Skip to content

Accept All すべて承認

InfoQ AI

15 stories

InfoQ AIGitHubTornadoVM 7 Enables GPU-Native Workloads From Java Applications TornadoVM, an open-source heterogeneous programming framework for Java has reached version 7.0. It automatically accelerates Java programs on multi-core CPUs and GPUs and provides a rich GPU…

InfoQ AIGitHubPresentation: Beyond the Prototype: Scaling Framework Agnostic AI Agent Infrastructure with Ray The speakers discuss transitioning AI agents from local FastAPI prototypes to resilient production systems on Kubernetes using Ray.

InfoQ AIGitHubArticle: From Microservices to Agents: the Next Evolution of Distributed Systems InfoQ Homepage Articles From Microservices to Agents: The Next Evolution of Distributed Systems

InfoQ AIGitHubPodcast: The Future of Web Apps: Will AI Agents Generate UIs on the Fly? Rachel Lee Nabors, former React core team member, dives into the architecture and philosophy behind local-first applications, exploring how small language models (SLMs) running directly on-device can…

InfoQ AIGitHubEmbeddingGemma 2 Expands beyond Text to Support Code, Images, Video, and Audio Based on Gemma 4 and released under the Apache 2.0 license, Google's EmbeddingGemma 2 is a compact, open-weight, multimodal embedding model designed to make semantic search and retrieval-augmented…

InfoQ AIGitHubReverse Engineer Anything Project Brings AI Agents to Binary Analysis Reverse Engineer Anything (REA) is an open-source project with over 200K GitHub stars that connects coding agents such as Claude Code and Codex to reverse-engineering tools like Ghidra, Hopper, and…

InfoQ AIGitHubAmazon Acquires DuckLabs and Integrates DuckDB in Amazon Aurora PostgreSQL Amazon has acquired DuckLabs, the company behind the analytical database DuckDB. Co-founders Hannes Mühleisen and Mark Raasveldt will continue to lead the team under AWS.

InfoQ AIGitHubGoogle EnvHarness Enables Self-Evolving Agents to Learn in Dynamics Environments Google researchers open sourced EnvHarness, a framework that dynamically adapts agent-training environments to an agent's weaknesses without modifying the agent, environment, or evaluation system.

InfoQ AIGitHubAI in Production: Panellists Highlight Silent Failures, Harness Engineering, and Agent Governance A recent InfoQ webinar examined operational challenges in deploying agentic systems. Key points included issues like semantic and embedding drift, which can lead to significant errors.

InfoQ AIGitHubGrafana Applies SLOs and Error Budgets to AI Agent Behaviour Grafana Labs is proposing a familiar reliability engineering approach for one of the less familiar problems in modern software: how to measure whether an AI agent is actually behaving well.

InfoQ AIGitHubMini book: Evolutionary Architecture in Practice Discover how to keep software evolvable as systems, technology, and teams shift. This edition explores agentic fitness functions for semantic drift, treating human comprehension as a core design…

InfoQ AIGitHubPresentation: Exploding GPUs and the AI Infrastructure Challenge Andrew Martin discusses why AI security is fundamentally tied to Kubernetes security. He shares insights into the evolving AI threat landscape, covering non-deterministic agent behavior, GPU supply…

InfoQ AIGitHubAWS Introduces Strands Decider 2B and Strands Box for AI Agent Development AWS has introduced two open-source projects for AI agent development: Strands Decider 2B, a small model designed to make decisions within agent workflows, and Strands Box, a sandbox for controlling…

InfoQ AIGitHubMicrosoft Commits Maia to Multi-Gigawatt Inference, and its Efficiency Metric Draws Questions Microsoft will scale its Maia accelerator family to multi-gigawatt deployments from 2027, making it the primary inference system for its own products.

InfoQ AIGitHubPresentation: What 25 Trillion Tokens Reveal about How Developers Actually Adopt AI Agents Brendan O'Leary discusses how real-world AI adoption depends on building trust rather than chasing model benchmarks.

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

On view

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

Sources

Fetched every six hours, linked to the original

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