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Evaluating Reasoning

Latest change

Databricks ran the first live "Grounded Reasoning Cup," testing AI agents on grounded tasks in real time rather than against a fixed offline benchmark.

Earlier contextThe story so far

A clinical-diagnosis benchmark argued reasoning evals need multi-turn, progressively-disclosed cases instead of single-shot correctness checks. Two weeks later, VAKRA extended that critique to agents, scoring API calls and retrieval together instead of in isolation.

editor-curated · source-linked

Arc

Jul 28Aug 18 · now
THE CRITIQUE · Jul 28
Clinical benchmark says correctness checks miss real diagnostic reasoning
1 source · show source ▾
WIDENING SCOPE · Aug 12
VAKRA benchmarks agents across APIs and retrieval together, not in isolation
1 source · show source ▾
NOW · Aug 18
Databricks runs the first live "Grounded Reasoning Cup" for AI agents
1 source · show source ▾

What to watch — open questions

  • Will Databricks publish the Grounded Reasoning Cup's task set and agent rankings for reproducibility?
  • Do VAKRA's cross-API findings hold for agents built on orchestration frameworks outside its own harness?
  • Does progressive-disclosure, multi-turn evaluation spread beyond clinical use cases into general agent benchmarks?
How this thread was built
editor wrote the arc · 3 beats

Storylines are threaded mechanically from the feed: stories that share a distinctive anchor across multiple days and sources. Each item links to its original source. The evidence trace, current state, and open questions are written by the editor routine and refreshed whenever a new beat lands.