Robotics benchmarking obsession criticized: ranking models before we know what exams should test
paigeinsf · x · 2026-10-24
A contrarian take on the current obsession with benchmarking robotics models (VLAs, world models, LLM-based policies):
- Rigorous evals are essential for discovering capabilities, identifying gaps, and guiding model improvement
- But public benchmarks should ultimately help people understand which models work for which real-world tasks, not just produce leaderboard rankings
- Robotics is still at a stage where hands-on experimentation, data collection, and fine-tuning may matter more than optimizing for benchmark scores
The author's analogy: it's like publishing class rankings before we've figured out what the exams should test.
Related event: Robotics practitioner: public VLA leaderboards are premature(2 posts)→
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