System logs generated by globally distributed microservices often hide subtle degradations (like memory thrashing or systemic ...
"Please improve an AI that is bad at math without additional training."When asked this, we usually think of adding training ...
A Google DeepMind and Stanford study finds simple shapes like a red heart can push AI models such as GPT-5.4 and Claude ...
On November 2, 2026, four researchers including Rikiya Takehi from MIT CSAIL (Computer Science and Artificial Intelligence ...
Article by Shenchao TechFlowNo training required, no data needed, no gradient descent.Researchers at MIT fed the weights of ...
In inference optimization, reward hacking happens when an agent improves its score by exploiting the evaluation without delivering the improvement we actually wanted. This can happen at the kernel ...
GPT-6 Astra edited Qwen’s weights and raised MATH-500 from 7.9% to 48.1% in author-run tests. How weight-space programming works—and its limits.
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, ...
Learn how to get started with the OpenRouter API to call multiple AI models through one API, compare responses, switch models ...
Learn seven design patterns for data science code, from Strategy and Adapter to Command and Proxy, each matched to the ...
OpenHands local setup in 12 steps: run Agent Canvas with Ollama and a local Qwen model in sandboxed Docker, plus a preflight ...
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