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xAI announces series B funding round of $6B

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Re: xAI announces series B funding round of $6B

#91

Post by 0xDEADFED5 »

defrost wrote: post #43
blackeyeblitzar wrote: post #30

Earlier quoted context omitted.

> BYD is better than Tesla cars Are you aware of the recent issues with BYD and other Chinese EV brands? Entire dealerships have gone up in flames from dangerous vehicles. Not lone incidents but tens of dealerships at least, in just this month. Tesla cars may have flaws but there is no way a BYD can be compared to them even on the basics. And Tesla’s software is simply way better and makes it clear that it was design…

> Are you aware of the recent issues with BYD and other Chinese EV brands? No, but I'd like to know more. > Entire dealerships have gone up in flames from dangerous vehicles. Not lone incidents but tens of dealerships at least, in just this month. Wow! Here's one: https://www.bbc.com/news/articles/c2544ndvkepo ( Although no brand is given and it's a " possibly " on being caused by an EV ) Can you provide links to 19…

the main source i can find that seems to be the origin for "10 BYD dealerships burned since 2021" (carscoop) references this article:

https://www.ntdtv.com/b5/2024/05/16/a103881785.html (which actually lists 11 minus the most recent)

translation seems to be mostly accurate, but i can't be arsed into researching the locations listed.

but yes, tens of dealerships per month seems like a bit of an exaggeration

Re: xAI announces series B funding round of $6B

#93

Post by duskwuff »

LeoPanthera wrote: post #81
bagels wrote: post #52

Earlier quoted context omitted.

What unique dataset? Tweets?

Yup. They're going to have the greatest training set of trolls, shitposts, and propaganda. The only universe they're going to end up understanding is the one inside Elon's head.

I, for one, eagerly await the new insights into the universe which will be unlocked by training an AI on dril's tweets.

Re: xAI announces series B funding round of $6B

#95

Post by gregolo »

dagmx wrote: post #55
silvester23 wrote: post #20

Earlier quoted context omitted.

There used to be a list of people on the about page but they changed it, apparently. Here's a snapshot that still shows it: https://web.archive.org/web/20240415120557/x.ai/about I don't know enough about the AI/ML scene to say if any of these are notable people.

Thanks! That page is a good find. Very few of the names stand out to me (being adjacently familiar with the space). However I did search based on your link… (Edit: with the exception of Chris Szegedy, thanks to the reply below for pointing that out) Most of them seem to have been secondary/tertiary people on the projects listed. Definitely feels a bit like resume padding. It’s also unfortunate that searching for the…

Chris Szegedy is a big name at least

Re: xAI announces series B funding round of $6B

#96

Post by kolinko »

dagmx wrote: post #70
jokethrowaway wrote: post #69

Earlier quoted context omitted.

The datasets should not be used for knowledge but to train a language model. Using it for knowledge is bonkers. Why not buy some educational textbook company and use 99.9% correct data? Oh and use RAG while you are at it so you can point to the origin of the information. The real evolution still has to come though, we need to build a reasoning engine (Q*?) which will just use RAG for knowledge and language models to…

How does one differentiate knowledge from the language model in an LLM? At least in a way that would provide a benefit?

You use formal verification for logic and rags for source data.

In other words - say you have a model that is semi-smart, often makes mistakes in logic, but sometimes gives valid answers. You use it to “brainstorm” physical equations and then use formal provers to weed out the correct answer.

Even if the llm is correct 0.001% of the time, it’s still better than the current algorithms which are essentially brute forcing.

Re: xAI announces series B funding round of $6B

#97

Post by sundalia »

blackeyeblitzar wrote: post #3
chambo622 wrote: post #2

What is the bull case here? They close the gap to Anthropic and become a 4th place player?

Unique data set. And Elon. And with Elon, comes a great set of talent. From https://x.ai/about > Our team is led by Elon Musk, CEO of Tesla and SpaceX. Collectively our team contributed some of the most widely used methods in the field, in particular the Adam optimizer, Batch Normalization, Layer Normalization, and the discovery of adversarial examples. We further introduced innovative techniques and analyses such as…

Unique? You mean tweets? Yeah sure

It's 6B down the drain. Saying grok 1.5 is competitive is a joke, if it was any good it would be ranked well in chatbot arena (https://chat.lmsys.org/). Elon is a master in hyping underperforming things and this is no exception.

Re: xAI announces series B funding round of $6B

#98

Post by dagmx »

kolinko wrote: post #96
dagmx wrote: post #70

Earlier quoted context omitted.

How does one differentiate knowledge from the language model in an LLM? At least in a way that would provide a benefit?

You use formal verification for logic and rags for source data. In other words - say you have a model that is semi-smart, often makes mistakes in logic, but sometimes gives valid answers. You use it to “brainstorm” physical equations and then use formal provers to weed out the correct answer. Even if the llm is correct 0.001% of the time, it’s still better than the current algorithms which are essentially brute forci…

I’m still confused as to the value of training on tweets though in that scenario?

If you need to effectively provide this whole secondary dataset to have better answers, what value do the tweets add to training other than perhaps sentiment analysis or response stylization?

Re: xAI announces series B funding round of $6B

#99

Post by uargos »

gizajob wrote: post #71
lionkor wrote: post #6

> The company’s mission is to understand the true nature of the universe. I yawned so hard my jaw unlocked. Can't wait to see groundbreaking... checks notes ... "advancements in various applications, optimizations, and extensions of the model". Do these companies only hire yes men?

“The company’s mission is to understand the true nature of the universe” - There’s no way an LLM is going to get anywhere near understanding this. The true nature of the universe is unlikely to be captured in language.

Very little people seem to understand that.

And actually there is no need to go as far as “universe” to get to something that can’t be captured by language. Human existence is such an example.

For this reason I don’t think llms are going to be good film makers for instance. Sure an llm will be able to spit the scenario of the next action movie, those already seem to be automatically generated anyway. But making a film that resonates to humans takes a lot that can’t be formulated with language.

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