Shashwat Goel is an AI Researcher focused on building general, open-ended training environments to improve language models at decision making.
How media typically covers Shashwat Goel
Based on 3 scored articles
Shashwat Goel as author
The METR horizon length plot, which has only 14 samples in the 1-4 hour range where 2025 frontier AI progress occurred, is being overused to make outsized inferences about AGI timelines and research priorities despite insufficient data.
“Author of "How to Game the METR Plot"”
Short-task benchmarks create an illusion of diminishing returns in LLM scaling; marginal gains in single-step accuracy compound into exponential improvements in long-horizon task execution, with larger models demonstrating significantly better execution capability across extended task sequences.
“Author of the research paper on measuring long horizon execution in LLMs”
Small language models appear to succeed on short tasks but fail rapidly on extended multi-step tasks due to execution errors and self-conditioning degradation, while scaling and sequential test-time compute significantly improve long-horizon task completion.
“Co-author of research on long-horizon task execution in language models”