I think you mean "sandbox" like what is in the Codex TUI. Parent poster meant a VM or container (or bubblewrap/firejail) that doesn't let the agent to edit files outside of specific paths or run dangerous commands, so you can turn the whole confirmation off.
I like the fast releases. 6.1 coming so fast after 6.0 means they found some improvement solid enough for a new rollout.
The only time I remember the newest model making an obvious regression was when the first rolled out MoE. Super speed update but each request had less intelligence at hand. We’re way past that now
Did they find this improvement within the week? If so, given all their whinging about safety, it seems irresponsible to only test the improved model for less than a week.
Did they find the improvement more than a week ago? If so, why bother releasing GPT 6 if they knew they had a better version essentially ready to go?
They probably have 6.2 just about ready, while 7 and 8 are still being cooked up. You can work on multiple releases in parallel.
We're just getting the latest training checkpoints constantly, just to edge out the other lab, while they are trying to come up with something worthy of a new major version number. It's actually worrying, since there's so much pressure to release now.
I'm not convinced. Pipelining doesn't mean they're forced to release a model they know will be replaced in a week.
>We're just getting the latest training checkpoints constantly, just to edge out the other lab, while they are trying to come up with something worthy of a new major version number. It's actually worrying, since there's so much pressure to release now.
This makes me think that this is on purpose to prop up the "we have no control over ourselves, please give us a regulatory moat" narrative. The competition is nowhere near extreme enough to justify weekly releases. The Chinese models are still a handful of months behind the frontier, and the frontier companies in the West haven't been pushing the frontier at this rate.
I had no idea Thinking Machine was a brand! I just thought they were "thinking machine super computers" another way of saying "artificial intelligence super computers" or "machine learning" (dunno if ML was around then :shrug:)
What a gem of an article. I don't know physics, I use computer for my work and nothing beyond, but reading about the mindset of an actual scientist is really interesting.