Hello! Is anyone else trying local AI? Im dont know what im doing but lately ive been trying "Llama 3,2 3b instruct q5km" on my phone and its been surprisingly good.
#LLM
I remain ambiguous. This morning I used pi+gpt5.6 to create a color scheme based on evergarden.moe. It works, and I havenโt checked how well it stay true to the style used in vim-bundled schemas. Before I wouldnโt have done this, and now I can. But I donโt know if it is good. github.com/โฆ/evergarden.vim
some people do absolutely improve their work output (either amount or quality) with AI, but most people just resign all their critical thinking to the black box.
if you cannot function at YOUR WORKPLACE without ai, chances are that, 99% of the time, you never was supposed to work there in the first place.
How do you define slop in relation to ? For me, it is how quickly you get to an unmaintainable state- the acceleration into something that becomes difficult to work. I talk more about it here: hellodavid.dev/blog/slop
ai coding feels like it has reached diminishing returns for me. luna is my default orchestrator, routing work by complexity. in practice, usage lands around 16% luna, 48% sol, 30% astra, and 6% terra. at this point, i care less about each new frontier release. the system already finds a capable model for the job. the frontier is moving beyond my day-to-day work, so iโm happy to settle into predictable models for a while.
I find myself building bespoke tooling for my own and workflows these days, not only because of the obvious reason of software being so much cheaper to build, but also because there are SO MANY options for solving any given problem that it feels impossible to evaluate all of them.
If it's not a crucial piece of tech for a work problem then it often feels like paving my own way is both cheaper mentally (kind of amazing that's true these days) and probably a better fit.
๐ค I built agent-top - an open-source htop for AI agents.
github.com/kannandreams/agent-top
Please check out and support giving your stars and sharing.
A thing I've been doing lately is trying to come to the same conclusions others have without looking their the direct techniques and code. Last night I tried to figure out why people do vector based retrieval for RAG and ended up running these experiments: n0tls.com/โฆ/2026-09-03-i-think-โฆrag-with-grep.html
I'm still going to do an explore agent.
One idea that I've been thinking about is an or where it is a app so you get a new file everyday right except the app keeps track of all the files for you. the idea is that anytime you type anything it it basically makes a commit and use so anytime you type something it commits automatically after a quick pause after you stop typing.
Judgement, taste and quality were always precious skills. In the world of , I have become more aware of the fact that it is often hard to put in words why something is good, great or amazing - or just looks good, but is average.
A lot of the professional content I see feels like most Netflix series. They have all the elements - but the overall experience is still meh.
Quality is still hard to achieve.
bill gates built microsoft by making computation cheaper faster and harder for government to restrain. now that he's a billionaire no longer dependent on the free market for his own success he's discovered the virtues of taxing the next wave of computation. 1995 gates would have called it a tax on innovation. classic pull-the-ladder-up-behind-you politics.
Really glad to be using Haskell for work - especially in today's climate with agentic coding.
Our team uses containers to keep our development environment consistent across team members, though, and most agent sandbox approaches want to either offload your work fully to the cloud or they want to sandbox the agent harness process itself.
We're not ready for full cloud based development (yet?) and sandboxing just the agent doesn't work for us when the agent needs to run docker.

