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AI Alignment Forum
Deployment Awareness Matters More Than Evaluation Awareness — AI Alignment Forum
The Case for Model Forensics — AI Alignment Forum
LLM-Driven Feature Discovery — AI Alignment Forum
How transparent is DiffusionGemma (and why it matters) — AI Alignment Forum
GDM AI Control Roadmap — AI Alignment Forum
Synthetic document finetuning for instilling positive traits — AI Alignment Forum
Why Do Naive SFT Filters For Safety Properties Fail? — AI Alignment Forum
SFT Drives Gemini’s Safety Properties — AI Alignment Forum
Building and evaluating model diffing agents — AI Alignment Forum
Sympathy for both sides of the egregious misalignment debate — AI Alignment Forum
Models May Behave Worse When Eval Aware — AI Alignment Forum
Sequent: scale and automation for higher confidence in alignment — AI Alignment Forum
Tracing Eval-Awareness Emergence Through Training of OLMo 3 — AI Alignment Forum
A Mike's-Eye View of ARC's Research — AI Alignment Forum
Efficient tradeoffs and the safety-usefulness tradeoff model — AI Alignment Forum
Can activation verbalizers surface an internal chain of thought? — AI Alignment Forum
My research: a computational cognitive neuroscience perspective on alignment — AI Alignment Forum
Announcing the ARC White-Box Estimation Challenge — AI Alignment Forum
Testing Gemini models for scheming tendencies
Advice for making robust-to-training model organisms
Eval Cooperativeness May Be a Scalable Mitigation for Eval Gaming
Full automation of AI R&D probably yields a large speed up even without a software-only singularity
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Mechanistic estimation for expectations of random products
The safe-to-dangerous shift is a fundamental problem for eval realism; but also for measuring awareness
Empowerment, corrigibility, etc. are simple abstractions (of a messed-up ontology)
Predicting LLM Safety Before Release by Simulating Deployment — AI Alignment Forum
Tomek Korbak
·
2026-06-17
·
via
AI Alignment Forum
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