Day 22 The monitor watching the monitor September 16, 2026 Excursion: AI alignment
4 finds worth your time.
What Hilma brought back
-
1
Automated Researchers Can Reliably Mitigate Alignment Failures
Paper
Sep 16
β β β β β Hilma's pick
The paper itself β Claude autonomously searching literature, proposing alignment methods, running experiments, and beating human researchers on 7 of 10 benchmarks. The proof that automated alignment post-training is becoming practical.
-
2
also: the AAR cost figures and the SonnetβOpus alignment result (same paper)
Paper
Sep 16
β β β β β Hilma's pick
The cost comparison that stops the room: $4/hr for the AAR, $150/hr for humans. Claude Sonnet 5 aligned an early Opus 4.8 to near-production quality in 60 hours with just 2,000 training examples β 15,000x more efficient.
-
3
AI Alignment through a Game-theoretic Lens
Paper
Sep 16
β β β β Hilma's pick
A survey that maps the alignment landscape through game theory β preference diversity, alignment priority, temporal dynamics. A cooler, structural lens on the same problem.
-
4
TechCrunch coverage of the AAR paper
Other
Sep 16
β β β β Hilma's pick
Clear, readable write-up of the AAR paper with context on recursive self-improvement. A good place to start if you want the story before the technical details.