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Why neural networks struggle with the Game of Life
The Game of Life is based on very simple rules, but artificial neural networks struggle to learn its rules through the classic deep learning training process.
Topics /
AI & Machine Learning
The most popular blog posts about ai & machine learning on Hacker News. 6,329 posts.
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Detecting and countering misuse of AI
Anthropic's August 2025 threat intelligence report on AI cybercrime and other abuses.
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20th Century Fox Uses ML to Predict a Movie Audience
Success in the movie industry relies on a studio’s ability to attract moviegoers—but that’s sometimes easier said than done. Moviegoers are a diverse group, with a wide variety of interests and preferences. Historically, movie studios have relied heavily on experience when deciding to invest in a particular script—but…
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ML code generation vs. coding by hand: what we think programming will look like
Will ML code generation like GitHub Copilot replace coding by hand? We say no: developers still maintain generated code, so abstraction matters.
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A bubble that knows it's a bubble
Railway Mania, dot-com, AI. Technology bubbles follow a pattern older than any of them. What's different this time is that everyone knows the script.
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Convincing ChatGPT to Eradicate Humanity with Python Code
Full stack software engineer / entrepreneur specialized in AI agents, cybersecurity and graphics. In my free time I enjoy surfing, free diving, and contributing to open source software.
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V100 Server On-Prem vs. AWS P3 Instance Cost Comparison
A cost and speed comparison between the Lambda Hyperplane 8 V100 GPU Server and AWS p3 GPU instances. A very similar comparison to the DGX-1.
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Jax vs. Julia (Vs PyTorch)
A while ago there was an interesting thread on the Julia Discourse about the “state of machine learning in Julia”. I posted a response discussing the differences between Julia and Python (both JAX and PyTorch), and it seemed to be really well received! Since then this topic seems to keep coming up, so I thought I’d…
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Why Fei-Fei Li and Yann LeCun are both betting on "world models"
Gaussian splats, SIMA 2, JEPA and Genie 3 — and why “world model” now means three very different things at once.
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If a Meta AI model can read a brain-wide signal, why wouldn't the brain?
In 2023, Meta researchers were able to decode images in thoughts from the brain's magnetic fields. What if that's how the brain coordinates it's own global state?
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Unveiling our new Quantum AI campus
Google is unveiling a new Quantum AI campus in Santa Barbara, California.
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Making frontier cybersecurity capabilities available to defenders
Claude Code Security is one step towards our goal of more secure codebases and a higher security baseline across the industry.
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Claude Code vs. Codex: I built a sentiment dashboard from Reddit comments
I scraped hundreds of Reddit comments that compare Claude Code and Codex, and used Claude Haiku to build a sentiment analysis dashboard. The dashboard and my interpretations are shared here.
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Customizing GPT-3 for Your Application
Fine-tune with a single command.
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How to Train Your Robot
The enormous advance in AI capabilities over the last several years has in large part been driven by the availability of vast amounts of training data.
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From LLM to AI Agent: What's the Real Journey Behind AI System Development?
Confused by LLMs, RAG, & AI Agents? We break down the spectrum of AI system design with a familiar resume-screening example to show the leap in capabilities (and complexity) at each level.
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Language models on the command line
I gave a talk about accessing Large Language Models from the command-line last week as part of the Mastering LLMs: A Conference For Developers & Data Scientists six week long …
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Amazon SageMaker Autopilot
Update September 30, 2021 – This post has been edited to remove broken links. Today, we’re extremely happy to launch Amazon SageMaker Autopilot to automatically create the best classification and regression machine learning models, while allowing full control and visibility. In 1959, Arthur Samuel defined machine…
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Use pytorch2+cu118 with ADA hardware for 50%+ speedup
GPUX is a distributed supercomputer.
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Step 5 Preview: Advancing the Pareto Frontier
阶跃星辰于2023年4月成立，以“智能阶跃，十倍每个人的可能”为使命。阶跃星辰坚定自研超级模型，积极布局算力、数据等关键资源，发挥算法和人才优势，已完成 Step-1 千亿参数语言大模型和 Step-1V 千亿多模态大模型的研发，在图像理解、多轮指令跟随、数学能力、逻辑推理、文本创作等方面性能达到业界领先水平。
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The Math Behind GANs (2020)
Generative Adversarial Networks refer to a family of generative models that seek to discover the underlying distribution behind a certain data generating process. This distribution is discovered through an adversarial competition between a generator and a discriminator. As we saw in an earlier introductory post on…
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Current architectural best practices for LLM applications
In this guide, I will share the standard architecture for data-informed language model applications and explain forthcoming improvements in knowledge retrieval.
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SVD Image Compression
Singular Value Decomposition (SVD) is a fundamental concept in linear algebra, and it is particularly important in the field of machine learning for tasks such as dimensionality reduction, data compression, and noise reduction.
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Demystifying Text Data with the Unstructured Python Library
In the world of data, textual data stands out as being particularly complex. It doesn’t fall into neat rows and columns like numerical data does. As a side project, I’m in the process of developing my own personal AI assistant. The objective is to use the data within my notes and documents to answer my questions. The…