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Andrew Montalenti
amontalenti
Founding CTO of @Parsely. Coding in Python, JavaScript, Clojure, C... and Zig!
This guide is for homelab admins who understand IPv4s well but find setting up IPv6 hard or annoying because things work differently. In some ways, managing an IPv6 network can be simpler than IPv4, one just needs to learn some new concepts and discard some old ones.
Let’s begin.
First of all, there are some concepts that one must unlearn from ipv4:
I guess that the [fediverse][fediverse] will be as decentralised as email: a bit, but not that much. Most people will be dependent on a few major hubs, some groups might have their own hubs (e.g. company email servers), personal instances will be pretty rare. This is in contrast to personal blogging, where every Bob can easily host their own (and they often do). I mean that's already implied by the name: fediverse is [a federated universe, not a distributed one][fed-v-dis].
Why does this matter? Well I like not being dependent on one entity, but I would like it much more if I was dependent on no entities at all. In other words, I like to publish my own personal blog and get all the goodies of a social network, without being dependent on other micro-blogging / social content platforms.
So in this writing, I'm going to:
❓ Contemplate on why the fediverse gets federated not distributed (spoilers: its push vs pull)
Audience: I assume you heard of chatGPT, maybe played with it a little, and was imressed by it (or tried very hard not to be). And that you also heard that it is "a large language model". And maybe that it "solved natural language understanding". Here is a short personal perspective of my thoughts of this (and similar) models, and where we stand with respect to language understanding.
Intro
Around 2014-2017, right within the rise of neural-network based methods for NLP, I was giving a semi-academic-semi-popsci lecture, revolving around the story that achieving perfect language modeling is equivalent to being as intelligent as a human. Somewhere around the same time I was also asked in an academic panel "what would you do if you were given infinite compute and no need to worry about labour costs" to which I cockily responded "I would train a really huge language model, just to show that it doesn't solve everything!". We
It's uncanny how closely this talk follows a line of reasoning I've been working on lately. If you're copied here, we may have discussed one or more of its aspects
Convert a pandas.DataFrame object into a rich.Table object for stylized printing in Python.
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Bootloader configuration for multiple .iso files on a USB drive.
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It's incredible how many collective developer hours have been wasted on pushing through the turd that is ES Modules (often mistakenly called "ES6 Modules"). Causing a big ecosystem divide and massive tooling support issues, for... well, no reason, really. There are no actual advantages to it. At all.
It looks shiny and new and some libraries use it in their documentation without any explanation, so people assume that it's the new thing that must be used. And then I end up having to explain to them why, unlike CommonJS, it doesn't actually work everywhere yet, and may never do so. For example, you can't import ESM modules from a CommonJS file! (Update: I've released a module that works around this issue.)
And then there's Rollup, which apparently requires ESM to be u