Earlier quoted context omitted.
SBF
Elon’s created multiple 100B companies
But that doesn’t mean investors can’t be stupid
xAI announces series B funding round of $6B
261–270 of 285 posts
Re: xAI announces series B funding round of $6B
#262How is it that some people get 6B to understand the true nature of the universe? It’s not like they have a track record of doing anything other than absolutely devastating a previously successful company… If I ask someone to give me 6B to understand the true nature of the universe they’d laugh in my face, but I sort of assume I’d have an even chance of doing better.
>It’s not like they have a track record of doing anything other than absolutely devastating a previously successful company…
He's also transformed two industries and become a dominant player in each. Just do that and the investors will give you money.
Re: xAI announces series B funding round of $6B
#263What is the bull case here? They close the gap to Anthropic and become a 4th place player?
I guess like OpenAI but without Altman taking it over.
Re: xAI announces series B funding round of $6B
#264"xAI is primarily focused on the development of advanced AI systems that are truthful, competent, and maximally beneficial for all of humanity. The company's mission is to understand the true nature of the universe."
As if we are currently living in some _false_ representation of the universe.
As it happens "AI" is proving to be a challenge to the meaning of the word "true".
This makes "the 'true' nature of universe" a particularly amusing usage.
Re: xAI announces series B funding round of $6B
#265Earlier quoted context omitted.
> Can't tell whether the two weirdnesses are different or similar Because you focus on how they are similar and not how they are different, to me it is extremely obvious they are very different. Students make mistakes and learn and then stop doing them soon after, when I taught students at college I saw that over and over. LLM however still does the same weird mistakes they did 4 years ago, they just hide it a bit be…
> because they are still completely unable to learn or understand their mistakes like almost every human can So far as I know, all current AI need far more examples than we do. But, that's not why LLMs are "unable" to learn: the part which does that is simply not included in when it's deployed for inference .
I'm sure that's very important in principle, much less sure that it matters in practice. Put differently, I struggle to complete the following sentence: "This limitation limits utility sharply, and it cannot be worked around because …"
Maybe others can complete it, maybe it'll be easy to complete it in twenty years, with a little more hindsight. Maybe.
Re: xAI announces series B funding round of $6B
#266Earlier quoted context omitted.
Isn't there an industry standard pay-range? If he isn't paying as well as his competition then I would expect employees to seek better opportunities.
I think SpaceX and Tesla do actually have a reputation for low pay compared to other major tech companies. I think it might be similar to game companies where people are attracted to the work itself (whether it’s because they’re True Believers in Musk or because electric cars and space are cool, not sure, probably mostly the latter). This lets the company pay less for the same level of talent, since the work is in it…
You're saying SpaceX and Tesla pay below industry standard?
Re: xAI announces series B funding round of $6B
#267Earlier quoted context omitted.
> because they are still completely unable to learn or understand their mistakes like almost every human can So far as I know, all current AI need far more examples than we do. But, that's not why LLMs are "unable" to learn: the part which does that is simply not included in when it's deployed for inference .
I'm sure that's very important in principle, much less sure that it matters in practice. Put differently, I struggle to complete the following sentence: "This limitation limits utility sharply, and it cannot be worked around because …" Maybe others can complete it, maybe it'll be easy to complete it in twenty years, with a little more hindsight. Maybe.
> Put differently, I struggle to complete the following sentence: "This limitation limits utility sharply, and it cannot be worked around because …"
Ok, but that's more on you than on current AI; the models which get distributed (both LLMs and Stable Diffusion based image generators) are already found in re-trained and specialised derivatives created by people who know how to and have a sufficiently powerful graphics card.
Re: xAI announces series B funding round of $6B
#268Earlier quoted context omitted.
I'm sure that's very important in principle, much less sure that it matters in practice. Put differently, I struggle to complete the following sentence: "This limitation limits utility sharply, and it cannot be worked around because …" Maybe others can complete it, maybe it'll be easy to complete it in twenty years, with a little more hindsight. Maybe.
> Put differently, I struggle to complete the following sentence: "This limitation limits utility sharply, and it cannot be worked around because …" Ok, but that's more on you than on current AI; the models which get distributed (both LLMs and Stable Diffusion based image generators) are already found in re-trained and specialised derivatives created by people who know how to and have a sufficiently powerful graphics…
Which is a kind of workaround for the inability to learn after the end of training… It's not clear to me how much this workaround mitigates the inability to learn after training. Is it clear to you? If so, please feel free to post a wall of text ;)
Re: xAI announces series B funding round of $6B
#269Earlier quoted context omitted.
> Put differently, I struggle to complete the following sentence: "This limitation limits utility sharply, and it cannot be worked around because …" Ok, but that's more on you than on current AI; the models which get distributed (both LLMs and Stable Diffusion based image generators) are already found in re-trained and specialised derivatives created by people who know how to and have a sufficiently powerful graphics…
Which is a kind of workaround for the inability to learn after the end of training… It's not clear to me how much this workaround mitigates the inability to learn after training. Is it clear to you? If so, please feel free to post a wall of text ;)
To me, that seems like describing ovens and stoves as work-arounds for supermarkets providing frozen food?
The weights are frozen on purpose. You can "thaw" them.
Re: xAI announces series B funding round of $6B
#270Earlier quoted context omitted.
I think SpaceX and Tesla do actually have a reputation for low pay compared to other major tech companies. I think it might be similar to game companies where people are attracted to the work itself (whether it’s because they’re True Believers in Musk or because electric cars and space are cool, not sure, probably mostly the latter). This lets the company pay less for the same level of talent, since the work is in it…
You're saying SpaceX and Tesla pay below industry standard?
Compared to the FAANGs I'm familiar with and the public data available on their pay, they do. Significantly less, at least for higher levels.