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Wednesday

  1. SiliconANGLE

    Nvidia and AMD to Subscribe to $4 Billion of Meta Shares, Expand Chip Cooperation

    Meta announced that Nvidia and AMD plan to subscribe to a combined $4 billion of shares in its stock offering of up to $95 billion, with Broadcom also participating, for a combined investment of $5 billion from the three chipmakers. Nvidia is contributing $3 billion, and Meta will expand its use of Nvidia's Rubin GPUs, Vera CPUs, Spectrum-X Ethernet products, and BlueField-4, and will leverage Nvidia to optimize the performance and cost of the Muse large model and consumer-grade AI agents. AMD is contributing $1 billion; Meta has already deployed the first batch of Helios racks based on Instinct MI450 in its data centers and is testing them, and will subsequently adopt custom AI accelerators based on the AMD Instinct architecture.

    Meta announced that Nvidia and AMD plan to subscribe to a combined $4 billion of shares in its stock offering of up to $95 billion, with Broadcom also participating, for a combined investment of $5 billion from the three chipmakers. Nvidia is contributing $3 billion, and Meta will expand its use of Nvidia's Rubin GPUs, Vera CPUs, Spectrum-X Ethernet products, and BlueField-4, and will leverage Nvidia to optimize the performance and cost of the Muse large model and consumer-grade AI agents. AMD i

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  2. Electronic Technology Application

    NVIDIA Invests $3 Billion in Meta, Expanding AI Agent Collaboration Around the Muse Model

    NVIDIA and Meta announced an expanded collaboration around Muse and the Muse family of models to improve inference and training performance, with NVIDIA investing $3 billion in Meta equity. Meta plans to expand its deployment of NVIDIA infrastructure, including the Vera Rubin platform and Vera CPU for next-generation AI agents, and to deploy Spectrum-X Ethernet networking and BlueField-4. The two sides will also explore collaboration on secure AI agent deployment and behavior monitoring on NVIDIA's OpenShell reference architecture.

    NVIDIA and Meta announced an expanded collaboration around Muse and the Muse family of models to improve inference and training performance, with NVIDIA investing $3 billion in Meta equity. Meta plans to expand its deployment of NVIDIA infrastructure, including the Vera Rubin platform and Vera CPU for next-generation AI agents, and to deploy Spectrum-X Ethernet networking and BlueField-4. The two sides will also explore collaboration on secure AI agent deployment and behavior monitoring on NVIDI

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  3. Electronic Technology Application

    AMD Plans to Invest $1 Billion in Meta and Deepen Strategic Cooperation

    AMD announced a deep strategic partnership with Meta and will invest $1 billion in Meta's equity offering. AMD Helios rack-scale solutions have completed their first installations at Meta and entered testing, AMD EPYC processors provide compute power for Meta's Muse AI agents, and AMD also provides Day-0 support for Muse Spark Open and Muse Glimmer.

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  4. Meta Engineering Blog

    PrivacyLib: Meta implements privacy controls at the data access boundary

    The Meta engineering team has introduced PrivacyLib, a general-purpose privacy library that runs within clients across hundreds of data and processing systems and performs billions of checks per second. A system only needs to integrate it once, and new privacy requirements can reuse that integration as modules, without the need to reimplement them in each system. The newly added Agent Observability module can observe data access events of internal AI agents, and systems that have already integrated it can enable it without additional modifications.

    The Meta engineering team has introduced PrivacyLib, a general-purpose privacy library that runs within clients across hundreds of data and processing systems and performs billions of checks per second. A system only needs to integrate it once, and new privacy requirements can reuse that integration as modules, without the need to reimplement them in each system. The newly added Agent Observability module can observe data access events of internal AI agents, and systems that have already integra

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Tuesday

  1. Meta Engineering Blog

    Meta Unveils Open Innovation Achievements for AI Networking at 2026 OCP Global Summit

    At the 2026 OCP Global Summit, Meta announced networking innovations supporting its latest AI models and the gigawatt-scale Prometheus cluster, including its first liquid-cooled network rack IcePack and the 102.4T switch IceCube (128×800G, available with 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, it introduced the petabit-class super backbone BAG connecting buildings, campuses, and regions. Meta also introduced Tahan, an Ethernet scale-up switch for MTIA 300 based on Broadcom Tomahawk5, and open-sourced the MetaRoCE software implementation, with the first user-space version libsoftmetaroce now available on GitHub.

    At the 2026 OCP Global Summit, Meta announced networking innovations supporting its latest AI models and the gigawatt-scale Prometheus cluster, including its first liquid-cooled network rack IcePack and the 102.4T switch IceCube (128×800G, available with 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, it introduced the petabit-class super backbo

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Monday

  1. TMTPost · AGI

    Edge AI Daily Morning Brief (October 26): Apple's touchscreen MacBook Pro, Meta's cash flow and…

    Apple will launch its first touchscreen MacBook Pro at 1 a.m. Beijing time on October 29, with 14/16-inch models debuting OLED displays and M5 Pro/M5 Max chips, and Samsung Display as the exclusive panel supplier. Meta's capital expenditure in Q3 2026 reached $34.9 billion, exceeding operating cash flow of $32.8 billion, with free cash flow turning negative for the first time to -$2.1 billion. Anthropic quietly adjusted its Claude product line without an announcement, and Claude Opus 5.5 frequently triggers safety blocks on reverse engineering tasks.

    creen MacBook Pro at 1 a.m. Beijing time on October 29, with 14/16-inch models debuting OLED displays and M5 Pro/M5 Max chips, and Samsung Display as the exclusive panel supplier. Meta's capital expenditure in Q3 2026 reached $34.9 billion, exceeding operating cash flow of $32.8 billion, with free cash flow turning negative for the first time to -$2.1 billion. Anthropic quietly adjusted its Claude product line without an announcement, and Claude Opus 5.5 frequently triggers safety blocks on reve

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Sunday

  1. Yicai

    AI Weekly: Meta's Muse surpasses 10 million downloads; CXMT and Micron diverge on technology

    Meta's AI assistant Muse has accumulated 10.9 million downloads since its September launch, of which 10.2 million came from the United States, making it one of the mobile apps to surpass 10 million U.S. downloads within 40 days of launch. DeepSeek open-sourced its inference framework DeepInfer and disclosed that a single cluster serves a throughput of 155 trillion tokens per day, with revenue of $38 per card per hour. Anthropic launched Claude Duet, a personal agent based on Claude Opus 5.5, opening research preview waitlist applications to Claude Pro and Max subscribers in the United States.

    Meta's AI assistant Muse has accumulated 10.9 million downloads since its September launch, of which 10.2 million came from the United States, making it one of the mobile apps to surpass 10 million U.S. downloads within 40 days of launch. DeepSeek open-sourced its inference framework DeepInfer and disclosed that a single cluster serves a throughput of 155 trillion tokens per day, with revenue of $38 per card per hour. Anthropic launched Claude Duet, a personal agent based on Claude Opus 5.5, ope

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  2. Wall Street CN

    When Will the AI Trade Stop Falling: The Financing Prisoner's Dilemma Behind Meta's Massive Bond Issuance

    Wall Street CN, drawing on Barclays and Goldman Sachs data, points out that after its third-quarter results, Meta plans to raise hundreds of billions of dollars starting this fall and has narrowed its 2026 capital expenditure forecast to $135 billion to $145 billion, with free cash flow turning negative after dividends. Barclays believes that multiple companies within the AI ecosystem have rushed to launch financing, tightening the capital market's absorption capacity, and that collective bond issuance has instead pushed up issuance costs. The U.S. high-yield bond risk premium has risen to a 17-month high, yields on CCC-rated junk bonds have climbed to 15.85%, and the dispersion of spreads on AI-related credit assets has risen from 24 basis points to 65 basis points over the past year.

    Wall Street CN, drawing on Barclays and Goldman Sachs data, points out that after its third-quarter results, Meta plans to raise hundreds of billions of dollars starting this fall and has narrowed its 2026 capital expenditure forecast to $135 billion to $145 billion, with free cash flow turning negative after dividends. Barclays believes that multiple companies within the AI ecosystem have rushed to launch financing, tightening the capital market's absorption capacity, and that collective bond i

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Saturday

  1. English text is being prepared.

    Meta Acquires AI Data Analytics Platform Sundial, Turning Data Analysis into a "Chat"

    Meta has acquired Sundial, an AI data analytics platform founded by two former Meta employees. Its core capability is enabling enterprises to ask complex data questions in natural language through a chatbot plugin and quickly obtain actionable analytical conclusions. Sundial co-founder Chandra Narayanan will lead Meta's data analytics tools and agent-related work. In July of this year, Meta appointed Alex Schultz as its first Chief Data Officer and established the DATA department.

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  2. Yicai

    When Meta Muse Collides with Amazon: AI Is Leaving the Chatbox to Contest the New Internet Gateway

    Meta launched its personal AI Agent Muse last month. It has an independent virtual computer and browser and can send emails, book travel, and shop on behalf of users. It reached about 2.8 million downloads within two weeks of launch, and at the October 21 earnings call it was announced that more than 10 million people had activated it. Less than two weeks after launch, Muse was blocked by Amazon from accessing its shopping site. Amazon said AI Agents should identify themselves and respect whether the service provider permits entry. The article argues that the two sides are fighting over who controls the subsequent search, comparison, decision-making, and payment after consumers form purchase intent, while Google keeps intent-to-execution within its own system through its own ecosystem such as Universal Cart.

    Meta launched its personal AI Agent Muse last month. It has an independent virtual computer and browser and can send emails, book travel, and shop on behalf of users. It reached about 2.8 million downloads within two weeks of launch, and at the October 21 earnings call it was announced that more than 10 million people had activated it. Less than two weeks after launch, Muse was blocked by Amazon from accessing its shopping site. Amazon said AI Agents should identify themselves and respect whethe

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  3. Artificial Analysis

    Artificial Analysis measured Meta Muse Spark Open inference throughput

    Artificial Analysis published preliminary test results on AA-AgentPerf for Meta's new open-weight model Muse Spark Open, an 816B-parameter, 42B-active MoE that scores 39 on the Artificial Analysis Intelligence Index. Tests show NVIDIA B300 and GB300 each reach about 150M tokens/s per megawatt under throughput-first configurations, with GB300 at about 108M and B300 at about 92M at 100 tok/s output speed; AMD MI355X reaches 70M tokens/s per megawatt at 65 tok/s. 46 of the model's 62 layers use 2,048-token sliding window attention, reducing KV cache requirements at 1M context by about 75% versus full attention; Meta released an NVFP4 checkpoint and AMD released an MXFP4 checkpoint.

    Artificial Analysis published preliminary test results on AA-AgentPerf for Meta's new open-weight model Muse Spark Open, an 816B-parameter, 42B-active MoE that scores 39 on the Artificial Analysis Intelligence Index. Tests show NVIDIA B300 and GB300 each reach about 150M tokens/s per megawatt under throughput-first configurations, with GB300 at about 108M and B300 at about 92M at 100 tok/s output speed; AMD MI355X reaches 70M tokens/s per megawatt at 65 tok/s. 46 of the model's 62 layers use 2,0

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Friday

  1. Analytics India Magazine

    Meta expects 2026 capital expenditures of up to $145 billion

    In its third-quarter financial report released on October 21, Meta estimated 2026 capital expenditures of $135 billion to $145 billion, to continue investing in AI infrastructure and new product development. The company said AI investment has already brought incremental advertising revenue through stronger user engagement, better recommendations and more efficient monetization, and expects these investments and new product launches to support revenue growth in 2027. Third-quarter revenue was $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 expenses related to a settlement with 52 U.S. state attorneys general over litigation concerning teen mental health and social media.

    In its third-quarter financial report released on October 21, Meta estimated 2026 capital expenditures of $135 billion to $145 billion, to continue investing in AI infrastructure and new product development. The company said AI investment has already brought incremental advertising revenue through stronger user engagement, better recommendations and more efficient monetization, and expects these investments and new product launches to support revenue growth in 2027. Third-quarter revenue was $64

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  2. Rohan Paul

    Meta's new paper proposes RSD: agents can learn from unlabeled historical trajectories

    Meta's new paper proposes the RSD method, which lets AI agents review each step after knowing the task outcome and learn from historical attempts that no one labeled as right or wrong. On ScienceWorld, Qwen3-14B's success rate rose from 12.9% to 20.6%; on ALFWorld, Qwen3-8B reached 76.6%, surpassing all tested methods, including those that received rewards or standard answers. The authors recommend keeping agents' unlabeled run records (including failures) and regenerating the review notes each round, because when notes were frozen at round 3 the ALFWorld success rate stayed at 59.7%, while updating notes each round gave 67.9%.

    Meta's new paper proposes the RSD method, which lets AI agents review each step after knowing the task outcome and learn from historical attempts that no one labeled as right or wrong. On ScienceWorld, Qwen3-14B's success rate rose from 12.9% to 20.6%; on ALFWorld, Qwen3-8B reached 76.6%, surpassing all tested methods, including those that received rewards or standard answers. The authors recommend keeping agents' unlabeled run records (including failures) and regenerating the review notes each

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  3. TMTPost · AGI

    Meta Q3 earnings: advertising props up 97% of revenue, Muse still burning money

    Meta Q3 revenue was $64.6 billion, up 26% year-over-year, of which advertising contributed $63.06 billion, accounting for 97.6% of total revenue. The personal agent Muse, launched on September 8, surpassed 10 million downloads within 40 days of launch, but high capital expenditure turned free cash flow negative at $2.12 billion, and the full-year Capex guidance floor was raised from $130 billion to $135 billion. Muse currently mainly relies on subscription fees, with shopping being the most frequent use case; more than 25% of users have used the shopping feature, with average spend per transaction exceeding $200.

    Meta Q3 revenue was $64.6 billion, up 26% year-over-year, of which advertising contributed $63.06 billion, accounting for 97.6% of total revenue. The personal agent Muse, launched on September 8, surpassed 10 million downloads within 40 days of launch, but high capital expenditure turned free cash flow negative at $2.12 billion, and the full-year Capex guidance floor was raised from $130 billion to $135 billion. Muse currently mainly relies on subscription fees, with shopping being the most freq

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  4. Caixin

    Meta shares plunge nearly 7%, capex growth concerns overshadow agent hype

    Meta shares closed down 6.98% at $648.85 per share on October 22, falling back to early September levels, with all gains brought by the Muse agent wiped out. A report Meta submitted to the U.S. Securities and Exchange Commission on October 22 shows that as of September 30, 2026, its total irrevocable contractual commitments were $454.52 billion, mainly involving third-party cloud computing capacity, servers and network infrastructure, data center energy services and Reality Labs consumer hardware, of which about $45.85 billion and $121.41 billion mature in 2026 and 2027 respectively.

    Meta shares closed down 6.98% at $648.85 per share on October 22, falling back to early September levels, with all gains brought by the Muse agent wiped out. A report Meta submitted to the U.S. Securities and Exchange Commission on October 22 shows that as of September 30, 2026, its total irrevocable contractual commitments were $454.52 billion, mainly involving third-party cloud computing capacity, servers and network infrastructure, data center energy services and Reality Labs consumer hardwar

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  5. gihyo.jp

    Meta's personal AI agent Muse launches in Japan, its first market outside North America

    Meta launched its personal AI agent Muse in Japan on October 23, available on iOS, Android, and muse.ai; Japan is the first overseas market following the initial launch in North America in September this year. Muse can make plans and execute tasks on the user's behalf, continuing to work even after the app is closed, and it requests user confirmation before actions such as sending emails or purchasing products; Meta is also advancing connector integrations with Japanese local services such as Mercari, Money Forward ME, and Ticket Pia, as well as Gmail, Google Calendar, Instagram, Stripe, Shopify, and Trip.com. Meta says it runs in an isolated Muse Secure VM, with network access managed by a separate Sentinel agent; basic features are free, while the Power plan costs $20/month and the Maximum plan costs $100/month.

    Meta launched its personal AI agent Muse in Japan on October 23, available on iOS, Android, and muse.ai; Japan is the first overseas market following the initial launch in North America in September this year. Muse can make plans and execute tasks on the user's behalf, continuing to work even after the app is closed, and it requests user confirmation before actions such as sending emails or purchasing products; Meta is also advancing connector integrations with Japanese local services such as Me

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  6. Fortune Tech

    Zuckerberg says Meta Muse has over 10 million users, shopping demand so high that Stripe had to raise credit limits

    Meta CEO Zuckerberg said on the October 21 earnings call that since launching on September 8, over 10 million users in the US and Canada have created Muse agents, roughly more than double Threads at its start. Muse can browse the web, send emails, and book travel on users' behalf; a quarter of users use it daily, the most common scenario is shopping, average purchase exceeds $200, first-week transaction volume exceeded expectations, and Meta had to work with Stripe to raise credit limits. Meta plans to charge merchants when Muse helps them complete sales; consumer use is free unless more tokens or more advanced models are needed; the CFO said it is working with Shopify, Walmart, and others to develop the Personal Agent Protocol.

    Meta CEO Zuckerberg said on the October 21 earnings call that since launching on September 8, over 10 million users in the US and Canada have created Muse agents, roughly more than double Threads at its start. Muse can browse the web, send emails, and book travel on users' behalf; a quarter of users use it daily, the most common scenario is shopping, average purchase exceeds $200, first-week transaction volume exceeded expectations, and Meta had to work with Stripe to raise credit limits. Meta p

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  7. 36Kr · AI

    SpaceX's compute pays for itself within a year; Meta's Muse is hard to launch globally due to compute costs

    SpaceX's superintelligence business SI revenue in Q3 was $7.56 billion, accounting for about 52% of total revenue; at current prices, newly deployed compute pays for itself in less than a year. Meta's Muse cannot yet be launched globally because compute costs are too high, and it hopes to improve compute cost efficiency more than tenfold over the next year. Meta's Q3 revenue was $64.6 billion, up 26% year over year, with growth still mainly from advertising, and it has raised its full-year capital expenditure forecast to $135 billion to $145 billion.

    intelligence business SI revenue in Q3 was $7.56 billion, accounting for about 52% of total revenue; at current prices, newly deployed compute pays for itself in less than a year. Meta's Muse cannot yet be launched globally because compute costs are too high, and it hopes to improve compute cost efficiency more than tenfold over the next year. Meta's Q3 revenue was $64.6 billion, up 26% year over year, with growth still mainly from advertising, and it has raised its full-year capital expenditure

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Thursday

  1. Rohan Paul

    Meta distills 30B model Muse Glimmer, capable of running agents on a single consumer-grade GPU

    Meta distilled the dense 30B model Muse Glimmer from the larger Muse Spark, training it on synthetic agent trajectories in simulated applications; its 4-bit weights are under 20 GB, allowing it to run on a single RTX 5090. On the multi-tool benchmark MCPAtlas it scores 75.5, higher than Gemma4-31B's 54.2 and Qwen3.6-27B's 62.5; however, on OSWorld-Verified it trails Qwen3.6-27B's 75.6 with a score of 65.9.

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