https://t.co/FIxqT6inoa

Today will go down as some kind of turning point. Somewhat arbitrarily, but it is OK if journalists and historians have to present things in that manner.

I'm proud to have had @JeffDean as my lead at Google for the last 10 years. He is one of the few people of his stature in our industry always willing to stand up and say the obvious. We can't let this administration scare us away from acknowledging the reality we are living in.

So after all these hours talking about AI, in these last five minutes I am going to talk about: Horses. Engines, steam engines, were invented in 1700. And what followed was 200 years of steady improvement, with engines getting 20% better a decade. For the first 120 years of

I was wondering why @jarredsumner went dark the last few weeks

https://t.co/3l5BfBdhKx

Superintelligence for... for... *checks notes* editing stickers on reels?

there is probably a bitter lesson of robotics.. that composable, easy-to-scale things like nanobots are way better than trying to build a humanoid that can do backflips

when ai came to san francisco, it encountered a significant spiritual reawakening. all of a sudden there was this a novel technology, the product of some of the core institutions of silicon valley, that is genuinely miraculous: at this point nobody except those employing highly

Ok they’ve begun

🐐

I promise you that 'openai is secretly not agi-pilled' is a bad take if you believe it, I'd be excited to take the opposite side from you in a wide variety of financial transactions

people don’t get that the skillset to build superintelligence in a domain != being superintelligent yourself in that domain everyone who worked on the IMO models wasn’t IMO level. people who built codex weren’t the world’s best coders. this will become increasingly true.

First we built cities of data centers from the dust, so the models could think Then we built a world for them, so that they could discover

@bryan_johnson Thank you Bryan, may you live forever.

It’s rare for competitors to collaborate. Yet that’s exactly what OpenAI and @AnthropicAI just did—by testing each other’s models with our respective internal safety and alignment evaluations. Today, we’re publishing the results. Frontier AI companies will inevitably compete on

At @OpenAI, we believe that AI can accelerate science and drug discovery. An exciting example is our work with @RetroBiosciences, where a custom model designed improved variants of the Nobel-prize winning Yamanaka proteins. Today we published a closer look at the breakthrough. ⬇️

waterloo interns have been achieved internally

.@lilianweng's blog is still the absolute best around:

something something progress is slowing down