Yeah, I don't think I'm ever getting that €600 back from Hertz Calais. Still bitter about it.

Here's a great Instructable on building one yourself, much better explanations in there.

https://www.instructables.com/Designing-and-Building-an-Axia...

The whole thing is a cobbled together bodge over SharePoint as a backend. I wouldn't ever trust my company data with that dogwater product.

Back when I had to work with it I found a bug that could cause folders to become un-synced without you realising, meaning changes would not be tracked and cause merge-conflicts when it was fixed.

Managed to use our Gold partner tickets to raise the issue with the product team, they flat out refused to fix the issue even knowing it was a bug. This was back in 2020 or so, I wonder if they ever fixed that bug. It's pretty simple to reproduce:

1. - Sync a nested subfolder from Sharepoint

2. - Sync the parent folder

3. - Note that the folder synced in 1. is not longer being tracked (no checkmark)

4. - Normal users will now go to folder 1. by default and have no idea none of their changes are no longer being tracked now that it's being synced within folder 2.

The university I attend uses SharePoint, classroom and moodle for various courses.

SharePoint is by far the worst piece of software I've ever used. Like, there's no mental model to be done, not intuitive, not working, files disappear from time to time, and I could go on for hours

Moodle is also pretty garbage-y if I may say so.

I'd say its ui is not that great and it is not intuitive when searching courses, but at least it... Works? I mean, using SharePoint might require me to reload the page more than once because I literally don't see the files sometimes

Isn't sharepoint itself a cobbled together on top of Microsoft Exchange mailboxes?

Plus some WebDAV hacks via the MS Frontpage HTML editor! Truly great software engineering and design.

So it's MS products all the way down.

Somehow finding the Frontpage HTML editors down at the bottom makes it feel slightly better. At least it bring a fond memory while navigating our corporate Sharepoint horrorfest.

Don't forget the worst SQL Server database I have ever seen. Single threaded hacks all throughout because it so shitty it can't deal with parallel queries.

It's an interesting point but I fear Go's FFI is going to kneecap its ability to be widely adopted unless that story improves significantly. It's a lovely language if your interop with other languages is minimal.

> The rest was glue

Oh how often I keep saying that these days... "All the parts are there! Why hasn't anyone piped this into that?"

Then I check 30 to 90 days later and sure enough, at least one person has done it.

You can reveal it later when you come up with a new mechanism and out all the fake images. Basically the first layer is first defence, second layer is cleanup when releasing a new mechanism. That way your generated images will always be identifiable eventually.

I would be the safest citizen, free from experiencing crime and violence if I'm imprisoned in my house for life.

This is what stopped me from picking up Podman more, all our devs use Docker and have been writing compose files for years now. When the response at the time was "you're using Podman wrong, Quadlets are the hot stuff now" it just felt like too big a risk and commitment to jump to at the time. Have things settled more? Getting away from Docker is a bigger priority nowadays for us.

podman compose has shifted from "basically never works" to "if an existing YAML isnt too complex it works" but it's not a drop in replacement yet.

i also want to stay the hell away from quadlets or any other software which tries to make me use systemd more.

While modern LLMs are a far cry from biological synapses, I do find it fascinating that if you take the highly reciprocal data of a biological connectome and unroll it into a DAG, you suddenly see motifs popping up that look similar to what we find in AI. I found this both looking at temporal unrolling of RNNs or mapping layer activation weights of a Transformer. Totally agree though, the current LLM architecture itself is driven by the need to shove all of this nicely into parallelized compute hardware.

> if you take the highly reciprocal data of a biological connectome and unroll it into a DAG, you suddenly see motifs popping up that look similar to what we find in AI

That sounds interesting. Where have you heard about that? Or is this your own research?

It's been bought up by venture capital and it's rubbed a lot of fans the wrong way with the changes by the new management.

What are the changes that are rubbing fans the wrong way? I feel like the latest videos have been interesting.

I still find them engaging and well made. It’s a bit more “corporate” but honestly the content remains as good

I was also afraid of that, but I actually really liked the recent videos.

Yeah actually I haven't been dissapointed with the quality of the new videos so far, I will hold my breath though as venture capitals priorities aren't always aligned long-term.