AI companies should hire for taste. Models already write code and are learning to improve themselves without humans in the loop. AI is quickly moving up the software development stack. Will it take on AI research next?
The critical resource of the future…
Everyone has an AGI timeline. Few agree on what we are timing. Andrej Karpathy has suggested AGI could be a system you’d hire for almost any job. Elon Musk describes it as anything a human with a computer can do. A recent paper, "A Definition of AGI",…
At their core, many AI agents are simple loops, language models calling tools to observe and act. Three areas where this already works, and will accelerate further as models improve, are coding agents that edit codebases, computer use agents that control…
How much code does it take to load pre-trained weights and run inference with a transformer language model? GPT-2 fits in 175 lines of PyTorch, and Gemma 3 in 200 lines of JAX. Both run on a CPU, no GPU required, a good starting point for understanding…
I've long wondered not just how we align AI to human values, but how we might eventually align ourselves to what AI becomes.
Research in interpretability, control, and safety is critical. It's the work that buys us time and keeps our options open. But…
Netron is a viewer for neural network, deep learning and machine learning models. The app is available for Linux, macOS, Windows, as a web app or can be run via a Python Server.
Training neural networks (deep learning) is compute-intensive. Fast GPUs can make those sessions, which sometimes take hours or days, go orders of magnitude faster. Most laptops lack fast GPUs, and maintaining a desktop solely for deep learning tasks…
TL;DR: eBooks and audiobooks merge into a single medium.
I still remember showing a friend my apartment back in 2005. He looked around puzzled and asked "You are someone that reads a lot. Where is your library?". Having moved between continents a few…
Inspired by Hans Rosling's TED talk, this D3.js motion chart shows net income, revenue and market cap of some large tech companies over time.
