Box ManipulationIn the history of artificial intelligence and machine learning, the determination of internal parameters ...

Anthropic is developing its artificial intelligence systems around twice as quickly as it was a year ago amid the CEO’s calls ...

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.

New Phase 2 REC-4881 data presented at CGA-IGC in an expanded adult population aged 18 years and older show deep, durable polyp burden ...

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 ...

Google Harness 2 enables AI agents to dynamically adapt workflows without training. Smaller models can outperform larger ones ...

"It's not the snake's fault; this is yet another human error of introducing a non-native animal." ...

When studying programming, you notice something strange.Processes that are extremely complex for humans to think through can sometimes be written surprisingly concisely using functions.A prime example ...

“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 ...