AI Safety at the Frontier
Johannes GasteigerBest of AI safety research on frontier models. Obviously, subjective.
| Platform |  | Pricing | Only free issues | Publishes | Monthly |
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| Issues | 29 | Founded | 2 years ago | Last Issue | 4 months ago |
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aisafetyfrontier.substack.comLatest Issues
Paper Highlights of January 2026
tl;dr
Papers of the month:
Activation probes achieve production-ready jailbreak robustness at orders-of-magnitude lower cost than LLM classifiers, with probe-first cascades now deployed at both Anthropic and Google DeepMind.
Research h...
Paper Highlights of December 2025
tl;dr
Paper of the month:
Auditing game shows that sandbagging detection remains difficult—only on-distribution finetuning can reliably remove sandbagging, while detection suffers from false positives.
Research highlights:
- Asynchr...
Paper Highlights of November 2025
tl;dr
Paper of the month:
Reward hacking in production RL can naturally induce broad misalignment including alignment faking and sabotage attempts.
Research highlights:
- Increasing model honesty via finetuning works best but lie de...
Paper Highlights of October 2025
tl;dr
Paper of the month:
Synthetic Document Finetuning creates deep, robust beliefs that withstand adversarial scrutiny, though egregiously false facts still make these beliefs detectable, as do other knowledge editing methods and narr...
Paper Highlights, September '25
tl;dr
Paper of the month:
Deliberative alignment substantially reduces scheming behaviors in reasoning models, but covert actions persist and improvements partly reflect evaluation awareness rather than genuine alignment.
Research high...
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Authors
The writers behind this newsletter.
Research scientist working on AI safety & alignment
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