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AI executives respond to Trump's new safety plan: six companies sign self-regulation pledge
After meeting with tech leaders on Tuesday, Trump responded to reporters' questions, saying that his earlier remarks calling AI safety concerns a Democratic Party hoax no longer apply, because the technology has been renamed Super Intelligence. He is no longer pushing for federal AI regulation; instead, he had six tech leaders—Sundar Pichai of Google, Dario Amodei of Anthropic, Mark Zuckerberg of Meta, Greg Brockman of OpenAI, Elon Musk of xAI, and Jensen Huang of Nvidia—sign the Joint Commitment on Frontier Responsibilities, a morally binding safety pledge that requires each company to self-regulate AI technology under common-sense guidelines, and it appears to carry no consequences for breach. All six signatories, at Trump's request, offered comments praising the self-regulation plan as helpful for advancing AI technology, creating jobs, and easing the public's negative views on AI safety.
amed Super Intelligence. He is no longer pushing for federal AI regulation; instead, he had six tech leaders—Sundar Pichai of Google, Dario Amodei of Anthropic, Mark Zuckerberg of Meta, Greg Brockman of OpenAI, Elon Musk of xAI, and Jensen Huang of Nvidia—sign the Joint Commitment on Frontier Responsibilities, a morally binding safety pledge that requires each company to self-regulate AI technology under common-sense guidelines, and it appears to carry no consequences for breach. All six signato
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NVIDIA and Meta Announce Expanded Collaboration on Muse Models
On October 27, 2026, NVIDIA and Meta announced an expansion of their collaboration on Muse and the Muse series of models to improve inference and training performance, with Meta's Muse models and agents running on NVIDIA infrastructure. According to an announcement published by the NVIDIA Newsroom that day, Meta plans to expand deployment of NVIDIA Vera Rubin and Vera CPU and to adopt Spectrum-X Ethernet and BlueField-4; the two sides will also evaluate the NVIDIA OpenShell reference architecture and NVIDIA Sentry for secure agent deployment and behavior monitoring. The same announcement stated that NVIDIA will invest $3 billion in Meta's equity offering. 36Kr AI reported on October 28 that this investment is part of Meta's total $95 billion fundraising plan, with AMD and Broadcom also expressing interest in investing; Meta expects full-year capital expenditure to reach $135 billion to $145 billion. The collaboration and investment plans have now been announced, while subsequent deployment progress remains to be disclosed.
On October 27, 2026, NVIDIA and Meta announced an expansion of their collaboration on Muse and the Muse series of models to improve inference and training performance, with Meta's Muse models and agents running on NVIDIA infrastructure. According to an announcement published by the NVIDIA Newsroom that day, Meta plans to expand deployment of NVIDIA Vera Rubin and Vera CPU and to adopt Spectrum-X Ethernet and BlueField-4; the two sides will also evaluate the NVIDIA OpenShell reference architectur
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NVIDIA and Meta announce expanded Muse model collaboration
On October 27, 2026, NVIDIA and Meta announced an expansion of their collaboration on Muse and the Muse series of models to improve inference and training performance, with Meta's Muse models and agents running on NVIDIA infrastructure. According to an announcement published by the NVIDIA Newsroom that day, Meta plans to expand deployment of NVIDIA Vera Rubin and Vera CPU and to adopt Spectrum-X Ethernet and BlueField-4; the two sides will also evaluate the NVIDIA OpenShell reference architecture and NVIDIA Sentry for secure agent deployment and behavior monitoring. The same announcement stated that NVIDIA will invest $3 billion in Meta's equity offering. 36Kr AI reported on October 28 that this investment is part of Meta's total $95 billion fundraising plan, with AMD and Broadcom also expressing interest in investing; Meta expects full-year capital expenditure to reach $135 billion to $145 billion. The collaboration and investment plans have now been announced, while subsequent deployment progress remains to be disclosed.
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View story:NVIDIA and Meta Announce Expanded Collaboration on Muse Models
AMD announces deep strategic partnership with Meta
On October 26, 2026, Meta Platforms announced plans to raise up to $95 billion through an equity offering, to be used for AI infrastructure, computing power, and personal superintelligence. The first round of transactions totaled $35 billion, of which about two-thirds came from common stock, and $12.5 billion in Series A depositary shares were issued; subsequently, it plans to raise up to an additional $60 billion through an at-the-market offering. NVIDIA, AMD, and Broadcom expressed interest in subscribing to a combined total of up to $5 billion in the Class A offering, but this is non-binding. On October 27, AMD announced a deep strategic partnership with Meta and invested $1 billion in Meta's equity offering. On October 28, Meta's $25 billion common stock offering was about five times oversubscribed.
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View story:Meta plans to raise up to $95 billion through an equity offering
Meta Shares AI Networking Innovations at OCP Summit
At the 2026 OCP Global Summit, Meta unveiled networking innovations supporting its latest AI models and its gigawatt-scale Prometheus cluster. The first liquid-cooled network rack introduced by Meta, IcePack, debuted alongside the 102.4T switch IceCube (128×800G, available with either Broadcom Tomahawk 6C or NVIDIA Spectrum-6). For scale-out, the Flattened Planar Fabric connects each GPU to eight network planes, simplifying the Clos architecture from 3 tiers to 2; for scale-across, Meta introduced BAG, a petabit-class super backbone connecting buildings, campuses and regions. Meta also introduced Tahan, an MTIA 300 Ethernet scale-up switch based on Broadcom Tomahawk5, and open-sourced its MetaRoCE software implementation, with the first user-space version, libsoftmetaroce, now available on GitHub.
At the 2026 OCP Global Summit, Meta unveiled networking innovations supporting its latest AI models and its gigawatt-scale Prometheus cluster. The first liquid-cooled network rack introduced by Meta, IcePack, debuted alongside the 102.4T switch IceCube (128×800G, available with either Broadcom Tomahawk 6C or NVIDIA Spectrum-6). For scale-out, the Flattened Planar Fabric connects each GPU to eight network planes, simplifying the Clos architecture from 3 tiers to 2; for scale-across, Meta introduc
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Meta shares AI networking innovations at OCP Summit
At the 2026 OCP Global Summit, Meta unveiled networking innovations supporting its latest AI models and its gigawatt-scale Prometheus cluster. The first liquid-cooled network rack introduced by Meta, IcePack, debuted alongside the 102.4T switch IceCube (128×800G, available with either Broadcom Tomahawk 6C or NVIDIA Spectrum-6). For scale-out, the Flattened Planar Fabric connects each GPU to eight network planes, simplifying the Clos architecture from 3 tiers to 2; for scale-across, Meta introduced BAG, a petabit-class super backbone connecting buildings, campuses and regions. Meta also introduced Tahan, an MTIA 300 Ethernet scale-up switch based on Broadcom Tomahawk5, and open-sourced its MetaRoCE software implementation, with the first user-space version, libsoftmetaroce, now available on GitHub.
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View story:Meta Shares AI Networking Innovations at OCP Summit
Meta updates business terms to allow using user content to train AI
Meta updated its business terms this month to allow it to use content from associated domains, web pages or URLs to develop, improve, research, train and maintain Meta products, sparking discontent among artists and small business owners who rely on Instagram and Facebook. The effective date of the terms was postponed from October 30 to November 20, and Meta subsequently removed the word "train" from the list of permitted uses, limiting the purposes to "advertising and business products." Users in the UK and EU can currently submit an objection form in the Instagram Privacy Center, and some users say they have received emails from Meta confirming that their objections were approved; these options are not displayed in the United States and other places.
Meta updated its business terms this month to allow it to use content from associated domains, web pages or URLs to develop, improve, research, train and maintain Meta products, sparking discontent among artists and small business owners who rely on Instagram and Facebook. The effective date of the terms was postponed from October 30 to November 20, and Meta subsequently removed the word "train" from the list of permitted uses, limiting the purposes to "advertising and business products." Users
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Meta updates its commercial terms to allow using user content to train AI
Meta updated its business terms this month to allow it to use content from associated domains, web pages or URLs to develop, improve, research, train and maintain Meta products, sparking discontent among artists and small business owners who rely on Instagram and Facebook. The effective date of the terms was postponed from October 30 to November 20, and Meta subsequently removed the word "train" from the list of permitted uses, limiting the purposes to "advertising and business products." Users in the UK and EU can currently submit an objection form in the Instagram Privacy Center, and some users say they have received emails from Meta confirming that their objections were approved; these options are not displayed in the United States and other places.
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View story:Meta updates business terms to allow using user content to train AI
Meta plans to raise up to $95 billion through an equity offering
On October 26, 2026, Meta Platforms announced plans to raise up to $95 billion through an equity offering, to be used for AI infrastructure, computing power, and personal superintelligence. The first round of transactions totaled $35 billion, of which about two-thirds came from common stock, and $12.5 billion in Series A depositary shares were issued; subsequently, it plans to raise up to an additional $60 billion through an at-the-market offering. NVIDIA, AMD, and Broadcom expressed interest in subscribing to a combined total of up to $5 billion in the Class A offering, but this is non-binding. On October 27, AMD announced a deep strategic partnership with Meta and invested $1 billion in Meta's equity offering. On October 28, Meta's $25 billion common stock offering was about five times oversubscribed.
On October 26, 2026, Meta Platforms announced plans to raise up to $95 billion through an equity offering, to be used for AI infrastructure, computing power, and personal superintelligence. The first round of transactions totaled $35 billion, of which about two-thirds came from common stock, and $12.5 billion in Series A depositary shares were issued; subsequently, it plans to raise up to an additional $60 billion through an at-the-market offering. NVIDIA, AMD, and Broadcom expressed interest in
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Meta expects 2026 capital expenditures of $135 billion to $145 billion
In its third-quarter earnings report released on October 21, Meta forecast 2026 capital expenditures of $135 billion to $145 billion, to continue investing in AI infrastructure and new product development. The company said its AI investments have already generated incremental advertising revenue through stronger user engagement, better recommendations and more efficient monetization, and it expects these investments and new product launches to support revenue growth in 2027. The earnings report showed third-quarter revenue of $64.6 billion, up 26% year over year, including advertising revenue of $63.06 billion; total costs and expenses for the quarter were $51.61 billion, up 68% year over year, including $9.89 billion in charges related to a settlement with 52 U.S. state attorneys general over litigation concerning teen mental health and social media.
In its third-quarter earnings report released on October 21, Meta forecast 2026 capital expenditures of $135 billion to $145 billion, to continue investing in AI infrastructure and new product development. The company said its AI investments have already generated incremental advertising revenue through stronger user engagement, better recommendations and more efficient monetization, and it expects these investments and new product launches to support revenue growth in 2027. The earnings report
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Meta expects 2026 capital expenditures of $135 billion to $145 billion
In its third-quarter earnings report released on October 21, Meta forecast 2026 capital expenditures of $135 billion to $145 billion, to continue investing in AI infrastructure and new product development. The company said its AI investments have already generated incremental advertising revenue through stronger user engagement, better recommendations and more efficient monetization, and it expects these investments and new product launches to support revenue growth in 2027. The earnings report showed third-quarter revenue of $64.6 billion, up 26% year over year, including advertising revenue of $63.06 billion; total costs and expenses for the quarter were $51.61 billion, up 68% year over year, including $9.89 billion in charges related to a settlement with 52 U.S. state attorneys general over litigation concerning teen mental health and social media.
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View story:Meta expects 2026 capital expenditures of $135 billion to $145 billion