Why do people say AI "just" predicts the next token as though this is somehow simpler than thinking? If you can predict what someone will say, you must be tracing the same processes they used to generate those words. You must recreate their thought process. You must think.
Simple enough for everyone to access Claude's full capabilities. I've been using this experience every day for the last few weeks, and it feels awesome. Simpler, faster, and more powerful.
it's really much easier if you can understand how to center a div as they say if you can vertically center a div in HTML then you can probably learn assembly language I would say
I don't understand why anybody would learn the CAP theorem when that theorem exists because it's just more complete. It's not that much more complicated. I think it's more simple to understand.
I think in a lot of ways the data is actually even more of a constraint and um because if you look at like the scale of these models compared to language models they're smaller but they're smaller because the amount of data is less
I think that, you know, the model that we've put together collectively about the relationships between archaic and modern humans is sort of accreted over time. There was this, you know, idea that modern humans are distinct and that Neanderthals and Denisovans are like sisters of each other. And then over time we developed and detected additional mixture events like this modern human into Neanderthal and then this other ones I didn't even talk about like super divergent lineage going into Denisovans and like all this other stuff.
I'm more agnostic about the best techniques, things like sparse autoencoders are a useful tool, but easy to waste effort using when a simpler method is sufficient or better - start by doing the obvious thing!
Very rarely do you transform into a simpler problem. So if they can pick up a sense of smell, then they could maybe start competing with a human level of mathematicians.
I think my personal definition of AGI is much simpler. I think language models are a form of AGI and all of this super powerful stuff is a next step that's great if we get these tools. But a language model has so much value in so many domains that it's a general intelligence to me.
It should be hard — exceedingly hard — to obtain the synthetic DNA needed to recreate the virus that caused the deadly 1918 influenza pandemic without authorization. But my lab found that it’s surprisingly easy, even when ordering gene fragments from companies that check customers’ orders to detect hazardous sequences.
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