I came across a paper on harness learning that got me thinking about something we don’t discuss enough in enterprise AI. We spend a lot of time worrying about what agents are allowed to do. What happens when they can also change how they do it? The researchers train a model, called a proposer, toContinue reading “Harness Learning: Who Gives the Proposer Permission?”
Author Archives: Vijay Vijayasankar
Hyperautomation Doesn’t Need Superintelligence
I’m increasingly skeptical of the assumption that progress in AI reasoning puts us on a path to superintelligence. The expectation of far more powerful AI isn’t imaginary. In his October 2024 essay Machines of Loving Grace, Anthropic’s Dario Amodei described the possibility of a “country of geniuses in a datacenter.” He thought such powerful AIContinue reading “Hyperautomation Doesn’t Need Superintelligence”
Your AI Safety Score May Be Measuring the Test, Too
Every few months, an AI safety result appears that sounds unsettling. A model realizes it is being evaluated, figures out what the evaluator is looking for, and sometimes behaves differently. The obvious leap is that the model is self-aware, or worse, pretending to behave until the test is over. I don’t think the evidence getsContinue reading “Your AI Safety Score May Be Measuring the Test, Too”