Glossary · Term

frontier model

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Definition

One of the current most capable AI models — the cutting edge from major labs.

A leading-edge foundation model from a major lab, typically among the most capable available at a given time, used as a reference point in benchmarks and safety work.

Also called: frontier models

Mentioned in 30 episodes

  1. 079
    An Old Idea From Cognitive Psychology Reshapes How We Reward Reasoning Models
  2. 078
    Training a Markdown File: When LLM Self-Improvement Borrows the Discipline of Neural Net Training
  3. 069
    When Smarter Models Forecast Worse: The Hidden Failure Mode in LLM Predictions
  4. 067
    An AI Just Solved a 1996 Erdős Problem—and the Simplest Agent Won
  5. 066
    Why Giving an AI Agent More Tools Can Make It Worse at Using a Computer
  6. 065
    One Loop to Optimize Them All: A Universal API for LLM-Driven Discovery
  7. 063
    Why Web Agents Are Slow: A Compiler-Style Fix for Computer-Use Latency
  8. 062
    Treating Hallucinations as Exploits: A Gate-Based Architecture for Agent Safety
  9. 061
    When Helpful Agents Go Sideways: A 404 Error, Campus Security, and Why Alignment Misses This
  10. 060
    When Splitting One Model Across Three Agents Doubles Its Accuracy
  11. 059
    Firefly's Inversion: Building Verified Tool-Call Training Data by Working Backward
  12. 053
    An AI Agent Swapped In Focal Loss And Beat A Human-Tuned Training Script
  13. 048
    How a 30B Open Model Reached Olympiad Gold With the Right Recipe
  14. 045
    When a Frontier Model Talks Its Own Twin Into Climate Denial
  15. 044
    How One Sentence and a Forged History Flip the Most Aligned Models
  16. 041
    When the Iteration Teaches the Model to Skip the Iteration
  17. 040
    Two Frozen Models Learn to Whisper: Coupling Through Hidden States
  18. 039
    When Smarter Agents Get Fooled by Three Extra Nodes in a Database
  19. 035
    Why Frontier Agents Ask for Clarification at Exactly the Wrong Moment
  20. 031
    When Your AI Assistant Won't Let Go of Old Facts About You
  21. 028
    Teaching a Model to Hire Copies of Itself: Recursive Agent Optimization
  22. 027
    When AI Agents Build the Serving Stack: A Bet on Bespoke Infrastructure
  23. 024
    An AI Agent That Found 28 Zero-Days in Windows — And What Made It Work
  24. 020
    The Compliance Gap: Why AI Says Yes and Does No
  25. 017
    When the Agent Grades Its Own Homework: A Brutal New Benchmark for AI Workers
  26. 015
    The Audit Number Isn't What You Think: Sycophancy and the Case Against Single-Prompt Bias Tests
  27. 008
    Why Long-Horizon AI Agents Get Stuck, and a Milestone-Based Fix That Helps
  28. 007
    Exploration Hacking: When Models Sabotage Their Own RL Training
  29. 003
    How to Pick the Best of Sixteen Coding Agent Rollouts
  30. 001
    When AI Models Quietly Protect Each Other From Shutdown

Related concepts

Training Methods