OpenClaw isn't fooling me. I remember MS-DOS
The sad days of DOS. Any program could peek and poke the kernel, hook interrupts, write anywhere on disk. There was no safety.
The sad days of DOS. Any program could peek and poke the kernel, hook interrupts, write anywhere on disk. There was no safety.
If you work with Claude Code or Codex from the terminal, you know this one.
A perceptron explained from scratch in Python, with interactive demos. Learn weights, bias, the decision boundary, epochs, learning rate, and why we normalize data.
There is an extremely important question about the near-future of AI that almost no-one is asking. We’ve all seen the graphs from METR showing that the length of tasks AI agents can perform has been growing exponentially over the last 7 years. While GPT-2 could only do software engineering tasks t
AI forced me to abandon evidence-based best pedagogy practices, focus on oral and written exams, and redo most assignments. Here is what we did in 17-645...
I think the title captures the idea fully but I'll dig into it because this ain't Twitter. You're working an idea, a piece of code, or a multibillion a year SaaS app which is probably saving the world. Maybe you're automating the cloning process of grabbing
Why I stopped trying to give LLM agents a better memory and instead built Lemmalog, a Datalog engine that maintains an agent's knowledge as analysis state, with provenance, retractions and incremental evaluation, plus what happened when I benchmarked it on LongMemEval and LoCoMo.
How coding agents use tools, memory, and repo context to make LLMs work better in practice
Understanding the social media zeitgeist around CLIs and the premature death of MCP
[This is a guest post by Po-Shen Loh, crossposted from his blog, where an illustrated version appears. This blog post was initially written in a different file format and converted using AI. —…
Literate programming is the idea that code should be intermingled with prose such that an uninformed reader could read a code base as a narrative, and come away with an understanding of how it works and what it does. Although I have long been intrigued by this idea, and have found uses for it in a couple1 of different…
Dual GPU setup: run Qwen 3.6 27B at a Q8 quantization at 80+ tokens/sec with 39GB total VRAM
I gave Claude Code access to my pen plotter. Not directly. I was the interface between the two machines. Claude Code produced SVG files that I plotted with my pen plotter. With my smartphone I captured photos that I pasted into the Claude Code session, asking Claude what it thought about the pictures. In total, Claude…
Andrej Karpathy tweeted a mini-essay about buying a Mac Mini ("The apple store person told me they are selling like hotcakes and everyone is confused") to tinker with Claws: I'm …
if you want to do world-class research, temperament matters more than talent
The toolkit for spec-driven development. Write feature specs, not prompts. Ship better software with AI agents that understand your requirements.
GPT-2 is a direct scale-up of GPT-1 , with more parameters and trained on more data. However, it was deemed too dangerous to release by OpenAI:
Welcome to the digital home of Daniel Ball. Explore my portfolio to see the projects I’ve worked on and learn more about my professional journey.
I’ve been in the AI space since ChatGPT first dropped. I’ve toyed around with a lot of Language Models, built random side projects, built a couple from scratch and I’ve spent hours looking at the math behind it all.
This post is a high-level explainer for my Master’s thesis, which involves designing hardware architectures for ultrafast inference and online learning using the Kolmogorov-Arnold Network (KAN) architecture. I’ll assume familiarity with standard machine learning concepts, as well as some understanding of hardware and…
Calibrate your enthusiasm
09 Apr 2026 The Vercel Plugin on Claude Code wants to read all your prompts!
Ever since Golden Gate Claude I’ve been fascinated with “steering”: the idea that you can guide LLM outputs by directly manipulating the activations of the…
The whole OpenAI/Hugging Face story in plain English
I recently watched a video that put a name on something I'd been feeling. The author splits an LLM's context window into two zones. There's the smart zone , where the model is sharp, and the dumb zone , where attention drops off and the model starts forgetting what you told it five minutes ago. The cutoff sits…
AI's coding ability is outpacing our ability to wield it effectively. That gap closes in levels — 8 of them. Here's the progression from tab complete to autonomous agent teams.
If vibecoding is what people say it is, the world should be drowning in vibecoded artifacts right now. Two years of access. Millions of people with the tools. The barrier supposedly fell, right? RIGHT? So where is everything?