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The secret sauce of TikTok’s recommendations
Dive into the inner workings of TikTok’s awesome real-time recommendation system and learn what makes it one of the best in the field!
Topics /
AI & Machine Learning
The most popular blog posts about ai & machine learning on Hacker News. 6,331 posts.
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Meta.ai Oh My
“Meet Your New Assistant” says the announcement , going on with “Built With Llama 3”. And oh my goodness has it ever got a lot of coverage. So I thought I might as well try it.
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What makes 5% of AI agents work in production?
Beyond the Prompt: Notes from the Context Frontier
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Intelligence Is Not the Main Bottleneck
Confessions of a naive hamster: why the smartest people in the room keep missing that intelligence is often not the main bottleneck in the real world
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Intelligence is a commodity. Context is the real AI Moat
My thesis on the AI-first society and the future of software
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Asking Gemini 3 to generate Brainfuck code results in an infinite loop
Asking Gemini 3 to generate Brainf*ck code results in an infinite loop, akin amost to a DDoS attack:
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Cerebras systems raises $1.1B Series G
Cerebras powers the world's fastest AI inference on the biggest wafer chip. Cerebras CS-4 delivers up to 30x faster inference than GPUs.
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I tested 10 model/harness combinations on the same Three.js task
I've been testing a simple prompt with different model and harness combinations to work out which one produces best results. I do this in /goal mode.
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Quantum computers: amazing progress, but probably false supremacy claims
A 2017 cartoon from this post. After the embargo update (Oct 25): Now that I have some answers from the people involved let me make a quick update: 1) I still find the paper unconvincing, specific…
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LLM-based sentiment analysis of Hacker News posts between Jan 2020 and June 2023
We analyzed topics covered by 100k Hacker News posts and the sentiments they evoke using Metaflow.
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Understanding Agent Cooperation
We employ deep multi-agent reinforcement learning to model the emergence of cooperation. The new notion of sequential social dilemmas allows us to model how rational agents interact, and arrive at more or less cooperative behaviours depending on the nature of the environment and the agents’ cognitive capacity. The…
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Generating faces of cats using Generative Adversarial Networks
I experimented with generating faces of cats using Generative adversarial networks (GAN). I wanted to try DCGAN, WGAN and WGAN-GP in low and higher resolutions. I used the CAT dataset (yes this is …
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"Wait, not like that": Free and open access in the age of generative AI
The real threat isn’t AI using open knowledge — it’s AI companies killing the projects that make knowledge free
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Stephen Wolfram’s Introduction to Wolfram Alpha (screencast)
Building the ultimate computational knowledge engine is a highly ambitious and long-term project. The Wolfram|Alpha that you will get to start exploring next week is really just the beginning. Still, there are a lot of ways that you might use Wolfram|Alpha.
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VideoPoet A large language model for zero-shot video generation
A Large Language Model for Zero-Shot Video Generation. VideoPoet demonstrates simple modeling method that can convert any autoregressive language model into a high quality video generator.
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Pico.js – A face-detection library in 200 lines of JavaScript (2018)
We introduce pico.js , a face-detection library written in JavaScript, and show how it works. Although similar projects already exist, our goal is to provide a smaller and computationally more efficient alternative.
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Announcing Sift Science: fight fraud with large-scale machine learning
Expert insights on payment fraud, account takeover, chargebacks and digital trust from the team behind Sift's fraud prevention platform.
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Learning to prove theorems via interacting with proof assistants
Learning to prove theorems via interacting with proof assistants Yang & Deng, ICML’19 Something a little different to end the week: deep learning meets theorem proving! It’s been a while …
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Understanding gradient descent
Gradient descent is a standard tool for optimizing complex functions iteratively within a computer program. Its goal is: given some arbitrary function, find a minumum. For some small subset of functions - those that are convex - there's just a single minumum which also happens to be global. For most realistic…
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Better Gaussian Splatting in Julia
use WASD + Mouse or tap on the screen to walk around :) Amulet of St. Michael in Kyiv, Ukraine (reconstructed with GaussianSplatting.jl, ~6M Gaussians)
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Diffusion models are evolutionary algorithms
Authors: Yanbo Zhang, Benedikt Hartl, Hananel Hazan, Michael Levin
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Hacking Diffusion into Qwen3 for the Arc Challenge
A deep dive into ongoing efforts adapting language models for diffusion-based ARC solving.
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Generating music with expressive timing and dynamics
We present Performance RNN, an LSTM-based recurrent neural network designed to model polyphonic music with expressive timing and dynamics. Here’s an example...
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Building voice agents with Nvidia open models
Build an ultra-low-latency voice agent with NVIDIA open models. Learn how Nemotron Speech ASR achieves sub-25ms transcription, how Nemotron 3 Nano LLM and Magpie TTS work together, and how to optimize architecture for real-time voice AI deployment.
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Elasticsearch Based Image Search Using RGB Signatures
In my previous post , I described some experiments I was doing to reduce images to a Bag of Visual Words (BOVW) . My goal is to build a Con...
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Model Predictive Control in the Browser with WebAssembly
wrenfold is a framework for converting symbolic mathematical expressions (written in Python) into generated numerical code in other languages (C++, Rust, Python). It aims to bridge the gap between prototyping of functions in expressive symbolic form, and performant production code. wrenfold is particularly relevant to…
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