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The "End of Programming" will look a lot like programming (2023)
Nobody wants “temperamental and mysterious” products, so what will AI-integrated software development look like?
Topics /
AI & Machine Learning
The most popular blog posts about ai & machine learning on Hacker News. 310 posts.
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The story behind the NeuralRad organ and tumor segmentation cloud service
Late last month, I received a message.
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AI companies are pivoting from creating gods to building products
Turning models into products runs into five challenges
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Here lies the internet, murdered by generative AI
Corruption everywhere, even in YouTube's kids content
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Using a LLM to compress text
Introduction Large language models are trained on huge datasets of text to learn the relationships and contexts of words within larger documents. These relationships are what allows the model to generate text. Recently I've read concerns about LLMs being trained on copyrighted text and reproducing it. This got me…
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Listening with LLM
Overview # This is the first part of many posts I am writing to consolidate learnings on how to finetune Large Language Models (LLMs) to process audio, with the eventual goal of being able to build and host a LLM able to describe human voices. I am motivated to gain hands-on experience tinkering LLMs so, as much as…
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Learning Regular Languages with L* Algorithm
Research in Software Engineering from Rahul Gopinath
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LLMs have reached a point of diminishing returns
Science, sociology, and the likely financial collapse of the Generative AI bubble
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Shape Rotation 101: An Intro to Einsum and Jax Transformers
Acknowledgements First, I would like to acknowledge my friends and kind internet strangers who helped me with this post. This post heavily adapts from ...
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Effort – a possibly new algorithm for LLM Inference
A possibly new algorithm for LLM Inference. Adjust smoothly - and in real time - how many calculations you'd like to do during inference.
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OpenAI and Anthropic Revenue Breakdown
Breaking down revenue growth, the consumer subscription businesses and the importance of partnerships to the API business
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EURISKO Lives
Programming blog of Eugene
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Three major LLM releases in 24 hours
I’m a bit behind on my weeknotes, so there’s a lot to cover here. But first... a review of the last 24 hours of Large Language Model news. All times …
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Building an email-to-calendar LLM
Talk is cheap, show me the code Introduction A common problem my friends and I have is receiving actionable emails whose priorities are medium level. They do require action of some sort ($ \geq lowest\ priority$), but the action is due in the near future ($\leq highest\ priority$). I tend to skim over these emails…
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Ten Noteworthy AI Research Papers of 2023
This year has felt distinctly different. I've been working in, on, and with machine learning and AI for over a decade, yet I can't recall a time when these fields were as popular and rapidly evolving as they have been this year. To conclude an eventful 2023 in machine learning and AI research, I'm excited to share 10…
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Invisible Stitch: Generating Smooth 3D Scenes with Depth Inpainting
We introduce a depth completion network that allows generating geometrically coherent 3D scenes, and present a new benchmarking scheme for scene generation methods that is based on ground truth geometry.
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Meta.ai Oh My
“Meet Your New Assistant” says the announcement , going on with “Built With Llama 3”. And oh my goodness has it ever got a lot of coverage. So I thought I might as well try it.
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Diffusion models are evolutionary algorithms
Authors: Yanbo Zhang, Benedikt Hartl, Hananel Hazan, Michael Levin
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Model Predictive Control in the Browser with WebAssembly
wrenfold is a framework for converting symbolic mathematical expressions (written in Python) into generated numerical code in other languages (C++, Rust, Python). It aims to bridge the gap between prototyping of functions in expressive symbolic form, and performant production code. wrenfold is particularly relevant to…
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All You Need Is 4x 4090 GPUs to Train Your Own Model
How I built an ML rig for training LLMs locally, exploring hardware choices, setup tricks, and lessons learned along the way.
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Implementing Neural Networks on a "10-cent" RISC-V MCU
I have been meaning for a while to establish a setup to implement neural network based algorithms on smaller microcontrollers. After reviewing existing solutions, I felt there is no solution that I…
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Scientists should use AI as a tool, not an oracle
How AI hype leads to flawed research that fuels more hype
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I'm going to keep opting out
Marketing, solicitations, advertising, political contact, direct mailers, email campaigns, cookies, ads — it's all opt out. It puts the burden on you to opt out of each communication each message, each outreach from a loyalty program. It can feel like weeding a garden, but that garden is your attention. The weeds keep…
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A simplified Python simulation of diffusion
Understanding the real world is not always easy. A Python simulation can help. And let's find ways of making it efficient, too.
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AI or Ain't: Eliza
Explore the intriguing history of Eliza, a pioneering chatbot, and learn how to implement a basic version in Go, unraveling the roots of conversational AI.
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The History of Machine Learning in Trackmania
Trackmania: the world's most competitive racing game. In this post, we begin our journey towards training a neural network to superhuman performance, by chronicling the history of previous attempts.
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I Taught My 8yo Subduction Zones with NotebookLM
Principal AI Architect. Creator of open-strix, a harness for building agent teams. Writing about AI architecture, stateful agents, and what happens when you give AI memory.