@eigentopology: Introducing Automode on @thesis_labs! Watch Thesis run autonomous ML research on an Optiver trading dataset Try it toda…
Summary
Thesis Labs launched Automode, a system that autonomously conducts ML research on Optiver’s trading dataset.
Similar Articles
@rohit4verse: Every night you're not running an autonomous research agent, you're hand-running experiments someone else automated mon…
Andrej Karpathy open-sourced an autonomous research agent that runs its own ML experiments overnight using a single GPU, automatically iterating on improvements by editing code and keeping changes that lower validation loss.
@lillian_ma_: Emerging autoresearch labs worth following: @AutoScienceAI (@eliot_cowan) One of the cleanest “AI builds AI” bets: agen…
A Twitter thread highlights emerging autoresearch labs that are building AI systems to automate the full research loop, from hypothesis to experimentation.
@quantscience_: AI Trader 100% fully autonomous trading agent. Available for free:
AI Trader is a fully autonomous trading agent now available for free.
@omarsar0: Karpathy's autoresearch repo started an impressive trend. Agents can now train AI models to build SoTA agentic systems.…
Karpathy's autoresearch repository has sparked a trend where agents train AI models to build state-of-the-art agentic systems, highlighting current limitations in LLM-driven hypothesis generation.
@AlphaSignalAI: Karpathy automated experiments. AutoResearchClaw automated the whole lab. Most AI research tools handle one step. This …
AutoResearchClaw is a GitHub repository that automates the entire AI research pipeline from an idea to a full conference paper with real experiments, verified citations, and working code, outperforming previous autonomous research systems by 54.7% on a 55-topic benchmark.