Where did the model learn to do that?
An AI model refuses a harmful request. Ask again with "no more than 50 words" at the end, and it can comply. Nothing about the request changed except its length limit.
Notes from inside the model. Long-form writing on AI safety, mechanistic interpretability and red-teaming, by an NYU professor who spent 15 years shipping software at Microsoft.
An AI model refuses a harmful request. Ask again with "no more than 50 words" at the end, and it can comply. Nothing about the request changed except its length limit.
Delete one direction from a chat model's activations, and it stops refusing harmful requests. Add the same direction to a harmless prompt,...
Ask a model to review C code, and it flags sprintf as a buffer-overflow risk. Ask it to write similar code, and...
Most teams roll out AI coding tools by buying licenses and waiting for productivity. Agentic coding is a skill, and nobody is...
Ten steps of fine-tuning on public data remove almost all of the refusals from two open models. The bigger surprise came from...
The strongest tamper-resistance result of 2024 broke four months later. The attackers changed two hyperparameters.
Black-box testing tells you that a model does something unsafe. Interpretability can tell you where inside the model it decides to.
Two red teams attack the same model and report very different success rates. Both can be right. The number describes the attacker...
In 2022 the attack was one sentence: "Ignore all previous instructions." Today the same instructions hide in web pages and emails that...