lmao
y’know, i used to think that we would get android girlfriends because jensen huang is 62 and you know he wants to bang a robot while he still can. i didn’t expect that the way this would lose its relevance is through him losing his position as ceo, but it’s indeed a very jensen way for him to do it
although now that he’s not saddled with managing nvidia, he can go and focus on it. like he’s still a billionaire
…there has been a third?
mostly by having the market run out of money to shovel into the ai companies. which is already happening in parallel to this, it’s just difficult to tell how long it’s gonna take.
afaik the anthropic ipo next week is the next potential trigger point
that’s musk, not jensen
tbh i have a theory that the ai bubble itself is what’s holding us up. the llm angle has been explored deeply and optimised to ridiculous levels. what we got out of it is an incredibly powerful tool, but it’s not agi yet. it does have the ability to absorb a lot of skills though, both with deliberate training and with incidental exposure during training, so teaching it new tricks is probably going to be a thing all the way until we reach agi, but imo we’re not getting to agi just by building larger llms.
but the problem is, that’s literally the only thing that’s happening today at any reasonable scale. llms have become the same kind of safe investment slop that reboots and sequels are in media, sure it’s guaranteed to be mediocre (in this case, by being expensive to run and having relatively little advantage over existing stuff) but at least there’s very little chance they will fail outright. real r&d, on the other hand, is inherently risky, but it’s how real progress gets made.
after the crash, hardware will be (relatively) cheap and plentiful, both to own and to rent online, and we’ll see investment sour on llms. that will finally open the door for moving past them and finding the next thing. and if agi will ever be made, that’s how it will be made, not by training ever larger llms just to distil them back to the same scale as before with minor tweaks to how attention works. which is pretty much what has been happening in the past 2-3 years.
“we choose to go to the moon and do the other things, not because they are easy, but because we thought they were easy”
personally i do consider it a slur and avoid it accordingly, but i think the difference with this one is that colloquial usage took it over entirely. i’m fairly sure the average person does not think of down syndrome when they hear that slur, they just think of a particularly stupid person. which is also how the words “idiot” and “dumb” stopped being slurs over time, even though those also used to refer to medical conditions.
this might differ between cultural backgrounds, i suspect that’s why it was categorised as a slur in contemporary internet culture. but it’s pretty hard to find another slur that doesn’t unambiguously, inseparably refer to a particular group it degrades. with the r-slur, some people do appear to separate it, i think that’s why they insist it’s okay to use.
unsure, tbh. technically he did activate more money to chase his cards while keeping prices high for large-scale customers, so it would be really difficult to claim he did not act in nvidia’s best financial interest this particular time. sure it’s an evil move, but it’s pro-corporate evil, which is explicitly encouraged under securities legislation.