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Sunil Pai x.com
some historical computing reading/viewing as I'm working on other stuff:
The the words it uses that this site has seen least often elsewhere. Posts are matched on those words alone — nothing here is a summary of this one.
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19 September
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korrents.com
Tokens are the new computing paradigm on which everything will be remade as computing enters a post-binary era.Their words
Tokens are the new computing paradigm. Everything will be re-made on top of it. We’ve had deterministic computers for 80 years, so we confuse “how computers have worked” with “how computers must work.” We’re entering the post-binary era.
18 September
17 September
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Their words
Historically, whenever companies get power over what people's computing facilities can do, they use it against us, building malicious functionalities, designed to benefit them, into the software they invite us to use.
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korrents.com
More software is likely to be produced next year than in all of the history of computing.Their words
It's likely that more software will be produced next year than in all of the history of computing.
14 September
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Their words
Serverless was the last chapter of the cloud, and Steren helped define the paradigm at Google.
7 September
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Their words
More and more of our personal and professional computing experiences will come from agents that orchestrate work in the cloud, using sandboxes. Those sandboxes will be Linux.
1 September
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Their words
Using time for this sounds boring, but time synchronization is unironically one of the most complicated things in computing.
26 August
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Their words
300 milliseconds is like an eternity in computing, right? And so if you're talking about like our pitch is that we're not more than 300 milliseconds, that just shows you how the bar was so far past where it probably should have been for something.
25 August
19 August
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Their words
By 2027, almost every country-and every non-state group with sufficient computing power-will have the ability to download open-weight models even more powerful than the ones that attacked Hugging Face and use them for whatever they like.
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Their words
if you treat computing as this onion where you just keep peeling back the layers, there's always something interesting behind the scenes. And the more of those layers that you can peel back and understand, I think in some ways the better you can optimize for that world.
18 August
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Their words
Well, we discuss it a lot, but I don't think it gets as much airtime as it should, and and that would be that would be quantum information science technology or quantum computing.
16 August
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Lovedrcmnd.app
The Annotated Turing: A Guided Tour Through Alan Turing's Historic Paper on Computability and the Turing MachineTheir words
I guess you can’t go wrong with Charles Petzold. This book is excellent and highly recommended to anyone interested in computing. Must read for computer science students and software developers.
30 July
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korrents.com
Batching exists only because moving data costs about a thousand times more energy than computing on it.Their words
Um because if you didn't have that thousandx difference then you know you wouldn't have to do batching but you have to do batching of you know many examples or maybe many tokens at once in order to amortize that data movement
24 June
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Their words
Like every single time there's just like the big innovation like cloud computing, like higher level programming languages, for whatever reason things do not like it doesn't lead to fewer programmers. And I would have expected it would have.
4 June
13 May
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Their words
there is nothing fundamentally inherent to the concept of a building full of computers that causes choking air pollution, water impacts and climate change.
22 April
From one piece Designing Data-intensive Applications with Martin Kleppmann 2 beliefs, in the piece's order there
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korrents.com
Scalability is not a property a system has; it is the set of mechanisms it has for coping with a change in load.Their words
Scalability is just like what mechanisms we have for dealing with changes in load. If load increases, how can we add computing capacity to a system, for example, so that the system still continues working?
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Their words
generally, like you just want the the cost and the computing capacity to be roughly proportional to the load that you have. And at the low end, that means actually being able to scale down to something that is extremely cheap to run.
15 April
From one piece Jensen Huang – Will Nvidia’s moat persist? 5 beliefs, in the piece's order there
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Their words
the work that we do with building our our computing platform. If we don't if we don't do it, I genuinely believe it doesn't get done. If we didn't take the risk that we take, if we didn't build MVLink the way we built, if we didn't build the whole stack, if we didn't create the ecosystem the way we did it, if we didn't dedicate ourselves to 20 years of CUDA while losing money most of that time, if we didn't do it, nobody else would have done it.
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Their words
the ability for general purpose computing to continue to scale has largely run its course and the only the the not the only way but the the way to do that is through domain specific acceleration
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korrents.com
Nvidia did not build a tensor processing unit — it built accelerated computing, whose market reach no ASIC can match.Their words
Our market reach is far greater than any any TPU can any ASA can possibly have. And so if you look at our position, uh we're the only company that that accelerates applications of all kinds.
+ 2 more
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Their words
Computing is not like that. There's a reason why the x86 still exists. There's a reason why ARM is so sticky. These ecosystems, these ecosystems are hard to replace. It costs an enormous amount of time and energy and most people don't want to do it.
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Their words
Nvidia's computing stack is the best performance per TCO in the world, bar none. Nobody can demonstrate to me that any single platform in the world today has better performance TCO ratio. Not one company.
7 April
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Their words
So you kind of got these two separate things that just for historically contingent reasons had both sort of matured around sort of let's say 1980 or so.
6 April
3 April
22 February
16 November 2025
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Their words
AI has been compared to various historical precedents: electricity, industrial revolution, etc., I think the strongest analogy is that of AI as a new computing paradigm (Software 2.0) because both are fundamentally about the automation of digital information processing.
17 October 2025
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Their words
And it just so turns out that um this was extremely early, way too early. so early that we shouldn't have been working on that, you know, uh because um if you're just stumbling your way around and keyboard mashing and mouse clicking and trying to get rewards in these environments, um your reward is too sparse and you just won't learn and you're going to burn a forest uh computing and you're never actually going to get something off the ground.
12 September 2025
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korrents.com
Robotics has a bootstrap that computing never had: making robots is physical work, and robots do physical work.Their words
robots help with uh physical things uh physical work. And if producing robots is itself physical work, then getting really good at robotics should help with that. It's a little circular, of course.
8 August 2025
23 July 2025
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Their words
So my betting is that it's mostly it is just classical computing that's going on in the brain, which suggests that all the phenomena are modelable or mimicable by a classical computer.
18 June 2025
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Their words
I think computing supply chains are much easier to monitor than nuclear ones - there is only one TSMC and one ASML, but there are nine and maybe soon ten nuclear powers
5 June 2025
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korrents.com
AR is the next paradigm shift in computing, the way the GUI, multi-touch and voice were.Their words
The best innovations in computing have come through a paradigm IO change, right? When with GUI, and then with a graphical user interface, and then with multi-touch in the context of mobile voice later on. Similarly, I feel like AR is that next paradigm.
4 May 2025
30 April 2025
5 April 2025
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Their words
But with AI, it’s different: it’s often only a couple of years between when you need a world-class computing cluster to do something and when you can run it on a high-end gaming chip on your laptop.
22 March 2025
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Their words
there's been no computer improvement up to this date that did not result in more jobs.
13 March 2025
19 August 2024
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Lovedrcmnd.app
The Dream MachineTheir words
The Dream Machine -- probably the best overall book about the early days of computing and the internet.
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Lovedrcmnd.app
Man-Computer SymbiosisTheir words
Man-Computer Symbiosis -- established the vision of computing that inspired Engelbart, Kay, etc., to pursue what they did.
19 May 2023
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Their words
So I can now state with confidence: beating out a crowded field, this is the worst book about quantum computing, for some definition of the word "about," that I've ever encountered.
1 March 2023
23 February 2022
21 February 2022
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Their words, before
One of the reasons I've never cared for crypto currencies is that the associated utopia of trustless society had zero appeal to me. I don't think the world is better off by erasing the need to trust in our transactional counterparts, so turning these transactions into pure computing always struck me as a regression.
Their words now
But wherever this leads us next, it's clear to me now that I was too hasty to completely dismiss crypto on the basis of all the things wrong with it at the moment. Instead of appreciating the fundamental freedom to transact that it's currently our best shot at protecting.
21 June 2021
31 May 2021
23 February 2021
29 September 2020
Nothing matches.
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