this redundant data, use mathematical properties as part of this reduction process. So more often than not, using several orders of magnitude more compute to compress because that's more costly versus both costly both financially and in CPU resources— ... versus the decompression. So it's asymmetric in that respect. Uh,often the case because compression is done once, but there could be lots of viewers of another file. So to take that information and compress it by
But Kimi K2 Thinking and Kimi K2 is a model that is very popular. People say that has very good creative writing and also in doing some software compute is going in at pre-training. Because you can still make a model better, you still want to go and revisit this. You still want the best base model
But Kimi K2 Thinking and Kimi K2 is a model that is very popular. People say that has very good creative writing and also in doing some software compute resources, you want to do all of them. So you have training, you have inference scaling, and training is like a hierarchy: it's pre-training, mid-training,
some of them won't get enough work to do. And if they don't get enough work to do, they demotivate everybody else by their mere compute , then that's going to be resilient to everything the world throws at you. I suppose if you have people managing all of it, it becomes stale quickly.
stars, colonize the whole universe, turn the whole universe essentially into one giant data center um so that it can compute um and and you know compute information and in some sense be beawake. Um the tacit thing that they won't come out and
So the thing that really-- I think relevant to this conversation, the thing that wowed me was how you can start to change compute loads to match demand on the grid and to match supply of renewable energy.And we did an entire episode about how you start to think about the interaction between data centers, running compute loads, and what kind of energy mix
regulation um so this is a a second topic that's particularly important um compute the cost per ton of carbon taken out McKenzie did a study recently and
Any technology is missing. Computers? yeah. It's very overcrowded. It's large classrooms. I've been in classrooms with 140 kids in them, for example, paper.
More teachers. No effect on learning. Computers in the classroom. No effect on learning.
Textile looms, tractors and railroads, right? Computers. We've been automating for a long time, and yet 2% growth Right? But if you continue doing that, something may change.
to tame electromagnetism is why people can hear you when you do your podcast because through the miracles of the internet just-- or just electricity running the computers. I mean, this is a case if I can get on a small soapbox, where people back then said, "Well, why are you messing around with magnets and sparks?" And who cares? Well, that very
Since the Higgs field is zero, the weak force particles don't feel mass, and therefore, they can travel at the speed of light, just like the computers pick the thousand. And then we pass those through analysis software and hand them to the graduate students, and they pick through them, looking and
And that's the, that's kind of the miracle of this company. You know, when you're designing a computer, you have to have operating system of computers. When you're designing a company, you should first think about what is it that you want the company to produce. You know, I see a lot of companies organization charts, and they all look the same.
real, and a gazillion artificial ones that are created in various laptop computers of the future. We're one of a billion trillion zillion instantiations of people who think that they're real. Now, one truly is real.
And so, I think that's one way to just you know, the other way is you go ask your current boss for a promotion. computerization. And as you get into robotics, you're going to have that happen, right?
I guess what I'm saying is there's something true and pathological about a narrative like that and it would probably be better computers, no cell phones, there's no internet. You wrote stuff down. And so, the contents in your head
training, what do they actually do? I mean, are they out there physically shooting targets together? Are these computer simulations? Do we know what they look like? Yeah, majority, most of it is computer simulation, you know, war gaming. This is, you know, most of it is done inside
of technology and how it takes time for the effects to be felt in society. Computers can play chess pretty well.
Computer vision, machine learning and artificial intelligence have revolutionized every discipline that deals with images, from remote sensing
computers if we can figure out how to really scale them efficiently and build-- we don't need super-large-scale quantum computers.
Computers make things perfect.
computers are invisible, behind the scene, helping us, supporting us, and augmenting our everyday activities.
computerized brain interfaces, and the newest stem cell methodologies in the context of aggressive rehabilitation
computers, and so on.
Computers are made by little electronic circuits, which are computed and designed using quantum mechanics and work thanks to quantum phenomena, small quantum things.
computer science coding. Then you have this disparity of the black population and colored because South Africa
Computer is-- technology is ruining things.
Computers have made things much easier.
Computer can predict people's personality with the same accuracy as your work colleagues can after having interacted with you for some time.
Computers can also do it on the individual level.
Computer scientists devised elaborate ways to help computers decide which sentence meanings were statistically most sensible, but for all the effort involved
Computer science and theater.
Computer Science. So they're numbered and they go up to like 24.
Computers took the place of people in doing calculations.
Computers-- very large, very expensive.
Computers get faster, so password guessing gets faster as computers get faster, not because we're smarter about it.
Computers that can do things.
computers, today we should be talking about, and we are talking about, for example,
computer impact in the terms of privacy, security.
Computers don't actually make effort.
Computers aren't striving selves, and striving selves are not computers.
computers to experience emotion is to be able to develop computing systems that
computer scientists that the president of MIT worried aloud that the future of computer science education in the United States was questionable,
Computers search-- artificial intelligence.
Computer science and Stanford and the pull of libertarian ideas and why they make sense to a certain group of people,
Computer science is a big thing around here and so forth.
Computer takes that input, goes through some sort of algorithm, and results in an output.
Computer scientists and engineers who are working in this field, some of them express the fear or reservation that once code writes
Computers meaning three. And it looked-- that's it.
Computer science is much more broad than coding.