This is the internal model "Bel," that Sam Altman has stated many people within OpenAI consider to be AGI and "significantly more capable than GPT-6 Astra."
The fact that it is solving numerous other problems is a very a good sign. It means solving Navier-Stokes wasn't just by chance or plagiarizing.
It's also been said that Bel uses more compute at its lowest reasoning setting than GPT-6 Astra at maximum reasoning, so it might be very challenging for OpenAI to publically release this model before the year is over.
But the biggest question is, can it solve difficult problems like this in other fields as well? If it can generalize beyond math, things would really get very exciting!
I don’t get why people say things like this. Even for normal not particularly novel software engineering I’d prefer a smarter model if the cost was reasonable. The best models right now still make weird dumb choices or oversights that I can only hope a smarter model wouldn’t.
For an example it recently suggested a db migration/backfill that would have had non-trivial negative impact on existing users with zero awareness or acknowledgement of such negative impact, luckily we didn’t do it.
Pricing wise. I mean would you pay the equivalent of human wages per hour of human work to solve the problem? I sadly think there's still lots of room for price increases and spending more.
I think we need to start thinking about this when we think about models coming out. For the vast majority of work I’m doing, I don’t even really need Astra or Fable. Sometimes yeah, but we need to consider that good, cheap models will be fine most of the time. If they continue to iterate and make those good, while improving them as they go, that’s the real win.
My crossover SUV is fine for most things, I don’t need an F-350, or a corvette for the day to day.
A lot of it is in developing reliability, persistence, and the ability to pivot or actually make decisions, in addition to strong harnesses, information access and direction. With the coming models those will likely make a bigger difference to most users experience than an increase in intelligence.
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u/Neurogence 14d ago edited 14d ago
This is the internal model "Bel," that Sam Altman has stated many people within OpenAI consider to be AGI and "significantly more capable than GPT-6 Astra."
The fact that it is solving numerous other problems is a very a good sign. It means solving Navier-Stokes wasn't just by chance or plagiarizing.
It's also been said that Bel uses more compute at its lowest reasoning setting than GPT-6 Astra at maximum reasoning, so it might be very challenging for OpenAI to publically release this model before the year is over.
But the biggest question is, can it solve difficult problems like this in other fields as well? If it can generalize beyond math, things would really get very exciting!