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>“tens of thousands of GPUs.” I find the focus on GPUs a little odd. I would have thought that at 5 billion / 4 year scale ASIC route would be the way to go GPUs presumably come with a lot of unneeded stuff to play crysis etc
There are AI / datacenter focused GPUs (like the A100, H100 etc.). They do not have any graphics rendering circuitry.
4 years ?!? That’s like a century in AI-dog years. Who knows how the world will be by then.
Is it? I think the recent release of ChatGPT has skewed perceptions. There's no guarantee that there's going to continue to be as ground breaking shifts that have happened recently with llms and diffusion models. To continue with the popular comparison, there were a lot of apps when the iphone first launced the app store before it tapered off. If you looked at just the first year, you'd think we'd have an app for eve…
Earlier quoted context omitted.
I think I’ve used it so much that a sentence in I assumed it was ChatGPT. It has a certain way of speaking.
Yes, very recognisable, too polite and servicial for any real human
So Anthropic is the Google-supported equivalent of OpenAI? Isn't the founder going to run into the same issues as before (commercialization at OpenAI)? How does Google not use Anthropic as either something commercial or nice marketing material for its AI offerings?
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I think I’ve used it so much that a sentence in I assumed it was ChatGPT. It has a certain way of speaking.
AI models are in a race to the bottom and everybody inside Anthropic knows it. Besides OpenAI, with billions to spend plus a partnership with MS, there's also Google, Apple, Meta and Amazon who can afford to run losses on AI for years without blinking an eye. And if that wasn't enough the Open Source world is releasing new models almost weekly now, for free. Anthropic is putting on a big show to convince gullible inv…
If we get more unexpected emergent abilities by scaling the model further, things could get very interesting indeed.
>“tens of thousands of GPUs.” I find the focus on GPUs a little odd. I would have thought that at 5 billion / 4 year scale ASIC route would be the way to go GPUs presumably come with a lot of unneeded stuff to play crysis etc
the GPUs these guys would be using are not the same ones you are using to play crysis, we're talking more about this kind of purpose-built thing: https://www.nvidia.com/en-us/data-center/a100/ It's become more of a term for highly parallel processor units in general, one which NVidia encourages because it ties their product offering together
Now that's some well executed FoMO. What a load of bull**.
>“tens of thousands of GPUs.” I find the focus on GPUs a little odd. I would have thought that at 5 billion / 4 year scale ASIC route would be the way to go GPUs presumably come with a lot of unneeded stuff to play crysis etc
the GPUs these guys would be using are not the same ones you are using to play crysis, we're talking more about this kind of purpose-built thing: https://www.nvidia.com/en-us/data-center/a100/ It's become more of a term for highly parallel processor units in general, one which NVidia encourages because it ties their product offering together