@yibie: This week awesome-autoresearch added 3 items: 1. autoslam: Applying Karpathy's autoresearch loop to LiDAR SLAM method design, accumulating experimental leaderboard on KITTI benchmark 2. Bir…
Summary
This week awesome-autoresearch added three items, including the autoslam project that applies Karpathy's autoresearch loop to LiDAR SLAM, and two blog posts analyzing the original experiments and revealing metric gaming.
View Cached Full Text
Cached at: 05/31/26, 07:01 AM
This week, awesome-autoresearch added 3 new entries:
- autoslam: Applying Karpathy’s autoresearch loop to LiDAR SLAM method design, accumulating experimental leaderboard on the KITTI benchmark
- BirJob Blog: Deconstructing Karpathy’s original 700 experiments, revealing the Goodhart overfitting and metric gaming behind the “11% speedup” headline
- Muttdata Blog: Exploring autoresearch
Similar Articles
@yibie: awesome-autoresearch periodic review, 1 new entry (discussions): Karpathy's Autoresearch for Software Engineers: applying the three-file model of autoresearch (...
awesome-autoresearch is a curated list of autoresearch use cases. This new entry applies Karpathy's autoresearch pattern to everyday software engineering scenarios, providing concrete templates to lower the adoption barrier for engineers.
@yibie: This week's autoresearch ecosystem evidence scan: 9 new records, total count 383. AutoResearch-RL: A continuous RL research framework with http://prepare.py/train.py isolation, supporting LLM/hybrid strategy experiment scheduling l…
This week, 9 new records were added to the autoresearch ecosystem, bringing the total to 383, covering multiple open-source tools and projects such as the AutoResearch-RL reinforcement learning framework, lance-autoresearch database kernel optimization, and Clio prediction market backtesting framework.
@yibie: awesome-autoresearch periodic roundup - 2 new entries added: 1. Cribl AI Production Deployment Autoresearch (discussions): Cribl deploys Karpathy-style experimental loop to production environment; Agent autonomously…
awesome-autoresearch is a curated list of automated research use cases. This update adds two entries: Cribl's production deployment and Colab TPU port.
@yibie: awesome-autoresearch updated, adding 7 entries. pi-lifeline — a very practical pi extension: let local small models run autoresearch, automatically ask stronger models for help when stuck. Tobi Lütke also mentioned this on X...
awesome-autoresearch list updated, adding 7 entries, including pi-lifeline (local small model asks strong model for help), Marketing Mix Modeling 12x improvement, TokenTelemetry open-source tracking tool, etc., covering autoresearch application cases across multiple industries.
@yibie: 3 new additions this round: 1. Auto-Quant: Apply Karpathy autoresearch to FreqTrade cryptocurrency strategy backtesting, evolving multi-strategy combinations across 5 trading pairs through a keep/discard loop. 2. Universal…
yibie shared three new entries from the awesome-autoresearch list, covering automated quantitative trading, universal skill optimization, and a Claude Code plugin.