Computer use agents (CUAs), which use graphical user interfaces (GUIs) to complete tasks on a computer, have recently surpassed human performance on many standard benchmarks, including difficult long-horizon tasks. Th... Context & related coverage →
We hereby declare September to be scalability month! As the world prepares for a surge of agentic fleets, we are shoring up our AI infrastructure and orchestration offerings to gracefully — and quickly — respond to th... Context & related coverage →
arxiv.org · 2026-09-30 · Ranked: agent match · research watch · fresh 0.92 · score 2.39
When inference demand exceeds available compute capacity, model providers must decide which requests should be served first. Users have different tolerances for delay from an LLM API, but current priority pricing sche... Context & related coverage →
arxiv.org · 2026-09-30 · Ranked: agent + evaluation match · research watch · fresh 0.92 · score 2.36
Large language models (LLMs) are increasingly deployed as automated judges for AI-generated content, yet a single judge is unreliable and even a panel of judges leaves a hard residue: when judges disagree, majority vo... Context & related coverage →
arxiv.org · 2026-09-30 · Ranked: evaluation match · research watch · fresh 0.93 · score 2.33
Physics-constrained generative models aim to generate physical fields that match a target distribution and satisfy prescribed constraints. However, enforcing these constraints often increases sampling costs through it... Context & related coverage →
Patrick Debois discusses how to manage, evaluate, distribute, and observe context using proven software engineering practices. He shares how treating context like code - complete with testing, CI/CD, package managers,... Context & related coverage →
A look at two InfoQ online certification cohorts covering security and privacy decisions in production AI systems and the verification needed when coding agents work in existing codebases. By Artenisa Chatziou Context & related coverage →
arxiv.org · 2026-09-30 · Ranked: agent match · research watch · fresh 0.93 · score 2.12
Training LLM agents with reinforcement learning (RL) is bottlenecked by environments, which must provide verifiable rewards, support long-horizon interaction, and scale cheaply. Existing approaches rely on costly huma... Context & related coverage →
Anthropic released new eval tooling for Claude Code . Their claude-api plugin now includes a new build_eval and hill-climb command that helps you build evals, check the graders, and improve your application against th... Context & related coverage →
apify.com · 2026-10-01 · Ranked: agent match · community signal · fresh 0.98 · score 2.04 · Context
I visited the Museum of the City of New York today and got to see He Built This City: Joe Macken’s Model , the 50 x27 feet model of the city built over a 21 year period from balsa wood and cardboard. It exceeded my al... Context & related coverage →
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