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Something weird is happening with LLMs and chess
Are they good or bad?
New
The latest blog posts to take off on Hacker News. 3,091 posts.
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Something weird is happening with LLMs and Chess
are they good or bad?
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Interview with gwern
Legacy & Anonymity in the Age of AGI
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Qwen2.5-Coder-32B is an LLM that can code well that runs on my Mac
There’s a whole lot of buzz around the new Qwen2.5-Coder Series of open source (Apache 2.0 licensed) LLM releases from Alibaba’s Qwen research team. On first impression it looks like …
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ML in Go with a Python Sidecar
Machine learning models are rapidly becoming more capable; how can we make use of these powerful new tools in our Go applications?
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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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Audio Decomposition – open-source seperation of music to constituent instruments
Matthew Bird Portfolio
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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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Diffusion models are evolutionary algorithms
Authors: Yanbo Zhang, Benedikt Hartl, Hananel Hazan, Michael Levin
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Perceptually lossless (talking head) video compression at 22kbit/s
Achieving extreme video compression rates using the LivePortrait model for talking head videos.
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The deep learning boom caught almost everyone by surprise
"You’ve taken this idea way too far," a mentor told Prof. Fei-Fei Li.
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What Shapes Do Matrix Multiplications Like?
Divining order from the chaos
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Low-poly image generation using evolutionary algorithms in Ruby (2023)
A deep dive into evolutionary algorithms through the lens of low-poly image generation. This exploration covers genetic algorithm theory, custom Ruby implementation using the Petri Dish framework, and detailed analysis of genetic operators including roulette wheel selection, random midpoint crossover, and nudge…
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SmolLM2
New from Loubna Ben Allal and her research team at Hugging Face: SmolLM2 is a family of compact language models available in three size: 135M, 360M, and 1.7B parameters. They …
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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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Moonshine, the new state of the art for speech to text
Can you imagine using a keyboard where it took a key press two seconds to show up on screen? That’s the typical latency for most voice interfaces, so it’s no wonder they’ve failed…
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ZombAIs: From Prompt Injection to C2 with Claude Computer Use
A few days ago, Anthropic released Claude Computer Use, which is a model + code that allows Claude to control a computer. It takes screenshots to make …
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Detecting when LLMs are uncertain
A deep dive into a new reasoning technique called Entropix.
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Notes on the new Claude analysis JavaScript code execution tool
Anthropic released a new feature for their Claude.ai consumer-facing chat bot interface today which they’re calling “the analysis tool”. It’s their answer to OpenAI’s ChatGPT Code Interpreter mode: Claude can …
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Claude Computer Use – Is Vision the Ultimate API?
A deep dive into Anthropic’s new Computer Use API.
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Everything I built with Claude Artifacts this week
I’m a huge fan of Claude’s Artifacts feature, which lets you prompt Claude to create an interactive Single Page App (using HTML, CSS and JavaScript) and then view the result …
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Probably pay attention to tokenizers
Last week I was helping a friend of mine to get one of his new apps off the ground. I can’t speak much about it at the moment, other than like most apps nowadays it has some AI sprinkled over it. Ok, maybe a bit maybe more just a bit – depends on the way you look at it, I suppose. There is a Retrieval-augmented…
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Understanding Gaussians
The **Gaussian distribution**, or **normal distribution** is a key subject in statistics, machine learning, physics, and pretty much any other field that deals with data and probability.
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Implementing neural networks on the "3 cent" 8-bit microcontroller
Bouyed by the surprisingly good performance of neural networks with quantization aware training on the CH32V003, I wondered how far this can be pushed. How much can we compress a neural network whi…
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Video scraping: extracting JSON from a 35s screen capture for 1/10th of a cent
The other day I found myself needing to add up some numeric values that were scattered across twelve different emails. I didn’t particularly feel like copying and pasting all of …
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Faster convergence for diffusion models
Representation Alignment for Generation: Training Diffusion Transformers Is Easier Than You Think