Large language models and “generative AI” such as Stable Diffusion, Midjourney, and DALL-E are all just machine learning models. We do not currently have a real “AI branch” of computer science, we have a branch of machine learning that poses as AI.

No matter how good a machine gets at recognizing and predicting patterns, it will not constitute AI, as intelligence is different from pattern recognition and prediction. Even if LLMs can sometimes appear to be reasoning, they importantly are not.

five minutes later

Grok: “Heil hitler!”

Before the war, Europeans were obsessed with the Jewish question. The question was basically what to do with the jews who refuse to assimilate. The Germans came up with what they coined as the final solution to the Jewish question, which was of course the Holocaust.

Then, after the war, what do Europeans do? Do they accept that Jews can live among them as equals, even though they are different? Do we manage to leave this fucking Jewish question behind us?

Nah, we give them land where other people already live, so that they can have their own state and not bother us.

It’s just another solution to the Jewish question, and it’s rooted in the same fucked up belief that we simply cannot afford to coexist.

Israel was not founded against the Holocaust, it was founded with a basis in the same type of fucked up thinking as the Holocaust itself.

Atom to Pulsar?

If they continue like this, their customers will be so fed up with them that they can lay off the entire customer-facing part of the company within a few years! Imagine how much money they can save once they don’t have to deal with customers any more. Finally the AI innovation department will be able to focus fully on their work.

Yeah, I just find it to be a great rule of thumb. Those who understand what they are doing will be aware that they are not dealing with AI, those who jump to label it as such are usually bullshit artists.

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! :)

OpenStreetMaps is not an app, just a map. Magic Earth (and Comaps, for that matter) uses OpenStreetMaps.

Personally I never liked Magic Earth. It jumps into navigation mode too easily and I just find the interface to always do something else than I want it to. Personal preference I guess.

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. :)

Both need to be taxed. And more. If not they’ll find loopholes.

If we want to let common people off the hook, it’s as easy as progressive taxing. The first million is free (or not heavily taxed) kinda thing works with income as well. Above a certain limit 100% tax makes all the sense in the world.

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.

You would have to do more harm than good to their work, but especially if you got some friends to apply with you, pretended to be huge bigots during the application process, and proceeded to just commit acts of sabotage and do a terrible job once hired, you could possibly save a lot of lives.

Even operating alone you could possibly find ways to warn communities before arrival, and smaller forms of sabotage, as well as informing the public what goes on.

Getting hired and doing a sloppy job is not enough. You need to obstruct somehow. Which also of course comes with risk - in times like these doing the right thing always does.

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.