd" align="left" valign="top" style="color:#2A2A2A;font-weight:400;padding:0px 15px;text-align:left;"><h2 style="color:#2A2A2A;font-weight:400;mso-line-height-alt:125.0%;"><span style="color:#376DFC;">1.</span> Why Inception's Mercury 3 upends AI economics</h2></td></tr><tr><td id="2-a-is-philanthropy-push-is-also-ab" class="dd" align="left" valign="top" style="color:#2A2A2A;font-weight:400;padding:0px 15px;text-align:left;"><h2 style="color:#2A2A2A;font-weight:400;mso-line-height-alt:125.0%;"><span style="color:#376DFC;">2.</span> AI's philanthropy push is also about power</h2></td></tr><tr><td id="3-chinas-open-models-threaten-us-a-" class="dd" align="left" valign="top" style="color:#2A2A2A;font-weight:400;padding:0px 15px;text-align:left;"><h2 style="color:#2A2A2A;font-weight:400;mso-line-height-alt:125.0%;"><span style="color:#376DFC;">3.</span> China's open models threaten US AI's pricing power</h2></td></tr><tr><td><table role="none" width="100%" border="0" cellspacing="0" cellpadding="0" style=""><tr><td height="5.0px" style="line-height:1px;font-size:1px;height:5.0px;"> </td></tr><tr><td bgcolor="transparent" style="background-color:transparent;border-color:#CDCDCD;border-radius:10px;border-style:solid;border-width:1px;padding:0.0px 0px 0.0px 0px;box-sizing:border-box;"><table role="none" width="100%" border="0" cellspacing="0" cellpadding="0" style="table-layout:fixed;"><tr><td class="dd" align="left" style="padding:0px 15px;text-align:left;word-break:break-word;"><p style="mso-line-height-alt:150.0%;"><span style="color:#376DFC;">PRODUCTS</span></p></td></tr><tr><td class="dd" align="left" valign="top" style="color:#2A2A2A;font-weight:400;padding:0px 15px;text-align:left;"><h1 style="color:#2A2A2A;font-weight:400;mso-line-height-alt:125.0%;">Mercury 3 makes the case for a new kind of AI</h1></td></tr><tr><td align="center" valign="top" style="padding-bottom:8px;padding-left:15px;padding-right:15px;padding-top:8px; " class="dd"><table role="none" border="0" cellspacing="0" cellpadding="0" class="bb" style="margin:0 auto 0 auto;"><tr><td align="center" valign="top" class="bb" style="width:604px;"><a href="https://elink983.thedeepview.co/ss/c/u001.wZPohD0JH12EksCsbt8ZeFCsxgaiiSFhhEZXgbyLVQFa4B8DkD_B62At4w-tcrxxmLhO67FxWwOn6Q2_uZc2dqnbyfDx2XmvH7n0LqzxEncWbEjEuYu4QEHfAA8isNtBTpQzCR-7-txwq9J7awzTZWLMfsM6CB88wcgaTlLiunISCdkr4lE1b43g8CHKKQLOytFGK4W-IijPvvwzJH_Iz_v6aczgxkYPN4305x6a7OzS_qAWLuTF_7MrWzTqjjvX2qtdSUwhZXQGLliaBCvYj7LqqN0A0vrM2po8iC9bnE-I3Rq3D5pcC2q0aHqTzfV_rlWfwGaw0uPsMMhUGnMPPA/4v1/kJiGRwyWSRmAZXhdCV_-rw/h3/h001.X6_TPaZJtiP1urRvVVrkwWHqJC8M9zGcntT7oLcwyJo" rel="noopener noreferrer nofollow" style="text-decoration:none;" target="_blank"><img src="https://media.beehiiv.com/cdn-cgi/image/fit=scale-down,format=auto,onerror=redirect,quality=80,width=1920,height=3840/uploads/asset/file/c8350deb-45e7-4743-bc44-be477cbac9e0/9c8a23f557e384f9fc7caef86f1458d7f4072395-1456x816_copy.png?t=1792447280" alt="" height="auto" width="604" style="display:block;width:100%;" border="0"/></a></td></tr></table></td></tr><tr><td class="dd" align="left" style="padding:0px 15px;text-align:left;word-break:break-word;"><p style="mso-line-height-alt:150.0%;"> While the AI industry has bet heavily on LLMs and the massive data centers needed to scale them, one of the neolabs betting on a contrarian AI just released another new model that challenges the incumbent thesis. </p></td></tr><tr><td class="dd" align="left" style="padding:0px 15px;text-align:left;word-break:break-word;"><p style="mso-line-height-alt:150.0%;"> On Monday, Inception announced Mercury 3, its latest flagship model that's a diffusion LLM that uses different technology than traditional LLMs, generates text much faster at a lower cost, and is now matching low- and mid-tier models from Anthropic and OpenAI on performance and quality. Inception also reported that it implemented swarms of Mercury 3 agents for recursive self improvement where they increased the overall speed of the model by 16% on top of the upgrades made by the Inception team itself. </p></td></tr><tr><td class="dd" align="left" style="padding:0px 15px;text-align:left;word-break:break-word;"><p style="mso-line-height-alt:150.0%;"> "Mercury 3 is the most capable diffusion-based language model on the market," Inception CEO Stefano Ermon told The Deep View. "It's very intelligent. It's comparable to the Luna and Haiku models, but it's way faster. It's getting 1,000 tokens per second. It's almost instant in the way you get answers from these models." </p></td></tr><tr><td class="dd" align="left" style="padding:0px 15px;text-align:left;word-break:break-word;"><p style="mso-line-height-alt:150.0%;"> Mercury 3 costs $0.10 per million input tokens and $0.35 per million output tokens. Compared to the leading models from Anthropic's Haiku 5.5 and OpenAI's GPT-6 Luna, that's the same price for input tokens and a 35% discount on output tokens. However, that's based on the launch price for Mercury 3, which is 50% off the eventual standard price. Inception hasn't said how long the launch promotion period will last. But Ermon told The Deep View that the company is working on developments that could allow it to make the launch price permanent in the weeks ahead. </p></td></tr><tr><td class="dd" align="left" style="padding:0px 15px;text-align:left;word-break:break-word;"><p style="mso-line-height-alt:150.0%;"> However, thinking of Mercury 3 as a low-cost model isn't the right framing. Anthropic and OpenAI offer cut-rate prices on their budget models so that they can offer a low-cost option while charging steep premiums for their best models. Mercury 3 is Inception's flagship model and its number one benefit is speed more than cost. Inception claims that Mercury 3 performs 4x to 8x faster than Haiku 5.5, GPT-6 Luna, and GLM-5.3 Flash while performing better than all of them on agentic benchmarks. </p></td></tr><tr><td class="dd" align="left" style="padding:0px 15px;text-align:left;word-break:break-word;"><p style="mso-line-height-alt:150.0%;"> The way Mercury 3 pulls this off is by parallelizing inference. Conventional LLMs generate text one token at a time in sequence. That's an autoregressive process, meaning that each token is based on the ones before it. Meanwhile, Mercury 3 can generate and refine multiple tokens at the same time. This takes advantage of the enormous parallel processing capabilities of GPUs in a much faster and more efficient way. That's what allows Inception's models to produce responses faster and at a lower cost. Diffusion models are used by many of the leading labs for image and video generation. It's the application of the technology to text that's the breakthrough here. </p></td></tr><tr><td class="dd" align="left" style="padding:0px 15px;text-align:left;word-break:break-word;"><p style="mso-line-height-alt:150.0%;"> Mercury 3 is now using 40x as many parameters as Mercury 1 (released in February 2025), but the Inception team isn't saying how many total parameters are in the model. That likely means it's a smaller number and Inception doesn't want people to compare apples to oranges and underestimate the model. Still, Mercury 3 shows that diffusion LLMs are advancing rapidly and could match traditional frontier LLMs in the next year. That's likely why Google DeepMind is quietly working on the same technology as well, releasing <a class="link" href="https://elink983.thedeepview.co/ss/c/u001.Un_gMyUnz9Ke_mQuauvCavVuDeHrYgXca0OEhOIlELwhieU2neEODySANfUtU5C9MIkZzgig4oy8cTVHLx6Y2G1JSM8rjCEEqD7ccM4h8WmWV7uam2qIl_AJO_LBPGPD27RWxcYuvN7sQpqc1L_W-mwgdJWWbVkLY-MkPsuMfb8Ose7nug83S2pKmEOa6zg-XIJbU80DcOsZpPvUA-3c12fckWCYGK_wQeVfkCbAnUEouIl9uYHqI1ZCwTCzAMPZxLc2VBUjoG9UojWDqoEuV_zF1ZGq0mEEC71N1C0M7KPoCfiq6AM1DDgNSbLixnC_F0acRKDoYNSwgDGCj700JLnpaMdjLVyiTBlSWOKTk-s/4v1/kJiGRwyWSRmAZXhdCV_-rw/h4/h001.68qh8XmybYlH8Ub3zv3PkmJBweohTjG34Yw3sQsUTpk" target="_blank" rel="noopener noreferrer nofollow"><span>DiffusionGemma</span></a> in June. By the way, it uses 26 billion parameters (miniscule compared to the 1 trillion parameter frontier models) but also delivers similar breakthroughs in speed to Inception's Mercury models. </p></td></tr><tr><td align="center" valign="top" style="padding-bottom:8px;padding-left:15px;padding-right:15px;padding-top:8px; " class="dd"><table role="none" border="0" cellspacing="0" cellpadding="0" class="bb" style="margin:0 auto 0 auto;"><tr><td align="center" valign="top" class="bb" style="width:604px;"><img src="https://media.beehiiv.com/cdn-cgi/image/fit=scale-down,format=auto,onerror=redirect,quality=80,width=1920,height=3840/uploads/asset/file/9e7d31c7-673b-475f-9c87-cf6c1be7b363/Frame_1410104594.png?t=1765345175" alt="" height="auto" width="604" style="display:block;width:100%;" border="0"/></td></tr></table></td></tr><tr><td class="dd" align="left" style="padding:0px 15px;text-align:left;word-break:break-word;"><p style="mso-line-height-alt:150.0%;"> Mercury 3 calls into question the current approach of most of the leading AI labs, which have bet their architecture on building bigger LLMs and then count on faster hardware (and more of it) from Nvidia and other chipmakers to deliver improvements over time. If Inception is right about diffusion LLMs, then it would have big implications. The dilemma facing the AI industry is that improving model intelligence requires additional compute, and lots of it. Upgrading reasoning and increasing the number of agentic steps can typically increase costs and response time. So Inception's breakthrough on diffusion LLMs is all about faster AI response times and more efficient use of expensive GPU hardware, for now. The question remains whether it will be a niche use-case for more real-time AI applications or a bigger long-term challenger to the cutting edge frontier models. </p></td></tr><tr><td align="center" valign="top" style="padding-bottom:8px;padding-left:15px;padding-right:15px;padding-top:8px; " class="dd"><table role="none" border="0" cellspacing="0" cellpadding="0" class="bb" style="margin:0 auto 0 auto;"><tr><td align="center" valign="top" class="bb" style="width:232px;"><a href="https://elink983.thedeepview.co/ss/c/u001.wZPohD0JH12EksCsbt8ZeFCsxgaiiSFhhEZXgbyLVQFhr1A_BEAEp8cdvWudcCyss9zA-ck9db_DlffwGgC6GkvgY4ddaq81wTLdw5-Rvc-LKogiay9cxE_pXnVW6unCRFHIoAQXJl7SUNdLQ3r6ToJa47BxI-Ol96jprzyBpR9UssEjvc9bHRin2wNwkEIZeh7Y-NcTFniXBQczA7E8lXB8hxCZu-iCfsN4PT2z7IpvMtbteWez1WNzQi9meEJlsnbKqxgxlcFT7AIzLC358w/4v1/kJiGRwyWSRmAZXhdCV_-rw/h5/h001.MaAAKBUw9LE40IShhOXJEviCNOSYo3-V63PUK8vNwrk" rel="noopener noreferrer nofollow" style="text-decoration:none;" target="_blank"><img src="https://media.beehiiv.com/cdn-cgi/image/fit=scale-down,format=auto,onerror=redirect,quality=80,width=1920,height=3840/uploads/asset/file/1d1901ab-36d2-4a8f-b31d-a1ccecbe490a/Jason.png?t=1766448566" alt="Jason Hiner, Editor-in-Chief" height="auto" width="232" style="display:block;width:100%;" border="0"/></a></td></tr></table></td></tr></table></td></tr><tr><td height="5.0px" style="line-height:1px;font-size:1px;height:5.0px;"> </td></tr></table></td></tr><tr><td><table role="none" width="100%" border="0" cellspacing="0" cellpadding="0" style=""><tr><td height="5.0px" style="line-height:1px;font-size:1px;height:5.0px;"> </td></tr><tr><td bgcolor="transparent" style="background-color:transparent;border-color:#CDCDCD;border-radius:10px;border-style:solid;border-width:1px;padding:0.0px 0px 0.0px 0px;box-sizing:border-box;"><table role="none" width="100%" border="0" cellspacing="0" cellpadding="0" style="table-layout:fixed;"><tr><td class="dd" align="left" style="padding:0px 15px;text-align:left;word-break:break-word;"><p style="mso-line-height-alt:150.0%;"><span style="color:#376DFC;">TOGETHER WITH HYPHENATE</span></p></td></tr><tr><td class="dd" align="left" valign="top" style="color:#2A2A2A;font-weight:400;padding:0px 15px;text-align:left;"><h1 style="color:#2A2A2A;font-weight:400;mso-line-height-alt:125.0%;">Your pricing evolved. Your revenue recognition needs to keep up.</h1></td></tr><tr><td align="center" valign="top" style="padding-bottom:8px;padding-left:15px;padding-right:15px;padding-top:8px; " class="dd"><table role="none" border="0" cellspacing="0" cellpadding="0" class="bb" style="margin:0 auto 0 auto;"><tr><td align="center" valign="top" class="bb" style="width:604px;"><a href="https://elink983.thedeepview.co/ss/c/u001.qNCZjjYQy9oQCZ7BSSPG-Ffmm8_0Yc53iDwMDh7mgnQtE5sgtHoOWHTtYCECitcaajr3dQ5Mki9iP5uoT_shAcyNz5jHSBlMNCceUSJ03p31GDvisTD_U78tOcaWQaMCysgsitI_cAS3pRM2aE8f_sU3lSPfnsaMT8ZAfA5eklq0IBQeyzVfo0-NUmV7wAF05WiuePdbdK-5foASMbGwag2IUXgWsidIqAfBk5vGpem913YdXYV6ZJb2GYekN5_Kccy3oL_3W4D3v8iLB4b5zQ/4v1/kJiGRwyWSRmAZXhdCV_-rw/h6/h001.01P2BM3zt1DmVkwZdxmZtDx-cloJvj7JRb1fq18ywj8" rel="noopener noreferrer nofollow" style="text-decoration:none;" target="_blank"><img src="https://media.beehiiv.com/cdn-cgi/image/fit=scale-down,format=auto,onerror=redirect,quality=80,width=1920,height=3840/uploads/asset/file/a7355145-e193-4640-a720-9a9384d0ead9/10_20_Placement.png?t=1792183133" alt="" height="auto" width="604" style="display:block;width:100%;" border="0"/></a></td></tr></table></td></tr><tr><td class="dd" align="left" style="padding:0px 15px;text-align:left;word-break:break-word;"><p style="mso-line-height-alt:150.0%;"> Per-API charges. Prepaid credits. Fees tied to successful outcomes. </p></td></tr><tr><td class="dd" align="left" style="padding:0px 15px;text-align:left;word-break:break-word;"><p style="mso-line-height-alt:150.0%;"> Usage-based pricing creates revenue recognition questions that can slow your close, and leave your team searching for answers. </p></td></tr><tr><td class="dd" align="left" style="padding:0px 15px;text-align:left;word-break:break-word;"><p style="mso-line-height-alt:150.0%;"> Hyphenate’s <a class="link" href="https://elink983.thedeepview.co/ss/c/u001.qNCZjjYQy9oQCZ7BSSPG-Ffmm8_0Yc53iDwMDh7mgnQtE5sgtHoOWHTtYCECitcaajr3dQ5Mki9iP5uoT_shAcyNz5jHSBlMNCceUSJ03p31GDvisTD_U78tOcaWQaMCysgsitI_cAS3pRM2aE8f_sU3lSPfnsaMT8ZAfA5eklq0IBQeyzVfo0-NUmV7wAF0ckTG_vR_w_hEyEkE4GLXraTRK3oVk8aFBg11pZQaoShrBMoT7fgqTc1OFLEv-6hp6GfS9IUqd-9MlOos9zL6-w/4v1/kJiGRwyWSRmAZXhdCV_-rw/h7/h001.TreMAiAOnRWiNGOLXY1r-ogPBHb55bv_LcFv96kIq0U" target="_blank" rel="noopener noreferrer nofollow"><span>Usage-Based Revenue Recognition Playbook</span></a> tackles six judgment calls, from gross-versus-net reporting to unbilled usage and credit breakage. Each comes with a realistic scenario, a decision tree, journal entries, and an operational fix. Written by a CPA and reviewed by Big Four partners, the guide cites specific codification subparagraphs and cross-checks positions against two Big Four handbooks.<br><br><a class="link" href="https://elink983.thedeepview.co/ss/c/u001.qNCZjjYQy9oQCZ7BSSPG-Ffmm8_0Yc53iDwMDh7mgnQtE5sgtHoOWHTtYCECitcaajr3dQ5Mki9iP5uoT_shAcyNz5jHSBlMNCceUSJ03p31GDvisTD_U78tOcaWQaMCysgsitI_cAS3pRM2aE8f_sU3lSPfnsaMT8ZAfA5eklq0IBQeyzVfo0-NUmV7wAF09UionWptg-0Mm3dgp3UmMMFZ6HqSqtWEX26q-tWK5eVyrgUkyOCp_RYjKQYr72dnGtpl4AUlda6bgCXpNyzzWA/4v1/kJiGRwyWSRmAZXhdCV_-rw/h8/h001.1fCrH2mZ6qsm7dgowCrQFqZwL0JdiCA2yUvvzaqpbXY" target="_blank" rel="noopener noreferrer nofollow"><span>Get the playbook.</span></a></p></td></tr></table></td></tr><tr><td height="5.0px" style="line-height:1px;font-size:1px;height:5.0px;"> </td></tr></table></td></tr><tr><td><table role="none" width="100%" border="0" cellspacing="0" cellpadding="0" style=""><tr><td height="10.0px" style="line-height:1px;font-size:1px;height:10.0px;"> </td></tr><tr><td bgcolor="transparent" style="background-color:transparent;border-color:#CDCDCD;border-radius:10px;border-style:solid;border-width:1px;padding:0.0px 0px 5.0px 0px;box-sizing:border-box;"><table role="none" width="100%" border="0" cellspacing="0" cellpadding="0" style="table-layout:fixed;"><tr><td class="dd" align="left" style="padding:0px 15px;text-align:left;word-break:break-word;"><p style="mso-line-height-alt:150.0%;"><span style="color:#376dfc;">AI TRAINING</span></p></td></tr><tr><td class="dd" align="left" valign="top" style="color:#2A2A2A;font-weight:400;padding:0px 15px;text-align:left;"><h1 style="color:#2A2A2A;font-weight:400;mso-line-height-alt:125.0%;">Delegate a task to an agent, get back a pull request</h1></td></tr><tr><td align="left" valign="top" style="padding-bottom:8px;padding-left:15px;padding-right:15px;padding-top:8px; " class="dd"><table role="none" border="0" cellspacing="0" cellpadding="0" class="bb" style="margin:0 auto 0 0;"><tr><td align="center" valign="top" class="bb" style="width:604px;"><a href="https://elink983.thedeepview.co/ss/c/u001.vI6Z7nr7pM-hqfUrdIi31CtkdoBL_PYaHeIZmepeOmO_tHDAJ4JFrDOzNnFD_qcyI5GJ9HHYk64sRW-pWGyMKCNnoConUs9MJHlY-4UiuWrDzn80dIHnTy-2Uzglpdubhv6DISMf47YLZdVacBxjGi2xIQiHeSDsKf6Bt2XUhjk_O2Rq3yccWYQavxgTFpPPhpfd0dR0tWDyWtitTN-NDjQJXYkfbzhuE-upbOILsPR5oCRzCnxzc9nOurelBj5mNl5ht1eH19MSC-moMZjHFw/4v1/kJiGRwyWSRmAZXhdCV_-rw/h9/h001.JNMIyzU0GD5WF9BCRatKMI7AtkSQCV3DrQ5F7v2PDYs" rel="noopener noreferrer nofollow" style="text-decoration:none;" target="_blank"><img src="https://media.beehiiv.com/cdn-cgi/image/fit=scale-down,format=auto,onerror=redirect,quality=80,width=1920,height=3840/uploads/asset/file/bed83038-c99c-4f9d-a1b0-23a8906ddb3d/coder_info_bar.png?t=1792059444" alt="" height="auto" width="604" style="display:block;width:100%;border-radius:0px 0px 0px 0px;border-style:solid;border-width:0px 0px 0px 0px;box-sizing:border-box;border-color:#E5E7EB;" border="0"/></a></td></tr></table></td></tr><tr><td align="center" valign="top" style="padding-bottom:8px;padding-left:15px;padding-right:15px;padding-top:8px; " class="dd"><table role="none" border="0" cellspacing="0" cellpadding="0" class="bb" style="margin:0 auto 0 auto;"><tr><td align="center" valign="top" class="bb" style="width:604px;"><a href="https://elink983.thedeepview.co/ss/c/u001.8tm-lavloxZbk7LH_fkTGOE27tCsn6Myfa_n52xBWDQ-zBMMSCQNG7pmKD1E90Rl4wIQui7ODX-pfzmhQNAqMdN9u9kQ8N3J1yQCZTVgqXC5uA8NCqAXKx6TOTiyQah8OTrFkXdDufDVhZJ8KY0y20oOuU6V_kOxydVNnUYVzs73SftbFaQT0LGOcOMYwUNHLxYwtfg8QKOLyCahsxMJCnA2F55Na82k1XDUOYyK4Jy2sGgCbVvd6shRbRQxyHsZEUlrW7hXeN_K8dV1TT4Jog/4v1/kJiGRwyWSRmAZXhdCV_-rw/h10/h001.IhuH0IAR1NxeESXuNCUKomumEIxU30xF_V_2w6iL_xo" rel="noopener noreferrer nofollow" style="text-decoration:none;" target="_blank"><img src="https://media.beehiiv.com/cdn-cgi/image/fit=scale-down,format=auto,onerror=redirect,quality=80,width=1920,height=3840/uploads/asset/file/e30674ee-88f1-4a5e-98c9-6b65cd99d73d/The_Deep_View_Coder_Agents__1_.png?t=1792188730" alt="" height="auto" width="604" style="display:block;width:100%;border-radius:0px 0px 0px 0px;border-style:solid;border-width:0px 0px 0px 0px;box-sizing:border-box;border-color:#E5E7EB;" border="0"/></a></td></tr></table></td></tr><tr><td class="dd" align="left" style="padding:0px 15px;text-align:left;word-break:break-word;"><p style="mso-line-height-alt:150.0%;"> Most AI coding agents run on a laptop with the developer’s credentials and no record of what they touched. <a class="link" href="https://elink983.thedeepview.co/ss/c/u001.8tm-lavloxZbk7LH_fkTGOE27tCsn6Myfa_n52xBWDQ-zBMMSCQNG7pmKD1E90Rl4wIQui7ODX-pfzmhQNAqMdN9u9kQ8N3J1yQCZTVgqXC5uA8NCqAXKx6TOTiyQah8OTrFkXdDufDVhZJ8KY0y20oOuU6V_kOxydVNnUYVzs73SftbFaQT0LGOcOMYwUNHLxYwtfg8QKOLyCahsxMJCj2q1rC-uS_oRJM-fAff-W_b3U45cHlj0DTN7k6k9JjqoqNyZjkTcUsp5mPvGvoO3g/4v1/kJiGRwyWSRmAZXhdCV_-rw/h11/h001.sJwUbL3O0YXH0DdBK_55r-qbRXsNqdgYAr_ONUZ8Kv0" target="_blank" rel="noopener noreferrer nofollow"><span>Coder Agents</span></a> moves the loop into the Coder control plane. You describe a task, the agent provisions a workspace from a template you already use, does the work, and opens a pull request. No keys or agent software in the workspace, and every action tied to your identity. </p></td></tr><tr><td class="dd" align="left" valign="top" style="color:#2A2A2A;font-weight:400;padding:0px 15px;text-align:left;"><h2 style="color:#2A2A2A;font-weight:400;mso-line-height-alt:125.0%;">How to do it:</h2></td></tr><tr><td style="padding-bottom:12px;padding-left:37px;padding-right:27px;padding-top:12px;" class="ee"><div style="margin-left:0px;" class="edm_outlooklist"><ol start="1" style="font-weight:400;list-style-type:decimal;margin:0px 0px;padding:0px 0px 0px 0px;"><li class="listItem ultext"><p style="mso-line-height-alt:150.0%;padding:0px;text-align:left;word-break:break-word;"><b>Open a chat.</b> Sign in to your Coder deployment and open Agents. No deployment? Try this on a live environment at <a class="link" href="https://elink983.thedeepview.co/ss/c/u001.8tm-lavloxZbk7LH_fkTGD3WEIrML9BAWD-KriUKNdpS9y99O1Ggvs18Oz-Ptx1PHLOy2KN2PYZbzB-3WnNFPWuUQYBDwhh0klD_f80uF5OeMsic5AUOKbBfc0ZCraQWfkkkHN6VFbMGN1lbBBO0A_c8UQZCL5NDlG65QRRNpWhXh8Jsi_KvycULEpquzX46eSFWwCBezn0oIJuBjOeE-51HQPtfdyOleW1IwI7nY352zsNMOpQ7U5V1gPIn8xINoYjeSbIZQERLwXRdf9MlyA/4v1/kJiGRwyWSRmAZXhdCV_-rw/h12/h001.xaWfBwWYIC-YwosH8fUI1H1avao0Is4NPakK7baKBbU" target="_blank" rel="noopener noreferrer nofollow"><span>coder.com/learn</span></a>, or self-host with the <a class="link" href="https://elink983.thedeepview.co/ss/c/u001.8tm-lavloxZbk7LH_fkTGBkNButVlVi3AhPvU_IMDisbjoQjXCVO8gIhFdG_7QoetFFZkXnom0FRqL-nNrFihYT3jRVTNvEpFaHY1pL7luEszlY8EFSM6DOdKMI7QA9_3vuDBnvMXBOCMK_yN8rqxmopUedn0p09TMBHBlYfVTeHxXLki5_VPDNPmx0W2AOEmQR7RbquCOI5ChsVvRBA8zlhIkvaJFmkgIaKi9f2CifY-TEU93L5eKUtqQwotERIyK4sSr60zlwmEbJAzQDalQ/4v1/kJiGRwyWSRmAZXhdCV_-rw/h13/h001.S6-QRBhd7MbZgue4kkBO9Kv97rvmDbE1NyquYKaUOzw" target="_blank" rel="noopener noreferrer nofollow"><span>install docs</span></a>. </p></li><li class="listItem ultext"><p style="mso-line-height-alt:150.0%;padding:0px;text-align:left;word-break:break-word;"><b>Describe the task and choose Plan first.</b> Write it like a handoff to a teammate, name the repo, and pick Plan first in the chat input menu. The agent chooses a template, provisions a workspace under your identity, and proposes a plan before editing anything. </p></li></ol></div></td></tr><tr><td style="padding:4px 15px"><table cellpadding="0" cellspacing="0" border="0" width="100%" style="background:#1e1e2e;border-radius:6px;margin:12px 0;"><tbody><tr><td style="padding:14px 18px;"><table cellpadding="0" cellspacing="0" border="0" width="100%"><tbody><tr><td style="font-family:Arial,sans-serif;font-size:10px;font-weight:bold;text-transform:uppercase;letter-spacing:0.5px;color:#8b8b9b;padding-bottom:8px;">Prompt, then fill in</td><td align="right" style="font-family:Arial,sans-serif;font-size:11px;color:#8b8b9b;padding-bottom:8px;">Copy this ↓</td></tr></tbody></table><div style="font-family:Courier,monospace;font-size:13px;line-height:1.5;color:#e0e0f0;"> In <span style="color:#a5b4fc;"><org>/<repo></span>, fix <span style="color:#a5b4fc;"><describe the bug or small change></span>. Keep the diff small, add or update tests, and open a pull request against main. </div></td></tr></tbody></table></td></tr><tr><td style="padding-bottom:12px;padding-left:37px;padding-right:27px;padding-top:12px;" class="ee"><div style="margin-left:0px;" class="edm_outlooklist"><ol start="3" style="font-weight:400;list-style-type:decimal;margin:0px 0px;padding:0px 0px 0px 0px;"><li class="listItem ultext"><p style="mso-line-height-alt:150.0%;padding:0px;text-align:left;word-break:break-word;"><b>Approve the plan, then keep talking.</b> Reply to adjust the plan, then click Implement when it looks right. The agent starts editing, testing, and committing. Follow-ups queue while it works, so add context any time. </p></li></ol></div></td></tr><tr><td style="padding:4px 15px"><table cellpadding="0" cellspacing="0" border="0" width="100%" style="background:#1e1e2e;border-radius:6px;margin:12px 0;"><tbody><tr><td style="padding:14px 18px;"><table cellpadding="0" cellspacing="0" border="0" width="100%"><tbody><tr><td style="font-family:Arial,sans-serif;font-size:10px;font-weight:bold;text-transform:uppercase;letter-spacing:0.5px;color:#8b8b9b;padding-bottom:8px;">Example follow-up</td><td align="right" style="font-family:Arial,sans-serif;font-size:11px;color:#8b8b9b;padding-bottom:8px;">Copy this ↓</td></tr></tbody></table><div style="font-family:Courier,monospace;font-size:13px;line-height:1.5;color:#e0e0f0;"> Approved. Also update the README where this behavior is documented, and follow the repo's existing commit message style. </div></td></tr></tbody></table></td></tr><tr><td style="padding-bottom:12px;padding-left:37px;padding-right:27px;padding-top:12px;" class="ee"><div style="margin-left:0px;" class="edm_outlooklist"><ol start="4" style="font-weight:400;list-style-type:decimal;margin:0px 0px;padding:0px 0px 0px 0px;"><li class="listItem ultext"><p style="mso-line-height-alt:150.0%;padding:0px;text-align:left;word-break:break-word;"><b>Review the pull request.</b> Open it in VS Code, JetBrains, or Cursor, or connect your IDE to the workspace the agent used. Every action is logged against your identity. </p></li></ol></div></td></tr><tr><td class="dd" align="left" style="padding:0px 15px;text-align:left;word-break:break-word;"><p style="mso-line-height-alt:150.0%;"> Nothing about the task changed, only where it ran. The loop stayed in your <a class="link" href="https://elink983.thedeepview.co/ss/c/u001.8tm-lavloxZbk7LH_fkTGNY0Fhr91CWlTnwx18O-61P2D34fNQsF0F0Z1tqsUakd-OoLB8rq9PUJdPaHT791bj879woPzvRmkNwieDCexyd9MxHf2lnh4zEdBFrwmtpH6OEzc745sxt2wRY_cccNJlDFXOWPAthaWzVcx1wf1GQRNeCJnLIFJDG72snpPLtE6WDGNvYAwhwY4FJ5GscRZZnIfcQYtOzzlFmbLyG52gA0H51A4MB2xILguS0PWu-X/4v1/kJiGRwyWSRmAZXhdCV_-rw/h14/h001.KZNsFGpSy_0buoqAFVgGB5w4vBN5xT4TNbBsPUHAi_w" target="_blank" rel="noopener noreferrer nofollow"><span>Coder</span></a> deployment, the workspace came from a template your platform team already governs, and the audit trail starts at the prompt instead of ending on a laptop. </p></td></tr></table></td></tr><tr><td height="5.0px" style="line-height:1px;font-size:1px;height:5.0px;"> </td></tr></table></td></tr><tr><td><table role="none" width="100%" border="0" cellspacing="0" cellpadding="0" style=""><tr><td height="5.0px" style="line-height:1px;font-size:1px;height:5.0px;"> </td></tr><tr><td bgcolor="transparent" style="background-color:transparent;border-color:#CDCDCD;border-radius:10px;border-style:solid;border-width:1px;padding:0.0px 0px 0.0px 0px;box-sizing:border-box;"><table role="none" width="100%" border="0" cellspacing="0" cellpadding="0" style="table-layout:fixed;"><tr><td class="dd" align="left" style="padding:0px 15px;text-align:left;word-break:break-word;"><p style="mso-line-height-alt:150.0%;"><span style="color:#376DFC;">CULTURE</span></p></td></tr><tr><td class="dd" align="left" valign="top" style="color:#2A2A2A;font-weight:400;padding:0px 15px;text-align:left;"><h1 style="color:#2A2A2A;font-weight:400;mso-line-height-alt:125.0%;">AI's philanthropy push is also about power</h1></td></tr><tr><td align="center" valign="top" style="padding-bottom:8px;padding-left:15px;padding-right:15px;padding-top:8px; " class="dd"><table role="none" border="0" cellspacing="0" cellpadding="0" class="bb" style="margin:0 auto 0 auto;"><tr><td align="center" valign="top" class="bb" style="width:604px;"><a href="https://elink983.thedeepview.co/ss/c/u001.wZPohD0JH12EksCsbt8ZeFCsxgaiiSFhhEZXgbyLVQEbLK5GEk8IlKCj9DMYcu8cuixhbBITin4r2McXYu6Cyx6ZyYyjjVJs4jR7V0C5GF6tUFMYhK7hS6m-A16rdkt5UFcGN0yujN9wNKEnjpxWCas20-1Uq3R6R959bpOmi1woqIOKutafWaicpROwtygAQYD65plT1QqWuKNbZnFOS_hWRldBSW7b1Dr7TQQr_elNa-tSzSRXKIScrAS_fL-vgdxJQLzcvdycUpG4mcM2GMGiIUonz9KkWOyDr7bJkTqnousyIZiPqSZiu2suCFm-3rjR9wHOohN0DyyGrMJCWw/4v1/kJiGRwyWSRmAZXhdCV_-rw/h15/h001.sj5CQOrGYpUUnSTEEpf7wYegQhUzj7Z-a34-jiT6CvU" rel="noopener noreferrer nofollow" style="text-decoration:none;" target="_blank"><img src="https://media.beehiiv.com/cdn-cgi/image/fit=scale-down,format=auto,onerror=redirect,quality=80,width=1920,height=3840/uploads/asset/file/3b94919e-41f4-455e-9784-521182299597/54adb2c4586260825db995f9c7ad0a7b5ce52b71-1456x816_copy.png?t=1792446297" alt="" height="auto" width="604" style="display:block;width:100%;" border="0"/></a></td></tr></table></td></tr><tr><td class="dd" align="left" style="padding:0px 15px;text-align:left;word-break:break-word;"><p style="mso-line-height-alt:150.0%;"> Public sentiment toward the AI industry <a class="link" href="https://elink983.thedeepview.co/ss/c/u001.wZPohD0JH12EksCsbt8ZeFCsxgaiiSFhhEZXgbyLVQEfTaijywZKFwid6pVAWYn6K3TNuYQe-4X5fld3jdps6VoPKe8ussWDzak61PPNht7RvlyIToSA4oh6LRB6t0gQTVtsa_Q40n9PYXKpo2CsV8fsvxf9aQHoGLhvRamV_rs7pbubZaalGxs3OyZmDdO_vEtR7GkvbfN__01Mz7kdgI2FJsumgESLZYjyFH8tVC2dK7uthQvts36y-_4rnGe5E9IA43KQ8XKL9RgBLb_ukAZlVKt4Tgzy36wkWdp1wmwB4JvrpQcAEw_JcnsqH7Qj/4v1/kJiGRwyWSRmAZXhdCV_-rw/h16/h001.f1ZvX6coLTJpPCTxj0ctBK1uLF22dFunShXOvKqYkSA" target="_blank" rel="noopener noreferrer nofollow"><span>is broadly negative</span></a>. Now, the companies are leaning into public-good initiatives to try and change the narrative. </p></td></tr><tr><td class="dd" align="left" style="padding:0px 15px;text-align:left;word-break:break-word;"><p style="mso-line-height-alt:150.0%;"> On Sunday, Anthropic <a class="link" href="https://elink983.thedeepview.co/ss/c/u001.wZPohD0JH12EksCsbt8ZeKZ879DulReCOiaFyaf_FYwkUV0IwGDoj-P6jHNAosRYJ7gC-3QILmpkr-dWg2TR9vNBAXvPXuB94GnjgO48OxmMLbm56CJJF0YdsgkWMaKAzySaJASEAWv1CXtuRo9bHGjVQBlcuaj0OreE1zKPGhfYA6zPK8HH-FHKQwtqznjGRXsdTbmXwWGDghnmEc1B29IShBGtJCxrYC_HO1ISPJKUhI6CWS-9LTLGhX7MowUEwUPpPA0-RGeGtCFzqjK1gR6PCeRj516rZbj8-Z6rzl0/4v1/kJiGRwyWSRmAZXhdCV_-rw/h17/h001.0bBBKXvYd2f44XRqyZ4SncdzJBVP38oo6RulSqEb3ho" target="_blank" rel="noopener noreferrer nofollow"><span>announced</span></a> the Anthropic Public Benefit Fund, a new nonprofit arm that, subject to stockholder approval, will receive 5% of Anthropic's shares, with an additional 2% added at the board's discretion for every 50% increase in the company's value above the a set baseline, according to the blog post. Anthropic says the Fund is intentionally structured in a way that, the larger it gets, the more it can contribute to society. </p></td></tr><tr><td class="dd" align="left" style="padding:0px 15px;text-align:left;word-break:break-word;"><p style="mso-line-height-alt:150.0%;"> While the company already operates as a public benefit corporation, or a company built to balance profit with public good, Anthropic says this new arm will have increased flexibility and scale to take actions such as making large donations to traditional nonprofits. </p></td></tr><tr><td class="dd" align="left" style="padding:0px 15px;text-align:left;word-break:break-word;"><p style="mso-line-height-alt:150.0%;"> The fund will also work in tandem with the public good initiatives it already has in place, including: </p></td></tr><tr><td style="padding-bottom:12px;padding-left:37px;padding-right:27px;padding-top:12px;" class="ee"><div style="margin-left:0px;" class="edm_outlooklist"><ul style="font-weight:400;list-style-type:disc;margin-bottom:12px !important;margin-top:12px !important;padding:0px 0px 0px 0px;"><li class="listItem ultext"><p style="mso-line-height-alt:150.0%;padding:0px;text-align:left;word-break:break-word;"> Committing $200 million to the <a class="link" href="https://elink983.thedeepview.co/ss/c/u001.wZPohD0JH12EksCsbt8ZeKZ879DulReCOiaFyaf_FYxPzIF1fHixHyVNjBlEypwiDgrtINBBXTa80dybc6Ze-K-eBuECll-isfvlPdKBTDFxCQb3s0_r8OHjmqrIEWB4ObRhBP5IwYLuEQuMosW769R3TFT_YR7RBRkHo2tgV1OB7wHAC_tLhLS0aWqoO7b4xNxflHPHzQJCDqgxEv2FZ5LXRZp3V799KbSMMiMSnIOynUNy5fNtV5IxGBRD90sGnUrbwCA79EVc2XVrBK2wLdRDTdq5ZzttyGSH-btq115CdP79bsfvhE8ugxANN7fm/4v1/kJiGRwyWSRmAZXhdCV_-rw/h18/h001.x_ijgHTAaTUjP9Nyh1_oD8_M7_Wc2EpT47hTtOKTY5w" target="_blank" rel="noopener noreferrer nofollow"><span>Anthropic Economic Futures Research Fund</span></a> that focuses on research of the economic impacts of AI; </p></li><li class="listItem ultext"><p style="mso-line-height-alt:150.0%;padding:0px;text-align:left;word-break:break-word;"> The companies' co-founders' pledge to donate 80% of their equity holdings; </p></li><li class="listItem ultext"><p style="mso-line-height-alt:150.0%;padding:0px;text-align:left;word-break:break-word;"> And the equity donation match program that allows employees to pledge equity which Anthropic matches. Half of its employees participate in it currently. </p></li></ul></div></td></tr><tr><td class="dd" align="left" style="padding:0px 15px;text-align:left;word-break:break-word;"><p style="mso-line-height-alt:150.0%;"> Meanwhile, Elon Musk, CEO and founder of SpaceX (and its AI arm known as SpaceXSI) <a class="link" href="https://elink983.thedeepview.co/ss/c/u001.7zYFXt5AA3Px2NyJbPz6hH_CJ1mppKE82prMMZJOYODSGL8dsynf8wthqP7A2LM6ReAMNiPlAEDJTp5pdYYuZ4dhT4XdRYwTufJVw3qIFLme8xHYXS04TF3zDCrwog0v3t0gOdFYtk8uOnHYNsOs6-lUVbM_ZUuFUR-EBxUknC7uH1hcZzc2URi7LImvXmaTHgj0bR6t1NhyutvUOYGefmgKQNRdDahhKZG0Mf-5e-x3pG2WRJkiCUAp-qXcp56JfuKL1xf4ipLOMj4KOAoqYiHvPfyfw8yY9JFQ46lIVCc/4v1/kJiGRwyWSRmAZXhdCV_-rw/h19/h001.ZR8eO9LhEXWUmNf22xrOvEXkJdn51aJpHbu0VitBLwQ" target="_blank" rel="noopener noreferrer nofollow"><span>announced on X</span></a> that next year, he plans to give one of his SpaceX shares to "every kid in America." He also claimed that it would be the first of many, offering no additional details. </p></td></tr><tr><td class="dd" align="left" style="padding:0px 15px;text-align:left;word-break:break-word;"><p style="mso-line-height-alt:150.0%;"> As CNBC <a class="link" href="https://elink983.thedeepview.co/ss/c/u001.wZPohD0JH12EksCsbt8ZeA0jRZMFMy0fzMUA3Jxn85DEr2aKBOe85Tl0XPtlINb0V8eLcnHUs4zq5kzejNtqIQ23ueLU6XzSgqvi8KeopOQNlTO_9EQKKdyyIUw37B9t_2_CdjYfy4Aq6OfLv87DsNU088NIVVZbeNfAtrd5mQ6CRyS9uZwZnfMEVdDjFEXCLeBfW12BUgrvWQDMlsRGotkL1AXSE_gPP1LliiNWAT3NgPaExRUz98GlduO0w-G8wZIGoNDLhVgu7z2ElzvvwXpasnzQYOsLFIVOZAGG99v0uTvWVIZjV-MR1qqeVZ9L/4v1/kJiGRwyWSRmAZXhdCV_-rw/h20/h001.bIaNDfVf8VKtvBFpYXIU7cV5haMuyUVOkllAY8XWgbY" target="_blank" rel="noopener noreferrer nofollow"><span>reported</span></a>, Musk currently owns about 4.8 billion SpaceX shares, and there were 72 million children under 18 in the US as of July 1, 2025, according to census data. Musk would be, therefore, giving away about $10.5 billion worth of shares, using SpaceX's closing stock price on Friday. As this announcement is limited to an X post, and Musk <a class="link" href="https://elink983.thedeepview.co/ss/c/u001.5sXVVvymMF6ZsL5-zBaSfB8AVkdFk-pC3cibm_zUB96_T6ycwSJonYEXsqFMrC0VeXuPEwg0Ow78gT4ObJDlFbkOe_8PgOjCeLFE0v77H3bKUq0QLLWXugy3nHuA5E0g_09nN60KMGLnbP_1uqnMlzdA6tuDZzHMmUcS5viTxAZwnXmz5njIbw_5tLAMJbgFoumLkjOOOFdhYlloxi1WaQtIYqxD9F6GbB88Y50Q2XYw0an3x-L3_pttRmpiVDFroa7yVK1J1BRft99TiUUqek21eOyQTHsuHahsjc9DmC0qBuY3iEbqyi0Q9dgFXtsOg0E3vGklUi6hMQ4VLdYg9alI9jhaIDjAKO2Ez9GfqIw/4v1/kJiGRwyWSRmAZXhdCV_-rw/h21/h001.ou1_icx8ppFJKHLFoTAQM2vGH4ra3U0Xi5jda8ATh_w" target="_blank" rel="noopener noreferrer nofollow"><span>has a track-record for not following through</span></a> on philanthropic promises, there is no guarantee that it will actually come to fruition. Yet, even if it does, it would still be lapped by Anthropic's contributions, which will likely come out to the $75 billion to $100 billion range, according to <a class="link" href="https://elink983.thedeepview.co/ss/c/u001.wZPohD0JH12EksCsbt8ZeMyyEg56KOMIB6kDHWQ3IF0CFM2lNCm6sUmd8raHs5RIv9ZbMlD1vV-9fEc_ME_ywrA7K13gJGDJvEJNdJYe7NtWIRLhctCZiBESrVmMqIsT-giaXjvdjEYKDSsVtkNLREZqsCnnPlXWraJY3_hg4zXXjwaZK3QEGEiOlPfVIBt3PB4ThOJjcB3gYwpFRoMQ3fFAWLnY83Blis8Pyu3L8Czwv4q-l9VWDc4IaUZbI78jY1N_4AM5lcUrLIJMoKK3yPSrlxyWiIEdjZMLdLyBeoVK57Y6uacGju6eMHxq7-mtJYBX5SdpUXWBQD7J1qGEUg/4v1/kJiGRwyWSRmAZXhdCV_-rw/h22/h001.oLEGGGBYnRpSKRP0ZaVpay7njZdmu23095GwhiaXatU" target="_blank" rel="noopener noreferrer nofollow"><span>Reuters</span></a>. </p></td></tr><tr><td align="center" valign="top" style="padding-bottom:8px;padding-left:15px;padding-right:15px;padding-top:8px; " class="dd"><table role="none" border="0" cellspacing="0" cellpadding="0" class="bb" style="margin:0 auto 0 auto;"><tr><td align="center" valign="top" class="bb" style="width:604px;"><img src="https://media.beehiiv.com/cdn-cgi/image/fit=scale-down,format=auto,onerror=redirect,quality=80,width=1920,height=3840/uploads/asset/file/9e7d31c7-673b-475f-9c87-cf6c1be7b363/Frame_1410104594.png?t=1765345175" alt="" height="auto" width="604" style="display:block;width:100%;" border="0"/></td></tr></table></td></tr><tr><td class="dd" align="left" style="padding:0px 15px;text-align:left;word-break:break-word;"><p style="mso-line-height-alt:150.0%;"> There is no denying that, at face value, these are generous donations whose outcomes would be beneficial, and certainly better than no contribution at all. It is also worth noting, however, what these companies stand to gain from taking actions of this sort. Prioritizing public perception is becoming increasingly necessary for them to carry out the plans they need to maximize profits. The data center buildout, for instance, depends in large part on local and federal policymakers, whose decisions are influenced by how they are perceived by the public. Without sustained goodwill, that support may not materialize. Securing favor with those in a position to influence those decisions matters just as much. Anthropic is in an especially vulnerable position: the company could go public as early as November, in what would potentially be the largest IPO of a public benefit corporation ever, and markets are moved by investor perception. </p></td></tr><tr><td align="center" valign="top" style="padding-bottom:8px;padding-left:15px;padding-right:15px;padding-top:8px; " class="dd"><table role="none" border="0" cellspacing="0" cellpadding="0" class="bb" style="margin:0 auto 0 auto;"><tr><td align="center" valign="top" class="bb" style="width:232px;"><a href="https://elink983.thedeepview.co/ss/c/u001.wZPohD0JH12EksCsbt8ZeFCsxgaiiSFhhEZXgbyLVQG9VL466Ba62EuUEY3bWfAVu0z1De_zYWNWmJm4K7j_PXrr15imhKdfPu2RkNovaOFTYhOe7hiBkp7z1FFxoB6C4-SOJ1s-cwkfTsMiGjocxKW06FRbvVL27zTSrO0mWdRi8wEpXZQrEC7xA5wOCy5ymd6ueFILp3vB-Z3QejGcm24CcRpV1qVh3RarPKro3dNEh1mnVDQZ0-sdd17owQe2VG1Yb-D06MY25g8-PpsZXQ/4v1/kJiGRwyWSRmAZXhdCV_-rw/h23/h001.zC0LMbkGSoDHdTyzGXV3zsiGsCxnRBZqPJx72o-MMcI" rel="noopener noreferrer nofollow" style="text-decoration:none;" target="_blank"><img src="https://media.beehiiv.com/cdn-cgi/image/fit=scale-down,format=auto,onerror=redirect,quality=80,width=1920,height=3840/uploads/asset/file/e7e0e37f-8f6f-43d4-9af9-1a1e0c886e42/sabrina-ortiz-byline.png?t=1768575206" alt="" height="auto" width="232" style="display:block;width:100%;" border="0"/></a></td></tr></table></td></tr></table></td></tr><tr><td height="5.0px" style="line-height:1px;font-size:1px;height:5.0px;"> </td></tr></table></td></tr><tr><td><table role="none" width="100%" border="0" cellspacing="0" cellpadding="0" style=""><tr><td height="5.0px" style="line-height:1px;font-size:1px;height:5.0px;"> </td></tr><tr><td bgcolor="transparent" style="background-color:transparent;border-color:#CDCDCD;border-radius:10px;border-style:solid;border-width:1px;padding:0.0px 0px 0.0px 0px;box-sizing:border-box;"><table role="none" width="100%" border="0" cellspacing="0" cellpadding="0" style="table-layout:fixed;"><tr><td class="dd" align="left" style="padding:0px 15px;text-align:left;word-break:break-word;"><p style="mso-line-height-alt:150.0%;"><span style="color:#376DFC;">TOGETHER WITH BOX</span></p></td></tr><tr><td class="dd" align="left" valign="top" style="color:#2A2A2A;font-weight:400;padding:0px 15px;text-align:left;"><h1 style="color:#2A2A2A;font-weight:400;mso-line-height-alt:125.0%;">Reimagine enterprise AI at BoxWorks — Nov. 5-6</h1></td></tr><tr><td align="center" valign="top" style="padding-bottom:8px;padding-left:15px;padding-right:15px;padding-top:8px; " class="dd"><table role="none" border="0" cellspacing="0" cellpadding="0" class="bb" style="margin:0 auto 0 auto;"><tr><td align="center" valign="top" class="bb" style="width:604px;"><a href="https://elink983.thedeepview.co/ss/c/u001.Un_gMyUnz9Ke_mQuauvCaluvlcnZHRqimK83Ops0fCmnnVymF9b3kyTClg88lT62R_zcAruh3UCIkE81M8sVRTKfIBGd9yTHMVwRYy9sEmaqVeIBU2Iefjt03YC46e9A24LrVyJsfpEO-EnHxpedgsbG7_bBjV9RQ_y1LXbaRC6Zaa8W7GuITb1IaWA5BKXVcBjJGKmdJODBMl15BgJ3D0q2zE4BF6DB1IhYeWgwpBkPoKjKDwg4po14IQsZynbNG1WXHb2eeD2Ob3h3DA2Fw5QPnvK9-JiF6jP4GTydFAwhu-UbwnPIq7CAJeZeTA6kdcI6JMVYfWku4oJYO9YCWA/4v1/kJiGRwyWSRmAZXhdCV_-rw/h24/h001.iEEfW8hZ-C0cYLG7QY-MIUnrV9Qn4m_ES7HC6f7Jt-c" rel="noopener noreferrer nofollow" style="text-decoration:none;" target="_blank"><img src="https://media.beehiiv.com/cdn-cgi/image/fit=scale-down,format=auto,onerror=redirect,quality=80,width=1920,height=3840/uploads/asset/file/cbb5e336-7274-4371-8e57-e09e07af5c8b/1920x1080BW26Execspeakers.jpeg?t=1792183338" alt="" height="auto" width="604" style="display:block;width:100%;" border="0"/></a></td></tr></table></td></tr><tr><td class="dd" align="left" style="padding:0px 15px;text-align:left;word-break:break-word;"><p style="mso-line-height-alt:150.0%;"> Unlocking enterprise AI begins by connecting agents to where your business knowledge lives: your content. Box securely connects unstructured data to the tools your teams use daily — automating workflows, removing bottlenecks, and turning content into repeatable business outcomes. </p></td></tr><tr><td class="dd" align="left" style="padding:0px 15px;text-align:left;word-break:break-word;"><p style="mso-line-height-alt:150.0%;"><b>Join </b><b><a class="link" href="https://elink983.thedeepview.co/ss/c/u001.Un_gMyUnz9Ke_mQuauvCaluvlcnZHRqimK83Ops0fCmnnVymF9b3kyTClg88lT62R_zcAruh3UCIkE81M8sVRTKfIBGd9yTHMVwRYy9sEmaqVeIBU2Iefjt03YC46e9A24LrVyJsfpEO-EnHxpedgsbG7_bBjV9RQ_y1LXbaRC6Zaa8W7GuITb1IaWA5BKXVcBjJGKmdJODBMl15BgJ3D0q2zE4BF6DB1IhYeWgwpBkPoKjKDwg4po14IQsZynbNJq1CkGGsoBztQSAsm-v7pj6k4Qae8S21MlrSsY2GYhoeIQXaac8G7eMXU42Aaklr4FBPDfzh4Ow6nYsPTNPiXQ/4v1/kJiGRwyWSRmAZXhdCV_-rw/h25/h001.qYgLU21MrMI1ZqWglpvQaXN8U_9lBE88JKxZAIT9CBs" target="_blank" rel="noopener noreferrer nofollow"><span>BoxWorks</span></a></b><b> Nov. 5-6 in San Francisco to:</b></p></td></tr><tr><td style="padding-bottom:12px;padding-left:37px;padding-right:27px;padding-top:12px;" class="ee"><div style="margin-left:0px;" class="edm_outlooklist"><ul style="font-weight:400;list-style-type:disc;margin-bottom:12px !important;margin-top:12px !important;padding:0px 0px 0px 0px;"><li class="listItem ultext"><p style="mso-line-height-alt:150.0%;padding:0px;text-align:left;word-break:break-word;"> Hear from AI visionaries like Box's Aaron Levie, Nvidia's Jensen Huang, and Intel's Lip-Bu Tan </p></li><li class="listItem ultext"><p style="mso-line-height-alt:150.0%;padding:0px;text-align:left;word-break:break-word;"> Hone your skills around AI innovation and agents </p></li><li class="listItem ultext"><p style="mso-line-height-alt:150.0%;padding:0px;text-align:left;word-break:break-word;"> Get a first look at the latest in Content + AI </p></li></ul></div></td></tr><tr><td class="dd" align="left" style="padding:0px 15px;text-align:left;word-break:break-word;"><p style="mso-line-height-alt:150.0%;"><b><a class="link" href="https://elink983.thedeepview.co/ss/c/u001.Un_gMyUnz9Ke_mQuauvCaluvlcnZHRqimK83Ops0fCmnnVymF9b3kyTClg88lT62R_zcAruh3UCIkE81M8sVRTKfIBGd9yTHMVwRYy9sEmaqVeIBU2Iefjt03YC46e9A24LrVyJsfpEO-EnHxpedgsbG7_bBjV9RQ_y1LXbaRC6Zaa8W7GuITb1IaWA5BKXVcBjJGKmdJODBMl15BgJ3D0q2zE4BF6DB1IhYeWgwpBkPoKjKDwg4po14IQsZynbNn9tFcZkMlYgHM9lMWk0q1DagOk7HIq0n2QU6sRm_T_zxExe3iDi0-6LGXrBSps42x00ID84pcS2tSRvBye8aIA/4v1/kJiGRwyWSRmAZXhdCV_-rw/h26/h001.I1e4q7mam8sbLHcOZy7dPE2dg8ZG84xwAcC2xbBfI6U" target="_blank" rel="noopener noreferrer nofollow"><span>Save your spot with code DeepView50 for 50% off your registration</span></a></b></p></td></tr></table></td></tr><tr><td height="5.0px" style="line-height:1px;font-size:1px;height:5.0px;"> </td></tr></table></td></tr><tr><td><table role="none" width="100%" border="0" cellspacing="0" cellpadding="0" style=""><tr><td height="10.0px" style="line-height:1px;font-size:1px;height:10.0px;"> </td></tr><tr><td bgcolor="transparent" style="background-color:transparent;border-color:#CDCDCD;border-radius:10px;border-style:solid;border-width:1px;padding:0.0px 0px 0.0px 0px;box-sizing:border-box;"><table role="none" width="100%" border="0" cellspacing="0" cellpadding="0" style="table-layout:fixed;"><tr><td class="dd" align="left" style="padding:0px 15px;text-align:left;word-break:break-word;"><p style="mso-line-height-alt:150.0%;"><span style="color:#376DFC;">PRODUCTS</span></p></td></tr><tr><td class="dd" align="left" valign="top" style="color:#2A2A2A;font-weight:400;padding:0px 15px;text-align:left;"><h1 style="color:#2A2A2A;font-weight:400;mso-line-height-alt:125.0%;">China's open models threaten US AI's pricing power</h1></td></tr><tr><td align="center" valign="top" style="padding-bottom:8px;padding-left:15px;padding-right:15px;padding-top:8px; " class="dd"><table role="none" border="0" cellspacing="0" cellpadding="0" class="bb" style="margin:0 auto 0 auto;"><tr><td align="center" valign="top" class="bb" style="width:604px;"><a href="https://elink983.thedeepview.co/ss/c/u001.wZPohD0JH12EksCsbt8ZeFCsxgaiiSFhhEZXgbyLVQG9idFFhhLa7EdtW99A9Lsbo4vrGSAv3LdRd4YS9q9dVqhTl29ak8ndMqjJnfftvtWeNqhQYTmjIUTbn-RWYryP4RzOLEZ0smM4WaGxy4DWjADYj3cU0YsH11mQ0hX9SZxU8xuBt_eN-SH5x92sTtADsG9SJ6hitXAW_t-L0uYLlKDudk5J6Wnl0JEJJViKP3aT0DS54IMnUA0WneB5ZB5s7QXHWNdN9ISuEXExh3dLJiekSd15Kyvevf9ix9wMuMOZBjY6e3S5vllXMH5BFw1l/4v1/kJiGRwyWSRmAZXhdCV_-rw/h27/h001.M01eEHSXDt7uhwrnkypTa5ZfaQrZh8ZWwYbZwQvdiNE" rel="noopener noreferrer nofollow" style="text-decoration:none;" target="_blank"><img src="https://media.beehiiv.com/cdn-cgi/image/fit=scale-down,format=auto,onerror=redirect,quality=80,width=1920,height=3840/uploads/asset/file/4154f187-19b6-4647-b7e8-2ff3e1f2d0a1/thedeepview_A_cinematic_editorial_illustration_about_the_acce_f397a822-c8b9-4454-861c-01e1a5753878_2.png?t=1792446335" alt="" height="auto" width="604" style="display:block;width:100%;" border="0"/></a></td></tr></table></td></tr><tr><td class="dd" align="left" style="padding:0px 15px;text-align:left;word-break:break-word;"><p style="mso-line-height-alt:150.0%;"> As China continues to dominate the open AI ecosystem, competition between the country's labs is growing more heated. </p></td></tr><tr><td class="dd" align="left" style="padding:0px 15px;text-align:left;word-break:break-word;"><p style="mso-line-height-alt:150.0%;"> On Monday, Chinese AI lab MiniMax launched an <a class="link" href="https://elink983.thedeepview.co/ss/c/u001.wZPohD0JH12EksCsbt8ZeIPzQAk2TBmduoDPje1Sigk_VvwDbsRD6EHfVOKDvmnijWt0HdMtTv9Hu0Ce6o8TzkttrGpeLBRIv0ExwqLlURHRGQilfLKJJSeJ7jFde18wihf6lmlH4Z6pTF7HtluASusqcmvA34K_Oqjdv6xonDmZ9JNpiKZ6Pzh32ZTkX_0yqzx6oY7fLmZ0XPAovpXzKEIXdpyZ-ekrgdXWrVD5TxvEXvVMND4W4dytR0N9MNw9rEe-PrdHmL2RlScIASodnA/4v1/kJiGRwyWSRmAZXhdCV_-rw/h28/h001.DQ2eRdno7VD4a1JekFtiyb93A3KlaX0eWwBCyXd2fws" target="_blank" rel="noopener noreferrer nofollow"><span>updated version of M3.1 Flash</span></a>, its latest model which it claims delivers a "generational leap" in agentic tasks, coding, computer use and cybersecurity tasks. The multimodal model, codenamed "space bunny," also features a one million token context window, speeds up online inference threefold and is 70% cheaper than its previous iteration. </p></td></tr><tr><td class="dd" align="left" style="padding:0px 15px;text-align:left;word-break:break-word;"><p style="mso-line-height-alt:150.0%;"> In its announcement, the company said that M3.1 Flash "represents our ongoing exploration of the balance between efficiency and capability." </p></td></tr><tr><td class="dd" align="left" style="padding:0px 15px;text-align:left;word-break:break-word;"><p style="mso-line-height-alt:150.0%;"> The company claims that M3.1 Flash sweeps the board in a number of benchmarks, including for software engineering, reasoning, long-running tasks, coding and more, outperforming both Chinese competitors like DeepSeek, Moonshot's Kimi, and <a class="link" href="https://elink983.thedeepview.co/ss/c/u001.U8o1iQS8vO-NEynhA5aDiJVjYVEHlqTzDkyG2f80Se9CGqThBzD4WUvEzYv8B9ZyFzIZAhQ-R_Nse24pu31p6iKLKrD6ajjYFFxfHKF8gMyorQ_0Xf7HieeKtrmkeae6bRI5QwHtMkoxXVZgb-ZQNrDo0iHw6mTGyNv8upNNRg_WMf58RKM74ZvDxT2v3Q27dMeocNkgGJmAVPSiR-tlgSl0xk9R98hkTf-rnkvZ3jM/4v1/kJiGRwyWSRmAZXhdCV_-rw/h29/h001.H_qG48vQpSFLK7H5nMviPZeOKJBNbJSmB1sy1xdvNzs" target="_blank" rel="noopener noreferrer nofollow"><span>Z.ai</span></a>'s GLM. Minimax also claims its models outperform OpenAI's GPT-5.6 Sol and Anthropic's Opus 5 in the same metrics. </p></td></tr><tr><td align="center" valign="top" style="padding-bottom:8px;padding-left:15px;padding-right:15px;padding-top:8px;" class="dd"><table role="none" border="0" cellspacing="0" cellpadding="0" style="margin:0 auto 0 auto;"><tr><td align="center" valign="top" style="width:100%;"><a href="https://elink983.thedeepview.co/ss/c/u001.5sXVVvymMF6ZsL5-zBaSfDNnhIbJ6iz7qi8Eca3C-VizscLOdEkcL5ALpjHqPkJgOlz-PBqz1G9ixiknHv-gdJPDGZaDrqSJ-Kg3XVSxeHzBSmn2I7NjYxBmaqBYDspamLtoB152sSC7Wk-ZAOVf7Wp2WXQGEEHt-OeYTcpsC0K1HDHaxoV5kimYJC-0TLBR9i9whQdrJxPxjGUaxJSc34kDHlO46Cq2mdIM1dC4bUo-5HyzKDXzltMYy3G3lvsZjPnG5vHzRLhoHRJzTwrGS4XVXhScsCdnn6bb2vm6g50/4v1/kJiGRwyWSRmAZXhdCV_-rw/h30/h001.jJ992UCzKdbSXgYQwv4F7dYjr6RpuxcG9ndMYQ0Eef4" style="text-decoration:none !important;"><img src="https://beehiiv-images-production.s3.amazonaws.com/uploads/asset/file/7759f56c-3746-4ddc-8375-abd2f08c6fe6/twitter_screenshot_2112150867868541221_1792446349_a1160fca.jpeg?t=1792446350" alt="Tweet screenshot" height="auto" width="100%" style="display: block; width: 100%;" border="0"/></a></td></tr></table></td></tr><tr><td class="dd" align="left" style="padding:0px 15px;text-align:left;word-break:break-word;"><p style="mso-line-height-alt:150.0%;"> Additionally, the company claims its model is one of the most cost-effective on the market, running at 15 cents per million input tokens, 60 cents per million output tokens and less than 2 cents per million cached input tokens. For reference, that's a fraction of the price that model providers like <a class="link" href="https://elink983.thedeepview.co/ss/c/u001.wZPohD0JH12EksCsbt8ZeFCsxgaiiSFhhEZXgbyLVQETWQFUCCYVwC3Q2o8Onv3zyVVbPR1Dn86d3ojo6vdInkIJirs_wauV3-f3k9yJER67LRFalPTioPPEm09RUAXcXAH5ptZx-ANwrxb4pN3iDpdQSy-BIXQLTtOK3U-TcvwehwOvHgGNz_Wa6M0ZBqTXJXJDJi1HgzwGHPIx7mZCvX-sm8ow8ImV78q8Vvb4v2us88dphb3L2t-_1CknBHi5jb6zdzd8nQLiASSY2uXolY7G_7GzjDKTTNjzeDfiJFZD0BhLs4fdamVR-YYKsQjUe_2zPtxW9xdcud0ipTInMQ/4v1/kJiGRwyWSRmAZXhdCV_-rw/h31/h001.KSPLmH9fYP0naaEIYMIm_5Urgar4MQZ3DVrYZCP1BH4" target="_blank" rel="noopener noreferrer nofollow"><span>OpenAI</span></a>, <a class="link" href="https://elink983.thedeepview.co/ss/c/u001.wZPohD0JH12EksCsbt8ZeFCsxgaiiSFhhEZXgbyLVQFsZsuEsG5eeCFnaWq0Cr7vkQoRpxGuqPxnU_ZbPWlxyfHh8X13PjBDfGARw4ZeG8X92HpCAHlNtI0krq4U9W-G8bQ0g-NjJ10TNDG4qEC5FOTUCu23fttr1_076dp6ClbKNs0mkuVvLCYuGG3wSVfRPbFcjOP_AN6UHLZxrN2aa_fbglbK_m919ibMiLPTo_Pca5erD7lQmsZu7SKzlzUzWErLhztxeNLx_uHq3T1eGyLslkaytUnflJDazHsM3gkzCD7JxyljfjOf6Bta_Rj3dpPncQx3Efl-E-joTI9ONw/4v1/kJiGRwyWSRmAZXhdCV_-rw/h32/h001.gQZS6oGlrJr8yXC1j2av7OsaS-mUQubDnNpOsAn9XxE" target="_blank" rel="noopener noreferrer nofollow"><span>Anthropic</span></a> and <a class="link" href="https://elink983.thedeepview.co/ss/c/u001.wZPohD0JH12EksCsbt8ZeFCsxgaiiSFhhEZXgbyLVQGnLhQj86rRw1_j5qqiCWUey03fgvxo8c_71oIUAOVB22bU6Kv9ALrKqLPHHeWtNAN3GgKt4qel9CdMfFItGuDqZYR7bbwRq-mTsvbASdWY_nJiuVDXD8hB2LS2TwfQgPShhu9gN7gjH050yQagh49Ge7mCibaWrcin8mmO7vQ8hGpWcPxb1ZvllHjTKJQ1KuchdOXp3LZl-yNnZK4EA4NP6swuJJf2YE3PiPuhgCAI4vnoFpGPDG_wTmEGSCr6kfH_3IFq0KA64nLc5GIxssOKh4FmRiTBoThwAeIuW9Dbvg/4v1/kJiGRwyWSRmAZXhdCV_-rw/h33/h001.4WDYV69s-Q3-Wif2G2Dmg6GJdJwipBweHsj-1MjD6sA" target="_blank" rel="noopener noreferrer nofollow"><span>Google</span></a> are selling even their most affordable models for. </p></td></tr><tr><td class="dd" align="left" style="padding:0px 15px;text-align:left;word-break:break-word;"><p style="mso-line-height-alt:150.0%;"> However, Minimax isn't the only Chinese lab gaining recognition in recent days. Last week, <a class="link" href="https://elink983.thedeepview.co/ss/c/u001.gKxW2KpP8aPe_QMyOQduol12-PlgHwpDwIOKyhblkcx4Y4CAmG87qMp7HHD8AiPreB3mr8sKGEiFlT0hgUQP5q9jqe-ZDIzJBuI8S1O9-nQ65NlH2jT3Ws9BuiH11VnsR1NSAuwQGvh28okJjncuFTEFPREMg0KnTMi1KbF2BvAQjnMx8gLGvx4Bv0vsMF4xQd0KlRfbFdji_gj3OHg9fSTROy8BLS5sFFF7g_iBcdxJbiNcd3wXoI923-2VOsqgtdDKkMxsDt_2XaaGPY4pzw/4v1/kJiGRwyWSRmAZXhdCV_-rw/h34/h001.Wy7HChsM4d0jQVZDxT8y4yWGlAPUZUtA4fRhD17MMKY" target="_blank" rel="noopener noreferrer nofollow"><span>DeepSeek released V4.1-Flash-1017</span></a>, its latest model that similarly sports faster task completion, strong performance across benchmarks and improved costs. The model is a refresh of a DeepSeek model that was initially launched in September. Over the weekend, DeepSeek's model snagged the top score on <a class="link" href="https://elink983.thedeepview.co/ss/c/u001.7zYFXt5AA3Px2NyJbPz6hLVdI1rXhq0g_-LoAQGUHDAyrL7YTF9jOtE11aPPKASdQHVhOzETkjA_2NuIo5bFGj_T_iXDyjanglye4If3kvBYkCBO-tt2hWGT8AhlEkwSfPiaBPIJECwmxXorKTiqPkInF0_CHlg36r3yf7BbRnOSWKF8zvHAkb_7_duDjyzf_7Q0cJMdqDxcz_oVrluPpr5s318_hdJJlxHBGyUkZErgI22_1dcZGFhncR8mVk4l0O3jmSgNA9IHsJc0dI8Xng/4v1/kJiGRwyWSRmAZXhdCV_-rw/h35/h001.cwFY6Uid6qVSG5ytQVj0Z2vwggN67bB4yTXhW7vlAfE" target="_blank" rel="noopener noreferrer nofollow"><span>Code Arena's WebDev leaderboard</span></a> for open models, and 12th place for overall models. Additionally, <a class="link" href="https://elink983.thedeepview.co/ss/c/u001.7zYFXt5AA3Px2NyJbPz6hIHHtbpoBLpZY7V3oJ0Yr0XuUVCPMLIOwLnLHd46_fjyyk03K316XubJcTL6q9iY6B2TMvB0ik9Eq_rnPrKcySVbXbvLGEIz7HblGR_IKvwEaNLvzu6V2ctWSp3KZXTSGTLgMTyyQ1F8s5oiwnQVOhBBFLjradQmBHzvsmBqjd41W3Na8-vDU6aDqX0TjETcKQ19VGDda_CffOLsCnmaoIHAqp9wUr0lQ43JAezG4GCz5XRRy7cahtLd6G6SRwmQ464jWoBcrZvtbDznd6f-qsY/4v1/kJiGRwyWSRmAZXhdCV_-rw/h36/h001.m3LDPjVAr4PKcGTB3v7v0pEi_n7H-aJyaWCVHgLCSHg" target="_blank" rel="noopener noreferrer nofollow"><span>leaderboards from Artificial Analysis</span></a> show DeepSeek's model outperforming MiniMax M3.1-Flash in some benchmarks. </p></td></tr><tr><td align="center" valign="top" style="padding-bottom:8px;padding-left:15px;padding-right:15px;padding-top:8px; " class="dd"><table role="none" border="0" cellspacing="0" cellpadding="0" class="bb" style="margin:0 auto 0 auto;"><tr><td align="center" valign="top" class="bb" style="width:604px;"><img src="https://media.beehiiv.com/cdn-cgi/image/fit=scale-down,format=auto,onerror=redirect,quality=80,width=1920,height=3840/uploads/asset/file/9e7d31c7-673b-475f-9c87-cf6c1be7b363/Frame_1410104594.png?t=1765345175" alt="" height="auto" width="604" style="display:block;width:100%;" border="0"/></td></tr></table></td></tr><tr><td class="dd" align="left" style="padding:0px 15px;text-align:left;word-break:break-word;"><p style="mso-line-height-alt:150.0%;"> Open models could completely shift the economics of AI, offering an attractive price point to developers and enterprises that are quickly growing fatigued of the price tags that frontier labs are charging for their proprietary APIs. Updates like these prove that open models are quickly closing the performance gap with their proprietary, closed-source counterparts. While some of this development is happening in the US, such as <a class="link" href="https://elink983.thedeepview.co/ss/c/u001.ljxaHJcuNf45qr3fbssaWsc91X3pOTldHtuVrY_-VeP0BSlD8jvgi_t945PpUgc996JGK0QMMJ5bU_uyRzXeY6fzaaRzgwJl67tK8gGvikEqVgxw6MfZpuFqBn5s1I0xmVjDzDu2gQnbPSitECh6ZW-MH_RSJTCrqzuR2rKN6cugTBQ_PJ76jAEOuf1UPWMNwQQqBG0vLCTP3PSyFSchV-CMNcP0VXCx4bRgITDnJD2Cl8TJQF01GOrJViVR68CgJIK-YevTgI3VQnr6LkXFLb0FDsRkZcY9adnOqWZpiQDhnTQoF_HQQBPrdV9w1biXFGs0PBGeygXXeOeUnVcDERjbg58JHqwqjcRfyezz1H12bKZnznszoLL93pZxpxNYFxlzFoA2IZ70qRoEyoGrzQ/4v1/kJiGRwyWSRmAZXhdCV_-rw/h37/h001.3-zIqyKXaHlw188xMtqSuwJwocYEv6ATwMZCQMzFTVg" target="_blank" rel="noopener noreferrer nofollow"><span>Nvidia's Nemotron models</span></a>, <a class="link" href="https://elink983.thedeepview.co/ss/c/u001.bRyAZqbpnjflConTFuZ6lWOLQObB2dttI3EGFqHBo_Xz4AoVPVAqX5rq2h__veFjpW_i4do6zRvfWgTBvvah1q1jOJx_tiF6OEaFId9PpF_iQUApwmcB-ecJSnsEsMFQVvexXEqaV3EWa4n8kbjeW7IOJ08C-lbyx72un4ix7_XzcFdOmhHbIwm4QiP8x5H-dezua_XKk8nWRRJKGZXYvybD-os-o5T03nAAdVydtIjyauGvZd68ylq1BvLmFNhjdhIejpetVnLYe5GvO7UPVg/4v1/kJiGRwyWSRmAZXhdCV_-rw/h38/h001.RZCyGMmzd9pMQspbqWPN3EZZtIZVwbiUizYzp0i2n0U" target="_blank" rel="noopener noreferrer nofollow"><span>Reflection's Beam</span></a>, and Meta's recent release of <a class="link" href="https://elink983.thedeepview.co/ss/c/u001.wZPohD0JH12EksCsbt8ZeFCsxgaiiSFhhEZXgbyLVQGEWOZ_tUk4ciAz9fsXE5MDgwKiolRnrS1ze4vMuzmNxcer1bbAiZ3GyQzkU93T_T7XooN9btQ501hCywBXVptZagrGxEX6dbW6gq5BEvRlwJn8HapaGauKOzOpsfUMo-h9A9zZoLe8R3JX4Mb-RotgIl-VG76hb_bWpDFiYC_f_gbxLJUH0T5lnrzDnCfmDai7uB9U4cn4THn3hWnBQBTcjRHZc0IAyEwi-AKQcr3Hj-Lc2ZggRCu7cB0FgZ-9kdG3qJH5ae22caZ35287K9U0/4v1/kJiGRwyWSRmAZXhdCV_-rw/h39/h001.yrO9bs_krI51GhsbusQl6xeftQToaHEA2FzAL8b5wZY" target="_blank" rel="noopener noreferrer nofollow"><span>Muse Spark Open</span></a>, the vast majority of open source AI innovation is concentrated in Chinese firms. And the models that these labs put out come with a few caveats, including <a class="link" href="https://elink983.thedeepview.co/ss/c/u001.wZPohD0JH12EksCsbt8ZeFCsxgaiiSFhhEZXgbyLVQGMlIG51l59p8BB-Pxz3tyTEPECINIu1LMF1Zpc01NVOZlMb9rJqpeYAeMaAbzmesnleslrNCdIyMsIwyrdWc8YPHrsZ79PtNrruEJlMZQ0eQ6P8wioY9e8F_GvQuiqiHUuB1YFiES7-qSqMNyqQ0ev4BZsDLtziw5sCyEVy3He0AiTmfh5Dp5yq1erHNkpF6iQqlJWhswpCUn1RNHILJss9Zkgvz5Zv44atPcYa3umFtkEZIHixHWnuejFvhk-OgE6-dgcu-ddOyNiapjS_MLwfdUOftM7sFgFWwyqobidUg/4v1/kJiGRwyWSRmAZXhdCV_-rw/h40/h001.UE_3o2VhKzlN_58gIfeH737XaQ-_8BTFpJaWhrKlXms" target="_blank" rel="noopener noreferrer nofollow"><span>thinner safety and security</span></a> measures and accusations of <a class="link" href="https://elink983.thedeepview.co/ss/c/u001.wZPohD0JH12EksCsbt8ZeFCsxgaiiSFhhEZXgbyLVQETWQFUCCYVwC3Q2o8Onv3zf2nmuBBYy84J9BfzJC-EPBFxxw4Hf44B3cTRTWXn2IPDzOGMqpWttuF8jeDA54QGihWr5HAAGAjIDrNc0_0vBOt-kWvAz7gTPhHLJseq7_l_xBDN6g_noQjAtOAKSbWDTUB_FAfS5EUK6jooXeXY2i-9tB-HwTjjBRhz3XUC3x98frdtXVlG52BqXpaprdd90whyu9zsxxvUVGZNkeRidWFrpPdxCcn83T6k-3vqAa75mcT3JnxSKJH4t-meDpyV/4v1/kJiGRwyWSRmAZXhdCV_-rw/h41/h001.cbuF9z28ZRULhsF94GIrcjfxn6H4HEegnMI1ZwbzDWw" target="_blank" rel="noopener noreferrer nofollow"><span>model distillation</span></a>. </p></td></tr><tr><td align="center" valign="top" style="padding-bottom:8px;padding-left:15px;padding-right:15px;padding-top:8px; " class="dd"><table role="none" border="0" cellspacing="0" cellpadding="0" class="bb" style="margin:0 auto 0 auto;"><tr><td align="center" valign="top" class="bb" style="width:232px;"><a href="https://elink983.thedeepview.co/ss/c/u001.wZPohD0JH12EksCsbt8ZeFCsxgaiiSFhhEZXgbyLVQFKn1NlWIaIrDFbkIp-vDFz9vl2oMteOvCy79ZvCi1mqG4kWD_t-qHhp9szpM0TR44k2gYM-0T9wF68Zf7ApaGHpUclbesMCQWC0V53n9l80zbakqZcnkleA7FiYxguYrkHXHGiESXlmy0BPJCnM7cNX3RyPvnrws3M1kx14NNeyLWSTVUMj41gEg0Zf3Sm7GkdxV1HBSy9_L158A_9UcCxHMJj83fuvr9bz6rNhEL3MSpdPikIqUg0U4kp9kmjgUw/4v1/kJiGRwyWSRmAZXhdCV_-rw/h42/h001._82GR7_UrRakgDBRUyAWpy06OloOVOYBvNS6tpP5NsI" rel="noopener noreferrer nofollow" style="text-decoration:none;" target="_blank"><img src="https://media.beehiiv.com/cdn-cgi/image/fit=scale-down,format=auto,onerror=redirect,quality=80,width=1920,height=3840/uploads/asset/file/48fe9d73-e19a-4746-98cc-8d49eb41c139/nat-rubio-licht-byline.png?t=1766448867" alt="Nat Rubio-Licht" height="auto" width="232" style="display:block;width:100%;" border="0"/></a></td></tr></table></td></tr></table></td></tr><tr><td height="5.0px" style="line-height:1px;font-size:1px;height:5.0px;"> </td></tr></table></td></tr><tr><td><table role="none" width="100%" border="0" cellspacing="0" cellpadding="0" style=""><tr><td height="5.0px" style="line-height:1px;font-size:1px;height:5.0px;"> </td></tr><tr><td bgcolor="transparent" style="background-color:transparent;border-color:#CDCDCD;border-radius:10px;border-style:solid;border-width:1px;padding:0.0px 0px 0.0px 0px;box-sizing:border-box;"><table role="none" width="100%" border="0" cellspacing="0" cellpadding="0" style="table-layout:fixed;"><tr><td class="dd" align="left" style="padding:0px 15px;text-align:left;word-break:break-word;"><p style="mso-line-height-alt:150.0%;"><span style="color:#376DFC;">LINKS</span></p></td></tr><tr><td align="center" valign="top" style="padding-bottom:8px;padding-left:15px;padding-right:15px;padding-top:8px; " class="dd"><table role="none" border="0" cellspacing="0" cellpadding="0" class="bb" style="margin:0 auto 0 auto;"><tr><td align="center" valign="top" class="bb" style="width:604px;"><img src="https://media.beehiiv.com/cdn-cgi/image/fit=scale-down,format=auto,onerror=redirect,quality=80,width=1920,height=3840/uploads/asset/file/1c8854ee-478f-4500-a7a9-d5280dd7fe8e/In_Other_News.png?t=1768575169" alt="" height="auto" width="604" style="display:block;width:100%;" border="0"/></td></tr></table></td></tr><tr><td style="padding-bottom:12px;padding-left:37px;padding-right:27px;padding-top:12px;" class="ee"><div style="margin-left:0px;" class="edm_outlooklist"><ul style="font-weight:400;list-style-type:disc;margin-bottom:12px !important;margin-top:12px !important;padding:0px 0px 0px 0px;"><li class="listItem ultext"><p style="mso-line-height-alt:150.0%;padding:0px;text-align:left;word-break:break-word;"> AI agents attempted <a class="link" href="https://elink983.thedeepview.co/ss/c/u001.wZPohD0JH12EksCsbt8ZeJZhQAXVvetCccu91EM4RKRsuOEaCXyE0JLljH4Q9LYFwE-nF77KyDOVUtWpk_Blx4qHMA-p60wx6E3TAAXGnuyjXO8YXxNLbobFUGZN-2MSOZ4sHVXpJXorJMEjDH-4OGx_K-xhlFFJCcO2Jm_i8JbSDsdC7TOZWwiIHYhNvHf96Cv0YlgwZeF9fIh4eaxt7ojKym3MStU2hrJDj_gr9zokyBClLn0A7oUnz6mo2qg7Reznd0yB7yaJU3mqEu_24071cacwLaf3UC_VNIcMnsRii3XC5QsBHkP-mqdie4Mo2_Z985k3aY0HPWtN50ulT46amaoDsOkbqNpTTSPzPhE/4v1/kJiGRwyWSRmAZXhdCV_-rw/h43/h001.YPK86y3Kav96gwcrbZQtZvAGpVzfXK4DUpxD_41NvoI" target="_blank" rel="noopener noreferrer nofollow"><span>1,200 break-ins, compromised over 100</span></a> sites </p></li><li class="listItem ultext"><p style="mso-line-height-alt:150.0%;padding:0px;text-align:left;word-break:break-word;"> Google Deepmind agents beat <a class="link" href="https://elink983.thedeepview.co/ss/c/u001.5sXVVvymMF6ZsL5-zBaSfDcl9IJU33_PVZpLul-Kzcx1vv5Mdq5A3HoL8H10IEwyAoRgaJR9CLVtvEWcIOGEGdzovEEvJecIZ2V8uHs_3qXs62ilyJbNG2l26wlQSm7vrUfJ2mlHra4odfEpsmMi_1JaqRxGahUbFPeHxJfzkBytP1Uuyuz52CQCS8i0IRagMciI_g4s3WAPHcWa9EGDhn4MqT1JL0_8j4iy_vWstk3xguDxJcZbWCNSPa4kv5i_1-tavXH5j-X--6djxShM9ewEhRqepuBTXtqBr7Go6pQ1aDq64LUk3Z6VW2Aqm7qJMS0GeAiJChUsyUEAiyWx8g/4v1/kJiGRwyWSRmAZXhdCV_-rw/h44/h001.nozGjgdpPvQio-G8kU2s3tcxalVXfUAf9isO5G88Yj4" target="_blank" rel="noopener noreferrer nofollow"><span>Minecraft autonomously on Gemini 4 Argon</span></a></p></li><li class="listItem ultext"><p style="mso-line-height-alt:150.0%;padding:0px;text-align:left;word-break:break-word;"> Tenstorrent, an AI chip designer, <a class="link" href="https://elink983.thedeepview.co/ss/c/u001.wZPohD0JH12EksCsbt8ZeND5z3fn2eA5HMQUmmQlReaKu1tOr8zLo4GQnPW2OaCh_VjY2-QQ_1hRSWLsy5au5KcM973gPx1fvS1LRkU1tLZPRWV4W7L3Tsoo2Sdr5huJ67ydziV3hj-6_iuAcNyWy2SxjvFQURs_SScJ7niFI_2LkvF6hvXFpf4y7UJ0goiYdLv9QfMZQxsVKic3I_bMF9NTqf3Sv-fDHbRGaMOpl_QvsqG7csBxdoUcivQycRD_WaITe60HD8cQeItbLBvDGf9nE16hHUU8vlQf8qybNNBeDYAr0zXQtpTEArH9TaKe4wjYifPeVFbr3DeL2U0i6LR8bx90j5LrkBcEHDd4a10/4v1/kJiGRwyWSRmAZXhdCV_-rw/h45/h001.Qjk6T2C9C9imUIhWykKlLOROB9ShIszIore2GHlxDzc" target="_blank" rel="noopener noreferrer nofollow"><span>raises $1.5 billion, $6.2 billion valuation</span></a></p></li><li class="listItem ultext"><p style="mso-line-height-alt:150.0%;padding:0px;text-align:left;word-break:break-word;"> Compute startup DoubleAI <a class="link" href="https://elink983.thedeepview.co/ss/c/u001.wZPohD0JH12EksCsbt8ZeIGwtoAjm4Hupw73Ryk0qM0XlPVbszk5RVzEbZy1iYLWJ91LSrO-r6yrst_7n7mec0t7MV3AOgxBr8svABTckZki4sJZyDiVZXnU4tAzVLKxBpvF8TJ-51uqtn9RyNR8Zf7QsLFnWNOEOemWiKiykPqemVuMteXY3DnHoJShW1IxZ-IubwzHHJPRG-cc4mOh_qHZS65EeD5Wu5GgHYXoD-acvdYkfep06vi5xN-iNQ7D5rtykxj0YENkIT2bO3nYVKuk8lvprg5KodME0abG8qCStsR_YI9Y05s-cO1nIYve8UUEvTFrxYzCI8PpUcXugf3vC22ZAdf2rMK6_JSy9odYfrpL5cVDBDtec10CjF8MHRI21QZGYtVMqMqkK00d7S_-5JGdCyIQQ9SVteUl1d4/4v1/kJiGRwyWSRmAZXhdCV_-rw/h46/h001._RATZHRB3LsqcEPX15RNJyGwexxtC2x-ABL12miQWYY" target="_blank" rel="noopener noreferrer nofollow"><span>launches AI category to cut computing costs</span></a></p></li><li class="listItem ultext"><p style="mso-line-height-alt:150.0%;padding:0px;text-align:left;word-break:break-word;"> Disney seeks <a class="link" href="https://elink983.thedeepview.co/ss/c/u001.wZPohD0JH12EksCsbt8ZeJZhQAXVvetCccu91EM4RKRsuOEaCXyE0JLljH4Q9LYFwE-nF77KyDOVUtWpk_Blx4qHMA-p60wx6E3TAAXGnuyjXO8YXxNLbobFUGZN-2MSOZ4sHVXpJXorJMEjDH-4OGx_K-xhlFFJCcO2Jm_i8JbSDsdC7TOZWwiIHYhNvHf96Cv0YlgwZeF9fIh4eaxt7ojKym3MStU2hrJDj_gr9zokyBClLn0A7oUnz6mo2qg7Reznd0yB7yaJU3mqEu_249uDfst2o5xr3t5U8kKg5WLWGRDPyTWtBrlvXbQlUdBBYSIKmfxaCO7xnyLRfUBDHMU3thIyhXc5m327vTMzHhA/4v1/kJiGRwyWSRmAZXhdCV_-rw/h47/h001.7fzjzwUpMhniM8aos416xmOsbtmlVkizcocb5xHWIp4" target="_blank" rel="noopener noreferrer nofollow"><span>Character.AI assets via bankruptcy</span></a> amid child safety lawsuits </p></li><li class="listItem ultext"><p style="mso-line-height-alt:150.0%;padding:0px;text-align:left;word-break:break-word;"> Microsoft <a class="link" href="https://elink983.thedeepview.co/ss/c/u001.7zYFXt5AA3Px2NyJbPz6hApzbHhZ0INVLiNxge2Th5Cab3_18Al_XrGaE4ZOpE_5Bc7K2o9PIOasBAlWW8eWiejkwEmUgA4zEX3TCqnm8H23_kXUfIppt2oyVya2WxPuxlJrW7ynJgGRKYGsObI8AI2PbkzI3KTxi7OZjuSsCEl7-c7R3mm9y4gdlmeZca-6D80Gt8PVdfU6__cO6l3omzlUPpZ_8NEqFS7Ngmk1JLXsfAFtT0MMYqqBDiTdei8Teq_16elfEWw6xFGS0Q47QpWUJR2iBEn3ENghgF-d29Q/4v1/kJiGRwyWSRmAZXhdCV_-rw/h48/h001.W27LyJfKbVeOqzTXKVzwnYKkvSTBPk3UU42x4ogZ0uU" target="_blank" rel="noopener noreferrer nofollow"><span>treats AI agents as insider threats</span></a> with new tools </p></li></ul></div></td></tr><tr><td align="center" valign="top" style="padding-bottom:8px;padding-left:15px;padding-right:15px;padding-top:8px; " class="dd"><table role="none" border="0" cellspacing="0" cellpadding="0" class="bb" style="margin:0 auto 0 auto;"><tr><td align="center" valign="top" class="bb" style="width:604px;"><img src="https://media.beehiiv.com/cdn-cgi/image/fit=scale-down,format=auto,onerror=redirect,quality=80,width=1920,height=3840/uploads/asset/file/59d274bf-9e99-4acf-a6c7-ff9cdbb0233e/image.png?t=1752986916" alt="" height="auto" width="604" style="display:block;width:100%;" border="0"/></td></tr></table></td></tr><tr><td style="padding-bottom:12px;padding-left:37px;padding-right:27px;padding-top:12px;" class="ee"><div style="margin-left:0px;" class="edm_outlooklist"><ul style="font-weight:400;list-style-type:disc;margin-bottom:12px !important;margin-top:12px !important;padding:0px 0px 0px 0px;"><li class="listItem ultext"><p style="mso-line-height-alt:150.0%;padding:0px;text-align:left;word-break:break-word;"><a class="link" href="https://elink983.thedeepview.co/ss/c/u001.7zYFXt5AA3Px2NyJbPz6hNQgUOG5w30vHF3iehEOfWQTq1JyJktUnWHNH0aivc-jUyv4qvXZKPQtwaUfXoy-pS9qgjUcg2n7LDDihs_GHuGrGswiqingDhxGzl0cS3vP9e7ApCV5LcTBCOvrEjfWuWiYscWqjNSlJp-H_wpmgcnPEaaCZ1CsZQR576Qp9HQ5-JB9hzrwgtYXjgt_LchNDuPjCbpkpLOUQAnN7Ql4hZLkuywITzYw2vK7XsT1H8LSdbwZx1jMKX1yoP7ZhiTiqx1Of8NGd08lGGX2DOR4Wbk/4v1/kJiGRwyWSRmAZXhdCV_-rw/h49/h001.RQu-3JZD9-IpWeku8t7ZlYV0WFMGuE96a_-kJH4mxyU" target="_blank" rel="noopener noreferrer nofollow"><span>Reason</span></a>: A simple, state-of-the-art coding agent. </p></li><li class="listItem ultext"><p style="mso-line-height-alt:150.0%;padding:0px;text-align:left;word-break:break-word;"><a class="link" href="https://elink983.thedeepview.co/ss/c/u001.7zYFXt5AA3Px2NyJbPz6hME85dnDSFFIQUUa2cigAFIJvMSpSzQbjptx6uioKr-A8q08s9dSlTuUZt5ZHA1DruDHkySJyPCMowZd_wwTW9RMRfaO_sRRfNZ3hKjo7ES0d8VVo3bFSYhWZhmfK9PqOkYs2Nz5RuNR-sQdugEoiSr7N1BOwFty0Y2NjsQ2CyIMTH58_vsmYpFpqElqlp4Njy4nsj93NxFgPXvnGbUp5TnXqdfip8TydwXw6E3QSxK-LTxm-GjL3PZxhd2ntffg3_UkV5IF8M3_xUyR5oxkh8M/4v1/kJiGRwyWSRmAZXhdCV_-rw/h50/h001.RarpQhX_d7ipzbRgnboZ7dPwiRTYJPVap5UN27Q3UMc" target="_blank" rel="noopener noreferrer nofollow"><span>Exa 3.0</span></a>: The company's latest model with its "largest ever improvement to search quality." </p></li><li class="listItem ultext"><p style="mso-line-height-alt:150.0%;padding:0px;text-align:left;word-break:break-word;"><a class="link" href="https://elink983.thedeepview.co/ss/c/u001.7zYFXt5AA3Px2NyJbPz6hAurBIdjEdpgIlRTwC3zWQ2q54nxeQnWfVVt7DXAnnUBP4L9O6fpnHynAp9_59-zWuqGi_qwsAx6bbXT5aYcsKPQjl7h8hDevIz3sXDKijVa8-qDRu61-37EmPVqCsA8tcLdn-J7MOT5v5nxQNQYIcUMDZiy4IFiQXKMuv_S_wa954-MrMvV5KUeZjy35xtR7ybre_KfRF5AtV_kh-nmHZ4x5dCrbiNT_l5iSkQPeB06zMHUiPUaUzaqynigirMpzw/4v1/kJiGRwyWSRmAZXhdCV_-rw/h51/h001.cpL_44jZbPgCLG9cbqGlPTseXRc6n_Tjr_sMb37raRc" target="_blank" rel="noopener noreferrer nofollow"><span>ChatGPT Slides</span></a>: Users can now work together in real time and make edits right on slides. </p></li><li class="listItem ultext"><p style="mso-line-height-alt:150.0%;padding:0px;text-align:left;word-break:break-word;"><a class="link" href="https://elink983.thedeepview.co/ss/c/u001.7zYFXt5AA3Px2NyJbPz6hPbWvh4R0yM_MpzoMJeF1-0vsiK2DP3lyJLccvdzh4fJy_0OYEt6rZr2VkNLoB_L38UnVJBvpiMv2ctflMHC6vjMN2xEnLDZmvPsQPHP5UQfaUPNZAxCKoVX_mFIPkoMT8axfYcH7pf79zd4R7U20XiNKI5R5zacZG3SiUveIvqFYZPK_hNmX2LwDdGtepAzBKMhT5v8wEOR8U-NcvrOa6eqN7FtYgDHA1uFjRi8ppsUGlm2a1hpYCbQOL9DeKU0XKhQN5Oc1VKw9dA-4SnXq-A/4v1/kJiGRwyWSRmAZXhdCV_-rw/h52/h001.yS3_NR6k3eHqNFQdFuR7rl2MRtE8ctgFpBVVrB8PWII" target="_blank" rel="noopener noreferrer nofollow"><span>Ming-3.0</span></a>: Ant Group open sourced five models across three speech families. </p></li></ul></div></td></tr><tr><td align="center" valign="top" style="padding-bottom:8px;padding-left:15px;padding-right:15px;padding-top:8px; " class="dd"><table role="none" border="0" cellspacing="0" cellpadding="0" class="bb" style="margin:0 auto 0 auto;"><tr><td align="center" valign="top" class="bb" style="width:604px;"><img src="https://media.beehiiv.com/cdn-cgi/image/fit=scale-down,format=auto,onerror=redirect,quality=80,width=1920,height=3840/uploads/asset/file/25296119-9f00-4620-9931-2d98d0068485/image.png?t=1752986966" alt="" height="auto" width="604" style="display:block;width:100%;" border="0"/></td></tr></table></td></tr><tr><td style="padding-bottom:12px;padding-left:37px;padding-right:27px;padding-top:12px;" class="ee"><div style="margin-left:0px;" class="edm_outlooklist"><ul style="font-weight:400;list-style-type:disc;margin-bottom:12px !important;margin-top:12px !important;padding:0px 0px 0px 0px;"><li class="listItem ultext"><p style="mso-line-height-alt:150.0%;padding:0px;text-align:left;word-break:break-word;"><a class="link" href="https://elink983.thedeepview.co/ss/c/u001.wZPohD0JH12EksCsbt8ZeL790OLpBPJTXJU7GedVKmbM6Bq5xDdy2nBDSELqtRlrOyoEwX0bYTiHP-efr3RjfWbjk9z-hyPfd50_mime3d9FPd0YNEq9kq0uF8bzNrEiYiJZp77dwc-Dl3jtk0iWwKWuyGkMXZn_Y78yQhFyknsyls1oq_7oeXTZJHZbnVLjFBFw7XUEALj3Qm9wZzK83Ewc2ZYDSEbtb-vIDbmV8s6YLQuW9JUqdH8wx9mMjw9vAbE1knuWTRFoN8V0N4zNjQ/4v1/kJiGRwyWSRmAZXhdCV_-rw/h53/h001.1GeJcucnrVjfyGWyrrQLNbafuONVXFqevdp0GbDFcxE" target="_blank" rel="noopener noreferrer nofollow"><span>Fonzi AI</span></a>: ML Engineer </p></li><li class="listItem ultext"><p style="mso-line-height-alt:150.0%;padding:0px;text-align:left;word-break:break-word;"><a class="link" href="https://elink983.thedeepview.co/ss/c/u001.wZPohD0JH12EksCsbt8ZeL790OLpBPJTXJU7GedVKmbqhSDsv1T7HwZ1xc7Wl6TK-sh95mTZBGuL9f05QugnhqqSetOBG2HhoFI7f3l0gHWiuRH8RoEoLdtgveYAMNq8qxbr7M0ZzTJFrQrpj_0FEPU4dLSxH4abv4BKqqFz5og-xQJbG8W3OhQDA3ufXyTTPhtg3su60iC6k6Uus9lawy1DztZfAAeIsBjGulmeRI5UBvI97J0nJE2dMvX0KTZWCKZAmwjJTR8GLGVpjnncsw/4v1/kJiGRwyWSRmAZXhdCV_-rw/h54/h001.WlrSAbImgfAAqZzhhKaiBciL7RvRT4zXPk7D-1ibL14" target="_blank" rel="noopener noreferrer nofollow"><span>Kaizen Equity Partners</span></a>: AI Operations Associate </p></li><li class="listItem ultext"><p style="mso-line-height-alt:150.0%;padding:0px;text-align:left;word-break:break-word;"><a class="link" href="https://elink983.thedeepview.co/ss/c/u001.wZPohD0JH12EksCsbt8ZeL790OLpBPJTXJU7GedVKmYrAiboLGnZcCfz0btuHuuQgUkfXQeWwpKlcAC9Dw_S7UwcpkgDXtzGr_zsf41ZYsYHYR8ilfkYeH59NlI6AGxIkWurvr9ej38y3B4Tgb8sM5dppYaZRVG1eR_gvHpfoPHeciYbeCQZh96KwKyXJN7RgT6u8tDeX9BoAFeptJvtIqufiEd7CBXjXaSvXpaXqFTYKZldQVh3ZG4dx_I4_gVImjX5ymvWbZmcDB0sUMGrrg/4v1/kJiGRwyWSRmAZXhdCV_-rw/h55/h001._YCHav79vh6zx3ovyLpe8uCoB1oZDDceR9HT_a5gXHI" target="_blank" rel="noopener noreferrer nofollow"><span>Moring AI</span></a>: Solutions Architect </p></li><li class="listItem ultext"><p style="mso-line-height-alt:150.0%;padding:0px;text-align:left;word-break:break-word;"><a class="link" href="https://elink983.thedeepview.co/ss/c/u001.wZPohD0JH12EksCsbt8ZeL790OLpBPJTXJU7GedVKmbx3Dj5sCiRe-m44MqF1YWUvZWaG6Whybba9cSFjRqFOKsZTAyaBP2QZDdjFvp1-ATjJZeM5ZDzxMGyT3iO7Cruo4nwf08w84zCYNt2I8kONLKdob6_ijkxlUvfq6bNF-QSjG5YF5iZj08oaRAWwzI-uE58-P_qehugPfheWkovSoLW8lQEY2M9nnnCgx1B5z7sBo0F7AEQdgr24hdoN7c2MSWOH7q15P7XnzRaFhFilg/4v1/kJiGRwyWSRmAZXhdCV_-rw/h56/h001.IgNLiH1R-DOg-EMQbZSTTmEw0PswODPji07PIy-12-Y" target="_blank" rel="noopener noreferrer nofollow"><span>SB Telecom America Corp</span></a>: AI/ML Engineer, AI Infrastructure </p></li></ul></div></td></tr></table></td></tr><tr><td height="5.0px" style="line-height:1px;font-size:1px;height:5.0px;"> </td></tr></table></td></tr><tr><td><table role="none" width="100%" border="0" cellspacing="0" cellpadding="0" style=""><tr><td height="5.0px" style="line-height:1px;font-size:1px;height:5.0px;"> </td></tr><tr><td bgcolor="transparent" style="background-color:transparent;border-color:#CDCDCD;border-radius:10px;border-style:solid;border-width:1px;padding:0.0px 0px 0.0px 0px;box-sizing:border-box;"><table role="none" width="100%" border="0" cellspacing="0" cellpadding="0" style="table-layout:fixed;"><tr><td class="dd" align="left" style="padding:0px 15px;text-align:left;word-break:break-word;"><p style="mso-line-height-alt:150.0%;"><span style="color:#376DFC;">GAMES</span></p></td></tr><tr><td align="center" valign="top" style="padding-bottom:8px;padding-left:15px;padding-right:15px;padding-top:8px; " class="dd"><table role="none" border="0" cellspacing="0" cellpadding="0" class="bb" style="margin:0 auto 0 auto;"><tr><td align="center" valign="top" class="bb" style="width:604px;"><img src="https://media.beehiiv.com/cdn-cgi/image/fit=scale-down,format=auto,onerror=redirect,quality=80,width=1920,height=3840/uploads/asset/file/d120b54c-d56c-4fbc-bdbf-41e83cbbc770/image.png?t=1752987116" alt="" height="auto" width="604" style="display:block;width:100%;" border="0"/></td></tr></table></td></tr><tr><td align="center" valign="top" style="padding-bottom:8px;padding-left:15px;padding-right:15px;padding-top:8px; " class="dd"><table role="none" border="0" cellspacing="0" cellpadding="0" class="bb" style="margin:0 auto 0 auto;"><tr><td align="center" valign="top" class="bb" style="width:604px;"><img src="https://media.beehiiv.com/cdn-cgi/image/fit=scale-down,format=auto,onerror=redirect,quality=80,width=1920,height=3840/uploads/asset/file/4383faf3-de7e-48ad-a601-0ffa3cc92cdc/AI_or_Not_-_TDV_-_2026.10.13__2_.png?t=1792447198" alt="" height="auto" width="604" style="display:block;width:100%;" border="0"/></td></tr></table></td></tr><tr><td align="center" valign="top" class="e"><table role="none" border="0" cellspacing="0" cellpadding="0" align="left"><tr><td align="left" valign="top" style="padding:15px 15px 10px;"><h3 style="">Which image is real?</h3></td></tr><tr><td align="left" valign="top" style="padding:0px 15px 15px;"><span><a href="https://elink983.thedeepview.co/ss/c/u001.gKxW2KpP8aPe_QMyOQduokBEDIe6892b9r6MySOyoYX9V_Kgr2DtZUuIPMjvWXE-NyLIpD_dq0JLD2AfpPuDYREmxAGphunbH-0lXhIDnMR_bI1_Y-Wk-RGFzQv55k5thVjWz0xiWA-GuAtwimuq08hFrPBRr2glrKHHTefGzx4wVyAkD9mj6TW7YWQorWNcYdJQrtUh0FSo2ncInXK9RmEGxnc3FEd78Q4VACcgTzJh44Aj-6s32W_wuOZM-7q7x63mZMWgpFrcsbUlwPUwwmstf6AXuThLWmG92-NRA67Q7G8AkLMrBuV1R7h8nCIL2W28jF1CgQRoVf3a1oQg5jH_uvWSSwO4hrW4DSaE6m0X9_wdZouK4dJ2zvB6_V65y9_abJ9pFbvY53HdeWMh87yiKcBXF86BRYFoBmQS3oLsv4Rp98r-eagbUDB2VMq17B5CfOOc8OMCd9dNFNoQhHU7Jo-ueVhMvi3hR0rGq-x3G4Mrb2HWek8algSUmkscibftw8IOCVFHrS-ZNctoslSNOBzTBIfSizf5KHkGeEGEklOFdzbuwishIfioNwNDlBYS3MpkXi_EHmH-Kd-CVxls-I0P6LXE4jwX_bRs1rrw7JS3ojH7LF7hoE0ydyAvXEbPNOy3627-QFcckHJOcKGb1_WU2P7yiYeVlUKbVQOw3q3AtsGBZVwzqjlq_Zwj0lkfyS_EoMZuWCT4PG2heR4I4SuF9-8zY0ugq2-eg43yVn9gKbUHvsYqYejAWfjqV-YZcixYP2zYEkK0Xko3doL6DyPJ2KbRiQgcyIvfGMcg1UTKiTBu0vNzwfG6Ahv1pf9DQHkxMoI6d0hmWIacwJQF0fj3eEk60lkcQHytYQoIerRSvAu2mXzwnkbzWf6W5BcJYpldSJixqzJC8ffjkQDjUeaZJHDvNI2BA1dDzLS5UCYmMmcGC6i6jw0nS1VjE2w6iGlyBDdFBDq6g5AQmhxC14Cc3A5dkGzEpoMOPaR8RipE86nhHj6ReQLXCOz1Re0Z1eBk5OPDjgdiBahvBASR8Aj1MZ9rtH6KAKMVwm8/4v1/kJiGRwyWSRmAZXhdCV_-rw/h57/h001.cVUL1203U2GJhd8eyjrw9Nhnluhna40bZfD0d84ItqQ">Option A</a></span><span style=""> | </span><span><a href="https://elink983.thedeepview.co/ss/c/u001.gKxW2KpP8aPe_QMyOQduokBEDIe6892b9r6MySOyoYX9V_Kgr2DtZUuIPMjvWXE-NyLIpD_dq0JLD2AfpPuDYREmxAGphunbH-0lXhIDnMR_bI1_Y-Wk-RGFzQv55k5tf03PRx21mb6VI3GfNYHTiW0loTqxO_8lf7SI4pHFATJhwdut-ZW48bsr-PzTTKmyR0XZv0FNHV-6Q5eQrXEUFAThc4nqWxIxctG8mOyCdJgQtZ0ET77DlMyRekIsochTSrbpr-dFYBFRUuIaoODAV2pkD3LZoaGFjmQffP5D1OzSelmdpCtnolUGHL0POJsSUBn5m-sA-LsR7Q4XEtQKYw1D9DoRQ0M9alhaedBFqZD_Y0_i7b0AEMB-Jh-8e90ZE92-y4LxmBGChUDrCis6NG4kIyE141KFWp9sb3QCSH7wFKisgGaUpqWmjl8ASkJrhe6LimMjZe9mkNOcH9gNC2bQLAVTp6quo_dpaP-3iKoH3wLxPUSFLmvOvAYDg4atjTafLSLXLaBKuYtpovrHmlepM04AiTelKQ1XSwFMd3FMwnNlKWVN53zTVud-3CiaL4ha-cjq7BLdmmWWuZnvVBpWJXDobJr5JwUxeo5KjeVQUkFQc3fAOg6IIqP6SoO6lCuRYGi_hdns9yczreXnSAiQzNiZgsk6nAlvd7RcI34y2qF9PI7wGUh2QLg-NHe_jSatKiKH5s0hJRMvKy-V36F6VhGhIXw_i6KDeJfB-gujXiTmlvk6Xk04Uni9RC-PERdfdDmkUCj8ftsI5_bUZfgMtito0QeCg7k3O_Goc8J_8ZvQHUySFGMC_ylcANFlF5Q2jWvOj449QLwlbJYwSI3-9krIKFU3jasZnt8BpbJ_DXY9MMQq16vlQh5fWUfwrUjstcCKFU3SqC3e1e9IVc_0TmBLz-3pUHa6sBWgWT7_-ELUufgMH9baXzCRWYMMJ_2Ikf4B3M50m5W1ySXSYxAlNPr7i5PpLVfb1gwGBHPEYADCx8CcKJ8vEF71oqxgtmmzRB3X8A2PwAz3n_E2XXDSEhH8yLT2Z3Lbs52rZBo/4v1/kJiGRwyWSRmAZXhdCV_-rw/h58/h001.zZcP2EzcOpTTze7QOOUxy2yWnhJkaLvZ5Oa5WQ9kmUk">Option B</a></span></td></tr></table></td></tr></table></td></tr><tr><td height="5.0px" style="line-height:1px;font-size:1px;height:5.0px;"> </td></tr></table></td></tr><tr><td><table role="none" width="100%" border="0" cellspacing="0" cellpadding="0" style=""><tr><td height="5.0px" style="line-height:1px;font-size:1px;height:5.0px;"> </td></tr><tr><td bgcolor="transparent" style="background-color:transparent;border-color:#CDCDCD;border-radius:10px;border-style:solid;border-width:1px;padding:0.0px 0px 0.0px 0px;box-sizing:border-box;"><table role="none" width="100%" border="0" cellspacing="0" cellpadding="0" style="table-layout:fixed;"><tr><td class="dd" align="left" style="padding:0px 15px;text-align:left;word-break:break-word;"><p style="mso-line-height-alt:150.0%;"><span style="color:#376dfc;font-family:"DM Sans", Lato, Montserrat, sans-serif;font-size:16px;font-weight:400;">A QUICK POLL BEFORE YOU GO</span></p></td></tr><tr><td class="e" align="left" valign="top" style="padding:15px 15px 10px;"><h3 style="">Do you think AI labs' philanthropic efforts can impact sentiment towards the tech?</h3></td></tr><tr><td class="ee e " style="padding:0px 15px 15px;"><div style="margin-left:0px;" class="edm_outlooklist"><table role="none" border="0" cellspacing="4" cellpadding="0" align="left" style="min-width:300px;"><tr><td style="width:100%;border:1px solid rgba(50, 50, 50, 0.17);padding:6px 12px; border-radius:4px;"><a style="font-style:normal;text-decoration:none;" href="https://elink983.thedeepview.co/ss/c/u001.gKxW2KpP8aPe_QMyOQduokBEDIe6892b9r6MySOyoYVhQGrCRVGkxsKe_Uh5dc3NKSctutMEfUL3WSlqTFXWNPzkUHLW2IL3Fyevlj4UONudKGzNH7e5RVI0XEu7E-jRDHOd6vZcLF7riTNx8BrcBJiwne6UHzlzVYHtKFtSnNrx7rfM9IygBtR5750yCex9R50ZqQS3joU_4_73jXisiRxwbEd9qmzV-dbbUfxGYOrcEZtRhDt-eyF_5vg_kRHczkBm9uSO0zonSnHJxhQyMnELbibsxydrbqXSj7J2l_3Usnt7n533Fg_UcfePv47mggZl_k5lNntPskXCAgXbBHlEZNpdkBhuwirgr8Vim8IoXGQ-Dqls0GQe5RxrePV2Obqy0N0uj5rjGMBMaENYIVaDSSNnXIuJtvmocatLNAv_0hZo6o_Iz8oWUuOarUQLSDjN-Q_2eAkBDsUDXE7kTlOXtn4x0eyzcncbr8O9-hf0apiE7CsNjJUto2RM9Be3nx8N-P2KtiNz-6yvw4xeYOF_jNx3iXqOObazFwbtAioAhZjoBeAg9M21Rzr_6q89Z528spqegcgIFvw06lR1iIZ8b2CMtnjTYvzmnFvCho5E2bAGPvbWK7CAHvQeFR9cZReHaeR6cC3fKlL340KRgBiLVGxn6oS9LLpyr--xgTVrSfu3699lo6ErTDbYORXFVEKKSfdKSfXDMPoWVBrkJSvjGt68HVHLoC43EFYLsIzdfbCEMsNi5dhxJDCBu_b_-s2esxzVRwpCRv9HXb5sAB7KZX1LBrqKotUkhEEn6PxH1uP1NSmYrIW7yCOGSx_XWlyHekQtaY1WPLzuhFFCWfyP-Ko-HxR-nC51d_cv6w5nMiUquQp-fqP0UO8t3Bq27apSGrYYaAZE4tpqE7QDwDMEswWf6KvalK0qflkemzm7CbfhB9IThRylKd96oSQwOliLB2xbAa-lZiB_79O2g_SU-E895HGDZiX2dxw-sEjLibOQvXNNMAcu-yhTqJDnVqwOJSnuxerX9_1U24qOboKbQ8YBoNeYSQqmUyfOLC4/4v1/kJiGRwyWSRmAZXhdCV_-rw/h59/h001.2o4i4PrwjBuiNHDcj2vgByC0VizlRHbw4GmTUPPNgQs"><p style="font-size:14px;color:inherit;"> Yes </p></a></td></tr><tr><td style="width:100%;border:1px solid rgba(50, 50, 50, 0.17);padding:6px 12px; border-radius:4px;"><a style="font-style:normal;text-decoration:none;" href="https://elink983.thedeepview.co/ss/c/u001.gKxW2KpP8aPe_QMyOQduokBEDIe6892b9r6MySOyoYVhQGrCRVGkxsKe_Uh5dc3NKSctutMEfUL3WSlqTFXWNPzkUHLW2IL3Fyevlj4UONudKGzNH7e5RVI0XEu7E-jRCKROiBDm6mIafU8IBJZi3IIzisRvG24Lr2i0XbIaStwLWbHOftG7z1znWNxPvqnzHrMSk90HNYQbdOjC177HrWracOTKCHW9MWZulGpauJ3pkX3iuIBTCTM_PRWknCre9od1OskUJWuNec6XPgyCFsnvzEYebnPq69H6Q78O60a4LkVqtudowR8XJyFQ8S99vU3509D6AglrS6PdDwoKGrCa-ncEnoNxb6IK3rqNtrZrXOgJqe7izunWFADMthP-QAAWZdPhqhMrSfdftc92CFSFZrrKX5Itc-t-liI6LMtKsuXbTbwN409rELx4denK8ljvrYeZ-YledZDgEAlPdpN-RgHaAV3ntBnTbef6fMbQ-N5h8A8OShGZVnazMR6tHTUSY9MdVAyH8ytILsh9hdp6zJV0iF32BIhyFhQ_jHNKsm8B8Tut1hNM4A929U0QmR1pn4SiyCF0yNp6DEtSPw28OfhaOI9vdDPq5jJwzchz22zUXzsZD8R8lz_xoSfT8XzGLCYqSzn6RpT2-qzxuQHeoQRj28niAC65bqOjmyKQ4Z0y3Av7SKxuHLWxBrnu_weSgdGqNBUMwiInleimahWBzLvXqpLtU-6LddqH_VbCRdHVw_oirsPUwVtuzHKXDBi5QYF9go8XdS2D9R3z75R4NywhuG-hp1MjT02OqCR3B5fXRwO6wSwLw1_qkj2a0EfKxdPCBc94_ZAdiPMLtPC_SkSGhHrTAphOH9RvdCjeaM6Ebd8dgjpfVhDhhysIAlAxG5jIW6kPlMj2Qk_71EwItF9kKxJalodzTlJluCnXCQReDulEPEOdle-82UzQNL-XMtcXlYrjU5Pe3t8Ntbf3movBirBmltT5mBFoB_Ido763c6P9zHwUVV8eO-WOxiLE1XPuWUuavrFIzz6pMRJZKqhl75p8iGew6Wk5EDo/4v1/kJiGRwyWSRmAZXhdCV_-rw/h60/h001.dKePlTqOr8RtgXLyMpNKPpkcHlP-EH2RjYMXuIq_t4s"><p style="font-size:14px;color:inherit;"> Somewhat </p></a></td></tr><tr><td style="width:100%;border:1px solid rgba(50, 50, 50, 0.17);padding:6px 12px; border-radius:4px;"><a style="font-style:normal;text-decoration:none;" href="https://elink983.thedeepview.co/ss/c/u001.gKxW2KpP8aPe_QMyOQduokBEDIe6892b9r6MySOyoYVhQGrCRVGkxsKe_Uh5dc3NKSctutMEfUL3WSlqTFXWNPzkUHLW2IL3Fyevlj4UONudKGzNH7e5RVI0XEu7E-jRsk-QzDV3AD4drgegcKLwWJADX8Xap4S0MppP3pAJ1393OtMaejB9JkvZBYNtVe_vL75Bwcz7YKYlVx-ncjZuv9Bq_Zp09lNdUb84fVYL53W-Tw9KoluDq6BX8lG04_xYDjBSBX4W98-zdFdYl7TbNfmjzZBWHNzPTL-Xk_uO4Cvf9oTbkPCSJtaMwf8_gF9jzQjEaQyGZugY-a-7LoJWxM-UQuyR19-q5af3q8f7qXpLJgD8wtrgAvzEZiXWzOWtkGx42tGwpSw036favptILeN1mSs-0rKnKUFvfFqdhbdUHeMTWHxx3KvEGIvfd0Z8iT9isi40crj3FX5fq1wKKkH4wWESfwRw5pzBnzOWxJmgbjDtNlrmYwS3mIoz4vAzvptZbJ3IAuvhjWpa_Uypdzd-52ruSwNjv4oW0pIPYwLaurAcJmkp8dYxNH5mnaHQeUXwjB0hfZDtAO8R5M2-K7176VuAXdQSd_nktM2Q3hsfguy6TdePjuFCZ_jimYIBLaZiGaCt0nhhzKoooqpegkMwhEK-G_9hrAclhW7izVSAFSNrnPdhC4pSn2UzPvH-4QeD51swVCOOt7pcvMwOusw8P3pr3OqVWinBBCRp4CZB4jIU2S3YYEHKZnfUpI8ypydjhw98mAyB_lIoTteI2y6ST56N82B9lwppjmUOrtEt2CtHP9U7dYbhKGr2gmBKx8iXFCF3vwZc4tyoq6ImK5JMnzWi5tF8YOfFJSzwyLu5TleJRw8gejkbubnnCf2tOdGSlPDya0R5O1bxTxKl7cTDAWB5VAWJeyolm6CbwV9m9xykeMlnUmaaqL__bKcMIp0YTwCL5pODyfyNOsqg22aIrNxwrDiIANbAdG4XWC2HFffdfVgNpHjLHTN-02JnHkmn5euSvjIhdR-GKJZL_mZ1vPJfpX6-5jUMtHKs3cQ/4v1/kJiGRwyWSRmAZXhdCV_-rw/h61/h001.GVk5dqkvDDJ9Bj890nO42VwVdbNiwwS-yenq47Q0DkA"><p style="font-size:14px;color:inherit;"> No </p></a></td></tr><tr><td style="width:100%;border:1px solid rgba(50, 50, 50, 0.17);padding:6px 12px; border-radius:4px;"><a style="font-style:normal;text-decoration:none;" href="https://elink983.thedeepview.co/ss/c/u001.gKxW2KpP8aPe_QMyOQduokBEDIe6892b9r6MySOyoYVhQGrCRVGkxsKe_Uh5dc3NKSctutMEfUL3WSlqTFXWNPzkUHLW2IL3Fyevlj4UONudKGzNH7e5RVI0XEu7E-jRbTA6NLRj-AJLKfUl_ahirR6fd6hXA3tXTNtPaeKWQ4ISiGHVcglsdHn6WLy2yof19CZwpVIBc7ky246nvSlZNmFPJ2ditBqGUp3O_ld1fDluTnPIAGXFpOrfIveGgbv5fIcD4fMR8CbtPcFQZ5YZEJ7nrDkwAyt8OJR7niIGb99I5VVsCKQ9vbELEppsEzq5mCAPgByBUEo6q5IsDwTTbvaFmJiXVhnc8s7p6KmRyQT15fgLq_KzfgqylQS1JKk2viPWmPkclgmKgHXU46rKwkx2BaqjhSu3n8O0UGIJdZy6Bli-nuAIoVAKAGCMxBVBsdHYMfl17v3BZg6bJOUq9gCfr15K2VnzeyPIqABxeBcsFX9TQsI5pKGDIk5ZT4k5RCcUIJ1D6YoL5wq6nQCpSPDrueQjl97dURPh-0KIq-jgtMVO_qndRVjBIARnGROj0_5kGKd7gM5zzfkygY4L3SVzkZHdqhmSPOu0hj0G6ggz5aRghQ_XZ4FkuvitgK0wfx21nPTOdUOl88OOA9dI30-Dikyf5N6V0YvL64KXpkdFsIATdOT6AF-klb7qkgH6OGxjdVHHldbO7mX4ZVfxCN1C31CKWk34jE8WqbqvmVFfZ4EyWob1SyPdVtyosKnA2oxOl6qzX3JhyzucGBQNWxsef_UisOdhMJ9o5foX7_lYrBb84hNI6DJpBv7xDs8QWs3XZGoY6EITNN5ufpRj4j_2LP18wLc8MpKaKcGP35r-g1Ch_W1YCDHAyyUXNUh-tfoITUm5Dlv1eE4lincJD3FdmDrKWiNDpQAm3dpKM4LbwfVHMBZmzJVHKevnghsVOaewS85gwSW8oYZAUqMXmya1TGHdmWWKExIAcx9AAoA07HeW5NBhn_huDeZ1jSJUs0cAQflQKm8pawQzKVDWxew4NkIc0IJ2ZRIM7AE9iSM/4v1/kJiGRwyWSRmAZXhdCV_-rw/h62/h001._piWzxBwtI3t0FbEm4G_ChqupO0hlISARTK4imK5Zgw"><p style="font-size:14px;color:inherit;"> Other (Tell us more!) </p></a></td></tr></table></div></td></tr></table></td></tr><tr><td height="5.0px" style="line-height:1px;font-size:1px;height:5.0px;"> </td></tr></table></td></tr><tr><td class="dd" align="left" style="padding:0px 15px;text-align:left;word-break:break-word;"><p style="mso-line-height-alt:150.0%;"> The Deep View is written by Nat Rubio-Licht, Sabrina Ortiz, Jason Hiner, Faris Kojok and The Deep View crew. Please reply with any feedback. </p></td></tr><tr><td align="center" valign="top" style="padding-bottom:8px;padding-left:15px;padding-right:15px;padding-top:8px; " class="dd"><table role="none" border="0" cellspacing="0" cellpadding="0" class="bb" style="margin:0 auto 0 auto;"><tr><td align="center" valign="top" class="bb" style="width:356px;"><img src="https://media.beehiiv.com/cdn-cgi/image/fit=scale-down,format=auto,onerror=redirect,quality=80,width=1920,height=3840/uploads/asset/file/ddb65d9a-93a7-45fc-a6df-33b96db903fd/Multi_%2B_sabrina.jpg?t=1784369432" alt="" height="auto" width="356" style="display:block;width:100%;" border="0"/></td></tr></table></td></tr><tr><td class="dd" align="left" style="padding:0px 15px;text-align:left;word-break:break-word;"><p style="mso-line-height-alt:150.0%;"> Thanks for reading today’s edition of The Deep View! We’ll see you in the next one. </p></td></tr><tr><td align="center" valign="top" style="padding-bottom:8px;padding-left:15px;padding-right:15px;padding-top:8px; " class="dd"><table role="none" border="0" cellspacing="0" cellpadding="0" class="bb" style="margin:0 auto 0 auto;"><tr><td align="center" valign="top" class="bb" style="width:604px;"><img src="https://media.beehiiv.com/cdn-cgi/image/fit=scale-down,format=auto,onerror=redirect,quality=80,width=1920,height=3840/uploads/asset/file/f13ecf40-963d-4c4e-8059-8f41083085a8/Frame_1410104595.png?t=1765345242" alt="" height="auto" width="604" style="display:block;width:100%;" border="0"/></td></tr></table></td></tr><tr><td width="100%"><table role="none" width="100%" class="mob-w-full" border="0" cellspacing="0" cellpadding="0"><tr><td width="50%" style="vertical-align:top;" class="mob-stack"><table role="none" width="100%" border="0" cellspacing="0" cellpadding="0"><tbody><tr><td align="center" valign="top" style="padding-bottom:8px;padding-left:15px;padding-right:15px;padding-top:8px; " class="dd"><table role="none" border="0" cellspacing="0" cellpadding="0" class="bb" style="margin:0 auto 0 auto;"><tr><td align="center" valign="top" class="bb" style="width:294px;"><a href="https://elink983.thedeepview.co/ss/c/u001._eRcgL6IV0j0vCz64F9DYsTYv7xewIT1mxEGOx1gWqUlfR1CKG7aocwWLN10cpxHrs9yVrcXv2Gb51PA0ZxsoKONHCzmeZ7IyeE0hSTxOXjiTZ8Pmx_2wIxWiLJJEMxpldxANaLGTMpe0NuIyxscEX8h06_Ir2X9dQI4Jfq5GsCKhpMnZS5mE7aPc6DODUrPJh4RdL7CPwIBxgOJQ6xDt4QtkltL_izsa4_eWNFWJo8QLe5T_1BxVYRlbrLu6AKaXn3NFUEtdfE3Tdoz0ynGsThVRjtM9kkWkdxAZRHf0q7wH0k3K7tRZx2cg__UnmYA/4v1/kJiGRwyWSRmAZXhdCV_-rw/h63/h001.wntrLM-_G179adr7J9gVihUh2Ml07YiBCUV7LedKE5Y" rel="noopener noreferrer nofollow" style="text-decoration:none;" target="_blank"><img src="https://media.beehiiv.com/cdn-cgi/image/fit=scale-down,format=auto,onerror=redirect,quality=80,width=1920,height=3840/uploads/asset/file/bf5727e5-1d1e-4fdd-a143-e8abe603af2a/Real.png?t=1792446552" alt="" height="auto" width="294" style="display:block;width:100%;" border="0"/></a></td></tr><tr><td align="center" valign="top" class="t bb" style="width:294px; padding: 4px 0px 4px 0px;"><a href="https://elink983.thedeepview.co/ss/c/u001._eRcgL6IV0j0vCz64F9DYsTYv7xewIT1mxEGOx1gWqUlfR1CKG7aocwWLN10cpxHrs9yVrcXv2Gb51PA0ZxsoKONHCzmeZ7IyeE0hSTxOXjiTZ8Pmx_2wIxWiLJJEMxpldxANaLGTMpe0NuIyxscEX8h06_Ir2X9dQI4Jfq5GsCKhpMnZS5mE7aPc6DODUrPJh4RdL7CPwIBxgOJQ6xDt4QtkltL_izsa4_eWNFWJo8QLe5T_1BxVYRlbrLu6AKat7wp9uMlLDDwCf5N9DaQbLJOhzCaCFGORGioNUBKvruiRA9pMNYjyZw0xtoTXbvt/4v1/kJiGRwyWSRmAZXhdCV_-rw/h64/h001._w1dAQtQ2F7XkNzcXIe_Wn2uEqPsfS-NM-XmpXcjdEQ" target="_blank" rel="noopener noreferrer nofollow" style="text-decoration:underline;text-decoration-color:#000000;"><p><a class="link" href="https://elink983.thedeepview.co/ss/c/u001._eRcgL6IV0j0vCz64F9DYsTYv7xewIT1mxEGOx1gWqUlfR1CKG7aocwWLN10cpxHrs9yVrcXv2Gb51PA0ZxsoKONHCzmeZ7IyeE0hSTxOXjiTZ8Pmx_2wIxWiLJJEMxpldxANaLGTMpe0NuIyxscEX8h06_Ir2X9dQI4Jfq5GsCKhpMnZS5mE7aPc6DODUrPJh4RdL7CPwIBxgOJQ6xDt4QtkltL_izsa4_eWNFWJo8QLe5T_1BxVYRlbrLu6AKaHy43HtsrWSmJQFdt7XSEJg916OoOVugOqTEZ3DffeYcC12bG90alTSlMeTZTiRFT/4v1/kJiGRwyWSRmAZXhdCV_-rw/h65/h001.JizOAcrpShyp6Wz7Btfsy5uh3vs1yRfoCGYauwvfkzM" target="_blank" rel="noopener noreferrer nofollow"><span>Link to the original</span></a></p></a></td></tr></table></td></tr></tbody></table></td><td width="50%" style="vertical-align:top;" class="mob-stack"><table role="none" width="100%" border="0" cellspacing="0" cellpadding="0"><tbody><tr><td class="dd" align="left" style="padding:0px 15px;text-align:left;word-break:break-word;"><p style="mso-line-height-alt:150.0%;"> “Folds in chair cushions and chaotic background.” </p></td></tr><tr><td class="dd" align="left" style="padding:0px 15px;text-align:left;word-break:break-word;"><p style="mso-line-height-alt:150.0%;"><br>“The edges in [this image] look more like you get in a real photo.” </p></td></tr><tr><td class="dd" align="left" style="padding:0px 15px;text-align:left;word-break:break-word;"><p style="mso-line-height-alt:150.0%;"><br>“Colours, pleats in seats of chairs, not a perfect arrangement (chairs not directly facing the table) — These are things that I would expect AI to do different.” </p></td></tr><tr><td class="dd" align="left" style="padding:0px 15px;text-align:left;word-break:break-word;"><p style="mso-line-height-alt:150.0%;"></p></td></tr></tbody></table></td></tr></table></td></tr><tr><td width="100%"><table role="none" width="100%" class="mob-w-full" border="0" cellspacing="0" cellpadding="0"><tr><td width="50%" style="vertical-align:top;" class="mob-stack"><table role="none" width="100%" border="0" cellspacing="0" cellpadding="0"><tbody><tr><td align="center" valign="top" style="padding-bottom:8px;padding-left:15px;padding-right:15px;padding-top:8px; " class="dd"><table role="none" border="0" cellspacing="0" cellpadding="0" class="bb" style="margin:0 auto 0 auto;"><tr><td align="center" valign="top" class="bb" style="width:294px;"><a href="https://elink983.thedeepview.co/ss/c/u001.8tm-lavloxZbk7LH_fkTGH2M10dfrhzpV-xamfuX9OknfcvPU79bEpOXm75kcMyXmc527JWhCtgCDRyJINe61jgN79b10ISSZkbfPyuRVnWBhEp2wPhkU6aHgiEj89JpLZf1InYh4irZ1SvlFyVaQwv1zKKLh4_uH9NiACnadjIvQltTVC0JPwcLnIZo7lC2SRXXxibP7mqD-etx3HQvJgFAgUlpF-hyQZxd-dnaWuYW4vIH69bjk3_xQhPPDcItRch8ny72xJ8itXL69mWrukdm_sbygn8vzmCGBsn9wso/4v1/kJiGRwyWSRmAZXhdCV_-rw/h66/h001.S9wdE0KXjzygHb0PMYND-qG0xeMKScqWVdPTw1Mw1wg" rel="noopener noreferrer nofollow" style="text-decoration:none;" target="_blank"><img src="https://media.beehiiv.com/cdn-cgi/image/fit=scale-down,format=auto,onerror=redirect,quality=80,width=1920,height=3840/uploads/asset/file/1f30f13f-efdc-4b6f-a9c7-c476f98a5ff4/Fake.png?t=1792446583" alt="" height="auto" width="294" style="display:block;width:100%;" border="0"/></a></td></tr><tr><td align="center" valign="top" class="t bb" style="width:294px; padding: 4px 0px 4px 0px;"><a href="https://elink983.thedeepview.co/ss/c/u001.8tm-lavloxZbk7LH_fkTGH2M10dfrhzpV-xamfuX9OknfcvPU79bEpOXm75kcMyXmc527JWhCtgCDRyJINe61jgN79b10ISSZkbfPyuRVnWBhEp2wPhkU6aHgiEj89JpLZf1InYh4irZ1SvlFyVaQwv1zKKLh4_uH9NiACnadjIvQltTVC0JPwcLnIZo7lC2SRXXxibP7mqD-etx3HQvJo_6xhoJ9j854c4YuTpRK9W9bXR_OXTbcB2PWNhMgq5rsIxuMCEl8DpZjDQ8HL2JKa2RFpGDGkhOCPEAtpvAz0c/4v1/kJiGRwyWSRmAZXhdCV_-rw/h67/h001.qpydoawYi0S4rPW1EsD4sBgZYt93hP8_zvVqQ96BHAQ" target="_blank" rel="noopener noreferrer nofollow" style="text-decoration:underline;text-decoration-color:#000000;"><p><a class="link" href="https://elink983.thedeepview.co/ss/c/u001.8tm-lavloxZbk7LH_fkTGH2M10dfrhzpV-xamfuX9OknfcvPU79bEpOXm75kcMyXmc527JWhCtgCDRyJINe61jgN79b10ISSZkbfPyuRVnWBhEp2wPhkU6aHgiEj89JpLZf1InYh4irZ1SvlFyVaQwv1zKKLh4_uH9NiACnadjIvQltTVC0JPwcLnIZo7lC2SRXXxibP7mqD-etx3HQvJoNw8F28vgvtH25waqWl36x2FxYQBmOVbvmpVXAzGLRYbUSBAcbn0jo5HdQtBPpry6MW-xZ5mCFhIj90K77HTcE/4v1/kJiGRwyWSRmAZXhdCV_-rw/h68/h001.pLFr0SI7wTtOgibCTliYCNjA1msEVuXcS54l3OgqxNo" target="_blank" rel="noopener noreferrer nofollow"><span>Link to the AI image</span></a></p></a></td></tr></table></td></tr></tbody></table></td><td width="50%" style="vertical-align:top;" class="mob-stack"><table role="none" width="100%" border="0" cellspacing="0" cellpadding="0"><tbody><tr><td class="dd" align="left" style="padding:0px 15px;text-align:left;word-break:break-word;"><p style="mso-line-height-alt:150.0%;"> “[This image] was trying too hard.” </p></td></tr><tr><td class="dd" align="left" style="padding:0px 15px;text-align:left;word-break:break-word;"><p style="mso-line-height-alt:150.0%;"><br>“The "artsy" metal railing amongst the leaves is still an area AI tends to struggle in.” </p></td></tr><tr><td class="dd" align="left" style="padding:0px 15px;text-align:left;word-break:break-word;"><p style="mso-line-height-alt:150.0%;"><br>“The chair leg shadows give away. [This image] has not got it right.” </p></td></tr><tr><td class="dd" align="left" style="padding:0px 15px;text-align:left;word-break:break-word;"><p style="mso-line-height-alt:150.0%;"><br>“[This image’s] exposure and oversaturation do not look natural.” </p></td></tr></tbody></table></td></tr></table></td></tr><tr><td align="center" valign="top" style="padding-bottom:8px;padding-left:15px;padding-right:15px;padding-top:8px; " class="dd"><table role="none" border="0" cellspacing="0" cellpadding="0" class="bb" style="margin:0 auto 0 auto;"><tr><td align="center" valign="top" class="bb" style="width:604px;"><img src="https://media.beehiiv.com/cdn-cgi/image/fit=scale-down,format=auto,onerror=redirect,quality=80,width=1920,height=3840/uploads/asset/file/f6b2537a-c207-453e-8567-5898374096f2/Frame_1410104596.png?t=1765345268" alt="" height="auto" width="604" style="display:block;width:100%;" border="0"/></td></tr></table></td></tr><tr><td align="center" valign="top" 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**Welcome back.** China's MiniMax is pushing open models closer to frontier performance at a fraction of the cost, raising the stakes for US labs. Meanwhile, Anthropic is making a massive commitment to philanthropy, but there's a strategic reason AI companies need public goodwill as they race to build infrastructure and expand their influence. And Inception's Mercury 3 is the most intriguing development of all. Its diffusion architecture challenges the industry's prevailing approach to scaling AI, delivering dramatically faster responses while using expensive GPUs a lot more efficiently. _—_[_Jason Hiner_](https://www.thedeepview.com/author/jason-hiner)
**IN TODAY’S NEWSLETTER**
## 1. Why Inception's Mercury 3 upends AI economics
## 2. AI's philanthropy push is also about power
## 3. China's open models threaten US AI's pricing power
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PRODUCTS
# Mercury 3 makes the case for a new kind of AI
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While the AI industry has bet heavily on LLMs and the massive data centers needed to scale them, one of the neolabs betting on a contrarian AI just released another new model that challenges the incumbent thesis.
On Monday, Inception announced Mercury 3, its latest flagship model that's a diffusion LLM that uses different technology than traditional LLMs, generates text much faster at a lower cost, and is now matching low- and mid-tier models from Anthropic and OpenAI on performance and quality. Inception also reported that it implemented swarms of Mercury 3 agents for recursive self improvement where they increased the overall speed of the model by 16% on top of the upgrades made by the Inception team itself.
"Mercury 3 is the most capable diffusion-based language model on the market," Inception CEO Stefano Ermon told The Deep View. "It's very intelligent. It's comparable to the Luna and Haiku models, but it's way faster. It's getting 1,000 tokens per second. It's almost instant in the way you get answers from these models."
Mercury 3 costs $0.10 per million input tokens and $0.35 per million output tokens. Compared to the leading models from Anthropic's Haiku 5.5 and OpenAI's GPT-6 Luna, that's the same price for input tokens and a 35% discount on output tokens. However, that's based on the launch price for Mercury 3, which is 50% off the eventual standard price. Inception hasn't said how long the launch promotion period will last. But Ermon told The Deep View that the company is working on developments that could allow it to make the launch price permanent in the weeks ahead.
However, thinking of Mercury 3 as a low-cost model isn't the right framing. Anthropic and OpenAI offer cut-rate prices on their budget models so that they can offer a low-cost option while charging steep premiums for their best models. Mercury 3 is Inception's flagship model and its number one benefit is speed more than cost. Inception claims that Mercury 3 performs 4x to 8x faster than Haiku 5.5, GPT-6 Luna, and GLM-5.3 Flash while performing better than all of them on agentic benchmarks.
The way Mercury 3 pulls this off is by parallelizing inference. Conventional LLMs generate text one token at a time in sequence. That's an autoregressive process, meaning that each token is based on the ones before it. Meanwhile, Mercury 3 can generate and refine multiple tokens at the same time. This takes advantage of the enormous parallel processing capabilities of GPUs in a much faster and more efficient way. That's what allows Inception's models to produce responses faster and at a lower cost. Diffusion models are used by many of the leading labs for image and video generation. It's the application of the technology to text that's the breakthrough here.
Mercury 3 is now using 40x as many parameters as Mercury 1 (released in February 2025), but the Inception team isn't saying how many total parameters are in the model. That likely means it's a smaller number and Inception doesn't want people to compare apples to oranges and underestimate the model. Still, Mercury 3 shows that diffusion LLMs are advancing rapidly and could match traditional frontier LLMs in the next year. That's likely why Google DeepMind is quietly working on the same technology as well, releasing [DiffusionGemma](https://blog.google/innovation-and-ai/technology/developers-tools/diffusion-gemma-faster-text-generation/) in June. By the way, it uses 26 billion parameters (miniscule compared to the 1 trillion parameter frontier models) but also delivers similar breakthroughs in speed to Inception's Mercury models.
View image: (https://media.beehiiv.com/cdn-cgi/image/fit=scale-down,format=auto,onerror=redirect,quality=80/uploads/asset/file/9e7d31c7-673b-475f-9c87-cf6c1be7b363/Frame_1410104594.png?t=1765345175)
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Mercury 3 calls into question the current approach of most of the leading AI labs, which have bet their architecture on building bigger LLMs and then count on faster hardware (and more of it) from Nvidia and other chipmakers to deliver improvements over time. If Inception is right about diffusion LLMs, then it would have big implications. The dilemma facing the AI industry is that improving model intelligence requires additional compute, and lots of it. Upgrading reasoning and increasing the number of agentic steps can typically increase costs and response time. So Inception's breakthrough on diffusion LLMs is all about faster AI response times and more efficient use of expensive GPU hardware, for now. The question remains whether it will be a niche use-case for more real-time AI applications or a bigger long-term challenger to the cutting edge frontier models.
View image: (https://media.beehiiv.com/cdn-cgi/image/fit=scale-down,format=auto,onerror=redirect,quality=80/uploads/asset/file/1d1901ab-36d2-4a8f-b31d-a1ccecbe490a/Jason.png?t=1766448566) [Jason Hiner, Editor-in-Chief]
Follow image link: (https://www.thedeepview.com/author/jason-hiner)
Caption:
--------------------
TOGETHER WITH HYPHENATE
# Your pricing evolved. Your revenue recognition needs to keep up.
View image: (https://media.beehiiv.com/cdn-cgi/image/fit=scale-down,format=auto,onerror=redirect,quality=80/uploads/asset/file/a7355145-e193-4640-a720-9a9384d0ead9/10_20_Placement.png?t=1792183133)
Follow image link: (https://hyphenate.ai/guide/usage-based-rev-rec?utm_source=deepview&utm_medium=newsletter&utm_campaign=usage-rev-rec&utm_content=bookcover)
Caption:
Per-API charges. Prepaid credits. Fees tied to successful outcomes.
Usage-based pricing creates revenue recognition questions that can slow your close, and leave your team searching for answers.
Hyphenate’s [Usage-Based Revenue Recognition Playbook](https://hyphenate.ai/guide/usage-based-rev-rec?utm_source=deepview&utm_medium=newsletter&utm_campaign=usage-rev-rec&utm_content=bookcover) tackles six judgment calls, from gross-versus-net reporting to unbilled usage and credit breakage. Each comes with a realistic scenario, a decision tree, journal entries, and an operational fix. Written by a CPA and reviewed by Big Four partners, the guide cites specific codification subparagraphs and cross-checks positions against two Big Four handbooks.
[Get the playbook.](https://hyphenate.ai/guide/usage-based-rev-rec?utm_source=deepview&utm_medium=newsletter&utm_campaign=usage-rev-rec&utm_content=bookcover)
--------------------
AI TRAINING
# Delegate a task to an agent, get back a pull request
View image: (https://media.beehiiv.com/cdn-cgi/image/fit=scale-down,format=auto,onerror=redirect,quality=80/uploads/asset/file/bed83038-c99c-4f9d-a1b0-23a8906ddb3d/coder_info_bar.png?t=1792059444)
Follow image link: (https://github.com/coder/coder?utm_campaign=26Q4MS_The_Deep_View_Tutorial_OCT_20&utm_source=deepview&utm_medium=media-sponsorship&utm_content=page)
Caption:
View image: (https://media.beehiiv.com/cdn-cgi/image/fit=scale-down,format=auto,onerror=redirect,quality=80/uploads/asset/file/e30674ee-88f1-4a5e-98c9-6b65cd99d73d/The_Deep_View_Coder_Agents__1_.png?t=1792188730)
Follow image link: (https://coder.com/solutions/agents?utm_campaign=26Q4MS_The_Deep_View_Tutorial_OCT_20&utm_source=deepview&utm_medium=media-sponsorship&utm_content=page)
Caption:
Most AI coding agents run on a laptop with the developer’s credentials and no record of what they touched. [Coder Agents](https://coder.com/solutions/agents?utm_campaign=26Q4MS_The_Deep_View_Tutorial_OCT_20&utm_source=deepview&utm_medium=media-sponsorship&utm_content=page) moves the loop into the Coder control plane. You describe a task, the agent provisions a workspace from a template you already use, does the work, and opens a pull request. No keys or agent software in the workspace, and every action tied to your identity.
## How to do it:
1. **Open a chat.** Sign in to your Coder deployment and open Agents. No deployment? Try this on a live environment at [coder.com/learn](https://coder.com/learn?utm_campaign=26Q4MS_The_Deep_View_Tutorial_OCT_20&utm_source=deepview&utm_medium=media-sponsorship&utm_content=page), or self-host with the [install docs](https://coder.com/docs/install?utm_campaign=26Q4MS_The_Deep_View_Tutorial_OCT_20&utm_source=deepview&utm_medium=media-sponsorship&utm_content=page).
2. **Describe the task and choose Plan first.** Write it like a handoff to a teammate, name the repo, and pick Plan first in the chat input menu. The agent chooses a template, provisions a workspace under your identity, and proposes a plan before editing anything.
3. **Approve the plan, then keep talking.** Reply to adjust the plan, then click Implement when it looks right. The agent starts editing, testing, and committing. Follow-ups queue while it works, so add context any time.
4. **Review the pull request.** Open it in VS Code, JetBrains, or Cursor, or connect your IDE to the workspace the agent used. Every action is logged against your identity.
Nothing about the task changed, only where it ran. The loop stayed in your [Coder](https://coder.com/?utm_campaign=26Q4MS_The_Deep_View_Tutorial_OCT_20&utm_source=deepview&utm_medium=media-sponsorship&utm_content=page) deployment, the workspace came from a template your platform team already governs, and the audit trail starts at the prompt instead of ending on a laptop.
--------------------
CULTURE
# AI's philanthropy push is also about power
View image: (https://media.beehiiv.com/cdn-cgi/image/fit=scale-down,format=auto,onerror=redirect,quality=80/uploads/asset/file/3b94919e-41f4-455e-9784-521182299597/54adb2c4586260825db995f9c7ad0a7b5ce52b71-1456x816_copy.png?t=1792446297)
Follow image link: (https://www.thedeepview.com/articles/ai-s-public-good-push-is-about-more-than-giving)
Caption:
Public sentiment toward the AI industry [is broadly negative](https://www.thedeepview.com/articles/anti-ai-extremism-is-taking-a-darker-turn). Now, the companies are leaning into public-good initiatives to try and change the narrative.
On Sunday, Anthropic [announced](https://www.anthropic.com/news/public-benefit-fund) the Anthropic Public Benefit Fund, a new nonprofit arm that, subject to stockholder approval, will receive 5% of Anthropic's shares, with an additional 2% added at the board's discretion for every 50% increase in the company's value above the a set baseline, according to the blog post. Anthropic says the Fund is intentionally structured in a way that, the larger it gets, the more it can contribute to society.
While the company already operates as a public benefit corporation, or a company built to balance profit with public good, Anthropic says this new arm will have increased flexibility and scale to take actions such as making large donations to traditional nonprofits.
The fund will also work in tandem with the public good initiatives it already has in place, including:
* Committing $200 million to the [Anthropic Economic Futures Research Fund](https://www.anthropic.com/news/economic-futures-research-fund-agenda) that focuses on research of the economic impacts of AI;
* The companies' co-founders' pledge to donate 80% of their equity holdings;
* And the equity donation match program that allows employees to pledge equity which Anthropic matches. Half of its employees participate in it currently.
Meanwhile, Elon Musk, CEO and founder of SpaceX (and its AI arm known as SpaceXSI) [announced on X](https://x.com/elonmusk/status/2112089556615123114?s=20) that next year, he plans to give one of his SpaceX shares to "every kid in America." He also claimed that it would be the first of many, offering no additional details.
As CNBC [reported](https://www.cnbc.com/2026/10/19/elon-musk-spacex-shares-giveaway-kids.html), Musk currently owns about 4.8 billion SpaceX shares, and there were 72 million children under 18 in the US as of July 1, 2025, according to census data. Musk would be, therefore, giving away about $10.5 billion worth of shares, using SpaceX's closing stock price on Friday. As this announcement is limited to an X post, and Musk [has a track-record for not following through](https://truthout.org/articles/musk-pledged-6b-to-solve-world-hunger-but-gave-it-to-his-own-foundation-instead/) on philanthropic promises, there is no guarantee that it will actually come to fruition. Yet, even if it does, it would still be lapped by Anthropic's contributions, which will likely come out to the $75 billion to $100 billion range, according to [Reuters](https://www.reuters.com/business/anthropic-commit-5-stake-new-public-benefit-fund-2026-10-18/).
View image: (https://media.beehiiv.com/cdn-cgi/image/fit=scale-down,format=auto,onerror=redirect,quality=80/uploads/asset/file/9e7d31c7-673b-475f-9c87-cf6c1be7b363/Frame_1410104594.png?t=1765345175)
Caption:
There is no denying that, at face value, these are generous donations whose outcomes would be beneficial, and certainly better than no contribution at all. It is also worth noting, however, what these companies stand to gain from taking actions of this sort. Prioritizing public perception is becoming increasingly necessary for them to carry out the plans they need to maximize profits. The data center buildout, for instance, depends in large part on local and federal policymakers, whose decisions are influenced by how they are perceived by the public. Without sustained goodwill, that support may not materialize. Securing favor with those in a position to influence those decisions matters just as much. Anthropic is in an especially vulnerable position: the company could go public as early as November, in what would potentially be the largest IPO of a public benefit corporation ever, and markets are moved by investor perception.
View image: (https://media.beehiiv.com/cdn-cgi/image/fit=scale-down,format=auto,onerror=redirect,quality=80/uploads/asset/file/e7e0e37f-8f6f-43d4-9af9-1a1e0c886e42/sabrina-ortiz-byline.png?t=1768575206)
Follow image link: (https://www.thedeepview.com/author/sabrina-ortiz)
Caption:
--------------------
TOGETHER WITH BOX
# Reimagine enterprise AI at BoxWorks — Nov. 5-6
View image: (https://media.beehiiv.com/cdn-cgi/image/fit=scale-down,format=auto,onerror=redirect,quality=80/uploads/asset/file/cbb5e336-7274-4371-8e57-e09e07af5c8b/1920x1080BW26Execspeakers.jpeg?t=1792183338)
Follow image link: (https://boxworks.box.com/series/boxworks-2026/landing_page?coupon_code=DeepView50)
Caption:
Unlocking enterprise AI begins by connecting agents to where your business knowledge lives: your content. Box securely connects unstructured data to the tools your teams use daily — automating workflows, removing bottlenecks, and turning content into repeatable business outcomes.
**Join ****[BoxWorks](https://boxworks.box.com/series/boxworks-2026/landing_page?coupon_code=DeepView50)**** Nov. 5-6 in San Francisco to:**
* Hear from AI visionaries like Box's Aaron Levie, Nvidia's Jensen Huang, and Intel's Lip-Bu Tan
* Hone your skills around AI innovation and agents
* Get a first look at the latest in Content + AI
**[Save your spot with code DeepView50 for 50% off your registration](https://boxworks.box.com/series/boxworks-2026/landing_page?coupon_code=DeepView50)**
--------------------
PRODUCTS
# China's open models threaten US AI's pricing power
View image: (https://media.beehiiv.com/cdn-cgi/image/fit=scale-down,format=auto,onerror=redirect,quality=80/uploads/asset/file/4154f187-19b6-4647-b7e8-2ff3e1f2d0a1/thedeepview_A_cinematic_editorial_illustration_about_the_acce_f397a822-c8b9-4454-861c-01e1a5753878_2.png?t=1792446335)
Follow image link: (https://www.thedeepview.com/articles/minimax-points-to-open-ai-s-next-phase)
Caption:
As China continues to dominate the open AI ecosystem, competition between the country's labs is growing more heated.
On Monday, Chinese AI lab MiniMax launched an [updated version of M3.1 Flash](https://www.minimax.io/blog/minimax-m31f), its latest model which it claims delivers a "generational leap" in agentic tasks, coding, computer use and cybersecurity tasks. The multimodal model, codenamed "space bunny," also features a one million token context window, speeds up online inference threefold and is 70% cheaper than its previous iteration.
In its announcement, the company said that M3.1 Flash "represents our ongoing exploration of the balance between efficiency and capability."
The company claims that M3.1 Flash sweeps the board in a number of benchmarks, including for software engineering, reasoning, long-running tasks, coding and more, outperforming both Chinese competitors like DeepSeek, Moonshot's Kimi, and [Z.ai](http://z.ai)'s GLM. Minimax also claims its models outperform OpenAI's GPT-5.6 Sol and Anthropic's Opus 5 in the same metrics.
Tweet: (https://twitter.com/MiniMax_AI/status/2112150867868541221)
Additionally, the company claims its model is one of the most cost-effective on the market, running at 15 cents per million input tokens, 60 cents per million output tokens and less than 2 cents per million cached input tokens. For reference, that's a fraction of the price that model providers like [OpenAI](https://www.thedeepview.com/articles/openai-s-cheaper-gpt-6-models-change-the-math), [Anthropic](https://www.thedeepview.com/articles/claude-sonnet-5-5-puts-ai-efficiency-in-focus-again) and [Google](https://www.thedeepview.com/articles/gemini-4-puts-google-back-in-the-frontier-ai-race) are selling even their most affordable models for.
However, Minimax isn't the only Chinese lab gaining recognition in recent days. Last week, [DeepSeek released V4.1-Flash-1017](https://api-docs.deepseek.com/news/news261017/), its latest model that similarly sports faster task completion, strong performance across benchmarks and improved costs. The model is a refresh of a DeepSeek model that was initially launched in September. Over the weekend, DeepSeek's model snagged the top score on [Code Arena's WebDev leaderboard](https://x.com/arena/status/2111894091168682086) for open models, and 12th place for overall models. Additionally, [leaderboards from Artificial Analysis](https://x.com/ArtificialAnlys/status/2112211865128608002?s=20) show DeepSeek's model outperforming MiniMax M3.1-Flash in some benchmarks.
View image: (https://media.beehiiv.com/cdn-cgi/image/fit=scale-down,format=auto,onerror=redirect,quality=80/uploads/asset/file/9e7d31c7-673b-475f-9c87-cf6c1be7b363/Frame_1410104594.png?t=1765345175)
Caption:
Open models could completely shift the economics of AI, offering an attractive price point to developers and enterprises that are quickly growing fatigued of the price tags that frontier labs are charging for their proprietary APIs. Updates like these prove that open models are quickly closing the performance gap with their proprietary, closed-source counterparts. While some of this development is happening in the US, such as [Nvidia's Nemotron models](https://developer.nvidia.com/blog/nvidia-nemotron-3-5-super-vl-powers-specialized-agents-with-multimodal-reasoning/?ncid=so-twit-170075), [Reflection's Beam](https://reflection.ai/blog/introducing-beam), and Meta's recent release of [Muse Spark Open](https://www.thedeepview.com/articles/meta-makes-its-open-models-comeback), the vast majority of open source AI innovation is concentrated in Chinese firms. And the models that these labs put out come with a few caveats, including [thinner safety and security](https://www.thedeepview.com/articles/china-s-open-models-come-with-a-safety-tradeoff) measures and accusations of [model distillation](https://www.thedeepview.com/articles/openai-google-sound-alarm-on-model-cloning).
View image: (https://media.beehiiv.com/cdn-cgi/image/fit=scale-down,format=auto,onerror=redirect,quality=80/uploads/asset/file/48fe9d73-e19a-4746-98cc-8d49eb41c139/nat-rubio-licht-byline.png?t=1766448867) [Nat Rubio-Licht]
Follow image link: (https://www.thedeepview.com/author/nat-rubio-licht)
Caption:
--------------------
LINKS
View image: (https://media.beehiiv.com/cdn-cgi/image/fit=scale-down,format=auto,onerror=redirect,quality=80/uploads/asset/file/1c8854ee-478f-4500-a7a9-d5280dd7fe8e/In_Other_News.png?t=1768575169)
Caption:
* AI agents attempted [1,200 break-ins, compromised over 100](https://www.wired.com/story/disney-asked-characterai-to-go-bankrupt-for-a-get-out-of-lawsuits-card/) sites
* Google Deepmind agents beat [Minecraft autonomously on Gemini 4 Argon](https://the-decoder.com/four-gemini-4-argon-agents-beat-minecraft-without-any-human-help/)
* Tenstorrent, an AI chip designer, [raises $1.5 billion, $6.2 billion valuation](https://www.bloomberg.com/news/articles/2026-10-19/ai-chip-startup-tenstorrent-raises-funds-at-6-2-billion-value)
* Compute startup DoubleAI [launches AI category to cut computing costs](https://www.wsj.com/cio-journal/nvidia-backed-startup-doubleai-launches-model-to-pare-cost-of-compute-b780f215?st=Xj19EK&reflink=desktopwebshare_permalink)
* Disney seeks [Character.AI assets via bankruptcy](https://www.wired.com/story/disney-asked-characterai-to-go-bankrupt-for-a-get-out-of-lawsuits-card/) amid child safety lawsuits
* Microsoft [treats AI agents as insider threats](https://x.com/satyanadella/status/2112168320946634932?s=20) with new tools
View image: (https://media.beehiiv.com/cdn-cgi/image/fit=scale-down,format=auto,onerror=redirect,quality=80/uploads/asset/file/59d274bf-9e99-4acf-a6c7-ff9cdbb0233e/image.png?t=1752986916)
Caption:
* [Reason](https://x.com/reasonmachines/status/2112175579181338943): A simple, state-of-the-art coding agent.
* [Exa 3.0](https://x.com/ExaAILabs/status/2112218730952601719): The company's latest model with its "largest ever improvement to search quality."
* [ChatGPT Slides](https://x.com/ChatGPT/status/2112265233192657153): Users can now work together in real time and make edits right on slides.
* [Ming-3.0](https://x.com/AntLingAGI/status/2112210811997540475): Ant Group open sourced five models across three speech families.
View image: (https://media.beehiiv.com/cdn-cgi/image/fit=scale-down,format=auto,onerror=redirect,quality=80/uploads/asset/file/25296119-9f00-4620-9931-2d98d0068485/image.png?t=1752986966)
Caption:
* [Fonzi AI](https://www.linkedin.com/jobs/view/4480234771/): ML Engineer
* [Kaizen Equity Partners](https://www.linkedin.com/jobs/view/4473399610/): AI Operations Associate
* [Moring AI](https://www.linkedin.com/jobs/view/4479672984/): Solutions Architect
* [SB Telecom America Corp](https://www.linkedin.com/jobs/view/4418176243/): AI/ML Engineer, AI Infrastructure
--------------------
GAMES
View image: (https://media.beehiiv.com/cdn-cgi/image/fit=scale-down,format=auto,onerror=redirect,quality=80/uploads/asset/file/d120b54c-d56c-4fbc-bdbf-41e83cbbc770/image.png?t=1752987116)
Caption:
View image: (https://media.beehiiv.com/cdn-cgi/image/fit=scale-down,format=auto,onerror=redirect,quality=80/uploads/asset/file/4383faf3-de7e-48ad-a601-0ffa3cc92cdc/AI_or_Not_-_TDV_-_2026.10.13__2_.png?t=1792447198)
Caption:
--------------------
A QUICK POLL BEFORE YOU GO
----------The Deep View is written by Nat Rubio-Licht, Sabrina Ortiz, Jason Hiner, Faris Kojok and The Deep View crew. Please reply with any feedback.
View image: (https://media.beehiiv.com/cdn-cgi/image/fit=scale-down,format=auto,onerror=redirect,quality=80/uploads/asset/file/ddb65d9a-93a7-45fc-a6df-33b96db903fd/Multi_%2B_sabrina.jpg?t=1784369432)
Caption:
Thanks for reading today’s edition of The Deep View! We’ll see you in the next one.
View image: (https://media.beehiiv.com/cdn-cgi/image/fit=scale-down,format=auto,onerror=redirect,quality=80/uploads/asset/file/f13ecf40-963d-4c4e-8059-8f41083085a8/Frame_1410104595.png?t=1765345242)
Caption:
View image: (https://media.beehiiv.com/cdn-cgi/image/fit=scale-down,format=auto,onerror=redirect,quality=80/uploads/asset/file/bf5727e5-1d1e-4fdd-a143-e8abe603af2a/Real.png?t=1792446552)
Follow image link: (https://unsplash.com/photos/two-chairs-and-a-table-by-a-large-window-HLsDuaMXrMc)
Caption: [Link to the original](https://unsplash.com/photos/two-chairs-and-a-table-by-a-large-window-HLsDuaMXrMc)
“Folds in chair cushions and chaotic background.”
“The edges in [this image] look more like you get in a real photo.”
“Colours, pleats in seats of chairs, not a perfect arrangement (chairs not directly facing the table) — These are things that I would expect AI to do different.”
View image: (https://media.beehiiv.com/cdn-cgi/image/fit=scale-down,format=auto,onerror=redirect,quality=80/uploads/asset/file/1f30f13f-efdc-4b6f-a9c7-c476f98a5ff4/Fake.png?t=1792446583)
Follow image link: (https://chatgpt.com/s/m_6ad28f0dd3e08191bbc3c0bcb27311b8)
Caption: [Link to the AI image](https://chatgpt.com/s/m_6ad28f0dd3e08191bbc3c0bcb27311b8)
“[This image] was trying too hard.”
“The "artsy" metal railing amongst the leaves is still an area AI tends to struggle in.”
“The chair leg shadows give away. [This image] has not got it right.”
“[This image’s] exposure and oversaturation do not look natural.”
View image: (https://media.beehiiv.com/cdn-cgi/image/fit=scale-down,format=auto,onerror=redirect,quality=80/uploads/asset/file/f6b2537a-c207-453e-8567-5898374096f2/Frame_1410104596.png?t=1765345268)
Caption:
View image: (https://media.beehiiv.com/cdn-cgi/image/fit=scale-down,format=auto,onerror=redirect,quality=80/uploads/asset/file/e9fc4821-1b3f-460d-b894-f6799a48efd9/nl-promo.png?t=1777003751)
Follow image link: (https://tdv.transistor.fm/)
Caption:
View image: (https://media.beehiiv.com/cdn-cgi/image/fit=scale-down,format=auto,onerror=redirect,quality=80/uploads/asset/file/a09d75bf-0585-4881-8e41-db84e8df85d0/Frame_1410104597.png?t=1765345268)
Caption:
If you want to get in front of an audience of 750,000+ developers, business leaders and tech enthusiasts, get in touch with us [here](https://www.thedeepview.com/sponsor).
GET IN TOUCH WITH US HERE (https://www.thedeepview.com/sponsor)
———
You are reading a plain text version of this post. For the best experience, copy and paste this link in your browser to view the post online:
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Warning
Almost all the messages that arrive here are garbage! Resist the urge to click on any unexpected or questionable links.
It may happen that e-mail will claim to come from liamon.com, perhaps from some administrative role or process. There are no users with liamon.com addresses that should be sending anyone e-mail. There are no accounts to expire. There are no passwords to leak. These are certainly garbage messages. These are certainly phishing attempts in some messages.
Absolutely ignore those links!
