NVidia
Huang's family must have had interesting connections if you consider that the daughter of his cousin is running AMD. And both were born in Taiwan and then went to MIT, which seems unlikely to happen without family money.
Readit Newsfxtentacle commented on All it takes is for one to work out alearningaday.blog/2025/1... · Posted by u/herbertl
Only a matter of time before using coding agents with local LLMs is a viable alternative.
I’m quite happy with my offline AI solution:
All of these emergent properties of image and video models leads me to believe that evolution of animal intelligence around motility and visually understanding the physical environment might be "easy" relative to other "hard steps".
The more complex that an eye gets, the more the brain evolves not just the physics and chemistry of optics, but also rich feature sets about predator/prey labels, tracking, movement, self-localization, distance, etc.
These might not be separate things. These things might just come "for free".
I wouldn't call these properties "emergent".
If you train a system to memorize A-B pairs and then you normally use it to find B when given A, then it's not surprising that finding A when given B also works, because you trained it in an almost symmetrical fashion on A-B pairs, which are, obviously, also B-A pairs.
fxtentacle commented on AI has a deep understanding of how this code works github.com/ocaml/ocaml/pu... · Posted by u/theresistor
"This seems to be largely a copy of the work done in OxCaml by @mshinwell and @spiessimon"
"The webpage credits another author: Native binary debugging for OCaml (written by Claude!) @joelreymont, could you please explain where you obtained the code in this PR?"
That pretty much sums up the experience of coding with LLMs. They are really damn awesome at regurgitating someone else's source code. And they have memorized all of GitHub. But just like how you can get sued for using Mickey Mouse in your advertisements (yes, even if AI drew it), you can get sued for stealing someone else's source code (yes, even if AI wrote it).
The EU is worried about Trump being unpredictable, so they are pushing hard for sovereignty. See their initiatives to leave US clouds. This decision is completely in line with that strategy and, probably, also what the US military expected to happen.
Yeah I think LeCun is underestimating the impact that LLM's and Diffusion models are going to have, even considering the huge impact they're already having. That's no problem as I'm sure whatever LeCun is working on is going to be amazing as well, but an enterprise like Facebook can't have their top researcher work on risky things when there's surefire paths to success still available.
LLMs and Diffusion solve a completely different problem than world models.
If you want to predict future text, you use an LLM. If you want to predict future frames in a video, you go with Diffusion. But what both of them lack is object permanence. If a car isn't visible in the input frame, it won't be visible in the output. But in the real world, there are A LOT of things that are invisible (image) or not mentioned but only implied (text) that still strongly affect the future. Every kid knows that when you roll a marble behind your hand, it'll come out on the other side. But LLMs and Diffusion models routinely fail to predict that, as for them the object disappears when it stops being visible.
Based on what I heard from others, world models are considered the missing ingredient for useful robots and self-driving cars. If that's halfway accurate, it would make sense to pour A LOT of money into world models, because they will unlock high-value products.
Working under LeCun but outside of Zuckerberg's sphere of influence sure sounds like a dream job.
What's Tesla's forward PE? Close to 200? I don't think we can use them as an example of anything resembling a sane market.
Edit: Found a link to the article content, I gather that's basically the point you're making?
Yes, the point I was trying to make is that companies can get away with not being maximally profitable. There's nothing legally stopping Apple from accepting a slightly lower profit margin on the 5% of sales volume that might go to smaller iPhones if they would offer them. But it might brighten the day for millions of customers.
>maybe they could just do one thing that isn't maximally profitable once in a while.
They tried that this year and called it iPhone Air
The iPhone Air was a turn in the wrong direction.
What people like me wanted was an iPhone 13 mini that's a bit thicker so it can have a bit more battery capacity. And with the 120 Hz PWM nausea fixed.
The iPhone Air has worse battery life. And it has a larger screen. And it's worse to handle one-handed. Coming from the 13 mini, it's not an improvement.
An Apple Watch with a cellular connection, paired with Airpods, fulfills some of the role of a small iPhone - you can make calls, listen to music, and even do some light texting if Siri likes your accent.
No camera => not a phone replacement for most of the market