Totally. I mean at this point Elon has 1000s of hours of practice doing interviews, pitches, presentations, conferences, etc. See Sam Altman in this context.
Have to disagree on this. Watching Elon trying to get a thought out always makes me cringe. Something about his communication style is incredibly frustrating for me.
If I'm not mistaken, Musk admitted he has Asperger's. His speech resembles someone with a mild autistic disorder.
Still, I'd rather patiently wait for him to serialize his thoughts, than to listen to some super fluent person saying utter nonsense, especially if it's a pitch talk. It's all about _what_ is being said, not _how_.
Yes, I think that’s right, but I find _what_ he says to be equally intolerable. I’m not interested in waiting patiently to hear someone overpromise again and again, contradict themselves on almost everything, pick public fights, or toss out provocative bad takes. This is a guy who hyped Dogecoin, called a guy he didn’t he didn’t like a pedo, announced Tesla would take Bitcoin and then reversed it, dismissed the pandemic as “dumb,” amplified far-right talking points, lashes out at anyone who challenges him, the list goes on and on. Honestly, it’d be better if he just stopped talking.
Looks like we're listening to different Elons. The one is a tech guy, the other is politician, so to speak. Long time ago I decided for myself that I never trust words solely on their origin. However, I take into account what the person is known for and their profile of competence. I think no one would argue that Elon is competent in technology. Yes, Elon time is a thing, but again, what he does is not just another college project, you know. Space is hard, so does AI and the human brain. There is fair amount of uncertainty in the domain itself which makes all predictions estimates at most.
Sure, you can ask your grandma for investment advice and that would probably be a poor decision, unless she worked in finance her whole life. On the other hand, she would probably be more than competent to answer how to make cookies and pies.
Long story short: use your brain, don't trust media, do your own research. Even Nobel winners are often known for some crazy or unscientific stuff. People are people, after all. You can't be an expert in everything. Otherwise we'd cancel literally everyone.
Isn't it exactly what the typical LLM discourse is about? People are just throwing anecdotes and stay with their opinion. A is better than B because C, and that's basically it. And whoever tries to actually bench them gets called out because all benches are gamed. Go figure.
P.S.: This project is obligated to have an anime mascot girl and a logo where she is embarrassed while trying to keep her skirt in place because a house fan suddenly turned on xD
CubeCL is the computation backend for Burn (https://burn.dev/) - ML framework done by the same team which does all the tensor magic like autodiff, op fusion and dynamic graphs.
Honestly, I don't feel that the name is _that_ important for a project of such scale and popularity. I mean, if they'd just rebrand JavaScript as JS, no one would probably notice. Many devs already call it like that, and probably not a single soul feels JS connection to Java anymore (not to mention, it wasn't there in the first place, but oh well).
Yet, he is able to answer most of deep technical questions related to his technologies, right on the spot. And his answers are well thought, concise and factual, i.e. not the handwavy crap you can expect from a CEO of his scale.
Definitely. I tried gemma2:27B model with phrases like "translate the following sentence to language X" and it even failed to understand the task and spat out completely irrelevant things, like math formulas.
