Research
126 stories
Google Developers BlogLabsScaling Agentic RL: High-Throughput Agentic Training with Tunix Tunix is Google’s new JAX-native post-training library designed to eliminate TPU idling bottlenecks when training multi-turn, tool-using LLM reasoning agents. It maximizes hardware throughput by combining highly concurre
InfoQ AIGitHubBeyond Zero: Google Publishes Successor to BeyondCorp In a recent research paper, Google introduced Beyond Zero, a “security model for the AI era” that extends Zero Trust to autonomous AI agents. The new approach moves access decisions from the application level to individu
Simon WillisonVoicesThe Pelican comparison grid for Astra is pretty interesting I got access to GPT-6 Astra this afternoon, so naturally I used it to generate SVGs of pelicans riding bicycles - at low, medium, high, xhigh and max reasoning levels (Astra doesn't support reasoning=none). Then I render
NVIDIA Technical BlogSiliconFrontier Reasoning Reaches the Edge: How to Deploy and Optimize Models on NVIDIA Jetson Running reasoning and agentic AI at the edge has been harder than it needs to be. Until recently, models capable of multi-step reasoning were too large to run...
GitHub BlogGitHubProject HydraFusion: Frontier quality via multi-model orchestration In controlled offline evaluations, HydraFusion’s selective coding workflows matched or exceeded the evaluated Opus 5 baseline while reducing estimated workflow cost. Now available as a research preview in GitHub Copilot.
Stratechery
StratecheryVoicesAn Interview with OpenAI President Greg Brockman About Astra and Alignment An interview with OpenAI President and Co-Founder Greg Brockman about the history of OpenAI, Astra and alignment, and the weight of building the future.
MIT Technology ReviewValleyScaling agentic AI pilots across the enterprise As agentic AI moves from experimentation toward enterprise deployment, the challenge is figuring out how agents can work together, connect to the systems and data they need, and operate safely across the workflows that r
Practical AI
Practical AIVoicesLess about Models; More about Architecture As AI moves from experimentation to enterprise deployment, are organizations thinking too much about models and not enough about architecture? In this episode, Daniel and Chris talk with Chetan Gupta, Chief AI Officer at
Software Engineering Daily
Software Engineering DailyVoicesMoving Beyond RAG with Precomputed Context Retrieval has become one of the central problems in building useful AI systems. The standard approach to grounding a model in one’s own data has been retrieval augmented generation, or RAG, where an agent searches a vect
Two Minute PapersResearchClaude Fable AI Is Much Stranger Than The Headlines Suggest ❤️ Check out Lambda here and sign up for their GPU Cloud: https://lambda.ai/papers 📝 The Claude Fable 5.1 paper is available here: https://www.anthropic.com/claude-fable-and-mythos-5-1 https://www-cdn.anthropic.com/0339e
Hacker News Show
Hacker News ShowGitHubShow HN: FrontierHarness Eval – 9 harness, same model, cost per pass varies 17x
Nature Machine Intelligence
Nature Machine IntelligenceResearchSteering machine reasoning with brain signals Nature Machine Intelligence, Published online: 01 September 2026; doi:10.1038/s42256-026-01302-z Representational alignment can reveal similarities between human brain activity and language models. Work now demonstrates
Two Minute PapersResearchThe Billion Dollar AI Gap Is Collapsing ❤️ Check out Weights & Biases and sign up for a free demo here: https://wandb.me/papers 📝 The paper and Qwen3.8-Flash-Next are available here: https://github.com/QwenLM/Qwen3.8-Flash-Next/blob/main/tech_report.pdf https:
Amazon Science
Amazon ScienceResearchSOP-Bench: A new benchmark for evaluating AI agents on real business procedures Extendable framework enables testing agents on the full set of capabilities required to successfully complete a procedure, not isolated proxy tasks.
Microsoft ResearchResearchMindTopo reveals VLMs’ spatial reasoning abilities A path, a fence, a knot. MindTopo sets a new benchmark for testing how AI understands topological relationships and highlights new opportunities to strengthen spatial reasoning and planning.
Supabase Blog
Supabase BlogToolsAre Supabase docs agent-friendly? We didn't know, so we checked We built an eval for our Row Level Security guide, found agents were granted risky default database access, and fixed the docs until the eval passed.
Last Week in AI
Last Week in AIVoicesLWiAI Podcast #252 - GPT 5.6, Grok 4.5, Nemotron-Labs-Diffusion, AI 2040 GPT-5.6 and Grok 4.5, Meta's Muse Spark 1.1, regulatory developments in AI and data centers, interpretability research from Anthropic, and the future of AI policy with AI 2040
Ahead of AIVoicesControlling Reasoning Effort in LLMs How LLMs Learn Low-, Medium-, and High-Effort Reasoning Modes
The GradientResearchAfter Orthogonality: Virtue-Ethical Agency and AI Alignment Preface This essay argues that rational people don’t have goals, and that rational AIs shouldn’t have goals. Human actions are rational not because we direct them at some final ‘goals,’ but because we align actions to pr
Google Developers BlogLabsHow to use Google microbenchmarks for evaluating TPU performance Google's open-source TPU microbenchmark suite provides developers with granular performance metrics across Network, Compute, HBM, Host Transfer, and Attention components to validate real-world hardware capabilities. By l
Google Developers BlogLabsAgent and Model Evaluations in Gemini Enterprise Agent Platform are now GA Agent Platform's evaluation service is now generally available, providing developers with a unified engine to measure agent quality consistently across local development experiments and live production traffic. You can e
Google Developers BlogLabsScaling real-time AI agents with session-aware load balancing Real-time AI agents break traditional request-response load balancing paradigms because they rely on long-lived, stateful bidirectional streams that obscure true server capacity. To solve this, developers must implement
Google Developers BlogLabsScaling AI Agent Infrastructure with the MCP Stateless updates The 2026-07-28 Model Context Protocol (MCP) specification replaces legacy stateful constraints with a fully stateless core, enabling cloud-native horizontal scaling, serverless deployments, and standard round-robin load
Google Developers BlogLabsHow to Evaluate Live & Voice Agents in ADK Moving live voice agents from demo to production requires rigorous, automated testing to handle the unpredictability of real multi-turn conversations. ADK now provides native live evaluation, allowing developers to test
Nothing matches this filter yet.