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Google Cloud AILabsHow Nammu21 automates syndicated loans on Google Cloud Universal Ledger The syndicated loan and private credit markets, both critical components of corporate finance, have long been constrained by manual processes, leading to multi-week settlements, valuation opacity…

Google Cloud AILabsIntroducing Physical-Engineering’s Last Exam for agents Authors: Burak Gokturk, VP Research & Development; Rujun Han, Research Scientist; George Lee, Product Manager.

Google Cloud AILabsWhat Google Cloud announced in AI this month Editor’s note : Want to keep up with the latest from Google Cloud? Check back here for a monthly recap of our latest updates, announcements, resources, events, learning opportunities, and more.

Google Cloud AILabsInnovate on your own business terms: Google Cloud spend caps now generally available Today, we’re announcing that spend caps on Google Cloud Budgets are generally available. With this release, we’re delivering ways to protect your workloads from runaway costs without risking resource…

Google Cloud AILabsWhat’s new in AI infrastructure and orchestration in October The Google Cloud AI Infrastructure team had another busy month in October, filled with new product launches and updates to power today’s AI and agentic workloads scalably and efficiently.

Google Cloud AILabsScale agents securely with IAM Helper Agent Skills and MCP Tools As organizations adopt autonomous agents to build applications, securing identities and access has become more challenging.

Google Cloud AILabsGemini Robotics Embodied Reasoning 2 is now available on Google Cloud Earlier this year, we introduced Gemini Robotics 2 — our next-generation intelligence layer enabling robots to think, act, and adapt in the physical world.

Google Cloud AILabsEasy to integrate, compliant by design: Bringing the Swiss Franc to Google Cloud Universal Ledger Every day, countless financial transactions are interrupted by slow, expensive, and inflexible conventional payment systems.

Google Cloud AILabsExpanding Claude availability and deployment choice on Google Cloud Every organization has unique requirements for building and scaling generative AI. At Google Cloud, we are committed to giving developers model choice and architectural flexibility to run workloads…

Google Cloud AILabsGoogle Cloud expands model choice and flexibility, bringing OpenAI models to customers Google Cloud has always been defined by choice, enterprise-grade governance, and market-leading price-performance.

Google Cloud AILabsClaude Opus 5.5 and Claude Sonnet 5.5 are now available in Google Antigravity Whether you are iterating on a quick bug fix or planning a complex migration, different tasks call for different models.

Google Cloud AILabsIntroducing Gemini for government services Earlier this month at Gemini at Work, we introduced the Gemini agent: a single, universal agent for work.

Google Cloud AILabsWho judges the judge? Three helpful ways to audit your LLM evaluators Is your LLM-as-a-judge truly objective? There’s a common misconception in tech that humans are subjective, so we should rely on AI for objective evaluation.

Google Cloud AILabsBuilding full virtual vehicles on Google Cloud: From AAOS to the smallest MCU Imagining traditional gearheads getting their hands on software-defined vehicles is an amusing thought experiment.

Google Cloud AILabsGoogle named a Leader in the 2026 IDC MarketScape for Agentic AI Platforms As organizations work to leverage AI to transform their businesses, it is clear that the raw model intelligence is not the key challenge.

Google Cloud AILabsArchitecting autonomy: A design pattern for high-compute, governed agents in biotech In production systems today, most AI agents operate as lightweight dispatchers. They parse a prompt, make an API call, retrieve a record, and hand back control.

Google Cloud AILabsFour evaluation engineering lessons learned from building agent plugins The real challenge of building an agentic system isn't the construction, it's the measurement. Evaluation engineering is a critical foundation for building reliable AI systems.

Google Cloud AILabsWhat the Gemini agent means for startups Small teams, short runway, and constant pressure to ship faster — it’s the reality we see every day among the founders we work with at Google for Startups.

Google Cloud AILabsHow Visko streams real-time world models on Google Cloud TPUs Editor's note: Generative AI startups are moving rapidly beyond static clip generation to build interactive, real-time worlds.

Google Cloud AILabsPredictable AI spend in BigQuery: Introducing cost management for generative AI functions The generative AI functions in BigQuery ( AI.GENERATE , AI.IF , AI.CLASSIFY , AI.SCORE , and more) bring large language models (LLMs) directly into your SQL, so a single query can classify millions…

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予定 · Conferences and launch events, this week's stories from each corner of the industry, and what its press is covering — in English

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About

The name is the button.

An agent writes the code now, and a human thumb hovers over Accept all a hundred times a day. The honest question of this decade is what, exactly, you just accepted. So I read the diff.

Eight years as a backend engineer in Stockholm, back in Tokyo since 2023, and I still ship something small most nights, usually badly. My one rule: the only real review of a model is the thing you built with it. That is why there is no leaderboard on this site.

Around a hundred and forty sources come through — the labs' own posts, the papers, the tools, the runtimes and languages nobody is watching yet, the chip under the demo, and the newsletters people actually forward. What is moving gets counted so the week reads at a glance, and every few days I explain one mechanism in plain words.

A story here is a headline, a short excerpt, one image and the link to whoever wrote it. We never reproduce the post; the images belong to their authors. A post written in Japanese appears in Japanese, exactly as it was published, and the link goes to the original.

— Yuki Halvorsen, Tokyo