andallthat @ andallthat @lemmy.world

Posts

3

Comments

439

Joined

2 yr. ago

There are lots of shitty people in the world. She'll find new friends she can be horrible to.

When the man finally chokes on his last cheeseburger, he's going to use his last breath to blame Biden

Italian should be "acquista europeo" or (better, more colloquial ) "compra europeo". Acquistare Is the infinitive form, it would mean "to buy European".

Would you say you are good at creating a meal plan or a work schedule by yourself, with no AI? I suspect if you know what a good meal plan looks to you and you are able to visualize the end result you want, then genAI can speed up the process for you.

I am not good at creative tasks. My attempts to use genAI to create an image for a PowerPoint were not great. I am wondering if the two things are related and I'm not getting good results because I don't have a clear mental picture of what the end result should be so my descriptions of it are bad

In my case, I wanted an office worker who was juggling a specific set of objects that were related to my deck. After a couple of attempts at refining my prompt, Dall-E produced a good result, except that it had decided that the office worker had to have a clown face, with the make-up and the red nose.

From there it went downhill. I tried "yes, like this, but remove the clown makeup" or "please lose the clown face" or "for the love of Cthulhu, I beg you, no more clowns" but nothing worked.

I am not using it for this purpose, but churning out large amounts of text that doesn't need to be accurate is proving to be a good fit for:

• scammers, who can now write more personalize emails and also have conversations
• personality tests
• horoscopes or predictions (there are several examples even on serious outlets of "AI predicts how the world will end" or similar)

Due to how good LLMs are at predicting an expected pattern of response, they are a spectacularly bad idea (but are obviously used anyway) for:

• substitute for therapy
• virtual friends/girlfriend/boyfriend

The reason they are such a bad idea for these use cases is that fragile people with self-destructive patterns do NOT need those patterns to be predicted and validated by a LMM.

Yes, it's like the rubberducking technique, with a rubber duck that actually responds.

Sometimes even just trying to articulate a question is a good first step for finding the solution. A LLM can help with this process.

Meeting notes are the ideal use case for AI, in the sense that everyone thinks someone needs to write them but almost nobody ever goes back and actually reads them.

But when I got curious and read the AI generated ones (the ones from Zoom at least)... According to the AI I had agreed on an action that hadn't been even discussed in the meeting and we apparently spent half of the meeting discussing weather conditions in the various locations (AI seems to have a hard time telling the difference between initial greetings or jokes and the actual discussion, but in this one it became weirdly fixated with those initial 5 minutes)

I hope we can finally see who wins between one Elon-sized toddler and 100 toddler-sized Elons

worth giving it a try....do NOT, I repeat do NOT spray RFK Jr with DDT every time you see him. I am a liberal and this would really make me cry. Don't do it!

I like it a lot but I need two physical SIM slots so it doesn't work for me, unfortunately. But great idea and love the price drop

I still wanted to visit New York. Where can I apply for the free return ticket?

if things get any shittier, this administration is going to have to stop people at the border in the opposite direction

Thanks, I understand better now.

On a related note, I wish I had known of the "just because I said it and I did it, doesn't mean I succeeded" line of defense when I was a kid

Meta argued that "the FTC’s case rests almost entirely on emails (many more than a decade old) allegedly expressing competitive concerns" but suggested that this is only "intent" evidence, "without any evidence of anticompetitive effects."

Not sure I understand the argument. if I write that I'm going to buy another company instead of competing with them, then I go ahead and I do buy that exact company, are they arguing that the two things are not necessarily related?

They tried turning their branches into coffeehouses, apparently

it's so sad that I can't tell if you're being sarcastic or not.... this sounds too much like a real thing that would now come out of official government communications.

The thing is... You know what CEOs do when they have no confidence in the economy? They cut costs. Also known as "employees".

but your beef isn't beautiful na na na....

Thank you! As confusing and scary as it is for us in the rest of the world, it must be positively terrifying for someone who's not a hardcore MAGA to see this happening to your country.
And with the rise of the far right, following much of the same playbook in many of our countries, this is unfortunately less about Trump being personally unhinged and more about all of us trying to rediscover why our grandfather fought to defend our democracy, before it's too late.

That's true but at least one of these things needs to happen:

1. the forklift costs billions and consumes tons of energy, but it can lift a whole mountain, which no group of humans can do
2. the forklift helps a team of 10 do the work of 50 and, while still relatively expensive, it costs less than the 40 people it's replacing
3. the forklift becomes an inexpensive commodity and it augments human capabilities and creates new possibilities for society as a whole

This is roughly what happened with mainframes to personal computers to mobile devices. LLMs are stuck between 1 and 2, they are not good enough forklifts to lift a mountain and not cheap enough to replace 40 people and save money. There are some hints that they could at one point move to 3 but the large players that could make it happen are starting to be scared by the amount of investment to get there.

On a related note, lot of people are being fooled by this hype machine mixing GenAI with good "old" machine learning and you now read about all these "AI wins" like "student discovers new galaxies with AI" or "scientist discover new medicines with AI" that make it sound like these people just asked ChatGPT "how would you go about discovering a new galaxy?" or "could you make up a new drug for me pretty please?".