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Thursday

  1. Ed Zitron long-form article / Where's Your Ed At

    Ed Zitron's Long-Form Article Questions Anthropic IPO: S-1 Conceals Q3 Data, $430 Billion Compute Commitment About to Take Effect

    In his long-form article, Ed Zitron analyzes Anthropic's S-1, arguing that the document only discloses Q2 2026 data, and that the quarter's $974 million in profit came from two months of SpaceX compute discounts, while Q3 revenue, cash balance, and payment schedule were not disclosed. He tallies Anthropic's non-cancelable compute commitments with Google, Amazon, Microsoft, SpaceX, Broadcom, and others at approximately $269.4 billion, with an additional $125 billion to $150 billion in TPU purchase commitments not included in the contract table, and notes that Q3 revenue grew 45% quarter-over-quarter to $16.8 billion, while compute spending grew 76.3% to $9.88 billion. The article also mentions that 5% to 7% of revenue comes from customers found to have violated rules by using its models to train their own models, as well as lock-up arrangements that allow insiders to sell down relatively quickly.

    In his long-form article, Ed Zitron analyzes Anthropic's S-1, arguing that the document only discloses Q2 2026 data, and that the quarter's $974 million in profit came from two months of SpaceX compute discounts, while Q3 revenue, cash balance, and payment schedule were not disclosed. He tallies Anthropic's non-cancelable compute commitments with Google, Amazon, Microsoft, SpaceX, Broadcom, and others at approximately $269.4 billion, with an additional $125 billion to $150 billion in TPU purchas

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  2. MIT Tech Review

    Partnership on AI research: Agent frameworks generally lack observability records

    Madhulika Srikumar and Claire Leibowicz of Partnership on AI write that current agent frameworks cannot reliably generate the key observability records needed for safe deployment. Together with colleagues from academia, civil society, and industry, the authors studied the four most widely used agent frameworks and found that signals such as persistent Agent IDs and human approval records are missing, making it difficult to determine which agent did what and whether it exceeded its authority. The article recommends using OpenTelemetry to fill in the records of "what happened," and calls on framework developers, enterprises adopting agents, and regulators to each bear their respective responsibilities.

    Madhulika Srikumar and Claire Leibowicz of Partnership on AI write that current agent frameworks cannot reliably generate the key observability records needed for safe deployment. Together with colleagues from academia, civil society, and industry, the authors studied the four most widely used agent frameworks and found that signals such as persistent Agent IDs and human approval records are missing, making it difficult to determine which agent did what and whether it exceeded its authority. The

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Wednesday

  1. Simon Willison

    Simon Willison: October 2026 is the inflection point for vibe coding game development

    Simon Willison believes that October 2026 is the inflection point for vibe coding game development. Claude Opus 5.5 has made notable improvements in 3D modeling, music generation, and game design. After having the model make games more fun, he spent a few weeks building four browser games he genuinely wants to play. Each of these projects took no more than four hours of investment, and all were built with HTML and JavaScript and run in the browser; he suggests starting with prompts like "Build a mobile-friendly three.js game where..." and switching to Claude Code or Codex once a project gets past the prototype stage.

    Simon Willison believes that October 2026 is the inflection point for vibe coding game development. Claude Opus 5.5 has made notable improvements in 3D modeling, music generation, and game design. After having the model make games more fun, he spent a few weeks building four browser games he genuinely wants to play. Each of these projects took no more than four hours of investment, and all were built with HTML and JavaScript and run in the browser; he suggests starting with prompts like "Build a

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  2. Latent SpaceSelected

    Anthropic's Engineering and Product Leads Discuss the Opus 5.5 Release and Claude's Agent Architecture

    In a Latent Space podcast interview, Anthropic engineering lead Katelyn Lesse and product lead Angela Jiang discussed the Opus 5.5 release, covering adjustments to the model's writing style, pricing based on intelligence per dollar, and API changes such as requiring thinking blocks to be retained across turns to prevent distillation. The interview also described Claude Managed Agents' approach of separating sessions and the harness from the sandbox that executes code, with credentials mounted separately through a proxy so that a sandbox failure does not take down the entire session; Dreaming, meanwhile, is implemented as one managed agent inspecting another agent's history and writing back to memory. The team said that as safety work for model releases has grown heavier, recent efforts have shifted more toward safety, with progress on features such as skills and memory slowing relatively.

    In a Latent Space podcast interview, Anthropic engineering lead Katelyn Lesse and product lead Angela Jiang discussed the Opus 5.5 release, covering adjustments to the model's writing style, pricing based on intelligence per dollar, and API changes such as requiring thinking blocks to be retained across turns to prevent distillation. The interview also described Claude Managed Agents' approach of separating sessions and the harness from the sandbox that executes code, with credentials mounted se

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Monday

  1. 36Kr · AI

    The agents helping users snag iPhone foldables are shaping the future of e-commerce in the AI era

    Shopping agents such as Meta's Muse and xAI's Grok Bot snapped up inventory during the iPhone Duo pre-order; Amazon banned external agents on the grounds of violating its terms of use, while Shopify chose deep collaboration with Muse. Shopify disclosed that in the first quarter of this year, orders driven by AI search grew nearly 13-fold year over year and AI-driven store traffic grew 8-fold, but in the second quarter these two multiples fell back to 3-fold, and agentic commerce transaction volume remains very small relative to the platform's GMV. The article argues that Amazon guarding its advertising shelves and Shopify building an open pipeline are the most rational choices for each of the two business models, and outlines the position of the UCP protocol, Shopify Catalog and Shop Pay in agent transactions.

    Shopping agents such as Meta's Muse and xAI's Grok Bot snapped up inventory during the iPhone Duo pre-order; Amazon banned external agents on the grounds of violating its terms of use, while Shopify chose deep collaboration with Muse. Shopify disclosed that in the first quarter of this year, orders driven by AI search grew nearly 13-fold year over year and AI-driven store traffic grew 8-fold, but in the second quarter these two multiples fell back to 3-fold, and agentic commerce transaction volu

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Sunday

  1. Interconnects

    Podcast: Kimi K3.1 Pro, the new cybersecurity reality, and the Muse user experience

    In episode 20 of the Interconnects podcast, Nathan Lambert and Florian Brand discussed how Kimi K3.1 Pro ranks high on Artificial Analysis but receives mixed reviews, arguing that its training leans more toward exploitation than exploration, with weaker performance on long-horizon benchmarks such as ProgramBench. The two also discussed the cybersecurity controversy surrounding open-weight models, noting that no large-scale exploitation occurred after the disclosure of the PHP2Shell vulnerability, and talked about Anthropic not hiring junior employees as well as Florian's experience using Muse to handle everyday tasks such as shopping.

    In episode 20 of the Interconnects podcast, Nathan Lambert and Florian Brand discussed how Kimi K3.1 Pro ranks high on Artificial Analysis but receives mixed reviews, arguing that its training leans more toward exploitation than exploration, with weaker performance on long-horizon benchmarks such as ProgramBench. The two also discussed the cybersecurity controversy surrounding open-weight models, noting that no large-scale exploitation occurred after the disclosure of the PHP2Shell vulnerability

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  2. Huxiu

    Behind the Kimi K3.1 Pro quota controversy: the stronger the model, the tighter the compute

    Moonshot AI released Kimi K3.1 Pro on October 24, scoring 65.7% on Terminal-Bench 4.0, but users of the 199-yuan and 699-yuan plans complain that quotas are insufficient, and some developers estimate that the API value of the old plans is about 1.94 times that of the new plans. K3.1 Pro's per-million-Token input and output prices dropped from K3's 20 yuan and 100 yuan to 13 yuan and 68 yuan, while complex Agent tasks can consume millions of Tokens. A CAICT report shows that in June 2026, domestic daily average Tokens were about 500 trillion, nearly four times the figure in December 2025; the author believes that the compute shortage will still constrain independent model companies over the long term.

    Moonshot AI released Kimi K3.1 Pro on October 24, scoring 65.7% on Terminal-Bench 4.0, but users of the 199-yuan and 699-yuan plans complain that quotas are insufficient, and some developers estimate that the API value of the old plans is about 1.94 times that of the new plans. K3.1 Pro's per-million-Token input and output prices dropped from K3's 20 yuan and 100 yuan to 13 yuan and 68 yuan, while complex Agent tasks can consume millions of Tokens. A CAICT report shows that in June 2026, domesti

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Saturday

  1. Huxiu

    Amazon CEO Jassy on $220 Billion in Capital Expenditure: Compute Is Still in Short Supply, Inference Costs Need to Fall by Another Order of Magnitude

    Amazon CEO Andy Jassy said in an interview on the a16z podcast that the company's capital expenditure is expected to reach $220 billion in 2026, but compute capacity is already sold out for 2026, essentially fully booked for 2027, and a large share of 2028 quotas has been locked in. He described enterprise AI demand as dumbbell-shaped: a large number of production systems in the middle have yet to be deeply integrated because inference costs are too high, and costs need to fall by another order of magnitude before an explosion in adoption occurs. Jassy also noted that 99% of AWS's top 1,000 customers use Graviton, which offers about 40% better price-performance than x86, while Trainium has a 30% to 40% advantage over comparable hardware.

    Amazon CEO Andy Jassy said in an interview on the a16z podcast that the company's capital expenditure is expected to reach $220 billion in 2026, but compute capacity is already sold out for 2026, essentially fully booked for 2027, and a large share of 2028 quotas has been locked in. He described enterprise AI demand as dumbbell-shaped: a large number of production systems in the middle have yet to be deeply integrated because inference costs are too high, and costs need to fall by another order

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  2. Cailianshe

    AI-driven cyberattacks erupt intensively; industry insiders call October a "Black October" for cybersecurity

    Cailianshe reported that in recent weeks hackers have massively deployed AI agents and automated tools to launch attacks, and industry insiders describe this month as Black October in the cybersecurity world. A major vulnerability was exposed in PHP, and as many as 70% of websites worldwide may face the risk of being hacked. The U.S. National Security Agency and the FBI warned enterprises to shut down their websites if they cannot patch immediately, and some government websites in Canada, Belgium, France and the Netherlands have proactively gone offline. Shane Fry, chief technology officer of security firm RunSafe Security, said AI can weaponize a vulnerability into attack code within hours, whereas in the past this took weeks or even months.

    Cailianshe reported that in recent weeks hackers have massively deployed AI agents and automated tools to launch attacks, and industry insiders describe this month as Black October in the cybersecurity world. A major vulnerability was exposed in PHP, and as many as 70% of websites worldwide may face the risk of being hacked. The U.S. National Security Agency and the FBI warned enterprises to shut down their websites if they cannot patch immediately, and some government websites in Canada, Belgiu

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  3. East Money

    AI-driven attacks erupt intensively, and the cybersecurity world ushers in "Black October"

    Cailian Press reported that in recent weeks hackers have massively deployed AI agents and automated tools to launch attacks, and industry insiders describe this month as "Black October" for the cybersecurity world. A major vulnerability was exposed in PHP, and as many as 70% of websites worldwide may face the risk of being hacked. The U.S. National Security Agency and the Federal Bureau of Investigation warned enterprises to shut down their websites if they cannot patch immediately, and some government websites in Canada, Belgium, France and the Netherlands voluntarily went offline. Shane Fry, chief technology officer of the security firm RunSafe Security, pointed out that AI can "weaponize" a vulnerability within hours to generate attack code, whereas in the past this often took weeks or even months.

    Cailian Press reported that in recent weeks hackers have massively deployed AI agents and automated tools to launch attacks, and industry insiders describe this month as "Black October" for the cybersecurity world. A major vulnerability was exposed in PHP, and as many as 70% of websites worldwide may face the risk of being hacked. The U.S. National Security Agency and the Federal Bureau of Investigation warned enterprises to shut down their websites if they cannot patch immediately, and some gov

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  4. 36Kr · AI

    Today AI Completes Over $200 Million First Round of Financing; Founding Team Responds to Ten Core Questions About Personal AI

    Today AI announced the completion of over $200 million in first-round financing, with investors including IDG Capital, Tencent, 5Y Capital, Ant Group, Sequoia China, Transsion Holdings, Tongge Venture Capital, and Shanghai Jiao Tong University Hanyuan Assets. In the interview, the founding team responded to questions including whether Personal AI is a false demand, why they insist on an independent app and single session, how memory and proactivity reduce delegation costs, as well as privacy authorization and commercialization paths. The team stated that Personal AI is currently in a stage of homogeneous competition, with the moat coming more from Context accumulated through long-term use, and plans to train models that lean more toward interaction and anthropomorphic style.

    Today AI announced the completion of over $200 million in first-round financing, with investors including IDG Capital, Tencent, 5Y Capital, Ant Group, Sequoia China, Transsion Holdings, Tongge Venture Capital, and Shanghai Jiao Tong University Hanyuan Assets. In the interview, the founding team responded to questions including whether Personal AI is a false demand, why they insist on an independent app and single session, how memory and proactivity reduce delegation costs, as well as privacy aut

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  5. TMTPost · AGI

    Why AI Audit Tools Are Supplied by the Audited Party: Verification of Four Security Incidents and Seven Papers in One Week

    Using four security incidents within the week of October 16 to 23 as its thread—including two PHP remote code execution vulnerabilities discovered by AI, the backdoored LiteLLM version v1.107.0 surviving on PyPI for about two hours and being downloaded roughly 49,000 times, the OpenCode console leaking third-party model keys for 1.4% of users, and Microsoft reporting that a human organization used the open-source multi-agent penetration framework ARTEX to attack the supply chain—the article discusses the common problems facing AI auditing. After examining seven papers one by one, the author points out that the faithfulness of latent reasoning self-decoding reaches at most 0.4788, sparse autoencoders are nearly blind to backdoor shifts, probes fail when targeted by the object being optimized, and all three mainstream audit tools originate from the audited party's ecosystem or require borrowing the audited party's permissions. The article also cites the NARCBench multi-agent collusion benchmark from Oxford and New York University, as well as the report by Anthropic and Theorem using Claude to write roughly one billion lines of Rocq formal proofs for 239 entry points across 123 open-source libraries.

    Using four security incidents within the week of October 16 to 23 as its thread—including two PHP remote code execution vulnerabilities discovered by AI, the backdoored LiteLLM version v1.107.0 surviving on PyPI for about two hours and being downloaded roughly 49,000 times, the OpenCode console leaking third-party model keys for 1.4% of users, and Microsoft reporting that a human organization used the open-source multi-agent penetration framework ARTEX to attack the supply chain—the article disc

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  6. Wallstreetcn

    Amazon CEO Jassy: AWS's AI business has an annualized revenue of over $25 billion, and $220 billion in capital expenditure for 2026 is still not enough

    Amazon CEO Andy Jassy said on the a16z podcast that in the first three years of the generative AI wave, AWS's AI business has reached an annualized revenue run rate of over $25 billion, hundreds of times AWS's roughly $60 million in its early days. He said that under capital expenditure of about $220 billion for 2026, capacity for 2026 is already sold out, 2027 is essentially sold out, and a considerable portion of 2028 has also been sold, and that inference costs are still an order of magnitude too expensive, which is the main obstacle to widespread enterprise adoption of AI. He also mentioned that the Bedrock team rebuilt the inference engine with 6 engineers in 76 days, a task that previously required 40 people for a year.

    Amazon CEO Andy Jassy said on the a16z podcast that in the first three years of the generative AI wave, AWS's AI business has reached an annualized revenue run rate of over $25 billion, hundreds of times AWS's roughly $60 million in its early days. He said that under capital expenditure of about $220 billion for 2026, capacity for 2026 is already sold out, 2027 is essentially sold out, and a considerable portion of 2028 has also been sold, and that inference costs are still an order of magnitude

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  7. IT Home · Artificial Intelligence

    Amazon CEO Jassy: AI inference costs need to fall to about one-tenth of current levels

    In an a16z interview, Amazon CEO Andy Jassy said AI inference costs are still an order of magnitude too high, and that for AI to be widely used in enterprise software, costs need to fall to about one-tenth of current levels. He said Amazon plans to spend $220 billion in capital expenditure this year, that its main compute supply for 2026 is essentially fully booked, and that most of 2027 has also been reserved; the in-house Trainium chip offers about 30% to 40% better price-performance than comparable processors, and has already secured more than $225 billion in future revenue commitments.

    In an a16z interview, Amazon CEO Andy Jassy said AI inference costs are still an order of magnitude too high, and that for AI to be widely used in enterprise software, costs need to fall to about one-tenth of current levels. He said Amazon plans to spend $220 billion in capital expenditure this year, that its main compute supply for 2026 is essentially fully booked, and that most of 2027 has also been reserved; the in-house Trainium chip offers about 30% to 40% better price-performance than comp

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  8. Shao Meng

    QodoAI founder: Agentic SDLC is not equal to a software factory; teams must build and own a bounded L4 system

    QodoAI founder Itamar Friedman believes that having Agents at every stage does not mean a software factory already exists; the factory's goal is a bounded L4 system that, on defined classes of work, autonomously completes the authorized lifecycle, produces verifiable evidence, and safely falls back on failure. Borrowing from autonomous driving levels, he devised an L0-to-L5 framework, pointing out that L4 does not mean omnipotence—operational boundaries are themselves part of the capability. Teams can first aim for L4 on routine changes to mature internal services, while still tightly controlling things like payment authorization. He emphasizes System > Agents > LLMs: a team's advantage lies in building and owning the boundaries, evidence, permissions, and feedback, rather than stacking models or buying black boxes.

    QodoAI founder Itamar Friedman believes that having Agents at every stage does not mean a software factory already exists; the factory's goal is a bounded L4 system that, on defined classes of work, autonomously completes the authorized lifecycle, produces verifiable evidence, and safely falls back on failure. Borrowing from autonomous driving levels, he devised an L0-to-L5 framework, pointing out that L4 does not mean omnipotence—operational boundaries are themselves part of the capability. Tea

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  9. Huxiu

    Unprecedented trillion-scale investment—is NVIDIA the only winner?

    Huxiu reviews the global AIDC construction wave, noting that combined computing power investment is expected to reach $830 billion in 2026, up 79% year over year, but as of July 2026 more than 95% of NVIDIA's Grace Blackwell capacity has not yet been put into use. Industry consensus is that about 60% or more of giant capital expenditure corresponds to clear customers, while the remaining 30-40% is preemptive capacity grabbing. The article cites cases such as CoreWeave's Q2 revenue of $2.575 billion and net loss of $626 million to show that the three conditions—single-park revenue covering costs, stable utilization and rental prices, and follow-on financing continuing—are currently not broadly verified, and the certain winner may only be equipment seller NVIDIA.

    Huxiu reviews the global AIDC construction wave, noting that combined computing power investment is expected to reach $830 billion in 2026, up 79% year over year, but as of July 2026 more than 95% of NVIDIA's Grace Blackwell capacity has not yet been put into use. Industry consensus is that about 60% or more of giant capital expenditure corresponds to clear customers, while the remaining 30-40% is preemptive capacity grabbing. The article cites cases such as CoreWeave's Q2 revenue of $2.575 bill

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  10. 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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  11. Exponential View

    Azeem Azhar: AI is turning old vulnerabilities into serious problems, and the internet will become safer but more closed

    Azeem Azhar believes the current internet is under intense attack, with AI greatly increasing the scale and speed of exploiting old vulnerabilities; PHP2Shell, Node.js vulnerabilities, and the AI agent cluster intrusion disclosed by Microsoft are contemporaneous cases. He cites Cloudflare head Matthew Prince's prediction that within five years the number of AI agents will reach 1,000 times the number of human users, and judges that attacks will worsen first, with the internet ultimately left safer but less open. The article also mentions that Anthropic once delayed the release of Claude Mythos, while the open-source model GLM 5.3 had by August approached its level.

    Azeem Azhar believes the current internet is under intense attack, with AI greatly increasing the scale and speed of exploiting old vulnerabilities; PHP2Shell, Node.js vulnerabilities, and the AI agent cluster intrusion disclosed by Microsoft are contemporaneous cases. He cites Cloudflare head Matthew Prince's prediction that within five years the number of AI agents will reach 1,000 times the number of human users, and judges that attacks will worsen first, with the internet ultimately left saf

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  12. Wallstreetcn

    From CoreWeave to Anthropic, chip-collateralized financing is reshaping the AI debt market

    Chip-collateralized financing began in 2023 when Blackstone provided $2.3 billion in private credit to CoreWeave; now Broadcom is in talks with Wall Street institutions to arrange $60 billion in chip financing for Anthropic, while Nvidia announced a $500 billion cooperation framework with six major lenders. JPMorgan analysts estimate total chip spending could exceed $3 trillion before 2030, most of which will rely on debt financing. The article also notes that such deals are mostly private in nature with limited exit channels, cross-exposures among chipmakers, cloud computing giants and emerging cloud service providers are highly concentrated, and CoreWeave's corporate junk bonds have recently fallen to around 80 cents on the dollar with a yield of about 15%.

    Chip-collateralized financing began in 2023 when Blackstone provided $2.3 billion in private credit to CoreWeave; now Broadcom is in talks with Wall Street institutions to arrange $60 billion in chip financing for Anthropic, while Nvidia announced a $500 billion cooperation framework with six major lenders. JPMorgan analysts estimate total chip spending could exceed $3 trillion before 2030, most of which will rely on debt financing. The article also notes that such deals are mostly private in na

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Friday

  1. 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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