Stanford's Kundaje: interaction-based training proposals underestimate data scale and physical barriers
anshulkundaje · x · 2026-09-09
Responding to a proposal to train on agent/tool-use trajectories instead of text, Anshul Kundaje notes such ideas have been proposed many times, but proponents underestimate the diversity and scale of data required — physical barriers get in the way.
More from Research
- Shanghai AI Lab proposes first systematic taxonomy of cognition-induced AI agent risks — jiqizhixin · 2026-09-09
- Stu-tU: RANSAC scoring that survives 128x scale miscalibration — ducha_aiki · 2026-09-09
- Test-time compute could be 10,000 model instances coordinating on a message board — mertdumenci · 2026-09-09
- Do transformers lose object-like 'seeing' of definitions through training? — MoonL88537 · 2026-09-09
- Marigold V2 retools diffusion transformers for sharper monocular depth estimation — huawei-bayerlab · 2026-09-09
- kornia-rs: Rust Low-Level 3D Vision Library Outperforms OpenCV and NVIDIA VPI — edgarriba · 2026-09-09