







Instead of wanting to learn and improve as humans, and build better software, we’ve outsourced our mistakes to an unthinking algorithm.
AI-assisted engineers are burning out, is this fine?—Martian Chronicles, Evil Martians’ team blog
AI-assisted code generation is not free. It comes with a hidden cost: burnout. Are we dangerously ignorant to this problem? And how can we cope with it? In this post, we discuss this question.

Kyle Booten
Noöhacking1 is the title of my current research program. I use this term for ways that artists and everyday digital media users build and repurpose algorithmic tools in order to take care of their own minds/spirits, an especially challenging and important task amidst a digital milieu that seems designed to make us alienated, unintelligent, and miserable.
Stop Begging Billionaires To Fix Software — Build Your Own
This is part one of a two-part series on using AI tools as one piece to fight back against tech company control of our lives. Part two shares the details of how I built my own task management tool …

Local-first software: pragmatism vs idealism
Import AI 455: AI systems are about to start building themselves.
The first step towards recursive self improvement


Creative Computing Group by @tgoerke.bsky.social — Grain
Let's start a group at CODIP to explore creative computing. Let's not start by defining creativity nor computing. It would be a trap. Let's collect artifacts instead. Images, text, thoughts,...
Letta
Making machines that learn. Create stateful agents that remember everything, learn continuously, and improve themselves over time.

Turns out Generative AI was a scam
Or at least very very far from what it has been cracked up to be

From OSS to Open Source AI: an Exploratory Study of Collaborative...
AI development is embracing open-source paradigm, but the fundamental distinction between AI models and traditional software artifacts may lead to a divergent open-source development paradigm with...

The Thoughts The Civilized Keep
The hype around a new AI language generator reveals the sterility of mainstream thinking on AI today — and indeed on how we think about thinking itself.

On AI and building your own GIS software
Of the thousands of essays over the past two years surrounding AI and its implications are some very thought provoking ones with enormous implications for GIS. Some of the essays are around the the…

The Git-ification of the World — Tim Morrissey
Why AI conquered software first, and what that tells us about which industries are next.


Running local models on an M4 with 24GB memory | jola.dev
Why and How to Run Local Models in Zed

Running local models is good now

LLMs reward expertise

Programming (with AI agents) as theory building

explain-diff

AI Coding will Prevent Expertise | Lars Faye

Cognitive Surrender

AI Dry July: Aborted