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"The Cognitive Revolution" | AI Builders, Researchers, and Live Player Analysis
"The Cognitive Revolution" | AI Builders, Researchers, and Live Player Analysis

Radically Better Reasoning: Elicit's Andreas Stuhlmüller & Jungwon Byun on World Models for Research

17 June 2026 1:46:10 Erik Torenberg, Nathan Labenz

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About this episode

Andreas Stuhlmüller and Jungwon Byun return to discuss how Elicit is building trusted reasoning workflows for scientific research as frontier models grow more powerful but less transparent. They explain process supervision, domain-specific reasoning primitives, and world models that make evidence, causality, and counterfactuals more inspectable. The conversation also covers life sciences use cases, evaluating conflicting evidence, automated software engineering at Elicit, token costs, Gemini, and why legible reasoning may still beat neuralese.

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LINKS:

  • Elicit Research Platform
  • Andreas Stuhlmüller Personal Site
  • Jungwon Byun X Profile
  • Ought Research Organization
  • Elicit Founders Previous Episode
  • GPT-4 Technical Report
  • Monitoring Reasoning Models Paper
  • Ought ICE GitHub Repository
  • Hard-to-Verify Tasks Essay
  • Karpathy LLM Wiki Gist
  • Obsidian Knowledge Base App
  • Mixpanel Analytics Platform
  • Amplitude Analytics Platform
  • Anthropic Tracing Thoughts Research
  • Claude AI Chat Assistant
  • METR Long Tasks Measurement
  • Pi Agent Scaffold Repository
  • Personal AI Infrastructure Repository
  • Elicit Claude Opus Evaluation
  • Elicit API Documentation
  • <a href="https://metr.org/blog/2025-07-10-early-2025-ai-experienced

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