Usually when I see this it’s using other machine learning approaches than LLM, and the researchers behind it are usually very careful not to use the term AI, as they are fully aware that this is not what they are doing.

There’s huge potential in machine learning, but LLMs are very little more than bullshit generators, and generative AI is theft producing soulless garbage. LLMs are widely employed because they look impressive, but for anything that requires substance machine learning methods that have been around for years tend to perform better.

If you can identify cancer in x-rays using machine learning that’s awesome, but that’s very seperate from the AI hype machine that is currently running wild.

I thought this tool was retired. But no,

In December 2023, he came out of retirement to lead Alphabet Inc. into the new era of Artificial General Intelligence, after the launch of ChatGPT. (wiki)

At least it seems they are on course to make their AI competitive with Grok.

I would also be careful citing transparently antisemitic organizations like the UN Wikipedia in relation to these issues

Really works as a counterargument against anything!

Gigantic hater of all things LLM or “AI” here.

The only genuine contribution I can think of that LLMs have made to society is their translation capabilities. So even I can see how a fully open source model with “multilingual fluency in over 1,000 languages” could be potentially useful.

And even if it is all a scam, if this prevents people from sending money to China or the US as they are falling for the scam, I guess that’s also a good thing.

Could I find something to hate about it? Oh yeah, most certainly! :)

In the sense of multiple users in Android settings? That works, it can be enabled in settings -> system -> multiple users. I haven’t tested it though, as I don’t have any need for that.

I use Microsoft Authenticator and Microsoft Outlook for work, and both work flawlessly with /e/OS. Thankfully I have not had any reason to test Teams, but I’m pretty sure that would work as well.

I believe /e/OS supports a broader range of devices, and it’s also pretty great in my experience. The focus is on getting rid of google (replacing all services with MicroG and nextcloud integration) and blocking trackers while providing a smooth user experience, so it’s security features are not as over the top as Graphene. It’s still a huge freaking improvement over stock Android though, and I find it to be a joy to use.

On devices supported by the online installer it can be up an running in like 30 minutes, no technical skills required. :)

As long as it’s based on software rather than hardware I think it’s safe to assume it will be lost.

You can reinstall some things (such as the default camera app) from apks you find online, and apps such as Google Maps can be downloaded from the app store (which contains all apps from the play store). But by default it strips away everything that is installed on the phone by default and replaces it with a degoogled ecosystem, and I don’t think it differentiates between different devices.

Pixel 6 is supported through community ports (6, 6 pro, 6a), but unfortunately it is not supported (yet?) by the online installer tool. So it’s for people who are a bit more willing to get their hands dirty.

If you own a Fairphone (3-5), Pixel (4, 5, 7 or 8) Nothing phone (1) or OnePlus (7 or 8), it’s super easy to install /e/OS using this online installer. Most android apps work well out of the box, but all Google stuff has been stripped away and replaced with MicroG where necessary.

I’m never returning to Google anything.

For most jobs it’s hard to do a hiring process without in-person interviews, or at the very least video calls. So I’m not really sure how one could realistically get rid of biases. But I completely agree that whenever there are too many applications to interview everyone individually, the initial screening of applicants should be completely anonymized and rely only only technologies where biases can at least be understood.

For the final step I’m afraid we’ll have to try to train people to be less prone to biased decision-making. Which I agree is not a very promising path.

It’s not men against women, it’s people against billionaires.

It’s not the fact that these people are men that I take issue with, it’s that they are hypocrites capitalising feminist sentiments without making any actual effort towards real change.

Edit: Since I wrote my response the comment I responded to was changed into something even dumber. I’ll let it speak for itself.

At least where I’m from, it’s pretty well know that the education system is better suited to girls than boys, probably because it needs a reform

I didn’t say it doesn’t, clearly there’s a problem when half the population is systematically favoured.

To paraphrase: women can get pregnant and can’t work and it’s the man’s fault

Where the fuck did I say that it’s the man’s fault? It’s a societal problem, doesn’t mean it’s anybody’s fault. At least not an entire gender in general. Capitalism as a system, yeah, probably.

What I observe in society are a huge increase in the amount of advertising aimed at women with a feminist message because women are being programmed to flock to such messages

I’m the first to criticize corporate feminism (just like greenwashing and pride washing), but I suspect feminist messaging appeals to women because they are sick of the patriarchy, not because they are programmed by marketing agencies. The fuck are you on about.

That said, I think you’re right that the messaging of companies trying to appear feminist in their communications while nevertheless usually being run almost exclusively by men is a huge part of the source material that produces the bias here. I’m not sure we disagree much in substance, but I suspect we come from different starting points in how we see gender dynamics in society.

At least where I’m from it’s pretty well known that girls outperform boys in school, possibly because their brains develop slightly earlier in some ways useful to perform in a class room.

This could give women a head start and very well lead to them on average performing better in work life, until they are forced to choose between careers and families while they partners continue to advance their careers at full speed not worrying about being pregnant.

But that’s a different discussion. We should avoid biases in hiring because biases suck and make for an unjust society. And we should stop pretending language models make intelligent considerations about anything.

What’s fascinating here is that LLMs trained on the texts we produce create the opposite bias of what we observe in society, where men tend to get preferential treatment. My guess is that this is a consequence of inclusive language. In my writing, whenever women are under-represented, I make a point out of defaulting to she and her rather than he and him. I know others do the same. I imagine this could feed into LLMs. Whatever it is that causes this, it sure as fuck isn’t anything actually intelligent.

the AI considered

Sorry to break it to you, but the “AI” does not “consider” anything. They are talking about a language prediction model.

Yeah, I’m not all that original. :)

Forgot to mention their efforts to ruin podcasts for everyone. I refuse to listen though anything else than independent podcast clients.

There’s several issues, but for me it was:

1. Supporting questionable podcasters like Gwyneth Paltrow and Joe Rogan - I do not want my money to go to these people
2. Not supporting the artists I actually listen to
3. Lobbying the EU against AI regulation, which goes directly against my opinions and preferences, again not something I want my money to be spent on

All of this new stuff is bad, but I already decided that this was not a company I want to support. They seem to represent everything I hate.

Yeah, no Linux app, and no third party apps as far as I’m aware. I really liked the GTK app Spot. But for me, Spotify was no longer an option - I deleted my Spotify account before I found an alternative.

Yeah, they don’t do much in terms of tracking your listening habits and suggesting playlists based on similar users (which I personally did not enjoy much on Spotify, for me it always repeated itself and rarely hit the spot), but they have some great curated playlists and editorial material. :)

For those who still want a streaming service: I switched from Spotify to Qobuz, no complaints.

Just make sure to set up your Qobuz before you delete your Spotify, as you can export your playlists. I messed up on that part.

“misidentified as a suspect” my ass. Correctly identified as a person of colour. I wish they would talk honestly about these things.