The point is wrong, they don't have any claim to having created deep learning and so their perspective can't be used to argue for the reality of "superintelligence". Even if they did create it, the question of whether "superintelligence" is a meaningful concept or not isn't really related to what they would have had to go through in order to make deep learning work.
I don't think you can do this, it will just make things up. Language models don't have this type of reflection. Google would need to indicate this out of band, like on the page itself, in order for you to be confident about what model you're using.
Using 8-bit still runs out of RAM for both the 3B and 7B models. It's unclear if it's because it still uses more than the available RAM, or if it's just quietly not using 8-bit since it's not implemented.
CLIP Interrogator uses BLIP, an image captioning model, as well as trying a bunch of prompts with CLIP. I guess you mean that this model uses the captioning model to generate the complete prompt? Is the code for this one available?
BERT is a simple model that is not capable of answering questions in this manner. For very simple things it might help with that answer box at the top, but that's not what I meant.
It's very different because it will answer the question you asked, rather than answering a question that matches a substring of the question you asked like Google will.
Why do you think this? I don't think there's any reason it would be able to reproduce its own code. It's never seen it so it's not in the weights, and it doesn't have that type of reflection so it can't look it up dynamically.
I wouldn't really say Stable Diffusion marks images as AI-generated. There's a script in the Stable Diffusion repository that will do that, but it's not connected to the model itself in a meaningful way. I use Stable Diffusion a lot and I've never touched this script.
I don't see how it is correct. If you publish to npm, of course you do it the way Node does it, but that's not very interesting. If you publish a module for consumption by Deno, you're publishing TS files, not JS files, and there is no need for .d.ts files.
What do you mean? You can use TypeScript or JavaScript, so .ts or .js extensions.
I think what you are missing is that, if you use TypeScript in Deno, the extension is .ts. What's confusing is the way Node.js+TypeScript does it, which means using TypeScript with .js extensions.
A model of GPT-3's scale is not going to be trained or run on a laptop. OpenAI's restrictions are significant because not many people can run a model that large.
Because it isn't true. There's some money laundering, sure, just like there is in anything that involves money. But if you actually spend time in NFT communities it's not hard to find real people who are spending money either because they like the token, or because they think they can flip it for a higher price later.