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Friday

  1. 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

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  2. 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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  3. 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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  4. 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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  5. 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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  6. The Elec

    Akamai Launches AI Inference and Agent Sandbox Services, Expanding Its Cloud Services Footprint

    On October 29, Akamai released beta versions of two products, Akamai Inference and Akamai Agent Sandbox, allowing users to run AI models on Akamai Cloud and securely execute code generated by AI agents. Akamai Inference supports 12 open-weight models, including OpenAI's gpt-oss-120b, Google's Gemma 4, and Nvidia's Nemotron 3 Ultra, and provides an OpenAI-compatible API. Agent Sandbox is based on WebAssembly isolation technology and restricts code access to computing resources, network connections, and system functions.

    leased beta versions of two products, Akamai Inference and Akamai Agent Sandbox, allowing users to run AI models on Akamai Cloud and securely execute code generated by AI agents. Akamai Inference supports 12 open-weight models, including OpenAI's gpt-oss-120b, Google's Gemma 4, and Nvidia's Nemotron 3 Ultra, and provides an OpenAI-compatible API. Agent Sandbox is based on WebAssembly isolation technology and restricts code access to computing resources, network connections, and system functions.

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  7. The Elec

    Alphabet's Q3 2026 cloud revenue grew 103% year-over-year, with free cash flow at negative $9.07 billion

    Alphabet announced its Q3 2026 earnings: revenue of $127.6 billion came in below analysts' expectations of $128.2 billion, while Google Cloud revenue grew 103% year-over-year to $30.71 billion. Net profit fell about 25% year-over-year to $26.17 billion, and free cash flow was negative $9.07 billion, further deteriorating from negative $5.9 billion in the previous quarter, with shares falling nearly 10% after hours. CFO Anat Ashkenazi said capital expenditures will increase significantly in 2027 due to AI technology development, and on the same day Alphabet released its new-generation model Gemini 4 Carbon.

    Alphabet announced its Q3 2026 earnings: revenue of $127.6 billion came in below analysts' expectations of $128.2 billion, while Google Cloud revenue grew 103% year-over-year to $30.71 billion. Net profit fell about 25% year-over-year to $26.17 billion, and free cash flow was negative $9.07 billion, further deteriorating from negative $5.9 billion in the previous quarter, with shares falling nearly 10% after hours. CFO Anat Ashkenazi said capital expenditures will increase significantly in 2027

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  8. The Guardian Technology

    Alphabet's third-quarter net profit fell 25%, and its market value evaporated by $500 billion

    After Alphabet announced its third-quarter earnings, its stock price fell sharply for two consecutive days, and its market value evaporated by about $500 billion. Net profit for the quarter fell 25% year over year to $26.2 billion, or $2.12 per share, below FactSet analysts' expectations; revenue rose 25% to $127.6 billion, and advertising revenue rose 11% to $82 billion. Google Cloud revenue rose 103% to $30.7 billion, and the company said sales of its self-developed TPU chips contributed significantly; capital expenditure for the quarter was $51.4 billion, and the 2026 capital expenditure guidance is $195 billion to $205 billion.

    by about $500 billion. Net profit for the quarter fell 25% year over year to $26.2 billion, or $2.12 per share, below FactSet analysts' expectations; revenue rose 25% to $127.6 billion, and advertising revenue rose 11% to $82 billion. Google Cloud revenue rose 103% to $30.7 billion, and the company said sales of its self-developed TPU chips contributed significantly; capital expenditure for the quarter was $51.4 billion, and the 2026 capital expenditure guidance is $195 billion to $205 billion.

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  9. 9to5Google

    Gemini app update: new design rolls out to all Android devices, supports generating and editing files within conversations

    The Gemini app update pushes the latest interface design to all Android devices, while also supporting generating, previewing and editing files directly within conversations. Users can create text documents, presentations and spreadsheets, preview them in chat and then edit directly or have Gemini adjust the tone and structure, before opening Google Slides or exporting as PPTX or PDF. PDF preview and editing are available on gemini.google.com and mobile, while Google Docs, Sheets, Slides, Markdown, TXT and code files are limited to the web; file creation and editing have been opened to users of all languages covered by the Gemini app.

    s directly within conversations. Users can create text documents, presentations and spreadsheets, preview them in chat and then edit directly or have Gemini adjust the tone and structure, before opening Google Slides or exporting as PPTX or PDF. PDF preview and editing are available on gemini.google.com and mobile, while Google Docs, Sheets, Slides, Markdown, TXT and code files are limited to the web; file creation and editing have been opened to users of all languages covered by the Gemini app.

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Thursday

  1. 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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  2. 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).

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  3. 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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  4. 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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  5. 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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  6. MediaNama

    IndiaMART Q2 profit rises 10% to ₹90.7 crore, revenue ₹428.6 crore

    Indian B2B platform IndiaMART announced its results for the September 2026 quarter (Q2 FY27): net profit rose 10% year-on-year to ₹90.7 crore, and revenue grew 10% to ₹428.6 crore. The number of paid suppliers fell 2% year-on-year to 217,000, active buyers declined 7% to 40 million, and standalone business enquiries dropped 14% to 27 million. CEO Dinesh Agarwal said the decline in enquiries stems partly from Google AI Overviews, and from the company moving some content behind a login to block crawling by search engines and LLMs, and said he is willing to give up the current 10-20% of business enquiries to protect proprietary data.

    ore, and revenue grew 10% to ₹428.6 crore. The number of paid suppliers fell 2% year-on-year to 217,000, active buyers declined 7% to 40 million, and standalone business enquiries dropped 14% to 27 million. CEO Dinesh Agarwal said the decline in enquiries stems partly from Google AI Overviews, and from the company moving some content behind a login to block crawling by search engines and LLMs, and said he is willing to give up the current 10-20% of business enquiries to protect proprietary data.

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  7. MediaNama

    Paytm expects UPI MDR to bring in Rs 70 crore per fiscal year

    Paytm Group CFO Madhur Deora said on the Q2 FY27 earnings call that after NPCI imposed a 0.4% MDR on P2M UPI transactions above Rs 2,000, based on the current GMV of Rs 28 trillion, this could bring incremental EBITDA of slightly over Rs 70 crore per fiscal year, potentially reaching Rs 90 crore in FY28. Paytm currently accounts for 8.1% of UPI transaction volume, trailing PhonePe's 45.6% and Google Pay's 32.2%; CEO Vijay Shekhar Sharma said the goal is to capture one-third of the market share.

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  8. SiliconANGLE

    Alphabet's Q3 revenue and EPS both fell short of expectations, with shares dropping over 12%

    Alphabet reported adjusted earnings per share of $2.67 and revenue of $127.58 billion for the third quarter, both below Wall Street expectations, sending shares down more than 12% on the day and wiping out over $500 billion in market value. The company's free cash flow was negative $9.07 billion, far below analysts' expectation of $2.7 billion, while capital expenditures of $51.36 billion also came in below expectations. CFO Anat Ashkenazi maintained full-year capital expenditure guidance of $195 billion to $205 billion and reiterated that the figure will exceed $300 billion in fiscal 2027. Google Cloud revenue more than doubled to $30.7 billion, and the Gemini app surpassed 1 billion users worldwide for the first time.

    rket value. The company's free cash flow was negative $9.07 billion, far below analysts' expectation of $2.7 billion, while capital expenditures of $51.36 billion also came in below expectations. CFO Anat Ashkenazi maintained full-year capital expenditure guidance of $195 billion to $205 billion and reiterated that the figure will exceed $300 billion in fiscal 2027. Google Cloud revenue more than doubled to $30.7 billion, and the Gemini app surpassed 1 billion users worldwide for the first time.

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Wednesday

  1. 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.

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  2. 9to5Mac

    iOS 27.2 Upgrades Apple Photos: Shared Albums Add Four Features and Support for SynthID Watermarks

    iOS 27.2 brings two upgrades to Apple Photos: Shared Albums add four features—editing photo and video captions, editing comments, preventing duplicate photo additions, and reminders before an album expires; it also adds support for the SynthID watermark developed by Google, which can identify whether an image was generated or modified by generative tools in Photos and Image Playground. The SynthID watermark is invisible but detectable. Using the new Shared Albums features requires first upgrading the album to iOS 27.

    grades to Apple Photos: Shared Albums add four features—editing photo and video captions, editing comments, preventing duplicate photo additions, and reminders before an album expires; it also adds support for the SynthID watermark developed by Google, which can identify whether an image was generated or modified by generative tools in Photos and Image Playground. The SynthID watermark is invisible but detectable. Using the new Shared Albums features requires first upgrading the album to iOS 27.

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