The safety teams are trivial expenses for them. They fire the safety team because explicit failure makes them look bad, or because the safety team doesn't go along with a party line and gets labeled disloyal.
There's intrinsic limits to vanilla transformer stacks. Nobody knows where they are. We don't know how unvanilla Opus 4.6 or GPT 5.3 are. We don't know what's in development or which new ideas will pan out. But it will still probably be called an "LLM".
Every time somebody writes an article like this without any dates and without saying which model they used, my guess is that they've simply failed to internalize the idea that "AI" is a moving target; nor understood that they saw a capability level from a fleeting moment of time, rather than an Eternal Verity about the Forever Limits of AI.
It would not surprise me at all for bb7 to exceed Graham's number. Just a Kirby-Paris hydra or a Goodstein sequence gets you to epsilon zero in the fast-growing hierarchy, where Graham is around omega+2.
Thanks to OpenAI for voluntarily sharing these important and valuable statistics. I think these ought to be mandatory government statistics, but until they are or it becomes an industry standard, I will not criticize the first company to helpfully share them, on the basis of what they shared. Incentives.