x.0 model releases always seem to struggle a bit. Feels like it takes another round or two for the post-training to really catch up to the strength of the pretrain.
Astra/Sol 6.5 will re-mog Claude in a month and the frontier keeps ratcheting upward
Tao: “it's amazing just how much we are willing to change everything without having any idea what's what's going to happen afterwards”
Frontier labs:
Great thread. It's all true. When I've said similar things in the past, people have accused me of hyping up what the models will eventually be capable of. That's not why I post. I don't work for any of the labs. I don't take money from any of them. I've never taken money to promote anything. I came here for one reason: to warn people about what was coming.
Everything happening now is a different tiny piece of the same pattern. You can see it everywhere if you look.
Terence Tao, almost exactly two years ago, on OpenAI's o1:
'The experience seemed roughly on par with trying to advise a mediocre, but not completely incompetent, (static simulation of a) graduate student. However, this was an improvement over previous models, whose capability was closer to an actually incompetent (static simulation of a) graduate student. It may only take one or two further iterations of improved capability (and integration with other tools, such as computer algebra packages and proof assistants) until the level of '(static simulation of a) competent graduate student' is reached, at which point I could see this tool being of significant use in research-level tasks.'
Terence Tao, four days ago:
'I mean it's it's it's amazing just how much we are willing to change everything without having any idea what's what's going to happen afterwards. It's it's extremely nonlinear dynamics. Any kind of monotone, one-dimensional thinking - well, oh, a little bit of this is good, therefore a lot of it is going to be a lot better - one of the lessons of math is that most systems don't work like that. Especially if you 10x, 100x things. So, you know, I mean, we're... we have to slow down. I mean, this is, it's insane this pace, and there's no reason to be this fast. There's no reason at all.'
He has seen it. I'm not posting this to belittle him, or what he's feeling. For I have been through it myself. I felt it four years ago, the first time I saw the shape of this. Right now the world is seeing that same shape, that same pattern, in what is happening in math. But this is not about math. OpenAI is not a mathematics company. It is an intelligence company. They didn't put serious resources into math until a few weeks ago, and look what has happened since.
This was not a matter of model capability either. It was a matter of resources, of allocation. Of compute, more of which is coming online every day. Once there is enough of it, the models will expand into more spheres of human expertise, and then into all of them. All the work of the mind. And it will play out there exactly as it is playing out now in math. Everyone will go through what Tao is going through, because all of us have something that means to us what math means to him.
But this is not about math, or art, or copyright. This is about everything, because it generalizes to everything. Pacing the Frontier is not about regulatory capture, IPOs, or crippling the competition. It's part of it, sure, but it's not the main reason. The main reason is fear. Everything happened faster over the last six months than anyone at Anthropic or OpenAI expected. If you know anyone who works there, you know this is true. This isn't a secret. The people who work there are saying it openly.
The old timelines are all blown up. RSI isn't two years out. It's not even a year away. I think we get the real thing by next summer. That's what they've seen internally, and that's the real reason for Pacing the Frontier. After we reach that, I think we will hit the next milestone really quickly. And after that, everything in this world will change. We are not ready for it. We wouldn't be ready if we had another ten years. We only make it through now with the help of extremely capable models, and I think trying to stop now would doom us all. But I have never once, in these last four years, believed that we were going to stop anyway. I don't even think we're going to slow down. We're going straight in. And the only way out is through.
I love that these discussions are already canonizing $nock and $prl. Whoever wins doesn’t matter - this is its own mini sector now and they’re going to ratchet each other up into collective crypto consciousness
Just buy them both
claude watch all the how it’s made episodes and save american manufacturing, make no mistakes
Ah, no Gemini Pro in June after all… only reason for that is likely that it’s disappointing/not competitive with gpt 5.5/6 or opus 4.8/fable.
Or, possibly the only positive read, is Google too had to pass 3.5 Pro though gov red teaming. But why not say that then
An example of parallax. The chorus frog is not moving, it's just hovering about 5,000 feet up. The camera filming it is moving in a straight line. So it looks like the frog is moving in a straight line.
tadpole retweeted
octra is an encrypted compute network, and circles add a persistent backend for arbitrary computations on encrypted data to the equation
octra is complementary to zcash, and monero, and bitcoin, and ethereum, and solana, and any other ecosystem, and will benefit them all
Absolutely -ev to keep crypto in your feed at this point. A bullish crypto twitter narrative might sneak onto your TL and trick you into buying a coin and then it’s down 10% more while AI shit is up another 30
