Comment Re:"more semiconductors expertise on the board" (Score 1) 70
Not to mention the millions spent on DEI hiring of marginal people based only on demographics.
Not to mention the millions spent on DEI hiring of marginal people based only on demographics.
He did, on the promise of the Biden CHIPs act money- the employees ballooned to 145,000 worldwide by October 2022.
Due to CHIPs act not coming through as planned, in December 2022 they started rounds of layoffs, which Lu Tan is continuing
That wasn't *all* I said, but it is apparently as far as you read. But let's stay there for now. You apparently disagree with this, whnich means that you think that LLMs are the only kind of AI that there is, and that language models can be trained to do things like design rocket engines.
This isn't true. Transformer based language models can be trained for specialized tasks having nothing to do with chatbots.
That's what I just said.
Here's where the summary goes wrong:
Artificial intelligence is one type of technology that has begun to provide some of these necessary breakthroughs.
Artificial Intelligence is in fact many kinds of technologies. People conflate LLMs with the whole thing because its the first kind of AI that an average person with no technical knowledge could use after a fashion.
But nobody is going to design a new rocket engine in ChatGPT. They're going to use some other kind of AI that work on problems on processes that the average person can't even conceive of -- like design optimization where there are potentially hundreds of parameters to tweak. Some of the underlying technology may have similarities -- like "neural nets" , which are just collections of mathematical matrices that encoded likelihoods underneath, not realistic models of biological neural systems. It shouldn't be surprising that a collection of matrices containing parameters describing weighted relations between features should have a wide variety of applications. That's just math; it's just sexier to call it "AI".
Bill Gates, Steve Jobs, Dylan Field, Evan Williams, Gabe Newell, Jay Koum, Larry Fucking Ellison, Zuck, Michael Dell, and Travis Kalanick are all dropouts to name just a few.
None of those people made advancements at the fundamental level. They all paid someone (or stole from someone) who had a college degree to do the advancements.
Is there even a good business model for superintelligence?
It does all the work.
LLMs will NOT be the way there if it ever happens.
Yeah that's true, I agree.
because that is not happening anytime soon
How can you be so certain? Strong AI algorithm could be invented/discovered any time.
Quantum Mechanics is God's version of "Trust me."