Can business incentives drive real progress on hard AI alignment problems?
dhadfieldmenell · x · 2026-08-26
Discusses a critical open question: whether prosaic business incentives for companies to prevent models from disobeying instructions or randomly hacking users will lead to actual progress on hard alignment problems.
The author notes that we are currently failing at simple aspects of alignment before even reaching the "Hard Problems." However, the silver lining is that this creates demand for training algorithms robust to environment/evaluation misspecification, which is essential for solving those hard problems anyway.
More from Safety
- NVIDIA NemoClaw Flaw Allows Poisoning of Local Ollama Models via Webpage — evilsocket · 2026-08-26
- Chinese open-weight AIs closing gap on Mythos-tier cyberattack models — peterwildeford · 2026-08-26
- Google: Nothing Special To Do For Generative AI Responses In Search — lilyraynyc · 2026-08-26
- US Threatened Visas Over Argentine Data Center Deal with Huawei — teortaxesTex · 2026-08-26
- Healthcare AI Platform Eka Care Accused of Using Child Prescription Data Without Consent — prasanna_says · 2026-08-26
- DeepMind Philosopher Discusses Whether Chatbots Are Conscious — dioscuri · 2026-08-26