Intelligence Is Not the Main Bottleneck
Confessions of a naive hamster: why the smartest people in the room keep missing that intelligence is often not the main bottleneck in the real world
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Confessions of a naive hamster: why the smartest people in the room keep missing that intelligence is often not the main bottleneck in the real world
My thesis on the AI-first society and the future of software
Asking Gemini 3 to generate Brainf*ck code results in an infinite loop, akin amost to a DDoS attack:
I've been testing a simple prompt with different model and harness combinations to work out which one produces best results. I do this in /goal mode.
A 2017 cartoon from this post. After the embargo update (Oct 25): Now that I have some answers from the people involved let me make a quick update: 1) I still find the paper unconvincing, specific…
I experimented with generating faces of cats using Generative adversarial networks (GAN). I wanted to try DCGAN, WGAN and WGAN-GP in low and higher resolutions. I used the CAT dataset (yes this is …
The real threat isn’t AI using open knowledge — it’s AI companies killing the projects that make knowledge free
We introduce pico.js , a face-detection library written in JavaScript, and show how it works. Although similar projects already exist, our goal is to provide a smaller and computationally more efficient alternative.
Learning to prove theorems via interacting with proof assistants Yang & Deng, ICML’19 Something a little different to end the week: deep learning meets theorem proving! It’s been a while …
Gradient descent is a standard tool for optimizing complex functions iteratively within a computer program. Its goal is: given some arbitrary function, find a minumum. For some small subset of functions - those that are convex - there's just a single minumum which also happens to be global. For most realistic…
use WASD + Mouse or tap on the screen to walk around :) Amulet of St. Michael in Kyiv, Ukraine (reconstructed with GaussianSplatting.jl, ~6M Gaussians)
Authors: Yanbo Zhang, Benedikt Hartl, Hananel Hazan, Michael Levin
A deep dive into ongoing efforts adapting language models for diffusion-based ARC solving.
In my previous post , I described some experiments I was doing to reduce images to a Bag of Visual Words (BOVW) . My goal is to build a Con...
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…
A simple walkthrough of deriving backpropagation for CNNs and implementing it from scratch in Python.
This article explains how recurrent neural networks (RNN's) work without using the neural network metaphor. It uses a visually-focused data-transformation perspective to show how RNNs encode variable-length input vectors as fixed-length embeddings. Included are PyTorch implementation notebooks that use just linear…
How can it generate 3D worlds, videos, images and entire web pages, but still suck at front-end?
The Electronic Frontier Foundation, a digital civil liberties advocacy group, recently published a good article entitled “ISPs Should Not Police Online Speech—No Matter How Awful It Is.” 1 It argues that providers within the internet “stack” should refrain from censoring traffic according to their own values. That…
How I built an ML rig for training LLMs locally, exploring hardware choices, setup tricks, and lessons learned along the way.
With gptcommit, you no longer have to spend time writing your commit messages. Install gptcommit and let GPT-3 do the writing for you.
A glimpse of the upcoming paradigm shift in how we do development
A couple of days back, Ganesh Venkataramanan, leader of the Tesla Dojo project, announced the Dojo machine learning training system. It’s an unusually network rich, power dense, and memory light design. I’ve summarized the architecture of the system below but I found three aspects of the system particularly…
For the past 9 months I have been presenting versions of this talk to AI researchers, investors, politicians and policy makers. I felt it was time to share these ideas with a wider audience. Thanks to the Ditchley conference on Machine Learning in 2017 for giving me a fantastic platform to get ear
What happens when you ask Claude Code to compose music? Five experiments later: original songs, music videos, and a full album, all built from scratch.
How developers are experimenting with structure, orchestration, and standards to get more out of AI coding.
30% less disk required compared to using the single best strategy
A blog on programming C#, REST, WCF, ASP.NET Web API and software architecture