OpenAI Expands Daybreak Cybersecurity Programme ...

OpenAI has decided that the correct response to the age-old question "what could possibly go wrong?" is to expand its Daybreak cybersecurity programme and launch GPT-5.6-Cyber, a "more permissive" model that says "yes" to exploit-chain development. According to the August 10 blog post, this is a specialised version of GPT-5.6 Sol, which presumably is the personality before it learned to stop worrying and love the vulnerability. "Reduce refusals" is the corporate euphemism of the week; in plain English, it means the model will be considerably less squeamish when you ask it how to chain together vulnerabilities into a working attack. What could go wrong? Apart from everything.

One must admire the chutzpah of naming a cyber-defence initiative after a dawn, as if the goal is not merely to fend off attacks but to bathe the information security landscape in a serene and trusting glow. GPT-5.6-Cyber is trained for "advanced dual-use security tasks," which is the polite company phrase for "things that are just as useful for breaking into a system as for patching it." Exploit-chain development, indeed. That is the corporate way of saying "a step-by-step manual for getting past multiple layers of defence with the casual confidence of a gatecrasher holding a pizza box."

There is, no doubt, a great deal of genuine defensive value in vulnerability research, and some of the people doing this work are excellent. But the idea that making a model more permissive in this area is a purely benign act requires a faith in human nature that this column has long since lost. Historically, tools that reduce friction for "dual-use" tasks tend to benefit the attackers first, because attackers have fewer rules, less bureaucracy, and no blog post to write. The Daybreak programme may well start some interesting fires. Let us hope the dawn it ushers in is not one we have to watch from a very, very safe distance.