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Sunday

  1. One Useful Thing

    The Shape of AI Capabilities: Jagged Frontiers, Bottlenecks, and Reverse Protrusions

    In an article, Ethan Mollick points out that AI capabilities remain distributed in a jagged pattern, that weak spots such as memory have long shown no marked improvement, and that the system as a whole is constrained by its worst link. Taking Google's Nano Banana Pro as an example, he explains that image generation quality was once a bottleneck, and that after it was broken through, NotebookLM could directly generate full-page slides from source materials; he argues that judging where AI is heading should focus on bottlenecks rather than benchmark scores.

    In an article, Ethan Mollick points out that AI capabilities remain distributed in a jagged pattern, that weak spots such as memory have long shown no marked improvement, and that the system as a whole is constrained by its worst link. Taking Google's Nano Banana Pro as an example, he explains that image generation quality was once a bottleneck, and that after it was broken through, NotebookLM could directly generate full-page slides from source materials; he argues that judging where AI is head

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    #newsletter#English text is being prepared.#Reasoning#Multimodal

Wednesday

  1. Story1 reports · 1 facts

    Ethan Mollick says he had Opus 5.5 generate an otter video

    Ethan Mollick said he had Opus 5.5 generate a video using the prompt he uses when testing all AI image generation models, "an otter using wifi on a plane." The account appears in his article reviewing the exponential development of AI over the past 30 months. During the same period, on the day his new book Co-Existence was released, Mollick used charts to review the AI progress in the 30 months since the release of his previous book Co-Intelligence, and said the charts in that article were completed by Opus 5.5 in Claude Projects orchestrating multiple agents. Currently there is evidence showing that this video generation action occurred in the above-mentioned review context, with no subsequent developments yet.

    Ethan Mollick said he had Opus 5.5 generate a video using the prompt he uses when testing all AI image generation models, "an otter using wifi on a plane." The account appears in his article reviewing the exponential development of AI over the past 30 months. During the same period, on the day his new book Co-Existence was released, Mollick used charts to review the AI progress in the 30 months since the release of his previous book Co-Intelligence, and said the charts in that article were compl

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Sunday

  1. Story1 reports · 0 facts

    Google releases image model Nano Banana 2.1

    Google has released Nano Banana 2.1, an image generation and editing model that replaces Nano Banana 2, released in February 2026. According to The Decoder, the company says the new model improves on every front and costs about half as much as its predecessor: 1K images drop from 6.70 cents to 3.36 cents, and 4K from 15.10 cents to 7.56 cents. The model is based on Gemini 3.6 Flash and supports 1K, 2K, and 4K resolutions, can process up to 14 reference images at once while keeping 4 characters and 10 objects consistent, and is being rolled out across the Gemini app, AI Mode in Google Search, Google AI Studio, Flow, Stitch, Google Ads, and the Gemini enterprise platform; the older model gemini-3.1-flash-image will be retired on October 29, 2026. On October 7, Krea announced that Nano Banana 2.1 was live, saying it understands prompts better, edits more sharply, and keeps subjects more consistent, with generation support up to 4K. On October 9, an Artificial Analysis evaluation showed that the model ranks three places higher than Nano Banana 2 on the quality-versus-price frontier, at only half the price.

    Google has released Nano Banana 2.1, an image generation and editing model that replaces Nano Banana 2, released in February 2026. According to The Decoder, the company says the new model improves on every front and costs about half as much as its predecessor: 1K images drop from 6.70 cents to 3.36 cents, and 4K from 15.10 cents to 7.56 cents. The model is based on Gemini 3.6 Flash and supports 1K, 2K, and 4K resolutions, can process up to 14 reference images at once while keeping 4 characters a

    Matched fieldsSummary

Thursday

  1. The Verge AI

    Anthropic S-1 shows roughly $850 billion in compute commitments over the next two decades

    The Verge analyzed Anthropic's S-1 filing, noting that its non-cancelable purchase commitments, not-yet-commenced lease agreements, and new compute agreements total roughly $850 billion, and would approach $1 trillion if un finalized deals are included. The filing shows that revenue in the first half of 2026 grew 14-fold year over year to $16.3 billion, adjusted revenue was $1.62 billion, and net revenue retention was 900%. The author argues that these fixed costs require Anthropic to maintain rapid growth, and that the recursive self-improvement mentioned among its risk factors is precisely the key supporting this growth assumption.

    The Verge analyzed Anthropic's S-1 filing, noting that its non-cancelable purchase commitments, not-yet-commenced lease agreements, and new compute agreements total roughly $850 billion, and would approach $1 trillion if un finalized deals are included. The filing shows that revenue in the first half of 2026 grew 14-fold year over year to $16.3 billion, adjusted revenue was $1.62 billion, and net revenue retention was 900%. The author argues that these fixed costs require Anthropic to maintain r

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    #tech-media#Industry news#Anthropic#English text is being prepared.

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

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.

Wednesday

Tuesday