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Wednesday

  1. Shao Meng

    The MiniMax Code team open-sources MCode Stack Agent workflows and Skills

    The MiniMax Code team has open-sourced MCode Stack, writing the Agent workflows and Skills the team uses daily into installable SKILL.md files and manifests, which can be integrated as plugins into MiniMax Code and any Agents that support Skills. The repository packages stacks by member, among which stacks/ronny/ is the most complete, containing 15 skills covering sub-Agent decomposition, context and tool budget auditing, long-session handoff, independent review, and hotfix judgment. The companion notes/ column MCode Engineering Notes explains the rationale; the six engineering-* entries are adapted from Google Engineering Practices, with the adapted portions under CC-BY 3.0 and the rest under MIT.

    Code and any Agents that support Skills. The repository packages stacks by member, among which stacks/ronny/ is the most complete, containing 15 skills covering sub-Agent decomposition, context and tool budget auditing, long-session handoff, independent review, and hotfix judgment. The companion notes/ column MCode Engineering Notes explains the rationale; the six engineering- entries are adapted from Google Engineering Practices, with the adapted portions under CC-BY 3.0 and the rest under MIT.

    Matched fieldsSummary、Body

    #hot-signal#English text is being prepared.#Agents#Open-source ecosystem
  2. Testing Catalog

    October 28 AI Daily Brief: Genie 4 and MAI-Image-2.7 Released

    Google DeepMind released the interactive world model Genie 4, which supports natural language control and native audio. It is first being opened to Trusted Testers, with later integration into Google AI Ultra and the Gemini API. Microsoft AI launched the image editing model MAI-Image-2.7-Preview, ranking 3rd on Arena Edit and 2nd on AA-Image-Editing. Liquid AI open-sourced the LFM3 series of six 2B-class text, vision, audio, and omni-modal models, using a triple-hybrid architecture.

    Matched fieldsSummary、Body

    #hot-signal#Industry news#Google#Anthropic
  3. Analytics India Magazine

    Akamai Launches AI Inference and Agent Sandbox Services

    Akamai has released two services, Akamai Inference and Akamai Agent Sandbox: the former provides 12 open-weight models via an OpenAI-compatible API, with parameter counts ranging from 8B to 2.8T, including NVIDIA Nemotron 3 Ultra, OpenAI gpt-oss-120b, and Google Gemma 4; the latter runs code generated by AI agents in isolation based on WebAssembly, and is released as an open-source component of the Spin framework. Akamai has also expanded its NVIDIA Blackwell Ultra GPU clusters, with each eight-GPU node equipped with 2.3 TB of HBM3e memory.

    ence and Akamai Agent Sandbox: the former provides 12 open-weight models via an OpenAI-compatible API, with parameter counts ranging from 8B to 2.8T, including NVIDIA Nemotron 3 Ultra, OpenAI gpt-oss-120b, and Google Gemma 4; the latter runs code generated by AI agents in isolation based on WebAssembly, and is released as an open-source component of the Spin framework. Akamai has also expanded its NVIDIA Blackwell Ultra GPU clusters, with each eight-GPU node equipped with 2.3 TB of HBM3e memory.

    Matched fieldsSummary、Body

    #hot-signal#Product updates#English text is being prepared.#Agents

Thursday

  1. Ayi AI Notes

    Pichai says AI feeds back into R&D, and the next year will accelerate due to RSI

    Google CEO Sundar Pichai said on the earnings call that AI is helping improve training and release speed, and he expects the next twelve months to keep accelerating due to RSI. The author believes this is not an official announcement of recursive self-improvement, but AI feeding back into the R&D pipeline has already been written into the investor communication minutes. The real change is that the engineering iteration cycle has been compressed; the next stage is a contest over who can hand the R&D pipeline over to AI faster.

    Google CEO Sundar Pichai said on the earnings call that AI is helping improve training and release speed, and he expects the next twelve months to keep accelerating due to RSI. The author believes this is not an official announcement of recursive self-improvement, but AI feeding back into the R&D pipeline has already been written into the investor communication minutes. The real change is that the engineering iteration cycle has been compressed; the next stage is a contest over who can hand the

    Matched fieldsSummary、Body

    #hot-signal#English text is being prepared.#English text is being prepared.#Google
  2. Gemini

    Gemini launches immersive exploration feature

    Google Gemini has launched an immersive exploration feature, allowing users to delve into topics such as Silk Road trade routes, the interior of jet engines, and the physics of lightning; each scene unfolds in interactive layers and comes with guided narration to help users dig deeper into the content.

    Matched fieldsSummary

    #hot-signal#Product updates#Google
  3. Artificial AnalysisSelected

    Gemini 4 Carbon Tops the Artificial Analysis Intelligence Index…

    Artificial Analysis evaluations show that Google's Gemini 4 Carbon tops Intelligence Index v5 with 59 points, ranking first in four of the 9 evaluations: HLE-Diamond, Terminal-Bench-Science, AA-Omniscience, and AutomationBench-AA. On the Coding Agent Index, Gemini 4 Carbon (high) paired with Antigravity CLI scores 59 points, 3 points behind Claude Code paired with Claude Opus 5.5 (max, 62 points). The model is currently available only to some users and has not yet been publicly released; it is priced at $4/$20 per 1M input/output tokens with a 50% discount, has a 1M-token context window, and supports text, image, video, and voice input.

    Artificial Analysis evaluations show that Google's Gemini 4 Carbon tops Intelligence Index v5 with 59 points, ranking first in four of the 9 evaluations: HLE-Diamond, Terminal-Bench-Science, AA-Omniscience, and AutomationBench-AA. On the Coding Agent Index, Gemini 4 Carbon (high) paired with Antigravity CLI scores 59 points, 3 points behind Claude Code paired with Claude Opus 5.5 (max, 62 points). The model is currently available only to some users and has not yet been publicly released; it is p

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    #editorial#Evaluations / benchmarks#Reasoning#English text is being prepared.
  4. Arena

    Arena: Gemini 4 Carbon pushes the Pareto frontier

    Arena.ai says Gemini 4 Carbon pushes the Pareto frontier. The post it cites points out that Google DeepMind's Gemini 4 Carbon (High) has entered the Pareto frontier in Agent Arena, Code Arena: WebDev, and Text Arena; in Agent Arena it ranks #2, with a net improvement of +16.2% and a median cost per task of $1.80, 72% lower than #1 Claude Opus 5.5 (Max).

    Arena.ai says Gemini 4 Carbon pushes the Pareto frontier. The post it cites points out that Google DeepMind's Gemini 4 Carbon (High) has entered the Pareto frontier in Agent Arena, Code Arena: WebDev, and Text Arena; in Agent Arena it ranks 2, with a net improvement of +16.2% and a median cost per task of $1.80, 72% lower than 1 Claude Opus 5.5 (Max).

    Matched fieldsSummary

    #editorial#English text is being prepared.#Evaluations / benchmarks
  5. ArenaSelected

    Gemini 4 Carbon ranks 2nd on Agent Arena with a net improvement of 16.2%

    Arena.ai says Gemini 4 Carbon ranks 2nd in the real-task-based Agent Arena with a net improvement of 16.2%, and sits on the Pareto frontier for cost, time, and output tokens per task. Compared with Gemini 4 Argon, which ranks 7th with an 11% improvement, Carbon is 5 places higher and 5.2 percentage points better; the gains mainly come from a +13.2 percentage point increase in the positive-feedback-to-complaint ratio, +5.6 percentage points in confirmed success, and +4.8 percentage points in steerability. Arena says Carbon's availability will be announced by Google DeepMind.

    a net improvement of 16.2%, and sits on the Pareto frontier for cost, time, and output tokens per task. Compared with Gemini 4 Argon, which ranks 7th with an 11% improvement, Carbon is 5 places higher and 5.2 percentage points better; the gains mainly come from a +13.2 percentage point increase in the positive-feedback-to-complaint ratio, +5.6 percentage points in confirmed success, and +4.8 percentage points in steerability. Arena says Carbon's availability will be announced by Google DeepMind.

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    #editorial#Evaluations / benchmarks#Agents#Google
  6. The Next Platform

    Intel acquires Classiq for $2.3 billion, betting on quantum computing commercialization

    Intel announced the acquisition of Israeli quantum software company Classiq for $2.3 billion, with the deal expected to close in the second half of next year. Classiq's platform uses AI natural language models and a Python-like language to help developers build quantum algorithms and applications, and already has more than 40 enterprise customers, including Comcast, AT&T, BMW, and Oak Ridge National Laboratory. Intel CTO Pushkar Ranade said the move will turn its 10-year-old quantum R&D team into a real quantum computing business, making Intel a full-stack quantum company able to compete with IBM and Google.

    d to close in the second half of next year. Classiq's platform uses AI natural language models and a Python-like language to help developers build quantum algorithms and applications, and already has more than 40 enterprise customers, including Comcast, AT&T, BMW, and Oak Ridge National Laboratory. Intel CTO Pushkar Ranade said the move will turn its 10-year-old quantum R&D team into a real quantum computing business, making Intel a full-stack quantum company able to compete with IBM and Google.

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

    Alphabet's quarterly revenue reaches $127.6 billion; slower-than-expected search ad growth sends shares down about 9%

    Alphabet released its quarterly earnings report, with revenue up about 25% year over year to $127.6 billion, slightly below analyst expectations, while net profit fell about a quarter to nearly $26.2 billion; shares fell about 9% after the report was released. Search advertising revenue rose about 12% year over year to $63.35 billion, below analysts' expectation of about $65 billion; Google manager Philipp Schindler said ad monetization efficiency in AI Mode remains lower than in traditional search. Cloud service revenue more than doubled year over year at a scale of $3.07 billion and beat market expectations, quarterly capital expenditure rose to about $51 billion, and the company maintained its full-year infrastructure spending forecast of $195 billion to $205 billion.

    ; shares fell about 9% after the report was released. Search advertising revenue rose about 12% year over year to $63.35 billion, below analysts' expectation of about $65 billion; Google manager Philipp Schindler said ad monetization efficiency in AI Mode remains lower than in traditional search. Cloud service revenue more than doubled year over year at a scale of $3.07 billion and beat market expectations, quarterly capital expenditure rose to about $51 billion, and the company maintained its f

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    #hot-signal#Industry news#Google

Friday

  2. Rohan Paul

    Claude mobile upgrade: multi-account switching and CarPlay voice

    The Claude mobile app was updated this week: on iPad and iPhone Duo, generated content now opens beside the chat, and iOS and Android support logging in to multiple accounts at once with switching without logging out. On Chromebook, Googlebook, and foldables, an adjustable sidebar, trackpad and right-click support, and keyboard shortcuts have been added; voice mode on iOS and Android responds faster and recognizes speech better in noisy environments, and Apple CarPlay is supported on iPhone.

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    #ai-news#Product updates#Speech#English text is being prepared.
  3. Rohan Paul

    Anthropic accounts for 34.5% of SpaceX's Q3 revenue, becoming its largest customer

    Bloomberg disclosed that Anthropic accounts for 34.5% of SpaceX's Q3 revenue of $14.575 billion, surpassing the U.S. government to become its largest customer. SpaceX's filing labels this customer only as Customer B, and the related payments are for renting Nvidia GPU compute capacity at its Memphis data center; this compute leasing business also serves Google. Anthropic's S-1 filed on October 26 shows that its arrangement with SpaceX reaches up to $120.5 billion by 2029, while its commitments to Google, Amazon, and Microsoft are minimum values of at least $114.5 billion, $110 billion, and $44.9 billion, respectively.

    nt to become its largest customer. SpaceX's filing labels this customer only as Customer B, and the related payments are for renting Nvidia GPU compute capacity at its Memphis data center; this compute leasing business also serves Google. Anthropic's S-1 filed on October 26 shows that its arrangement with SpaceX reaches up to $120.5 billion by 2029, while its commitments to Google, Amazon, and Microsoft are minimum values of at least $114.5 billion, $110 billion, and $44.9 billion, respectively.

    Matched fieldsSummary、Body

    #ai-news#Industry news#English text is being prepared.#Anthropic
  4. Testing Catalog

    Claude multiple small updates: multi-account login and CarPlay

    TestingCatalog summarized a batch of small updates for Claude: the Android version of Claude can now be used like a laptop app, and the views on iPad, iPhone Duo, Chromebook, Googlebooks, and foldable-screen devices have also been optimized; multi-account login has been added; the Claude UI supports 24 new languages; response speed in voice mode has improved, and non-English speech sounds more natural; CarPlay support has been added; the mobile "pull-down search" feature is coming soon.

    Matched fieldsSummary、Body

    #hot-signal#Product updates#Anthropic
  5. Ethan Mollick

    Ethan Mollick on DeepMind's intelligence economics research: agent coordination capability is the key to economic transformation

    Ethan Mollick commented on Google DeepMind's "The Economics of Intelligence" research, pointing out that an organization is not merely the sum of its best individuals, so a single agent becoming stronger will not change the economy on its own; only agents that can work in coordination may bring about transformation. The research, released by Alex Imas, Andrew Koh, and Shane Legg, proposes two thresholds of economic capability—capability and coordination—and argues that economic transformation depends on whether AI becomes a super-strong individual, super-strong collaboration, or both.

    Ethan Mollick commented on Google DeepMind's "The Economics of Intelligence" research, pointing out that an organization is not merely the sum of its best individuals, so a single agent becoming stronger will not change the economy on its own; only agents that can work in coordination may bring about transformation. The research, released by Alex Imas, Andrew Koh, and Shane Legg, proposes two thresholds of economic capability—capability and coordination—and argues that economic transformation de

    Matched fieldsSummary

    #hot-signal#English text is being prepared.#Agents#Papers/Research
  7. Rohan Paul

    Gemini 4 Carbon Tops the Artificial Analysis Intelligence Index with 59 Points

    Google's Gemini 4 Carbon ranks first on the Artificial Analysis Intelligence Index with 59 points, 1 point higher than Claude Opus 5.5's 58 points and 2 points higher than GPT-6 Astra's 57 points. Artificial Analysis found that Carbon won 4 of 9 benchmarks (HLE-Diamond, Terminal-Bench-Science, AA-Omniscience, AutomationBench-AA), but it does not lead in coding and knowledge work. Calculated at standard prices, it costs $7.76 per index task, about 23% lower than Opus 5.5's $10.04, but higher than GPT-6 Astra's $6.25.

    Google's Gemini 4 Carbon ranks first on the Artificial Analysis Intelligence Index with 59 points, 1 point higher than Claude Opus 5.5's 58 points and 2 points higher than GPT-6 Astra's 57 points. Artificial Analysis found that Carbon won 4 of 9 benchmarks (HLE-Diamond, Terminal-Bench-Science, AA-Omniscience, AutomationBench-AA), but it does not lead in coding and knowledge work. Calculated at standard prices, it costs $7.76 per index task, about 23% lower than Opus 5.5's $10.04, but higher than

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    #ai-news#Evaluations / benchmarks#Google#Anthropic
  8. Arena

    Exo Architecture: AI Agent Runtime Self-Improvement

    Alex Krentsel, a Senior Research Scientist at Google Research and a PhD student at UC Berkeley, shared the self-improving AI agent architecture Exo at Arena. Drawing on the exokernel approach from operating systems, it splits the agent into a protected mechanism layer (state, history, keys, and a "guardian") and a fully evolvable policy layer. On benchmarks and open-world RuneScape tasks, Exo is 31-62% cheaper than Codex and Pi.

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    #editorial#Papers/Research#Agents#Google
  9. Unite.AI

    Gemini app now supports editing documents and PDFs within conversations

    Google announced that Gemini app users can now generate, preview, and edit files such as documents, PDFs, presentations, spreadsheets, and code directly within conversations, and this capability is available to all users in all regions where the app is available. Editing methods include direct full-screen input and modification, selecting text to ask Gemini questions, and having Gemini rewrite file content. PDF preview and editing are supported on both the web version and mobile, while other formats such as Google Docs, Sheets, Slides, Markdown, TXT, and code are supported only on the web version. This update adds an in-place editing layer on top of the file generation feature launched on April 29, 2026.

    Google announced that Gemini app users can now generate, preview, and edit files such as documents, PDFs, presentations, spreadsheets, and code directly within conversations, and this capability is available to all users in all regions where the app is available. Editing methods include direct full-screen input and modification, selecting text to ask Gemini questions, and having Gemini rewrite file content. PDF preview and editing are supported on both the web version and mobile, while other for

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    #hot-signal#Product updates#Google#Agents
  10. Unite.AISelected

    Epoch AI report: open-source model GLM 5.3 exploits Firefox patch gap to launch attacks

    Epoch AI published research on October 29, 2026, stating that GLM 5.3, an open-weight model released by Z.ai in August 2026, can exploit browser patch gaps to compromise six recent versions of Mozilla Firefox, at a marginal cost of about $1,000 per version. In the experiment, the model, without internet access and with only public information, autonomously completed vulnerability identification and a multi-stage exploit chain, with the fastest run taking 12 hours, and repeatedly rediscovered an undisclosed vulnerability; Epoch has notified Mozilla of the vulnerability, which the latter fixed in Firefox 159.0 released on October 27, 2026. Epoch said total API spending for the Firefox effort exceeded $100,000, while attacking Google Chrome with the same toolset cost about $100,000 and still did not succeed.

    with only public information, autonomously completed vulnerability identification and a multi-stage exploit chain, with the fastest run taking 12 hours, and repeatedly rediscovered an undisclosed vulnerability; Epoch has notified Mozilla of the vulnerability, which the latter fixed in Firefox 159.0 released on October 27, 2026. Epoch said total API spending for the Firefox effort exceeded $100,000, while attacking Google Chrome with the same toolset cost about $100,000 and still did not succeed.

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    #hot-signal#Safety / alignment#Agents#Open-source ecosystem