AI 自动化科研终于有了可复现的实例——Recursive 的系统自己写代码、跑实验、拿 SOTA，做 AI 研究的团队值得看看这种“AI 做 AI 研究”的范式是否可行。
Richard Socher 宣布其公司 Recursive 在递归自我改进超级智能（RSI）方向取得里程碑：一个自动化科学发现系统在三个 AI 基准测试（NanoGPT speedrun、NanoChat、Sol-ExecBench）上取得 SOTA 结果。该系统由 AI 自主生成代码和想法，无需人类团队发明，实现了从构思到验证的闭环。Recursive 已开源该系统的发现成果，强调其解决方案是创造性的、良性的，而非危险或简单的优化。这标志着向“尤里卡机器”迈出了第一步，未来可指向任意难题自动产出发明。
This is probably what Fable and Mythos would want to avoid people doing. We'll keep at it.
This is probably what Fable and Mythos would want to avoid people doing. We'll keep at it. Richard Socher @RichardSocher AI is now doing our AI research. At Recursive we set out to build recursive self-improving superintelligence (RSI) to automate knowledge discovery. The best way to expand humanity’s knowledge is through the scientific method. RSI leads to better ideas, explanations and inventions which lead to better RSI. Automating the scientific method requires closing the loop between ideation, implementation and validation, and being able to run it over extended periods of time. Today, we are excited to share the first outputs of Recursive’s automated open-ended discovery system. To be clear, this system is merely a milestone towards RSI, a v0.1 of what I sometimes call the “Eureka Machine”. It is one program that you can point at any hard problem and get useful inventions out. Though it’s still very early, we've run it on three AI tasks and achieved state-of-the-art results on all three. These results demonstrate that even this early version of the system can solve a variety of autoresearch problems in AI and improve over prior state of the art. Concretely, it did this on the community benchmarks NanoGPT speedrun, NanoChat, and NVIDIA's Sol-ExecBench. AI is code and AI can code. The code and ideas that lead to these results were not invented by our team but by the AI system itself. To do RSI safely, we need to investigate its inventions. That's best done transparently with the community. @Recursive_SI we are open-sourcing the system’s discoveries, demonstrating that it finds creative and benign solutions instead of focusing on obvious optimizations or dangerous ideas. Link below. 🔗 View Quoted Tweet 💬 6 🔄 1 ❤️ 27 👀 1545 📊 6 ⚡