With all due respect to lucidrains (whose work is great), this article is clickbait; this is like saying there’s an open-source version of the Empire State Building, which is in fact just the blueprint.
Anyone is free to build it, sure, just bring your own bricks (data) and mortar (FLOPS).
(Those CarperAI and LAION initiatives mentioned at the end sound interesting, but honestly, after all the premature hype for BigScience’s BLOOM and Meta’s OPT and co. which in reality turned out to be a snooze, I’ll reserve my celebrations for when they deliver something that’s actually useful.)
An interesting quote from a very interesting interview:
>We do think that our visual prosthesis work eventually evolves into something mass-market, but it will be a different underlying technology, not the microLED film. [...] we think we see a way to create what ends up as the ultimate AR/VR display technology without meaningful surgery.
And this little snippet sums up neurotech nicely:
>Engineering the brain is really this very transcendent goal if you take it seriously.
Ah, yes, because thus far Google/DeepMind have released all of their advanced models such as LaMDA, PaLM, Imagen, Parti, Chinchilla, Gopher, Flamingo, Sparrow, etc. etc.
>[...] a shift towards secrecy and aggressive competition could significantly hinder the pace of innovation.
Or, you know, competition might lead to transforming (no pun intended) these research artifacts into useful products? Google's Code Red sounds like good news to me as an end-user.
What a nonsense article that seems written with the sole intent to shoehorn an ex-Googler's new startup into a post.
Interesting conversation with Kevin Scott, Microsoft CTO, who’s quite the AI/large language models proponent.
From the article:
> Artificial intelligence systems powered by large language models today are transforming how people work and create, from generating lines of code for software developers to sketches for graphic designers.
> Kevin Scott, Microsoft’s chief technology officer, expects these AI systems to continue to grow in sophistication and scale—from helping address global challenges such as climate change and childhood education to revolutionizing fields from healthcare and law to materials science and science fiction.
> I think with some confidence I can say that 2023 is going to be the most exciting year that the AI community has ever had. And I say that after really, genuinely believing that 2022 was the most exciting year that we’d ever had. The pace of innovation just keeps rolling in at a fast clip.
ThePlanckDiver t1_j2dloch wrote
Reply to comment by Zermelane in There's now an open source alternative to ChatGPT, but good luck running it by SnoozeDoggyDog
With all due respect to lucidrains (whose work is great), this article is clickbait; this is like saying there’s an open-source version of the Empire State Building, which is in fact just the blueprint.
Anyone is free to build it, sure, just bring your own bricks (data) and mortar (FLOPS).
(Those CarperAI and LAION initiatives mentioned at the end sound interesting, but honestly, after all the premature hype for BigScience’s BLOOM and Meta’s OPT and co. which in reality turned out to be a snooze, I’ll reserve my celebrations for when they deliver something that’s actually useful.)