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The continued relevance of Weizenbaum’s warnings
“The computer has long been a solution looking for problems—the ultimate technological fix which insulates us from having to look at problems.” – Joseph Weizenbaum (1983) Trying to kee…
Topics /
AI & Machine Learning
The most popular blog posts about ai & machine learning on Hacker News. 3,092 posts.
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Knowledge Management in the Age of AI
My personal website
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Reasons robotics is hard
And why you should ignore demo videos
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AI At Home Part 1: A Box Of Scraps
data centers are so cool there should be one in every house
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Removing blur from images – deconvolution and using simple image filters
Left: Original image. Center: Blurred through convolution. Right: Deconvolution of the blurred image. In this post, we’ll have a look at the idea of removing blur from images, videos, or games thro…
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4000x Speedup in Reinforcement Learning with Jax
Web publication for "PureJaxRL"
2437
Voynich Manuscript: word vectors and t-SNE visualization of some patterns
Update 17/01: reddit discussion thread. Update 19/01: hacker news thread. The codex The Voynich Manuscript is a hand-written codex written in an unknown system and carbon-dated to the early 15th century (1404–1438). Although the manuscript has been studied by some famous cryptographers of the World War I and II…
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Julia GPU
Lambdaclass's blog about distributed systems, machine learning, compilers, operating systems, security and cryptography.
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Siri, Privacy, and Trust
We should expect Apple to lead the industry on this front, but in fact, they’re far behind.
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Inverting PhotoDNA
Ribosome inverts Microsoft PhotoDNA hashes using machine learning.
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Four pitfalls of hill climbing
An animated look at local maxima, novelty effects, differentiation, emergent maxima.
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Singular Value Decomposition Part 2: Theorem, Proof, Algorithm
I’m just going to jump right into the definitions and rigor, so if you haven’t read the previous post motivating the singular value decomposition, go back and do that first. This post will be theorem, proof, algorithm, data. The data set we test on is a thousand-story CNN news data set. All of the data, code, and…
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Tversky Neural Networks
Psychologically Plausible Deep Learning with Differentiable Tversky Similarity
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DeepSeek-v4.1 Flash: Pushing the Limits of KV Cache Compression
A deep dive into the DeepSeek-V4.1 Flash technical report: CED, CSA2, HSI, Single-Pass mHC, Engram and FP4 KV Cache — how the KV cache was compressed to just 890 bytes per token.
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"ChatGPT said this" Is Lazy
When you paste ChatGPT’s response instead of your own feedback, you’re not being helpful. You’re being lazy and creating more work for everyone.
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If writing is thinking then what happens if AI is doing the writing and reading?
Then what happens if AI is doing the writing and reading?
2450
Hostile AI: You're soaking in it
I was in a Facebook discussion about “Friendly Artificial Intelligence” — this is a buzzword from the Singularity Institute people. They be...
2451
Stop using natural language interfaces
Natural language is a wonderful interface, but just because we suddenly can doesn't mean we always should.
2452
I turned Markdown into a protocol for generative UI
An AI assistant that builds reactive UIs mid-conversation — forms, streaming data, callbacks — using markdown code fences and a mount() UI primitive.
2453
How to Optimize a CUDA Matmul Kernel for CuBLAS-Like Performance: A Worklog
In this post, I’ll iteratively optimize an implementation of matrix multiplication written in CUDA.My goal is not to build a cuBLAS replacement, but to deepl...
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Reasonable Effectiveness of the Multiplicative Weights Update Algorithm (2017)
papad Hard to believe Sanjeev Arora and his coauthors consider it “a basic tool [that should be] taught to all algorithms students together with divide-and-conquer, dynamic programming, and random sampling.” Christos Papadimitriou calls it “so hard to believe that it has been discovered five times and forgotten.” It…
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Attention Wasn't All We Needed
Personal blog of Stephen Diehl - Software engineer writing about technology, programming, and the future
2457
Two Weeks of Colorizebot
About two weeks ago we released ColorizeBot to wander around Reddit. This Reddit bot has started by coloring images on r/OldSchoolCool and a day after, spread all over Reddit. The bot was based on a pre-trained neural network - More information on the netwrok can be found here. After
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Shape Rotation 101: An Intro to Einsum and Jax Transformers
Acknowledgements First, I would like to acknowledge my friends and kind internet strangers who helped me with this post. This post heavily adapts from ...
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Self Supervised Learning in NLP
An overview of self-supervised pretext tasks in Natural Language Processing
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Towards deep symbolic reinforcement learning
Towards deep symbolic reinforcement learning Garnelo et al, 2016 Every now and then I read a paper that makes a really strong connection with me, one where I can’t stop thinking about the imp…