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Topics /
AI & Machine Learning
The most popular blog posts about ai & machine learning on Hacker News. 3,092 posts.
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I stopped using AI code editors
In the past I used AI code editors for all of my programming, but I stopped using it and recommend others to consider this as well
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Comma.ai, self-driving cars and indefinite optimism
comma.ai gets punished for being open, so why would anyone even bother?
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Why AutoGPT engineers ditched vector databases
AutoGPT decided to drop the support for vector databases: Pinecone, Milvus, Redis, Weaviate - all gone. What has happened to the original idea of efficiently storing agent's memories?
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Building an AI agent inside a 7-year-old Rails monolith
We run a multi-tenant Rails application with sensitive data and layered authorization. In this post, I walk through how I added the first AI agent tool using RubyLLM, Pundit policies, and our existing Algolia search, without introducing a parallel system or loosening constraints.
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Computation Graphs and Graph Computation
Research has begun to reveal many algorithms can be expressed as matrix multiplication, suggesting an unrealized connection between linear algebra and computer science. I speculate graphs are the missing piece of the puzzle. Graphs are not only useful as cognitive aides, but are suitable data structures for a wide…
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In Response to Google
Google has chosen to send a response to my article to Barry Schwartz of Search Engine Roundtable. Here is my response. (1) On the March 2019 core update claim in the piece: This is baseless speculation. The March 2019 core update was designed to improve the quality of our search
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Your CEO is suffering from AI psychosis
This isn’t a joke, and it’s becoming a big problem
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A Theory of Sequence Memory in Neocortex
Why neurons have thousands of synapses, a theory of sequence memory in neocortex Hawkins & Ahmad, Front. Neural Circuits 2016 It all began with a fascinating lunchtime conversation with Martin …
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The State of Probabilistic Programming
For two weeks last July, I cocooned myself in a hotel in Portland, OR, living and breathing probabilistic programming as a “student” in the probabilistic programming summer school run by DARPA. The…
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Algorithm efficiency comes from problem information
This is a high level post about algorithms (especially mathematical, scientific, and data analysis algorithms) which I hope can help people who are not researchers or numerical software developers better understand how to choose and evaluate algorithms. When scientists and programmers think about efficiency of…
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Explorative modeling: Train on the best of K guesses
What in the world is Explorative Modeling?
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GeoGuessing with Deep Learning
Applying photo geolocation estimation to the game of GeoGuessr.
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The AI Marketing BS Index
You may already be aware of John Baez’s “Crackpot Index” , which provides a simple tongue-in-cheek scoring system for assessing whether a research contribution to physics is likely “revolutionary.” The list contain such gems as “40 points for comparing yourself to Galileo, suggesting that a modern-day Inquisition is…
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How to build an Anti Aircraft Missile: Bayes’ Theorem and the Kalman Filter
Ever wondered how an Anti Aircraft Missile works? A plane can move at different speeds and altitudes, so how do you know when to fire your missile? Well you need to know two things: where the aircr…
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AI Mafia Network – An interactive visualization
An interactive visualization — based on the Acquired Google Podcast Credits to Ben and David (who also appreciated this graph in the Acquired internal Slack!).
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Gaussian Processes Are Not So Fancy
Gaussian Processes have a mystique related to the dense probabilistic terminology that's already evident in their name. But Gaussian Processes are just models, and they're much more like k-nearest neighbors and linear regression than may at first be apparent.
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AI employees don't pay taxes
Principal software engineer with deep experience in full-stack TypeScript, custom web browsers and real-time, media-focused systems.
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LLM discourse needs more nuance
With this write-up, I want to outline my current thinking around large language models like OpenAI's chatGPT.
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AI isn't going to kill the software industry
I feel like half of my social media feed is composed of AI grifters saying software developers are not going to make it. Combine that sentiment with some economic headwinds and it's easy to feel like we're all screwed. I think that's bullshit. The best days of our industry lie ahead.
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Naur's "Programming as Theory Building" and LLMs replacing human programmers
In this essay, I will perform the logical fallacy of argument from authority (wikipedia.org) to attack the notion that large language model (LLM)-based generative "AI" systems are capable of doing the work of human programmers.
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Why are there no antitrust claims vs. GitHub Copilot, when there is a precedent?
Microsoft GitHub released CoPilot last year, a tool for generating code and auto-completion, that’s been trained on vast amount of open source code, notably all open source code hosted on Git…
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The AI Vampire
This was an unusually hard post to write, because it flies in the face of everything else going on.
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Don’t use AI to write things that you present as your own work
...also don't tell lies. But I'm getting ahead of myself already. I keep running into people online who openly say that they use AI to do their writing for t
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ChatGPT is really good at roleplaying
ChatGPT is really good at roleplaying as strange and unusual characters with minimal prompting.
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The A.I. business influencer guys must be stopped
Please let's stop predicting the future of A.I.