System logs generated by globally distributed microservices often hide subtle degradations (like memory thrashing or systemic ...
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Yu Cui 1 · Bosen Zhao 2 · Xufeng Zhang 1 · Hong He 3 · Ruiqing Yue 4,5 Sicheng Pan 1 · Zhuoyu Sun 1 · Yifei Liu 1 · Ting Li 6 · Wenzhuo Zhu 6 Baohan Huang 1 · Haibin Zhan ...
Tsinghua’s HarnessPro cuts AI coding agent costs 26% while boosting accuracy without model retraining. Factory Droid 1.0 ...
Build a Cursor SDK agent in TypeScript with token budgets, a read-only toolset, cloud PR fixes and GitHub Actions. 12 steps, ...
Gitleaks tutorial: scan git history, block secrets with a pre-commit hook and gate pull requests in GitHub Actions. 12 steps, ...
Learn how to get started with the OpenRouter API to call multiple AI models through one API, compare responses, switch models ...
The previous version was 0.13.5.Peak memory usage has been reduced for large workspaces and projects.A bug where directories ...
Google Harness 2 enables AI agents to dynamically adapt workflows without training. Smaller models can outperform larger ones using on-demand skills.
It started with the recurrence relation function on the Casio FX-GC100 graphing calculatorSince a recurrence relation is equivalent to a simple recursive function, I wondered if I could play around ...
Ricursive Intelligence founders Anna Goldie and Azalia Mirhoseini believe more efficient AI chip design could help solve the compute crisis. The founders took the stage at TechCrunch Disrupt on ...
Video-RSI improves video understanding agents by evolving their executable harnesses while keeping model weights frozen. The Editor investigates training failures by revisiting videos, then turns the ...
“Recursive self-improvement” is the idea that artificial intelligence could learn to build and train itself, creating exponential new progress — and risk. Jeff Clune, a computer scientist and ...