prima-facie
The most important takeaway from this is that mathematicians finally consider us CS grunts their equals.
> Immortal Snail, also known as the Snail Assassin, refers to a hypothetical scenario in which a person is given millions of dollars and made immortal in exchange for being hunted down by a snail with a fatal touch for the rest of their existence.
1. know how to do it well 2. maintain it 3. host it (if online)
It already does, in the form of mobile phones. It's just that these GPUs are not very powerful _yet_. But the building blocks to enable offline agents on mobile phones are already in place. i.e. Android AI Core framework.
To block the scripts open the uBlock dashboard, select My filters, and add:
! AliExpress AWSC fingerprinting scripts
||assets.aliexpress-media.com/g/AWSC/uab/*/collina.js$script,domain=aliexpress.com
||assets.aliexpress-media.com/g/AWSC/fireyejs/*/fireyejs.js$script,domain=aliexpress.comhf download hf://unsloth/Qwen3.8-27B-GGUF \ Qwen3.8-27B-UD-Q4_K_XL.gguf
and then see them with `hf cache ls`.
Prune old versions with `hf cache prune`.
For self-hosted forges: forgejo is great but also cgit is pretty good for exporting repos.
With the recent GitHub fiasco I've split my repos across multiple forges. Git was always supposed to be decentralised so why store everything in one place?
This captures the essence of AI generated work Vs your own work. AI generated work just doesn't seem to persist in my memory.
If I design the application model myself then I can play around with it in my head even when I'm not at my desk. I know it inside-out.
If the LLM generated it then I very likely forget it the minute I stepped out of the office.
1. Do we want to be governed by machines?
2. Do we want to relinquish our freedoms to the whims of corporations?
Could you sleep easily knowing that you have one in your house? What if you oppose the political views of its creators?
> Open-weights models that don’t have dangerous capabilities are a public good
Knives should only cut during the day, knives which cut at night are bad.
FILE: .gitconfig
----------------
[alias]
ci = commit
fix = commit --fixup
[rebase]
autosquash = true
Now you can do quick commits as save-points, and squash all of them at the end. git tag last-good
git ci -am 'WIP'
git fix HEAD -a
git fix HEAD -a
…
git rebase -i last-goodAlso you don't need to be connected to the network to use a local AI in many instances. If all mobile apps were done with a local-first approach, then you could use a local AI to query your emails, lookup already visited pages, summarise recently received documents, and lots more. Lots of apps could use an inbox/outbox approach for receiving and sending updates instead of relying on the network at all times. And this pattern could be greatly leveraged by local agents.
LLMs will not be centralised or restrained to any 'clergy', the rabbit is already out of the hat, and open-weights models exist and are widely used. Probably not as good as the latest Sol and Fable but 95% there.
Codex and Claude Code without a doubt have very good models behind them. But they also have really good harnesses built around them. An LLM is only a brain stuck in a cranium in the dark. It can generate endless code/prose, but it can't walk or see on its own, it needs additional tools. If you read any of the local LLM subreddits you will notice people mentioning again and again that the harness/tool-use/template-tweaking makes all the difference on how a model behaves/on how smart it is perceived.
Some folks are already using Qwen models for their daily work. Maybe it can't work in a hands-off/one-shot fashion like the frontier models, but they can help tremendously if you already have some domain knowledge.
People are excited about local LLMs and it's not going away any time soon.