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Thursday

  1. Shao Meng

    Google Research releases SLEEP: using offline sleep cycles to mitigate catastrophic forgetting in large models

    Google Research releases the SLEEP method, which lets LLMs periodically switch between wakeful interaction and sleep consolidation, writing short-term contextual information into scalable long-term parameters, and self-improving with synthetic data during the dreaming phase. The sleep phase unlocks reserved MoE memory blocks, combining generalized knowledge distillation and imitation learning to complete memory consolidation, then resets high-frequency temporary parameters. In evaluations of continual translation on unseen languages, SLEEP shows near-zero performance drop; on BABILong it is claimed to scale to about 10 million tokens; on AIME 24/25 and HMMT 25 it achieves approximately 79.2%, 69.0%, and 46.1%, respectively.

    Google Research releases the SLEEP method, which lets LLMs periodically switch between wakeful interaction and sleep consolidation, writing short-term contextual information into scalable long-term parameters, and self-improving with synthetic data during the dreaming phase. The sleep phase unlocks reserved MoE memory blocks, combining generalized knowledge distillation and imitation learning to complete memory consolidation, then resets high-frequency temporary parameters. In evaluations of con

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  2. Shao Meng

    Google DeepMind Previews Gemini 4 Carbon, Claiming Leadership in Cybersecurity and Long-Horizon Capabilities

    Google DeepMind has previewed its next-generation frontier model, Gemini 4 Carbon, claiming it achieves SOTA in cybersecurity and long-horizon capabilities, ranking first on the Artificial Analysis Intelligence Index v5.0 with 59 points, while Claude Opus 5.5 scored 58. The model is not yet publicly available; it will first be opened to select cybersecurity defenders and trusted partners in the Fairwind program, and will participate in the U.S. government's voluntary pre-release testing, before gradually being opened to developers, enterprises, and consumers. Introductory pricing is the same as Argon, at approximately $2 input and $10 output per million tokens, rising to approximately $4 input and $20 output after the introductory period.

    Google DeepMind has previewed its next-generation frontier model, Gemini 4 Carbon, claiming it achieves SOTA in cybersecurity and long-horizon capabilities, ranking first on the Artificial Analysis Intelligence Index v5.0 with 59 points, while Claude Opus 5.5 scored 58. The model is not yet publicly available; it will first be opened to select cybersecurity defenders and trusted partners in the Fairwind program, and will participate in the U.S. government's voluntary pre-release testing, before

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  3. Testing Catalog

    Google and XREAL launch the first Android XR glasses, XREAL AURA, starting at $1,099

    Google and XREAL have officially launched the first Android XR glasses, XREAL AURA, with a noticeably lighter body that can be worn continuously for hours to watch movies or work across multiple screens. Gemini can act on everything within the field of view, including laptop windows, and users can ask it to organize windows or discuss the content in front of them. The product is aimed at users aged 18 and over, with orders opening today in the United States, Canada, and South Korea, sales starting in Japan on November 2, and a launch price starting at $1,099 within the year.

    Google and XREAL have officially launched the first Android XR glasses, XREAL AURA, with a noticeably lighter body that can be worn continuously for hours to watch movies or work across multiple screens. Gemini can act on everything within the field of view, including laptop windows, and users can ask it to organize windows or discuss the content in front of them. The product is aimed at users aged 18 and over, with orders opening today in the United States, Canada, and South Korea, sales starti

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  4. Josh WoodwardSelected

    Google releases Gemini 4 Carbon, just two weeks after Argon

    Google has released its next-generation frontier model Gemini 4 Carbon, just two weeks after the release of Gemini 4 Argon. According to Sundar Pichai, Carbon ranks first on the ArtificialAnlys Intelligence Index v5.0 with a score of 59, scoring 88.2% on SEC-bench Pro, 54.8% on ExploitGym, and 71.0% on CWE-bench in cybersecurity evaluations, with notable improvements over Argon on long-horizon tasks. The model will first be made available to trusted cybersecurity defenders, then expand its collaboration scope through the Fairwind Program, and subsequently become more broadly available.

    Google has released its next-generation frontier model Gemini 4 Carbon, just two weeks after the release of Gemini 4 Argon. According to Sundar Pichai, Carbon ranks first on the ArtificialAnlys Intelligence Index v5.0 with a score of 59, scoring 88.2% on SEC-bench Pro, 54.8% on ExploitGym, and 71.0% on CWE-bench in cybersecurity evaluations, with notable improvements over Argon on long-horizon tasks. The model will first be made available to trusted cybersecurity defenders, then expand its colla

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  5. Sundar PichaiSelected

    Google releases Gemini 4 Carbon frontier model, claims first place on Intelligence Index

    Google releases its new-generation frontier model Gemini 4 Carbon, just two weeks after the release of Argon. The model ranks first with 59 points on the updated ArtificialAnlys Intelligence Index v5.0, and achieved scores of SEC-bench Pro 88.2%, ExploitGym 54.8%, and CWE-bench 71.0% in cybersecurity evaluations. Compared with Argon, Carbon shows significant improvement on long-horizon tasks, and frontier safety safeguards have also been strengthened; starting this week, it will first be opened to select trusted cybersecurity defenders, then expand the range of partners through the Fairwind Program, and gradually open up more broadly.

    Google releases its new-generation frontier model Gemini 4 Carbon, just two weeks after the release of Argon. The model ranks first with 59 points on the updated ArtificialAnlys Intelligence Index v5.0, and achieved scores of SEC-bench Pro 88.2%, ExploitGym 54.8%, and CWE-bench 71.0% in cybersecurity evaluations. Compared with Argon, Carbon shows significant improvement on long-horizon tasks, and frontier safety safeguards have also been strengthened; starting this week, it will first be opened

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  6. Google AI

    Google Releases Gemini 4 Carbon, Focused on Cybersecurity and Long-Horizon Task Capabilities

    Google announced the launch of Gemini 4 Carbon, calling it its strongest model to date and saying it reaches leading levels in cybersecurity and long-horizon task capabilities. Carbon improves on its predecessor on most benchmarks and stands out in autonomous coding and cyber defense. The model is first being made available to some trusted cyber defenders in the Fairwind program, with access to be expanded as soon as possible afterward.

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  7. heise online

    Google and Xreal's co-developed Android XR glasses Aura go on sale, starting at $1,099

    Xreal Aura, the Android XR glasses developed by Xreal in collaboration with Google, is now on sale in the US, Canada, Japan and South Korea. The 12GB+256GB version costs $1,279 and the 16GB+512GB version $1,499, with promotional prices of $1,099 and $1,299 before the end of the year; shipping begins in mid-November. It weighs about 95 grams and uses a split architecture that puts the main computing unit and battery in a wired pocket host. It is powered by Qualcomm's Snapdragon Reality Elite chip and supports Gemini voice commands, hand tracking and a 70-degree field of view. Xreal says it offers more than 150 XR apps and experiences at launch, and is also launching a controller with a Gemini button and a wireless keyboard accessory.

    Xreal Aura, the Android XR glasses developed by Xreal in collaboration with Google, is now on sale in the US, Canada, Japan and South Korea. The 12GB+256GB version costs $1,279 and the 16GB+512GB version $1,499, with promotional prices of $1,099 and $1,299 before the end of the year; shipping begins in mid-November. It weighs about 95 grams and uses a split architecture that puts the main computing unit and battery in a wired pocket host. It is powered by Qualcomm's Snapdragon Reality Elite chip

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  8. heise onlineSelected

    Google releases Gemini 4 Carbon, succeeding Argon and focusing on exploit capabilities

    Google releases the new model Gemini 4 Carbon, replacing Argon, which was launched four weeks ago; initially it is available only to U.S. intelligence agencies and cyber defenders selected through the Fairwind program. Google says Carbon improved from Argon's 42% to nearly 55% on the Exploitgym benchmark, leads GPT-6 Astra with about 88% on SEC-bench Pro, and reaches 71% on CWE-bench. Pricing is $4 per million input tokens and $20 per million output tokens, with a 50% discount initially, and public availability is described only as "soon."

    Google releases the new model Gemini 4 Carbon, replacing Argon, which was launched four weeks ago; initially it is available only to U.S. intelligence agencies and cyber defenders selected through the Fairwind program. Google says Carbon improved from Argon's 42% to nearly 55% on the Exploitgym benchmark, leads GPT-6 Astra with about 88% on SEC-bench Pro, and reaches 71% on CWE-bench. Pricing is $4 per million input tokens and $20 per million output tokens, with a 50% discount initially, and pub

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  9. heise online

    Finnish police launch criminal investigation into Google data center construction

    Police in Oulu, Finland, have launched a criminal investigation into suspected violations of environmental regulations in the construction of a Google data center. The Muhos site is accused of excessive tree felling and deficiencies in drainage and water management. Google subsidiary Tuike Finland has been ordered by the regulatory authority LVV to stop felling, earthworks and blasting, and must submit a water management plan by next week. Google plans to invest at least 13 billion euros in Finland over the next two years to build digital infrastructure.

    Police in Oulu, Finland, have launched a criminal investigation into suspected violations of environmental regulations in the construction of a Google data center. The Muhos site is accused of excessive tree felling and deficiencies in drainage and water management. Google subsidiary Tuike Finland has been ordered by the regulatory authority LVV to stop felling, earthworks and blasting, and must submit a water management plan by next week. Google plans to invest at least 13 billion euros in Finl

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  10. Analytics India Magazine

    Alphabet's Q3 revenue rises to $127.6 billion, Google Cloud revenue doubles

    Alphabet reported third-quarter revenue up 25% year-over-year to $127.6 billion, with operating profit of $40.6 billion and an operating margin of 31.8%. Google Cloud revenue rose from $15.2 billion in the same period last year to $30.7 billion, with backlog reaching $561 billion; search and other advertising revenue grew 12% to $63.4 billion, slowing from 17% and 19% in the previous two quarters. The Gemini app surpassed 1 billion users, the first-party model API processes nearly 32 billion tokens per minute, and this quarter it launched Gemini 4 Argon and announced Gemini 4 Carbon.

    Alphabet reported third-quarter revenue up 25% year-over-year to $127.6 billion, with operating profit of $40.6 billion and an operating margin of 31.8%. Google Cloud revenue rose from $15.2 billion in the same period last year to $30.7 billion, with backlog reaching $561 billion; search and other advertising revenue grew 12% to $63.4 billion, slowing from 17% and 19% in the previous two quarters. The Gemini app surpassed 1 billion users, the first-party model API processes nearly 32 billion tok

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  11. Analytics India MagazineSelected

    Google Releases Gemini 4 Carbon, Focused on Cybersecurity and Coding Capabilities

    On October 28, Google released Gemini 4 Carbon, calling it its most powerful AI model to date, with a focus on improving cybersecurity and coding capabilities; it can identify software vulnerabilities, assess security risks, and generate remediation code. The model scored 88.2% on SEC-bench Pro, 54.8% on ExploitGym, and 71.0% on CWE-bench, and Google says these external security evaluations were run without guardrails. Carbon builds on Gemini 4 Argon, released two weeks earlier, and is initially available only to select cybersecurity defenders and trusted partners in the Fairwind Program, with no public access date announced yet; introductory pricing is $2 per million input tokens and $10 per million output tokens, rising to $4 and $20 afterward.

    On October 28, Google released Gemini 4 Carbon, calling it its most powerful AI model to date, with a focus on improving cybersecurity and coding capabilities; it can identify software vulnerabilities, assess security risks, and generate remediation code. The model scored 88.2% on SEC-bench Pro, 54.8% on ExploitGym, and 71.0% on CWE-bench, and Google says these external security evaluations were run without guardrails. Carbon builds on Gemini 4 Argon, released two weeks earlier, and is initially

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Friday

  1. A Yi AI Notes

    Google Notebook now includes hundreds of university textbooks for free

    Google's Notebook now offers hundreds of textbooks for free; students can browse, select, and upload them directly as knowledge base sources for exam-prep questions. Partner publishers include S Chand Publishing, OpenStax, and Open Textbook Library. The news was posted by the official Gemini Notebook account; blogger A Yi shared and commented that this could disrupt educational publishing and exam-prep tutoring.

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  2. Rohan Paul

    Google DeepMind: Training models to write moral arguments makes them more decisive but does not improve judgment

    A new Google DeepMind paper found that after training Gemma-4 4B with reinforcement learning to write moral arguments, the proportion of cases where the model changed its answer on ambiguous MoralChoice cases due to a swap in option order dropped from 14.3% to 6.6%, but the proportion of sycophantic agreement with users only changed from 45.3% to 44.0%, and accuracy on moral fable questions actually fell from 56.5% to 53.4%. The paper recommends that when evaluating advice or judgment tasks, consistency and correctness be tested separately.

    A new Google DeepMind paper found that after training Gemma-4 4B with reinforcement learning to write moral arguments, the proportion of cases where the model changed its answer on ambiguous MoralChoice cases due to a swap in option order dropped from 14.3% to 6.6%, but the proportion of sycophantic agreement with users only changed from 45.3% to 44.0%, and accuracy on moral fable questions actually fell from 56.5% to 53.4%. The paper recommends that when evaluating advice or judgment tasks, con

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  3. Testing Catalog

    Google shuts down the Jules AI agent, with related capabilities to be merged into Antigravity

    Google's Jules agent will be gradually shut down, and the experience and planned features of its asynchronous coding agent will be merged into Antigravity. Jules officially stated that after the integration, users will gain both autonomous remote background task execution and an agent-first development environment. TestingCatalog also mentioned that traces of a new Chief of Staff agent have appeared in Antigravity.

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  4. Rohan Paul

    Google DeepMind paper proposes measuring AGI's economic impact using two thresholds: competence and coordination

    Google DeepMind has released the paper "The Economics of Intelligence," proposing the use of two thresholds—competence (single-task capability) and coordination (agent collaboration capability)—to characterize AGI's impact on the economy. The authors argue that AI has already shown changes in leaner startups, flatter organizational structures, and slower hiring for some entry-level positions, but that mass unemployment has not yet occurred; most benchmarks test only a single model, whereas firms compete as teams. The paper also cites a 100-person test in which groups paired for complementarity outperformed randomly paired groups by 32%, showing that AI models sharing the same weaknesses may lose to well-coordinated human teams even if they beat every individual one-on-one.

    Google DeepMind has released the paper "The Economics of Intelligence," proposing the use of two thresholds—competence (single-task capability) and coordination (agent collaboration capability)—to characterize AGI's impact on the economy. The authors argue that AI has already shown changes in leaner startups, flatter organizational structures, and slower hiring for some entry-level positions, but that mass unemployment has not yet occurred; most benchmarks test only a single model, whereas firms

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Wednesday

  1. gihyo.jp

    Google open-sources the Elephant-Goldfish Model plugin, letting AI separately handle the writing and verification of design documents

    On October 22, 2026, Google announced the open-sourcing of the Elephant-Goldfish Model (EGM) plugin, which pairs Elephant, responsible for conversing with users and writing design documents, with Goldfish, which independently verifies the documents without inheriting the conversation history, to identify ambiguities and omissions in specifications. The plugin was first developed internally at Google for software engineers, and it is said that thousands of employees already use it daily to develop production code; the repository uses the Apache 2.0 license. The first tagged version, v0.1.0, was released on October 27, containing a total of 7 skills. The README provides installation methods for Antigravity, Claude Code, and Codex, but the release notes state that verification across runtime environments has not yet been completed, so it cannot yet be called a stable version.

    On October 22, 2026, Google announced the open-sourcing of the Elephant-Goldfish Model (EGM) plugin, which pairs Elephant, responsible for conversing with users and writing design documents, with Goldfish, which independently verifies the documents without inheriting the conversation history, to identify ambiguities and omissions in specifications. The plugin was first developed internally at Google for software engineers, and it is said that thousands of employees already use it daily to develo

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