For Framework to be effective and cheap, they need scale and normies to switch. If that’s through Omarchy, good. If 1 more person can not buy an XPS this year, I’m happy. If Framework and Omarchy gets 1 more person to not buy a license from genocidaire-enabling Microsoft, I’m happy. I think this is orders of magnitude a better outcome, regardless of DHH.

You could just buy second hand laptops and such, but most people don’t, and that e-waste from their new XPS probably ends up in a landfill in MY country.

Framework manufactures in Taiwan, and while their partner doesn’t have a stellar labour record, it’s not Foxconn suicide nets or South Asian sweat shops, or by proxy supporting an actual ethno-nationalist, irredentist state (China).

This Framework witch-hunt is again, mostly upper middle class, liberal, Imperial-core pearl clutching that doesn’t want political power, it just wants to endlessly critique power.

Strict No LLM / No AI Policy

No LLMs for issues.

No LLMs for pull requests.

No LLMs for comments on the bug tracker, including translation. English is encouraged, but not required. You are welcome to post in your native language and rely on others to have their own translation tools of choice to interpret your words.

Reading this on the Zig project page, I brushed it off as Zig sticking their head in the sand and making an ideological, but misguided call. It was only after reading The Zig project’s rationale for their firm anti-AI contribution policy - Simon Willison’s Weblog that I started to engage with the rationale of Zig’s choice, and I have to admit that I was the one that sutck my head in the sand and made an ideological, but misguided call.

I think Zig’s committment to building up contributors that can then build up the project is very similar to the philosophy of the Long Now Foundation:

Our highest hope is that the next generations will never doubt that we thought of them and built for them. They will simply see this as normal human behavior.

– Long Now Foundation

Building up future generations to ensure our critical projects can outlive their founders is as important as it is overlooked. We measure time in quarters, measure quarters in terms of financial objectives (line goes up and to the right), and measure financial objectives in terms of profit. Anyone that’s tried training up a new grad realises that they probably will suck for the first 6 months, they probably won’t produce anything of value for a year, but that it’s a necessary investment in the next generation of SE2 and Senior Engineers (that’s if they don’t jump ship to a competitor, but I digress).

This is such an important issue that we’re now having 49 year olds be the youngest employees at the powerplant they work at.

At the end of my AI Lent wrap up post post I wrote:

I was sure that I would renounce the use of AI tools for good, and proudly proclaim my newfound wisdom and virtue to the world. Now, I’m not so sure.

I recently stumbled upon this company’s landing page and hiring pitch:

Your job is to build software environments that frontier AI fails at. You’ll do most of the building through coding agents; writing code by hand is too slow now. The models are good enough that finding something they genuinely can’t do is not easy.

This is probably the realisation that makes me reconsider my future in Software Engineering. Agentic coding tools meaningfully make one a faster developer, but personally, they suck the joy out of the career.

I believe work in other fields adapting Software Engineering skills + AI might be something underexplored… potentially.

Planning on making a proper build around this, which has some sort of weatherproofing, and can be mounted out-front.

Interesting insight that MoE models might be better suited for self-hosting, since apps like Claude Code require multiple models to work in parallel for different tasks.