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The jobs being replaced by AI – an analysis of 5M freelancing jobs
Last Updated: January 23, 2026There’s no question that AI will impact jobs. But which jobs are more likely…
Topics /
AI & Machine Learning
The most popular blog posts about ai & machine learning on Hacker News. 3,092 posts.
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Don't Use AI to Write
Writing requires thinking, don't let an AI do the thinking for you.
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Do NLP Beyond English
7000+ languages are spoken around the world but NLP research has mostly focused on English. This post outlines why you should work on languages other than English.
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AI must RTFM: Why tech writers are becoming context curators
I’ve been noticing a trend among developers that use AI: they are increasingly writing and structuring docs in context …
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Faster Python calculations with Numba
Python-based calculations, especially those that use NumPy, can run much faster by using the Numba library.
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AI helps add 10k more photos to OldNYC
Over the past two years I’ve quietly rebuilt major parts of the OldNYC photo viewer . The result: 10,000 additional historic photos on the map , more accurate locations, and a site that’s cheaper and easier to run—thanks to modern AI tools and the OpenStreetMap ecosystem.
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Reading across books with Claude Code
In which we teach an agent to read syntopically.
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Visualizing Bayes Theorem (2009)
I recently came up with what I think is an intuitive way to explain Bayes’ Theorem. I searched in google for a while and could not find any article that explains it in this particular way.
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Review: The Book of Why
The Book of Why: The New Science of Cause and Effect is a collaborative effort aimed at a general audience by Judea Pearl , a professor of computer science at UCLA, and Dana Mackenzie , a science writer. As a medical student with a laughably poor formal education in statistics, I believe I qualify as a card-carrying…
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LLM tech comes to Wolfram Language
Wolfram's Version 13.3 includes a subsystem around LLMs plus new functionality in integrals, special functions, finite fields, computational geometry, live highlighting in visualizations, AR & VR deployment. See examples for those and dozens of other enhancements.
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LLMs know more than what they say
... and how that provides winning evals
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A Short Chronology of Deep Learning for Tabular Data
Occasionally, I share research papers proposing new deep learning approaches for tabular data on social media, which is typically an excellent discussion…
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Flare: Clojure Dynamic Neural Net Library
I wrote Flare, a Dynamic Neural Net library in Clojure.
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Introduction to Bert
Unless you have been out of touch with the Deep Learning world, chances are that you have heard about BERT — it has been the talk of the town for the last one year. At the end of 2018 researchers …
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"AI, no ads please": 4 words to wipe out $1T
Introducing a series on AI vs. ads
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Rise of generative AI will be comparable to the rise of CGI in the early 90s
My chat with Cristóbal Valenzuela, Cofounder & CEO of Runway .
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A Model of a Mind
This article explains a simple model of how minds might work. I’m motivated by the success of AI-based language models to look at the future of digital minds. I’ll present a conceptual data-flow architecture that can account for several key features of minds: the ability to initiate actions (agency), learning…
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I turned my unused Kindle into a photo frame with GPT-6 Astra
I turned my unused Kindle into a photo frame with an AI agent.
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How AI text watermarking works
A gentle visual guide to how a statistical mark hides inside generated text, and what erases it.
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What my dad taught me about AI coding in the 90s
It was a summer holiday, sometime in the late 1990s. I was a young kid, around 8 or so. My dad had taught me the rules of chess before and we played from time to time. But this time was different: As we were about to start he stood up and walked away from the board, sitting down in a chair across the room and facing…
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Gradients Are the New Intervals
At the New England Symposium on Graphics , James Tompkin compared graphics researchers to magpies: they're easily distracted by shiny objects and pretty renderings.
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Einsum Is All You Need – Einstein Summation in Deep Learning (2018)
Tim Rocktäschel — Co-Founder and Chief Scientist of Recursive; Professor of AI at UCL. Artificial General Intelligence, Open-Endedness, and Recursive Self-Improvement.
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Everything I've learned so far about running local LLMs
Over the past month I’ve been exploring the rapidly evolving world of Large Language Models (LLM). It’s now accessible enough to run a LLM on a Raspberry Pi smarter than the original ChatGPT (November 2022). A modest desktop or laptop supports even smarter AI. It’s also private, offline, unlimited, and…
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Predict the future with Machine Learning
Learn Machine Learning (ML) and be ahead of the pack in the Software industry. Machine Learning is a sub-field of Artificial Intelligence (A.I), which is heavily used in modern software systems. Machine Learning algorithms can improve software (a robot) and it's ability to solve problems through gaining experience and…
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LLM Neuroanatomy II: Modern LLM Hacking and Hints of a Universal Language?
In Part 1, I described how duplicating a block of seven middle layers in Qwen2-72B — no weight changes, no training — produced the #1 model on the HuggingFace Open LLM Leaderboard. The method, which I called RYS (Repeat Your Self), was discovered using nothing but hard math probes and EQ-Bench on a pair of RTX 4090s.
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Intro to TLA+ for the LLM Era: Prompt Your Way to Victory
You can go far without writing TLA+ syntax now, but you still need to understand temporal logic.
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