ScholarEvolve uses published research to improve AI agents, raising Qwen's AppWorld task completion from 69% to 81.4% without retraining the model.

By now, you've seen all those posts on Twitter/X, Reddit, and other social media platforms where people have connected their TVs to coding agents and achieved massive performance improvements.

Build your own Apex Legends Season 29 Overclocked tier list with a 12-step Python scoring method covering Axle, patch 29.1, ...

Toying with some HPC workloads on these laptops showed very nice performance still for the Snapdragon X2 Elite Extreme with ...

GPT-6 COBOL migration hits 97.9% behavioral fidelity in OpenAI’s latest benchmark, a 16-fold improvement over prior models, ...

And I kept looking at that dictionary and thinking: nobody is allowed to just use that for compression? TokPress is a ...

OpenAI announced significant performance improvements in its models for programming languages with relatively little code and ...

AI news.OpenAI has announced that its latest models have significantly improved performance in programming languages that ...

With TorchTPU now available as open source on GitHub, you can now train, serve, and deploy models on TPUs using the tools you ...

It may not be enough to just use LLMs to write your code when you can also use them to adjust it while your program runs.

Tencent’s Hy-Memory-30B-A3B is a free open-source mixture-of-experts model claiming Claude Opus 5 parity on AI agent memory ...

Claude Code Review, GitHub Copilot, Cursor Bugbot, Codex, and CodeRabbit compared on bug detection, pricing, and benchmarks ...