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OpenAI solving one of the most famous math problems is extremely impressive, and of little impact to most people's lives; Meta's Muse agent launch has the potential to be the exact opposite.
Then there's another possibility which is that it actually already has worked but just the productivity boost isn't as big as would be obvious if people got 10% more productive. That would still be pretty impressive because it's hard to get a 10% across the board uplift.
we tend to describe progress in agents as progress in autonomy: first they could do five minutes of work, then an hour, now we talk seriously about agents running for days. that’s impressive, but autonomy is a capability, not a product direction! the Job To Be Done tells you whether to use it.
Let Over Lambda by Doug Hoyte is perfect for those three people in the world who find The Art of the Metaobject Protocol underwhelming. One of the most impressive books I've read.
Not every plank in his argument is convincing, and the research has evolved since the book first came out a decade ago, but the ambition is impressive and the framework holds up.
I keep an eye on China’s open models, and it’s impressive how quickly they catch up. GLM 4.6 and Kimi K2.1 are strong contenders that slowly reach Sonnet 3.7 quality
I keep an eye on China’s open models, and it’s impressive how quickly they catch up. GLM 4.6 and Kimi K2.1 are strong contenders that slowly reach Sonnet 3.7 quality
You should remember that the best AIs can perform at the level of a very smart person on some tasks, but current models cannot provide miraculous insights beyond human understanding.
It's easy to get impressive-looking results if you're comparing against a poorly-tuned baseline, and that observation turns out to explain a surprising fraction of supposed improvements.
I think it's even more impressive what OpenAI did in 2022. At the time, no one believed in mixture of experts models at Google who had all the researchers. OpenAI had such little compute and they devoted all of their compute for many months, all of it, 100% for many months to GPT-4 with a brand-new architecture with no belief that, "Hey, let me spend a couple of hundred million dollars, which is all of the money I have on this model." That is truly YOLO.
I think things like MuZero and AlphaGo are so much more impressive because these things are playing beyond the highest human level. The language models are writing middle school level essays and people are like, wow, it’s a great essay.
It’s really impressive how Stapledon just casually scatters around handfuls of jewels that lesser authors might belabor singly throughout an entire book.
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