YT’s blocked on it.

Just tried it. It works.

And yet whenever some achievement is made, the headlines are “Musk achieves great feat”

My personal problem is that I’m so bad at using it

It’s not you, it’s just that Windows is badly designed.

Not at all. It’s not “how likely is the next word to be X”. That wouldn’t be context.

I’m guessing you didn’t watch the video.

I’m not wrong. There’s mountains of research demonstrating that LLMs encode contextual relationships between words during training.

There’s so much more happening beyond “predicting the next word”. This is one of those unfortunate “dumbing down the science communication” things. It was said once and now it’s just repeated non-stop.

If you really want a better understanding, watch this video:

https://youtu.be/UKcWu1l_UNw

And before your next response starts with “but Apple…”

Their paper has had many holes poked into it already. Also, it’s not a coincidence their paper released just before their WWDC event which had almost zero AI stuff in it. They flopped so hard on AI that they even have class action lawsuits against them for their false advertising. In fact, it turns out that a lot of their AI demos from last year were completely fabricated and didn’t exist as a product when they announced them. Even some top Apple people only learned of those features during the announcements.

Apple’s paper on LLMs is completely biased in their favour.

it just repeats things which approximate those that have been said before.

That’s not correct and over simplifies how LLMs work. I agree with the spirit of what you’re saying though.

15 years ago, maybe. But I haven’t had any compatibility issues in many years.

The funny thing about that story, and the outset that no one covered after the fact, is that Munich reversed direction again and ultimately did go with Linux and open source stacks.

IIRC, Collabora is based off of LibreOffice.

This is corporate AI against open source AI.

Show me where I can download Midjourneys full model to run it locally and then we can agree to call it “open weights”. Unless their base model and training data is also available, it’s not open source.

It’s not like her international protesting license is limited to only climate change. You can dedicate 3 months out of a year to other forms without having to pay for the dual pretest license.

I moved out of Toronto 4 years ago. Just came here for the weekend and I saw 5 cybertrucks in one day.

So the guys on the street that scam tourists are high profile scammers?

is still clunky compared to others.

Wut?

I don’t know the reason. I don’t know him personally. Only ever met him over calls.

At my last job we had a sales contact that lived in South Africa (he’s white). At one point a few years ago he dropped off the radar, and we finally heard from him about 6 months later. He had picked up his family and moved to England. Left most of their possessions, abandoned the house, etc. He said things were getting too lawless and felt they had to leave immediately.

I also have a friend who’s from South Africa (also white) who has most of her family back in South Africa, and the stories I hear are chilling. I don’t know this, but it seems like things have been going downhill fast for the past 5 or 6 years now (faster than before).

I did acknowledge that it’s not exclusive to the US. And I didn’t say “it is”, I said “it feels like”.

FTX, Theranos, Fyre Festival, Enron, Bernie Madoff, Logan Paul’s CrytoZoo, Charles Ponzi (the OG Ponzi scammer), etc.

While scams exist everywhere, the US seems specially suited to embolden people to run scams. At least high profile ones.

It’s a whole hell of a lot harder to rig when your name is everywhere when you win.

This also sounds like a uniquely US problem. Not that there aren’t scammers everywhere, but it feels like it would be more prevalent in the US.

Remember the other day when Microsoft boasted that 40% of their code is written by AI?

You are the one basing your argument on an article from 2008 , not me.

… what? You literally linked the article from Android Authority, not me.

You are completely deranged.

Says the person claiming a model’s computational power usage scales with the number of classes trained.

Now come back with some hard evidence

Hard evidence for what? I’ve never once claimed phones are listening to people’s conversations. This whole thread has been about the technical viability of such a system. Not evidence of it’s literal existence.

You, on the other hand, have spewed nonsense this whole time.

So like I’ve said more than once, come back with something real or stay in your lane.