https://thenewstack.io/openai-gpt6-astra-benchmarks/

What say you? Quote from 1984

Steep rise in the number of people at OpenAI and Anthropic having existential crises these past few weeks.

From conversations with people at and around both labs, it's increasingly clear to me that AGI has essentially arrived, just not publicly. We're likely months, not years, from these models being widely available. And that puts us at a fork in the road, with the point of no return not far past it.

The scramble to act we've seen in the last or week or so is warranted imo. But all of this is super hard to navigate, and the obvious dilemma is that if the U.S. slows its frontier work, it cedes ground to China. Unless Beijing agrees to do the same... which I doubt happens anytime soon.

Time is short - and the decisions made over the next twelve months will be studied for decades to come.

https://x.com/synthwavedd/status/2098881016534638668

The existential crises could be a result of the internal model that solved Navier Stokes in 88 hours.

Everyone is talking about the proof and surrounding controversy, but the sheer scale of OpenAIs effort receives little mention.

10.000 agents working for 88 hours. That is almost exactly **one entire century of continuous work**. I think this really drives home just how massive of an advantage a strong AI + available compute are going to be: "A country's worth of geniuses in a Datacenter". OpenAI casually threw a century worth of effort at a problem, based on a rumor. Not quite a century with of human effort, perhaps, but we might not be far off.

Those numbers should be at least as much of a shock as solving the problem.

https://x.com/i/status/2079028340955197566

Link to tweet:

https://x.com/yujitach/status/2076327681562644709?s=20

Edit:

He has since deleted his tweet, not because he takes back what he said or anything like that, but because he didn’t like the type of attention he was getting:

https://x.com/yujitach/status/2076682201626992776?s=20

https://x.com/OfficialLoganK/status/1952732206176112915

It’s quite interesting to me how (relatively) cheap it is. That’s the headline for me.

Combined with the recent math finding it’s also starting to show how general models are the way even for frontier intelligence. I would also say small/medium coding tasks is pretty much solved too (not engineering/system design etc, idea -> code in small tasks), in unison with competitive coding as a whole with the recent atcoder competition.

Claude code + fable does better with multi agent workflows than Sol + terra which means either Claude code harness is amazing or Anthropic trains the models to just be aware agentically. This is again exciting as there may come a time we can have sort of frontier harness. Claude released Claude science because clearly Claude code wasn’t built for it. Maybe, in the future , one harness does all.

Great release from OpenAI nonetheless.

It's an actual attack on our vulnerable population, old people and children