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How long can your skills be before your agent forgets what you told it? — Laurie Voss, Arize AI

Source
youtube.com
Author
AI Engineer
Date

Context

The IFScale tests a narrow form of instruction following: ask a model to write a business report containing specified words, then count which words appear. A conference presentation reports that newer models cleared the earlier 500-word test, requiring much longer lists to expose failures.

This measures exact-word inclusion, so it cannot establish a universal maximum length for an 's skills file, where instructions may depend on meaning or conflict with one another. The reported failures also differed: some models omitted requirements, while others refused or exhausted their answer budget. A larger capacity for requirements still leaves the separate job of checking the resulting output.

Terms in this piece · Glossary
  • benchmark — A standard public test set for comparing AI models — the shared scoreboards behind every "model X beats model Y" claim.
  • AI agent — An AI system that doesn't just answer once but works toward a goal in a loop — taking actions, reading the results, and deciding what to do next.
Chapters
  • 0:00The 200 instruction ceiling and where it came from
  • 1:49Not knowing whether it followed your rules
  • 2:58How the IFScale benchmark works
  • 4:19Replicating last year's result
  • 6:12Pointing the same test at current models
  • 7:07The headline, a tenfold jump in a year
  • 9:01Four models, four different ways to fail
  • 14:27What this changes in your workflow
  • 16:29Caveats, and what the test does not prove
  • 19:32Capacity went up, reliability did not
  • 21:06Compression solved, verification remains
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