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Ali Alaa x.com
I made these six doodles. A neural network guessed all of them correctly. #aiexperiments #quickdraw
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18 September
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11 September
8 September
From one piece God Help Us, Let’s Try To Learn About Mechanistic Interpretability Techniques 2 beliefs · astralcodexten.com
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korrents.com
Neural networks do not have a one-to-one mapping between individual neurons and concepts.Their words
researchers started by seeking a 1:1 mapping between neurons and concepts, like a neuron that always fired when the AI was thinking about cats, but quickly learned that nothing like that existed.
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korrents.com
Large language models are grown rather than built, and nobody really knows how the resulting working AI functions.Their words
Large language models are “grown, not built”. Researchers run training data through a neural network. Eventually this creates a working AI; nobody really knows how.
7 September
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Their words
Yea video game gfx pipelines will now just visually prompt neural renderers.
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korrents.com
A neural network's latent space is closer to an uncopyrightable syntax than to copyrightable expression.Their words
The latent spaces of an LLM are closer to something like a syntax which is not copyrightable.
2 September
31 August
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korrents.com
Desalination for drinking and household water is cheap and uses less energy than commonly assumed.Their words
Supplying drinking and household water through desalination is really quite cheap, and uses far less energy than I’d have guessed.
26 August
24 August
23 August
10 August
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Their words
What happened there is actually not as revolutionary as you might think because the bottom line is it's still data.
3 August
27 July
From one piece Boris Cherny: We Cut 80% of Claude Code's Prompt 2 beliefs, in the piece's order there
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Their words
And you don't want to guess what's the instruction that the model needs because you might not predict it correctly. The thing that you want to do is you want to run it.
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Their words
Like this is actually like a new form of test time compute. Like when we talk about the scaling laws and kind of we talk about the model getting more intelligent over time, historically, it's been a function of the size of the neural net, the amount of training data, and the number of flops that you put in to the training. And then recently, we also added test time compute. So this is essentially a fancy way a researcher way of saying how many tokens does it generate. And now dynamic workflows are essentially a new way to orchestrate test time compute.
30 June
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29 May
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Likedrcmnd.app
Spurcycle carabinerTheir words
Very secure and convenient, and has a bottle opener which is really effective and one of the most unintuitive devices I've ever found: zero people have used it correctly on the first try.
29 March
20 March
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Their words
so for example, micro GPT, like I asked I tried to get an agent to write micro GPT. So, I told it like try to boil down the simplest things. Like try to boil down my um neural network training to the simplest thing and it can't do it.
17 February
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Their words
Sixteen is also roughly the age by which a majority of adolescents have completed puberty: a sensitive period of neural reorganization during which it is extremely important to protect the brain.
5 December 2025
25 November 2025
From one piece Ilya Sutskever – We're moving from the age of scaling to the age of research 2 beliefs, in the piece's order there
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Their words
I think for example our intuitive feeling of hunger is not succeeding in guiding us correctly in this world with an abundance of food.
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Their words
And the solution is if people become part AI with some kind of neural link++ because what will happen as a result is that now the AI understands something and we understand it too like because now the understanding is transmitted wholesale.
17 November 2025
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korrents.com
A verifiable task can be optimised by reinforcement learning until a neural network performs it extremely well.Their words
If a task/job is verifiable, then it is optimizable directly or via reinforcement learning, and a neural net can be trained to work extremely well.
17 October 2025
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Their words
And actually, you don't actually need or want the knowledge. I actually think that's probably actually holding back the neural networks overall because it's actually like getting them to rely on the knowledge a little too much sometimes.
30 September 2025
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Their words
This is a short (~150 pp), brisk first book on the topic for physicists. Most of the book --- the first ten chapters --- are good introduction to common models of spin glasses.
19 August 2025
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Their words
I'm now fairly pessimistic about ambitious interpretability (i.e. complete reverse-engineering), and I'm excited about model biology (studying qualitative high-level properties of models) and applied interpretability (rigorously doing useful things with interp).
13 August 2025
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korrents.com
China's economy will not collapse, whatever the West has been predicting on and off since the 1980s.Their words
Collapse is such a strong word, and the West has been using this word repeatedly. If I remember correctly, maybe four to five times, maybe even six times since 1980s during the period of China’s fastest growth. I tend to not think that Chinese economy will collapse.
2 August 2025
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korrents.com
Not every bottleneck on medical progress is one AI can remove, and which ones will remain can be guessed at now.Their words
But I don’t think all bottlenecks on medical progress are equally AI-able in the next decade, and I don’t think all will become irrelevant.
What does AI progress mean for medical progress?blog.jacobtrefethen.com
30 July 2025
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Their words, before
This means that working on neural networks is NOT getting us closer to AGI, except indirectly.
Their words now
It’s become very difficult for me to maintain the belief in the stupidity of ChatGPT when every time I laugh at it, it ends up ridiculing me 6 months later.
23 July 2025
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Their words
And I think the reason that's possible is that in nature, natural systems have structure because they were subject to evolutionary processes that shape them. And if that's true, then you can maybe learn what that structure is.
4 July 2025
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korrents.com
Using a neural network is likely to become easier than designing a custom-tuned prediction algorithm for many tasks.Their words
in 2025 it might end up being easier to just throw a neural net at the problem, instead of a custom-designed-and-tuned prediction algorithm!
12 May 2025
18 April 2025
22 March 2025
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korrents.com
A speed difference between languages that share the LLVM backend measures the benchmark author, not the languages.Their words
It's just that Zig, C, C++, all those languages that were being tested, they're all LLVM backends, right? That's the one that actually turns the thing into the executable part. And if there's a variation in speed, it just means in one language you didn't quite express what you are supposed to correctly.
9 December 2024
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korrents.com
Nic Carter correctly identified the product behind the FDIC’s redacted crypto pause letters.Their words
I think Carter is very likely (90%+) correct with respect to identifying the subject of these letters.
11 October 2024
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Their words
Neurosymbolic AI — combining such machinery with neural networks – is likely a necessary condition for going forward.
7 October 2024
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Recommendsrcmnd.app
The Big ShortTheir words
the Big Short is a dramatization of a gang of outsiders (and insiders who are presented as outsiders for narrative convenience, a theme Lewis will return to frequently, not always with self-awareness) who correctly predict the mechanism and course of the global financial crisis.
18 August 2024
12 January 2024
3 January 2024
26 December 2023
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Recommendsrcmnd.app
Neural Network Methods for Natural Language ProcessingTheir words
I also read a ton of technical books last year, but the most impactful one for me was Neural Network Methods for Natural Language processing by Yoav Goldberg
11 August 2023
From one piece The Myth of the Individual 2 beliefs · terryreal.com
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korrents.com
Character is not fixed: therapy works because habitual neural pathways can re-form, sometimes within minutes.Their words
In my practice, I have seen that opening neural pathways can lead to profound change, to brand-new traits and behavior, sometimes in a matter of minutes.
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Their words
Neurobiologists tell us that it takes two things to unlock and open up a neural pathway. The first is that the implicit must be made explicit. Sometimes you need help seeing what you don't see. But you must be open to the feedback. Second, there must be some sort of recoil, a sense of discrepancy, of "Oh no, I'm not sure I really want to keep doing that."
2 August 2023
24 June 2023
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Their words
At the same time, in order to reduce the probability of someone intentionally or unintentionally bringing about a rogue AI, we need to increase governance and we should consider limiting access to the large-scale generalist AI systems that could be weaponized, which would mean that the code and neural net parameters would not be shared in open-source and some of the important engineering tricks to make them work would not be shared either.
17 February 2023
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Their words
The biggest issue is probably that we don’t control neutral networks enough to be able to ensure AI doesn’t harm humans. We can’t even control AI to not reveal internal prompts.
8 September 2022
14 March 2022
4 February 2022
18 December 2021
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Their words
Free software is designed to be used commercially, but you have to do it correctly. This is a resource which is made available to companies who want to exploit it, but they must do so according to the terms of the licenses.
24 September 2021
30 May 2019
4 May 2019
25 April 2019
9 August 2018
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Recommendsrcmnd.app
The Pragmatic Programmer: From Journeyman to MasterTheir words
This is about the craft of software development, and thinking about how to produce good code. As the name suggests, it's a very pragmatic and hands-on book. It really helped me on my journey as a software engineer, to be able to write quality code day in and day out, and be confident that it's going to work correctly.
9 March 2018
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Their words
Neural network pruning techniques can reduce the parameter counts of trained networks by over 90%, decreasing storage requirements and improving computational performance of inference without compromising accuracy.
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Their words
Neural network pruning techniques can reduce the parameter counts of trained networks by over 90%, decreasing storage requirements and improving computational performance of inference without compromising accuracy.
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