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Why didn't AI “join the workforce” in 2025?
Exactly one year ago, Sam Altman made a bold prediction: “We believe that, in 2025, we may see the first AI agents ‘join the workforce’ ... Read more
Top posts
Every blog post that took off on Hacker News, ranked by the votes of its best submission. 6,329 posts.
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Is AI the next crypto? Insights from HN comments
The OpenPipe platform has migrated to Weights & Biases and CoreWeave. Browse migration details and the OpenPipe technical archive.
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The trust collapse: Infinite AI content is awful
Content is infinite and free now. Trust isn't. We're abandoning digital channels entirely because we can't tell what's real anymore.
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What if you don't need MCP at all?
Got Bash and some code interpreter? Skip MCP.
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Beware of AI pseudoscience and snake oil
Writing at the end of the world, from Hveragerði, Iceland
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When I reject AI code even if it works
AI can make implementation cheap while making review and judgment more expensive.
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I want flexible queries, not RAG
There is a lot of excitement around retrieval augmented generation or “RAG.” Roughly the idea is: some of the deficiencies in current generative AI or large language models (LLMs) can b…
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Study urges caution when comparing neural networks to the brain
Neuroscientists often use neural networks to model the kind of tasks the brain performs, in hopes that the models could suggest new hypotheses regarding how the brain itself performs those tasks. But a group of MIT researchers urges that more caution should be taken when interpreting these models.
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Run your own DALL-E-like image generator
Run your own text to image prompts with CUDA, a bunch of disk space, and an insane amount of memory.
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Pushing the frontiers of audio generation
Our pioneering speech generation technologies are helping people around the world interact with more natural, conversational and intuitive digital assistants and AI tools.
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Scaling Karpathy's Autoresearch: What Happens When the Agent Gets a GPU Cluster
Karpathy's autoresearch runs one experiment at a time. We gave it access to our GPU infra and let it run experiments in parallel.
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The lifecycle of a code AI completion
Demystifying code AI: Learn how Cody analyzes context, retrieves references, prompts models, and refines completions behind the scenes.
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The model is the product
Old data, new models
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Artificial intelligence accelerates discovery of metallic glass
Machine learning algorithms pinpoint new materials 200 times faster than previously possible
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Why the original transformer figure is wrong, and some other tidbits about LLMs
A few months ago, I shared the article, Understanding Large Language Models: A Cross-Section of the Most Relevant Literature To Get Up to Speed, and the positive feedback was very motivating!
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Illustrated FixMatch for semi-supervised learning
Learn how to leverage unlabeled data using FixMatch for semi-supervised learning
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Data Science from Scratch: First Principles with Python
I am super-excited to announce that the book I've been working on for more than the last year, Data Science from Scratch: First Principles with Python is finally available! (buy from O'Reilly, use...
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A Visual Guide to Vision Transformers
This is a visual guide (scroll story) to Vision Transformers (ViTs), a class of deep learning models that have achieved state-of-the-art performance on image classification tasks.
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AI and the Destruction of the Creative Commons
The balance of software copyright protection and openness has always been fraught with minutiae and detail that bores all but the most nerdy of pedants. Yet, through much effort and 40 years of debate we had reached an equilibrium. Now AI has thrown that out the window.
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AI's economics don't make sense
If you liked this piece, please subscribe to my premium newsletter. It’s $70 a year, or $7 a month, and in return you get a weekly newsletter that’s usually anywhere from 5,000 to 18,000 words, including vast, detailed analyses of NVIDIA, Anthropic and OpenAI’s finances,
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Go is a good fit for agents
Golang might just be the best language for building AI agents.
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Open Philanthropy Project awards a grant of $30M to OpenAI
Coefficient has directed over $7 billion in grants since 2014. Our mission is to help others as much as we can with the resources available to us.
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World Building with GPT
I’ve been doing lots of experiments with GPT , though I’ve only written about one until now… the more serious something is the harder it is to call it finished or identify the outcomes. Here I’ll describe something a bit lighter: world building, or specifically city building, with GPT .
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Trying out QvQ – Qwen's new visual reasoning model
I thought we were done for major model releases in 2024, but apparently not: Alibaba’s Qwen team just dropped the Apache 2.0 licensed Qwen licensed (the license changed) QvQ-72B-Preview, “an …
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Toad is a unified experience for AI in the terminal
My startup for terminals wrapped up mid-2025 when the funding ran dry. So I don’t have money, but what I do have are a very particular set of skills. Skills I have acquired over a very long career convincing terminals they are actually GUIs.
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RedPajama v2 Open Dataset with 30T Tokens for Training LLMs
RedPajama-Data-v2 is a 30 trillion token open dataset from 84 CommonCrawl dumps across five languages, with over 40 precomputed quality annotations.
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Caffe2: Open Source Cross-Platform Machine Learning Tools
Training and deploying AI models is often associated with massive data centers or super computers, with good reason. The ability to continually process, create, and improve models from all kinds of information: images, video, text, and voice, at massive scale, is no small computing feat. Deploying these models on…