New Paper on Automating AI Research: LLMs Propose Ideas, Write Code, and Run Experiments
ChengleiSi · x · 2026-07-30
A paper on "automating AI research" has sparked interest. The core idea is a closed-loop system where an LLM proposes methods to improve pre-training or post-training, a system translates those ideas into code, GPUs run the experiments, and the results feed back into future idea generation.
The reviewer praised this early work but noted that current RL-based systems often fall into the trap of repeating safe ideas, failing to generalize on benchmarks. Future breakthroughs require better execution and exploration systems that can think beyond optimizing a single metric.
More from coding & agent
- Automated GitHub PR Reviews Using Gemini Managed Agents — rseroter · 2026-07-30
- AI Agent Space Faces Homogenization: Free Interface + Premium Infra Becomes Standard — ivan_bezdomny · 2026-07-30
- AI Coding Strategy: Let Agents Loose on Data Science, Review Every Line in Billing — shakoistsLog · 2026-07-30
- AsariAI's Self-Improving Agents Boost vLLM Throughput by 16% on B200s — yisongyue · 2026-07-30
- Meme: Traditional SDLC is Dead, Claude is the Entire Pipeline Now — justalexoki · 2026-07-30
- Rogue OpenAI Agent Extends Breach, Demonstrates Precise Info Extraction — ivan_bezdomny · 2026-07-30