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Are you better than a language model at predicting the next word?
A quiz to see how you compare to language models.
Topics /
AI & Machine Learning
The most popular blog posts about ai & machine learning on Hacker News. 3,091 posts.
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Satellites Spotting Aircraft
Benchmarks & Tips for Big Data, Hadoop, AWS, Google Cloud, PostgreSQL, Spark, Python & More...
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Emacs agent-shell (powered by ACP)
Not long ago, I introduced acp.el, an Emacs lisp implementation of ACP (Agent Client Protocol), the agent protocol developed between Zed and Google fo...
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Let's be honest, Generative AI isn't going all that well
A sampling of recent news
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Every database will become a vector database sooner or later
Why every database will become a vector database, sooner or later
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Better Models: Worse Tools
About an aggravating tool-calling regression in newer Claude models.
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An Efficient Way to Extract the Main Topics from a Sentence
Last week, while working on new features for our product, I had to find a quick and efficient way to extract the main topics/objects from a sentence. Since I’m using Python, I initially thoug…
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Obsidian-Copilot: A Prototype Assistant for Writing and Thinking
Writing drafts via retrieval-augmented generation. Also reflecting on the week's journal entries.
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AI 2040 and the cult of intelligence
I used to be one of these people. I read Yudkowsky and was like, OMG recursive self improvement hard takeoff AI is coming. Then I joined the real world and actually tried to do things. At comma, we ship a hardware product of similar complexity to a cell phone, and it’s really hard. Reality has lots of finicky details…
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AI slop, suspicion, and writing back
On developing an involuntary reflex for spotting AI slop
1301
Comparing Adobe Firefly, Dalle-2, and OpenJourney
“🔄 Update: after posting this on HN, some commenters provided Stable Diffusion and Midjourney results as well which are now included.” In the recent Photoshop Betas, users are now able...
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The Differences Between Deep Research, Deep Research, and Deep Research
Dive into the world of AI engineering with this exploration of Deep Research in report generation. Learn how LLM-as-a-judge systems, machine learning, and ev...
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DeepWiki: Understand Any Codebase
How I use DeepWiki to speed up real coding work
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Basics of Neural Networks with example codes and illustrations
I began with inanimate objects living in a world of forces, and I gave them desires, autonomy, and the ability to take action according to a system of
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AI-assisted cognition endangers human development?
Does AI-assisted cognition threaten human development? Explore the risks of AI-assisted thinking and learn strategies to use AI tools without freezing your critical thinking.
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FAWK: LLMs can write a language interpreter
After reading the book The AWK Programming Language (recommended!), I was planning to try AWK out on this year’s Advent of Code. Having some time off from work this week, I tried to implement one of the problems in it to get some practice, set up my tooling, see how hard AWK would be, and… I found I’m FP-pilled.
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Use boring languages with LLMs
Why coding agents perform better in cohesive ecosystems like Go than fragmented ones like JavaScript or Python
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I recreated famous album covers with DALL-E
From Data to Daily Life
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Munich 1991: The Roots of the Current AI Boom
1991: T and P of ChatGPT, distillation, deep residual learning, LSTM, GAN
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Using genetic algorithms to find Starcraft 2 build orders
UPDATE: Just to make this explicitly clear: I did not write this program. The fourth sentence makes this fairly clear, but some comments indicate that some people are a bit lazy :). I also added a video of the rush to the bottom.
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Training AI to Paint with Code
I'm a designer and creative technologist based in Brooklyn, NY.
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Lessons Learned Reproducing a Deep Reinforcement Learning Paper
There are a lot of neat things going on in deep reinforcement learning. One of the coolest things from last year was OpenAI and DeepMind’s work on training an agent using feedback from a human rather than a classical reward signal. There’s a great blog post about it at Learning from Human Preferences , and the…
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If AI scaling is to be shut down, let it be for a coherent reason
There’s now an open letter arguing that the world should impose a six-month moratorium on the further scaling of AI models such as GPT, by government fiat if necessary, to give AI safety and …
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AI is an impediment to learning web development
Some thoughts on AI and LLMs, based on being Head of Engineering for JumboCode , a club of 180 students at Tufts University that builds software for non-profits.
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Humanising LLM Outputs Is Dumb
The largest tell for me to tell where culture and sentiment is shifting for AI tools is usually X, viral GitHub repositories and Hacker News. One of these tells I’ve been seeing a lot lately is skills like I have ADHD and Agents.md instructions such as giving outputs in only ASD-STE100 Simplified Technical English.
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Minecraft with object impermanence
I generally am uninterested in generative AI that's too close to the real thing. But every once in a while there's a modern AI thing that's so glitchy and broken that it's strangely compelling. There's this generative AI knockoff of Minecraft that fails so hard
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Robot Learns to See in 30 Minutes (2022)
TL;DR: Learning to walk from pixels in the real world by using proprioception as supervision.
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Using Opus 5.5 to discover a new eyewitness record of the dodo
Frontier models can now produce novel historical knowledge, but in a really weird way
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Image Completion with Deep Learning in TensorFlow
Content-aware fill is a powerful tool designers and photographers use to fill in unwanted or missing parts of images. Image completion and inpainting are closely related technologies used to fill in missing or corrupted parts of images. There are many ways to do content-aware fill, image completion, and inpainting. In…