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How we measured AI writing across arXiv, and where the measurement breaks
I scored the full text of over 12,000 arXiv papers from 2021 to 2026 across ten different fields and found that about a third of the papers currently…
Topics /
AI & Machine Learning
The most popular blog posts about ai & machine learning on Hacker News. 6,325 posts.
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AI Saved My Company from a 2-Year Litigation Nightmare
After 2+ years and a tremendous waste of energy and money, my firm Calm Company Fund resolved a lawsuit against us on very favorable terms. What started as one of the most challenging periods of my life became an unexpected masterclass in using AI to level the playing field against well-funded opponents. If you’re…
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Lumo: Privacy-first AI assistant
Lumo gives you the power to solve problems big and small, while keeping your personal data confidential. Try it now.
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HipKittens: Fast and furious AMD kernels
multi silicon ai is coming
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Deep Learning Is Easy – Learn Something Harder
Caveat: This post is meant address people who are completely new to deep learning and are planning an entry into this field. The intention is to help them think critically about the complexity of the field, and to help them tell apart things that are trivial from things that are...
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xAI dev leaks API key for private SpaceX, Tesla LLMs
An employee at Elon Musk’s artificial intelligence company xAI leaked a private key on GitHub that for the past two months could have allowed anyone to query private xAI large language models (LLMs) which appear to have been custom made for working with internal data from Musk’s companies, including SpaceX , Tesla and…
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Neural Networks Are Impressively Good at Compression
I’m trying to get into neural networks. There have been a couple big breakthroughs in the field in recent years and suddenly my side project of messing around with programming languages seeme…
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Roboschool: open-source software for robot simulation
Stay up to speed on the rapid advancement of AI technology and the benefits it offers to humanity.
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He asked AI to count carbs 27000 times. It couldn't give the same answer twice
Ask ChatGPT to estimate the carbs in your lunch. Now ask it again. And again. Five hundred times. You’d expect the same answer each time. It’s the same photo, the same model, the same question. But you won’t get the same answer. Not even close — and the differences are large enough to cause a
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LLMs confabulate not hallucinate
Minor terminological nitpick. People often describe the LLM as ‘hallucinating’ information whenever it makes up information which seems like it should fit for a given query even when it is trivially false. While evocative, this isn’t actually correct terminology. We already have a perfect word for this precise…
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Gemini's "uselessness" is its killer feature
So it’s borderline useless for all but the simplest use cases, and even there it does a very subpar job. I’d like to have an inline image every now and then, or organize things in some multi-column layouts or the like, or a table. 19th century newspapers could do this, and if your technology can’t emulate typography…
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Spatial intelligence is AI’s next frontier
In 1950, when computing was little more than automated arithmetic and simple logic, Alan Turing asked a question that still reverberates today: can machines think?
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Qwen3-Coder writes less secure code when told it's for a US persona
Chinese coding models write less secure code for Beijing's adversaries. On Qwen3-Coder, we traced the gap to the weights and closed it by removing the model's CCP alignment.
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Fooling Neural Networks in the Physical World with 3D Adversarial Objects
We've developed an approach to generate 3D adversarial objects that reliably fool neural networks in the real world, no matter how the objects are looked at.
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Building a Language and Compiler for Machine Learning
Since we originally proposed the need for a first-class language, compiler and ecosystem for machine learning (ML), there have been plenty of interesting developments in the field. Not only have the tradeoffs in existing systems, such as TensorFlow and PyTo...
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Hacking Flappy Bird with Machine Learning
This is a hack for the popular game, Flappy Bird. Although the game is no longer available on Google Play or the App Store, it did not stop folks from creating very good replicas for the web. People have also created some interesting variants of the game - Flappy Bird Typing Tutor and Flappy Math Saga.
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Introduction to Reinforcement Learning (2015)
Build AI responsibly to benefit humanity
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Prefrontal cortex as a meta-reinforcement learning system
Recently, AI systems have mastered a range of video-games such as Atari classics Breakout and Pong. But as impressive as this performance is, AI still relies on the equivalent of thousands of hours of gameplay to reach and surpass the performance of human video game players. In contrast, we can usually grasp the…
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A warning about 'model welfare'
AIs are not conscious. They do not feel, experience, or suffer. Training a model to believe it might be a moral patient, as Anthropic’s constitution does, makes the alignment and containment challenge far harder.
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What will our economic future look like?
The Anthropic Economics Team models the effects of AI on the economy of 2030.
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America's future could hinge on whether AI slightly disappoints
If the economy's single pillar goes down, Trump's presidency will be seen as a disaster.
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Will scaling work?
Data bottlenecks, generalization benchmarks, primate evolution, intelligence as compression, world modelers, and other considerations
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AI coding made me faster, but I can't code to music anymore
AI coding has made me much more productive—but at a strange cost. I can't listen to music when I code anymore.
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Apple Intelligence Foundation Language Models Tech Report 2025
We introduce two multilingual, multimodal foundation language models that power Apple Intelligence features across Apple devices and…