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We’ll call it AI to sell it, machine learning to build it
An AI Public Service Announcement
Topics /
AI & Machine Learning
The most popular blog posts about ai & machine learning on Hacker News. 402 posts.
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AI’s big rift is like a religious schism
The cult-like battles between e/acc and doomers
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The AI Trust Crisis
Dropbox added some new AI features. In the past couple of days these have attracted a firestorm of criticism. Benj Edwards rounds it up in Dropbox spooks users with new …
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ChatGPT and Code Interpreter = Magic
tl;dr: OpenAI is testing the ability to run code and use third-party plugins in ChatGPT. OpenAI has announced that we’re developing plugins for ChatGPT that will extend its capabilities. [Link] Plu…
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PyTorch for WebGPU
TL;DR I’ve been working on a WebGPU optimized inference and autograd library called webgpu-torch with an API that matches PyTorch. The goal is to run neural networks in the browser at speeds comparable to a Linux workstation. Many kernels have been implemented and its design is easily extensible. It’s available on NPM…
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Natural language is the lazy user interface
A chatbot is the lazy user interface. It puts all the burden on the user to articulate good questions.
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It’s infuriatingly hard to understand how closed models train on their input
One of the most common concerns I see about large language models regards their training data. People are worried that anything they say to ChatGPT could be memorized by it …
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OpenAI's Foundry leaked pricing says a lot
GPT4, the start of The Great Implementation, a move from Generative to Productive AI, OpenAI's safety & growth strategies, and the future of work.
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Understanding large language models: A cross-section of the relevant literature
A Cross-Section of the Most Relevant Literature To Get Up to Speed
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A non-technical explanation of deep learning
This document will explain what neural networks are and how they work, which will help you understand how AI and machine learning work. In the scenario below you'll play the part of the neural network.
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Pushing ChatGPT's Structured Data Support to Its Limits
“Function calling” with ChatGPT is ChatGPT’s best feature since ChatGPT.
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We're sorry we created the Torment Nexus
( This is the text of a talk I delivered at the Next Frontiers Applied Fiction Day in Stuttgart on Friday November 10th, 2023. Note: early draft, contains some typos, I'll fix them next week when I get home. )
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"Attention", "Transformers", in Neural Network "Large Language Models"
I find this literature irritating and opaque. This is at least somewhat because I do not yet understand it well, and there's too much of it. But clearly I need to wrap my head around it, before I become technically obsolete. My scare quotes in the title of these notes thus derive in part from jealousy and fear. But…
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A misleading open letter about sci-fi AI dangers ignores the real risks
Misinformation, labor impact, and safety are all risks. But not in the way the letter implies.
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Stochastic gradient descent written in SQL
Edit – this post generated a few insightful comments on Hacker News. I’ve also put the code in a notebook for ease of use. Introduction Modern MLOps is complex because it involves too many components. …
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Text Is All You Need
Personhood appears to be simpler than we thought
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Certified 100% AI-free organic content
This is a last call to introduce a "made by an organically-sourced human" label.
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I used GPT to build a search tool for my second brain note-taking system
In this post, I discuss how I used GPT embeddings to build a smart search tool for my second brain note-taking system.
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Creating a landing page using AI tools and no code
A step-by-step guide to making a landing page with AI and no-code tools: AI-written code and copy, fonts, colour palettes, images, audio and video.
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Now add a walrus: Prompt engineering in DALL-E 3
Last year I wrote about my initial experiments with DALL-E 2, OpenAI’s image generation model. I’ve been having an absurd amount of fun playing with its sequel, DALL-E 3 recently. …
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Reddit is OpenAI’s moat
Interpreting Reddit's API changes in light of how it serves OpenAI.
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Deep Neural Nets: 33 years ago and 33 years from now (2022)
Musings of a Computer Scientist.
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LLM Powered Autonomous Agents
Building agents with LLM (large language model) as its core controller is a cool concept. Several proof-of-concepts demos, such as AutoGPT, GPT-Engineer and BabyAGI, serve as inspiring examples. The potentiality of LLM extends beyond generating well-written copies, stories, essays and programs; it can be framed as a…
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Artificial General Intelligence – A gentle introduction
[On-line document since 2007, last updated in September 2026] [Translations: 中文 , Español , lietuvių kalba ]
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From Python to Elixir Machine Learning
Moving on from Python Machine Learning might seem impossible. Let me break down why and how you can do it.