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The most popular blog posts about ai & machine learning on Hacker News. 3,091 posts.
A few days back I read an article about how Bitcoin’s price can be sufficiently explained by Metcalfe’s law. As you read through the post, resist the temptation to click the links to learn more about Bitcoin, Metcalfe’s law etc. (Maybe you should read about Bitcoin if you have not heard of it). I have provided all the…
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How AI Could Transform the World for the Better
I will try to solve all of the advent of code with as little human input as possible
The myth A few years ago I saw a StackOverflow question (but I cannot find it now): allegedly Andrew Gelman blogged that Bayesian models would not overfit and would only underfit (I also cannot find Andrew’s blog post now but I think what he meant by “Bayesian models only underfits” is that you can never fully model…
I was intrigued by Jev and the self-hostable projects appearing around it, such as OpenJev and SemIf . Reading about them introduced me ...
A few weeks back, I implemented GPT-2 using WebGL and shaders (Github Repo) which made the front page of Hacker News. Here is a short write-up over what I …
Almost 25 years after Kasparov vs. Deep Blue, another seminal man vs. machine matchup: Neither competitor has much to be proud of here. White has a poor opening. Black screws up and loses his queen…
A mildly interesting analysis of what models know and what it tells us about how they were trained.
Get ready for medium data
CUDA 10 support has just landed in ClojureCUDA with the latest version 0.6.0.
How the KV cache gives every AI conversation a physical weight in silicon, and what happens when the memory runs out.
Back in 2014, Elon Musk referred to AI as summoning the demon. And it wasn’t hard to see that view. Soon, Go agents would beat top humans learning from self play. By the end of 2017, the same algorithm mastered Chess and Shogi. By 2020, it didn’t even need tons of calls to the simulator, and could play Atari too.
Careful with those human analogies
Somehow, Palpatine returned.
Deep dives into Cryptography and Privacy.
Even though the impacts of LLMs have never been seen before, they feel familiar to earlier assumptions.
Note: This post departs from the general format used on this blog. That's because the post is not about a specific analysis I've done bu...
Many of the basic ideas behind the Deep Learning Revolution were published three decades ago within fewer than 12 months in our "Annus Mirabilis" 1990-91
Everyone should read Leo Breiman's 2001 article, Statistical Modeling: The Two Cultures . (Summary: Traditional statisticians start with a distribution. They try to identify the parameters of the distribution from data that were actually generated from it. Applied statisticians start with data. They have no idea where…
zi2zi is the follow-up work for my last project , once again tackling the same problem of style transfer between Chinese fonts.
On making use of large thinking models.
This is a memo I published internally to my team at Monarch. I’m sharing it more publicly in case it helps other software engineering teams that are managing the crazy times we’re exper…
