Microsoft to Force Install the Microsoft 365 Copilot App in October

[1] OneDrive privacy confirmed by my own consumer complaint to the Washington State Office of the Attorney General over ambiguities related to AI training and general privacy in Microsoft’s documentation. Both my complaint and Microsoft’s official response are subject to public record and can be legally actionable in the future.

It had the fewest Linux-typical papercuts, it was well-documented, and most importantly required the least amount of system tinkering I've ever done on Linux, allowing me to use my operating system to actually operate my system. It wasn't as turnkey as macOS, wasn't as compatible as Windows, and wasn't as "tinker" friendly as other distros, but it _worked_.

Then again, I was using the default GNOME spin, and I also try to meet OS's in the middle instead of brazenly insisting on my way or the highway. But it _is_ used as a base for RHEL, so it's not like Fedora is a typical stone soup distro either.

And we're working hard[0] to identify you based on yours.

Will wonders never cease?

[0] https://archive.ph/v0puA

It can load into a desktop environment by default and you can install Flatpacks, and it comes setup for gaming out of the box. That's enough for 90% of people.

Are you not paying attention? Web3 is going just great![0]

[0] https://www.web3isgoinggreat.com/

In terms of web3, I think you could broadly say Bitcoin (though it was large before web3 so that one's muddy) and Etherium. But even then... given what they are, I'm not sure in what sense these are meant to be Goliaths...? It's alternative payment processors that have incredibly low adoption compared to virtually every other. They're "big" in the sense that they have a lot of traction relative to other crypto, but I still have never used the shit even once and I do not feel I am missing out even slightly.

I've used LLMs FAR more than any crypto, and I still see it largely as a neat way to get out of writing boring code, and a good rubber duck to bounce ideas off of when debugging. I wouldn't pay for it if I had to.

The only thing I know crypto for is being the new and preferred payment method for scammers, and that you used to be able to buy drugs with it but not anymore. And godawful avatar collections, I guess. I wouldn't call that a Goliath myself but. shrug

It's remarkably fucking annoying and is genuinely one of the worst UX decisions Apple has made in like a decade.

It still took a couple of years, though.

Of course in hindsight its rather obvious. But there were other smartphones and they were (on paper at least) superior in quite a few ways.

Translation problem. Google Translate does job poorly, if you compare with chatgpt. Especially if there are mix of languages in input.

Basic search of common, Wikipedia-level knowledge, to explain something. LLM is good at it.

- They have rapidly diminishing returns on higher contexts. They are very easy to overload with user information. You can post-train them, but that’s too much into actual computer science to be useful to the average office worker. They can work well as a co-worker assistant in a few cases, but they really can’t replace humans long term.

- LLMs only really work well when given the ability to call on-device tooling. Which, with a cloud system like Copilot, is going to be super tame and underwhelming because of lawsuits and various business deals. Tool calling is only really agnostic when you’re running the model yourself on your own device.

- On the topic of on-device models, there’s also the fact that AI provider companies have been caught evading things like robots.txt and causing so much crawling activity that it effectively becomes a DDoS attack. On-device AI doesn’t solve this totally, but most people likely won’t be pushing their gaming GPUs to the absolute limit 24/7 to constantly hit websites with crawl requests.