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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.

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.

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%.

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.

Pichai Reviews Gemini 4 Argon: Why 3.5 Pro Was Cut

Google CEO Pichai revealed in the "Sources" interview that Gemini 4 Argon processed about 25 trillion tokens in 72 hours of launch, 3 times that of Gemini 3.0 in the same period, and is still rate-limited due to compute constraints. He explained for the first time the reason for cutting Gemini 3.5 Pro: the team found a gap in the model on Agentic Coding, first used the Flash version to complete intensive iterations from 3.5 to 3.8 in about 3 months, while Argon pretraining had already been completed at that time, so they injected the accumulated gains into Argon post-training. He also mentioned that Google internally has entered the RSI stage of researchers and models collaborating, and said the next-generation Gemini 5.0 will be much stronger than Argon.

San Francisco AI venture capital data packaging: buying GitHub stars for 6 cents, annualizing two-week orders into full-year ARR

TMTPost AGI sorts through the data packaging tactics in the San Francisco AI venture capital circle, including multiplying a $3 million order from two weeks by 26 to claim externally about $80 million in ARR, startups mutually signing $5 million letters of intent, and buying GitHub stars at 6 cents each. The article also mentions that such practices likewise exist in the circles of large model labs and computing power centers, and cites industry insiders saying that the previous company that inflated $220 million in revenue by swapping invoices has already gone bankrupt.

TS Lombard speculates the AI bubble may burst in early 2028, with U.S. tech stocks potentially plunging 40%

In an October 22 research note, TS Lombard Chief Macro Strategist Dario Perkins projected that the AI capital expenditure boom could end in early 2028, with the S&P 500 falling 30%, tech stocks plunging 40%, and about $20 trillion in market value evaporating. The report argues that current AI revenue growth mainly comes from the capital expenditure cycle among tech giants and debt financing, and lists six chain-reaction triggers: revenue falling short of expectations, rising credit risk, depreciation pressure, an IPO wave, the semiconductor cycle, and regulatory and safety concerns. The report estimates that U.S. GDP would fall by about 2 percentage points and about 800,000 data center-related jobs would be lost, but private-sector balance sheets are healthy and the Federal Reserve has ample room to cut rates, making the recession closer to those of 1990 or 2001 than to 2008.

Gary Marcus: US Banks Are Under Attack by AI Agents

Gary Marcus, citing an Axios report, said that US banks are tightening system access permissions due to AI agent attacks, and that bank executives are alarmed by these findings. He also mentioned that the attack on France's refrigeration system on October 11 may have been facilitated by agents, as well as the continuously increasing cybersecurity attacks in Japan. He believes that attackers do not need the most advanced frontier models to cause damage, and therefore regulation should not focus only on frontier models and future risks.

Anthropic IPO Draft Prospectus Revealed: $16.3 Billion in Revenue, $80.7 Billion Net Loss in Half a Year

Anthropic's draft IPO prospectus shows $16.3 billion in revenue and a net loss of $80.7 billion in the first half of 2026, of which $72 billion comes from the revaluation of financing instruments such as convertible notes and is not actual cash spending. Computing and infrastructure spending in the first half of the year was nearly $9 billion, about 55% of revenue, down from more than 200% in the same period last year, and the company had already begun to be profitable on an adjusted basis in the third quarter. The article points out that the real risk lies on the cost side: signed forward computing and infrastructure commitments exceed $600 billion and could reach as high as $750 billion; Reuters said that of the $518 billion at the time, about 80% was irrevocable or required minimum payments, while of the $16.3 billion in revenue in the first half of 2026, more than $3.2 billion came from just two major customers, and many major customers had not signed long-term purchase commitments.

Microsoft CEO Satya Nadella's 2026 Annual Letter to Shareholders: Mapping Token Costs to Business Outcomes, Building a Frontier Ecosystem

In his 2026 annual letter to shareholders, Microsoft CEO Satya Nadella proposed building a frontier ecosystem and introduced cost-to-outcome—the business results obtained per unit of token spend—as a new optimization metric. In fiscal year 2026, Microsoft's revenue reached $331.8 billion, up 18% year over year; Azure grew 41%, surpassing $100 billion for the first time; M365 Copilot paid seats exceeded 30 million, and GitHub Copilot users reached 50 million. The letter states that interaction is shifting from synchronous chat to asynchronous agents, with the harness separated from the model; Foundry offers more than 11,000 models and has over 100,000 customers, and Microsoft Frontier Co. was established, deploying 6,000 experts on-site.

Anthropic CEO Dario Responds to Safety Concerns in a Long Post, Reveals High-End Model Was Held Back for Four Months

Anthropic CEO Dario posted a long message on X responding to questions from AI safety investigator Nathan Calvin, disclosing for the first time that the company had already trained a high-end model at the Mythos level as early as February this year. Because its cybersecurity defense mechanisms were not yet complete, it was released only to a very small number of partners, and was not opened to the public until the safety guardrails were in place in June—about four months in total. He also listed the costs the company has proactively borne for safety, including a large number of false positives caused by biological risk filtering, pushing for legislation such as California SB 53, and a plan to commit 5% of the company's shares to a public interest fund. Dario said this approach amounts to competing toward a higher standard, while Calvin questioned how much more the company can concede in the race for the sake of safety.

How Claude Mods Flip Claude Code's Agent Framework into a Human-Facing Attention Interface

Writing in Latent Space, author Dan McAteer introduces Claude Mods: TypeScript or JavaScript plugins that run inside Claude Code, respond to events such as prompts, tool calls, and interface rendering, and change execution and rendering behavior in the CLI and on desktop. Anthropic has built in six mods, including the you-should-know side agent, which is off by default; the author also built a Next Steps Supervisor on top of his own ModSmith. The article compares Claude Mods with ChatGPT's Intelligent UI and Cursor's PR Routing & Approval, noting that the difference among the three lies in who designs the attention interface, and it raises the issues of noise, a cost of roughly 5–6k input-equivalent tokens per check, and trust concerns because mods are not confined by the sandbox.

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