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20 stories

Google is a Leader in the 2026 Gartner® Magic Quadrant™ for Enterprise AI Assistants

Google Cloud AILabsGoogle is a Leader in the 2026 Gartner® Magic Quadrant™ for Enterprise AI Assistants We are excited to share that Gartner has named Google a Leader in its inaugural 2026 Magic Quadrant for Enterprise AI Assistants . In this comprehensive evaluation of top enterprise AI assistant vendors, Gartner placed G

How Airtel delivered its flawless Indian Premiere League 2026 cricket broadcasts

Google Cloud AILabsHow Airtel delivered its flawless Indian Premiere League 2026 cricket broadcasts For the millions of fervent fans of the Indian Premiere League (IPL), being able to count on a flawless live streaming cricket experience is never up for debate. For Airtel, producing league TV broadcasts with some of th

How KDDI built Buffmee, a faster, reliable consumer RAG app

Google Cloud AILabsHow KDDI built Buffmee, a faster, reliable consumer RAG app When building consumer-facing generative AI applications, balancing high generation quality with fast response times across diverse media types, can be challenging. KDDI, a major telecommunications carrier in Japan, tack

Spanner migrations: Automating dual-write with Antigravity CLI for minimal disruption

Google Cloud AILabsSpanner migrations: Automating dual-write with Antigravity CLI for minimal disruption When Google's Finance Engineering team needed to modernize their legacy data layer, they chose Spanner , a globally distributed, strongly consistent, multi-model database with high availability capabilities. But migratin

Getting started with Mantis, our open-source bug finding-and-fixing harness

Google Cloud AILabsGetting started with Mantis, our open-source bug finding-and-fixing harness AI models have clearly proven their ability to discover and exploit vulnerabilities without much, if any, human assistance. To help defenders gain the advantage with AI, we built the Mantis harness to automate the discov

What Google Cloud announced in AI this month

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. This month, we focused on

What’s new in AI infrastructure and orchestration in August

Google Cloud AILabsWhat’s new in AI infrastructure and orchestration in August Welcome back to What’s new in AI infrastructure and orchestration this month , a collection of product updates, how-tos, customer stories, research and other resources about all the AI compute, networks, storage, framewo

Reimagining work: How Pythian’s internal AI playbook delivers customer ROI

Google Cloud AILabsReimagining work: How Pythian’s internal AI playbook delivers customer ROI When Pythian rolled out Google Cloud’s Gemini Enterprise across our 500-person company in 27 countries, the goal was simple: use our own company as a proving ground to discover how enterprise AI actually delivers ROI. Wh

FinOps for the AI era: New flexible billing and cost controls for agents

Google Cloud AILabsFinOps for the AI era: New flexible billing and cost controls for agents Editor's note: A product image was updated after initial publication. As AI takes on more complex work, business leaders face a new challenge: enabling rapid innovation using agents while protecting their margins and bud

Now introducing Gemini Enterprise for Legal

Google Cloud AILabsNow introducing Gemini Enterprise for Legal Few professions are as exacting as the practice of law. A team reviewing a contract or building a case works inside strictly privileged information, firm-specific playbooks, and a body of law that changes constantly. The

Now introducing Gemini Enterprise for Financial Services

Google Cloud AILabsNow introducing Gemini Enterprise for Financial Services Protecting capital in today's markets requires immense speed and precision. A financial analyst preparing a deal memo works across licensed market data, internal models, and confidential client files. General-purpose AI

Cloud CISO Perspectives: Sticking to security fundamentals in the AI era

Google Cloud AILabsCloud CISO Perspectives: Sticking to security fundamentals in the AI era Welcome to the first Cloud CISO Perspectives for August 2026. Today, Chris Betz explains why the AI era makes it more important than ever to lean into security fundamentals. As with all Cloud CISO Perspectives, the conte

Google Cloud AI

Google Cloud AILabsHow agents can delegate better In any organizational behavior class, students will learn that effective delegation is among the most important skills for a seasoned leader. Getting meaningful work done involves careful coordination, starting with a su

Expanding Google Antigravity for enterprise customers

Google Cloud AILabsExpanding Google Antigravity for enterprise customers Since announcing Google Antigravity in Gemini Enterprise Agent Platform at I/O in May, we’ve heard helpful feedback from our customers. Your developers want easy access to coding agents across surfaces. Your enterprise g

How AlloyDB ScaNN scales vector search to 10 billion vectors

Google Cloud AILabsHow AlloyDB ScaNN scales vector search to 10 billion vectors To satisfy the demands of enterprise-grade agentic AI applications, underlying vector databases often struggle to scale effectively as modern use cases can scale to billions of vectors. As a fully managed PostgreSQL-comp

Google Cloud AI

Google Cloud AILabs10 questions every startup should answer before moving to production with their AI prototype It’s never been easier to start an AI-powered startup on Google Cloud. You grab an API key from Google AI Studio at breakfast, paste it into Antigravity, and by lunch you’ll have a nascent prototype of your product. But

How Box is unlocking multimodal enterprise agents with Gemini Embeddings 2

Google Cloud AILabsHow Box is unlocking multimodal enterprise agents with Gemini Embeddings 2 Enterprise content management is experiencing its biggest architectural shift since the cloud migration era. For years, enterprises have stored trillions of gigabytes of critical data in Box: financial models, clinical t

Building cost-effective, high-throughput gen AI workflows in Google Dataflow

Google Cloud AILabsBuilding cost-effective, high-throughput gen AI workflows in Google Dataflow Real-time streaming pipelines are the operational backbone of modern enterprises, continuously processing everything from customer support interactions to transaction logs. Traditionally, streaming DAGs are static; once

Building operational resilience with agentic AI in financial services

Google Cloud AILabsBuilding operational resilience with agentic AI in financial services For financial institutions, operational resilience has long been embedded in regulatory and supervisory expectations — to say nothing of the high expectations of consumers. With the implementation of the European Union’s

Using BigQuery Graphs with measures for trusted agentic workloads

Google Cloud AILabsUsing BigQuery Graphs with measures for trusted agentic workloads When enterprises transition from using simple chat assistants to autonomous, agentic workloads, they quickly run into a hard truth: Agents are prone to inaccurate insights when working with directly raw tables. BigQuery

On the calendar

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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This week, from that corner the newest stories from the corner of the industry you picked

The wire their own posts, translated

How code moves in 2026 from the industry's own reports

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About

Accept All is a magazine, a radar and a diary about artificial intelligence and the craft of code — read from Tokyo, for people who build.

The name is the button. Code is written by agents now and reviewed by a human thumb that hovers over Accept all a hundred times a day; the whole question of this decade is what, exactly, you just accepted. So we read the diff. A magazine, because every week one model, one tool or one idea is worth reading about slowly. A radar, because we count what the labs, the Valley, GitHub and the chip makers are talking about — releases, agents, open weights, compute, funding, rules — and show it as it moves. A diary, because a seal is set each day in that day's colour, and the days add up.

We read the research labs' own posts, the American and European tech press, the Japanese and Chinese developer sites and the newsletters people actually forward, and bring it together in English and Japanese. Everything here links back to the people who wrote it; the images belong to their authors.

Accept All will keep changing. New sources, new signals, new ways of looking — a little better each week, never finished. If something here made you open a terminal, that is enough.

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