AI Safety at the Frontier
Johannes GasteigerBest of AI safety research on frontier models. Obviously, subjective.
| Platform |  | Pricing | Only free issues | Publishes | Monthly |
|---|---|---|---|---|---|
| Issues | 31 | Founded | 2 years ago | Last Issue | 2 months ago |
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aisafetyfrontier.substack.comLatest Issues
Paper Highlights of April 2026
tl;dr
Paper of the month:
UK AISI’s most realistic research-sabotage propensity eval finds zero unprompted sabotage across frontier models. Mythos Preview continues prefilled sabotage 7% of the time with a 65% reasoning–output discrepan...
Paper Highlights of February & March 2026
tl;dr
Paper of the month:
A benchmark of 56 model organisms with hidden behaviors finds that auditing-tool rankings depend heavily on how the organism was trained — and the investigator agent, not the tools, is the bottleneck.
Research...
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...
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Authors
The writers behind this newsletter.
Research scientist working on AI safety & alignment
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