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LLMs may have helped my RSI
Just a place to store my random thoughts and contributions to the world.
Topics /
AI & Machine Learning
The most popular blog posts about ai & machine learning on Hacker News. 3,092 posts.
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How much of HN is AI?
TL;DR: 62% as of September 2026. This is up from ~40% in February.
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The state of modern AI text to speech systems for screen reader users
If you're not a screen reader user yourself, you might be surprised to learn that the text to speech technology used by most blind people hasn't changed in the last 30 years. While text to speech has taken the sighted world by storm, in everything from personal assistants to GPS to telephone systems, the voices used…
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AI has poisoned its own well
What will happen to GPT-{n} once LLMs contribute much of the language found online? We find that use of model-generated content in training causes irreversible defects in the resulting models, where tails of the original content distribution disappear. We refer to this effect as Model Collapse and show that it can…
3006
LLM Falcon 180B Needs 720GB RAM to Run
Yes, if you have enough CPU RAM
3007
Computational Synesthesia: Audio Analysis with Image Processing Algorithms
The blog post was written in an IPython Notebook. You can download the notebook here .
3008
PyTorch at the Edge: Deploy 964 TIMM Models on Android with TorchScript
Learn and deploy over 900+ cutting edge PyTorch classification models on Android.
3009
Crypto grifters are recruiting open-source AI developers
Two recently-hyped developments in AI engineering have been Geoff Huntley’s “Ralph Wiggum loop” and Steve Yegge’s “Gas Town”. Huntley and Yegge are both…
3010
Neanderthal vs. ND4J – Native Performance, Java and CPU
Today, Java has a choice of a few well maintained libraries that can use Intel's MKL for fast native operations. MKL is basically as fast as you can get toda...
3011
Building ML framework with Rust and Category Theory
A modular, compile-checked tutorial for learning category-theory ideas through a tiny Rust ML pipeline.
3012
Training and aligning LLMs with RLHF and RLHF alternatives
I frequently reference a process called Reinforcement Learning with Human Feedback (RLHF) when discussing LLMs, whether in the research news or tutorials.
3013
Compiling Julia for NVIDIA GPUs
For the few last months, I have been working on CUDA support for the Julia language . It is now possible to write kernels in Julia and without much hassle execute them on a NVIDIA GPU, but there are still many limitations.
3014
The Continual Learning Problem
A perspective on continual learning, motivating our paper on sparse memory finetuning
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Why Bigger Isn’t Always Better with GANs and AI Art
AI art using GANs (generative adversarial networks) is new enough that the art world does not understand it well enough to evaluate it. We saw this unfold last month when the French artists’ collective Obvious stumbled into selling their very first AI artwork for $450K at Christie’s . Many in th
3017
AI has torched the market for junior programmers
Junior programmers are getting destroyed by AI — down 19%, while devs over 40 thrive. Meanwhile, millions of non-developers are shipping real software without the job title. The credential market collapsed; the activity exploded. The problem: nobody's building the next generation of senior engineers.
3018
Turing awardees republished key methods and ideas without credit
Whose Creators They Failed to Credit
3019
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If AI can read, then plain text can be weaponized (2019)
Advances in AI have helped automate many tasks that involve processing text. However, text-processing AI algorithms have their own unique vulnerabilities, researchers at IBM, Amazon and University of Texas have found.
3021
Measuring the impact of AI scams on the elderly
We worked with Reuters to measure the impacts of AI scams on the elderly
3022
Using AI to secure AI
One of Anthropic's quieter releases recently was their "Security Review," where Claude Code can identify and fix security issues in your code. But how good is it really? In my case, will it find issues with code it helped me write for my newsletter service…
3023
Understanding Tool Calling in LLMs – Step-by-Step with REST and Spring AI
| Learn how to implement OpenAI-style tool calling — from raw REST to elegant Spring AI annotations. Includes real code, diagrams, and…
3024
Machine Learning for Hackers Table of Contents
ZIA is a place for me to “think out loud,” about my current and future research. As the author, my goals are to share my ideas, highlight new research, and possibly develop new tools along the way.
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Machine Learning for Drummers
TL;DR: In this post, I build an app that classifies whether an audio sample is a kick drum, snare drum, or other drum sample with 87% accuracy using 🎉machine learning. 🎉
3028
Using JAX, numpy, and optimization techniques to improve separable image filters
By the end of this blog post, we aim to improve the results of my previous blog post of approximating circular bokeh with a sum of 4 separable filters and reducing its artifacts (left) through an o…
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Raising Children on the Eve of AI
How do we prepare them for what we're not prepared for?