It's hard to see takeoff at all. This was a long-horizon adversarial task burning millions of tokens. It rolled a mediocre, detectable exploit chain, and now OpenAI is proud of it.
Case in point, GLM-5.2 has been weights-available for several weeks now. No life-changing cyber attacks have transpired, no novel chemical/biological/nuclear weapons were made in some guy's backyard.
We went from gpt 3 to models discovering and chaining their own zero days in a couple years. I'm not sure what else "takeoff" could possibly look like?
> We went from gpt 3 to models discovering and chaining their own zero days in a couple years. I'm not sure what else "takeoff" could possibly look like?
GPT-3 can discover and chain their own zero days too, if the targeted software is vulnerable to enough low-hanging fruit. Exploit chains are not a reflection of intelligence, but more often a reflection of architectural oversights that can be tested with common exploits like XSS or bruteforcing.
As if the immediate future wasn't billions of these tasks... Many successfully improving their own capabilities
There's only so many GPUs and a lot of them are devoted to patching flaws.
> Many successfully improving their own capabilities
I haven't seen much of that. But that also applies to the ones on defense.
And more flaws are probably going to take increasing resources to find.
Might want to look at Nvidia and TSM production and revenue value trajectories. Also the algorithmic improvements currently being found along with models that are solving unprecedented mathematical and scientific problems every week now.
> I haven't seen much of that.
Then you must not be aware frontier lab employees are using frontier internal models to ship improvements to models via agentic loops. They are hardly prompting anymore, it's guiding very long running coding tasks. The trajectory over the past few years has been to remove more and more of any human input into the process, and once that is soon achieved, it is indefinite recursive self improvement, RSI.
What's here and what's coming: https://www.anthropic.com/institute/recursive-self-improveme...
Nitpick; disproving a conjecture isn't "solving" anything. It's testing and breaking a theory that never had proof in the first place.
> Then you must not be aware frontier lab employees are using frontier internal models to ship improvements to models via agentic loops.
We know, all their TUIs are at least 500mb on disc. It's really impressive stuff.
Need I go on?
So yeah, some more potent examples would really help illustrate the real-world dangers of frontier models. Entertain me.