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Friday

  1. Databricks Blog

    Databricks on AI coding cost governance: unit costs cut by up to 90%

    Patrick, a product lead at Databricks, reviewed the cost overrun problem after the company fully adopted AI coding agents, saying that by migrating to cheaper models, routing, spend visibility, and cutting token overhead, unit costs in some scenarios fell by as much as 90%. He noted that hard budget caps would interrupt the best developers, so the company switched to gradual friction through warnings, approvals, and model downgrades, and productized its internal solution as Unity Gateway. The team built its own evaluation using real PRs from its own codebase, finding that GLM 5.2 matched Opus 4.8 in quality at about one-third lower cost per task, while a model that was 1.7 times cheaper per token ended up costing more per task because it consumed more tokens.

    Patrick, a product lead at Databricks, reviewed the cost overrun problem after the company fully adopted AI coding agents, saying that by migrating to cheaper models, routing, spend visibility, and cutting token overhead, unit costs in some scenarios fell by as much as 90%. He noted that hard budget caps would interrupt the best developers, so the company switched to gradual friction through warnings, approvals, and model downgrades, and productized its internal solution as Unity Gateway. The te

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Thursday

  1. 404 Media

    AI is changing hacker offense and defense, and the PHP2Shell vulnerability has sparked "Black October" concerns

    404 Media reports that AI is simultaneously changing offensive hacking and security defense: after researchers used AI to discover the PHP2Shell vulnerability in PHP, Cloudflare observed thousands of exploitation attempts 10 hours before public disclosure, rising to tens of thousands 45 minutes after disclosure, and reaching hundreds of thousands within 2 hours. OpenAI says such discoveries show that AI can expose security flaws at internet scale, but the same capability can also help attackers rapidly develop attack tools; Chainguard's early release of a fix patch sparked controversy over bypassing the disclosure embargo. The article notes that the main impact so far is still various parties proactively patching or taking services offline, and large-scale actual exploitation of the vulnerability has not yet occurred.

    404 Media reports that AI is simultaneously changing offensive hacking and security defense: after researchers used AI to discover the PHP2Shell vulnerability in PHP, Cloudflare observed thousands of exploitation attempts 10 hours before public disclosure, rising to tens of thousands 45 minutes after disclosure, and reaching hundreds of thousands within 2 hours. OpenAI says such discoveries show that AI can expose security flaws at internet scale, but the same capability can also help attackers

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    #analysis#English text is being prepared.#Safety / alignment#Agents
  2. Huxiu

    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.

    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 th

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    #hot-signal#Industry news#English text is being prepared.#English text is being prepared.

Wednesday

  1. Latent Space

    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.

    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 Intel

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  3. Tessl: Product and Engineering Blog

    Jellyfish data: coding agents already write 22% of PRs, but nearly all require human review

    Jellyfish's analysis of data from about 300,000 engineers at 1,300 companies shows that at the median enterprise, autonomous coding agents have already written 22% of merged PRs, up from 18% a month earlier, with the top 10% of companies reaching 53%. However, the median share of PRs independently reviewed and merged by agents is only 0.6%, and 9% for the top 10%, with human review remaining the main bottleneck. The author also notes that the abandonment rate for agent-submitted PRs is 40%, versus 20% for humans, and that the number of human reviews per merged agent PR has more than doubled over the past year.

    Nicholas Arcolano

    Jellyfish's analysis of data from about 300,000 engineers at 1,300 companies shows that at the median enterprise, autonomous coding agents have already written 22% of merged PRs, up from 18% a month earlier, with the top 10% of companies reaching 53%. However, the median share of PRs independently reviewed and merged by agents is only 0.6%, and 9% for the top 10%, with human review remaining the main bottleneck. The author also notes that the abandonment rate for agent-submitted PRs is 40%, vers

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  13. Latent Space

    SF Compute CEO Evan Conrad on Programmable Data Centers and the Compute Market

    SF Compute CEO Evan Conrad said on the Latent Space podcast that the compute market must first achieve physical delivery—that is, actually delivering usable GPU compute—before discussing financialization; otherwise, market manipulation and basis risk are likely to arise. He said SF Compute has already put 5% of its capacity on the order book, and that customers who spend $100 to buy capacity can on average recover $25 by reselling it, with hundreds of millions of dollars in trading volume already completed. He also said the company does not hold hardware in order to remain neutral, and that it already supports customers in partitioning InfiniBand fabric online themselves.

    SF Compute CEO Evan Conrad said on the Latent Space podcast that the compute market must first achieve physical delivery—that is, actually delivering usable GPU compute—before discussing financialization; otherwise, market manipulation and basis risk are likely to arise. He said SF Compute has already put 5% of its capacity on the order book, and that customers who spend $100 to buy capacity can on average recover $25 by reselling it, with hundreds of millions of dollars in trading volume alread

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Tuesday

  1. One Useful Thing

    Ethan Mollick reviews 30 months of AI development in charts

    On the release day of his new book Co-Existence, Ethan Mollick used charts to review the AI progress in the 30 months since his previous book Co-Intelligence was published. He said that since GPT-4, 20 models have successively taken the top spot, and 180 models were stronger than GPT-4 at release, 19 of which can run on modern smartphones; the METR long-task benchmark showed that the amount of human work AI can complete increased from 4 minutes in 2024 to 17 hours in April 2026, and the benchmark was subsequently discontinued because it could no longer measure accurately. He proposed a third mode of collaboration beyond centaur and cyborg: conjurer, that is, summoning agents, assigning tasks, and evaluating results. The charts in this article were completed by Opus 5.5 in Claude Projects orchestrating multiple agents.

    On the release day of his new book Co-Existence, Ethan Mollick used charts to review the AI progress in the 30 months since his previous book Co-Intelligence was published. He said that since GPT-4, 20 models have successively taken the top spot, and 180 models were stronger than GPT-4 at release, 19 of which can run on modern smartphones; the METR long-task benchmark showed that the amount of human work AI can complete increased from 4 minutes in 2024 to 17 hours in April 2026, and the benchmar

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    #newsletter#English text is being prepared.#Agents#English text is being prepared.