This is the way. If OP doesn’t like olives, that just leaves more for the rest of us. It’s a win-win for everyone.
Who reads this anyway? Nobody, that’s who. I could write just about anything here, and it wouldn’t make a difference. As a matter of fact, I’m kinda curious to find out how much text can you dump in here. If you’re like really verbose, you could go on and on about any pointless…[no more than this]
This is the way. If OP doesn’t like olives, that just leaves more for the rest of us. It’s a win-win for everyone.
Our perception of it is also highly distorted due to the bubble we live in. Chinese are living in a different kind of bubble where everyone can more or less understand each other, as long as they stick to the written form. The languages may be different, but they are written using the same system, which makes communication possible. Also, the Great Firewall of China keeps Chinese people inside that bubble and foreigners outside it.
All of this also touches upon an interesting topic. What it really means to understand something? Just because you know stuff and may even be able to apply it in flexible ways, does that count as understanding? I’m not a philosopher, so I don’t even know how to approach something like this.
Anyway, I think the main difference is the lack of personal experience about the real world. With LLMs, it’s all second hand knowledge. A human could memorize facts like how water circulates between rivers, lakes and clouds, and all of that information would be linked to personal experiences, which would shape the answer in many ways. An LLM doesn’t have such experiences.
Another thing would be reflecting on your experiences and knowledge. LLMs do none of that. They just speak whatever “pops in their mind”, whereas humans usually think before speaking… Well at least we are capable of doing that even though we may not always take advantage of this super power. Although, the output of an LLM can be monitored and abruptly deleted as soon as it crosses some line. It’s sort of like mimicking the thought processes you have inside your head before opening your mouth.
Example: Explain what it feels like to have an MRI taken of your head. If you haven’t actually experienced that yourself, you’ll have to rely on second hand information. In that case, the explanation will probably be a bit flimsy. Imagine you also read all the books, blog posts and and reddit comments about it, and you’re able to reconstruct a fancy explanation regardless.
This lack of experience may hurt the explanation a bit, but an LLM doesn’t have any experiences of anything in the real world. It has only second hand descriptions of all those experiences, and that will severely hurt all explanations and reasoning.
Really? I should totally give it a go some time. Sounds like the ideal life hack for me.
Congrats!
Remember those mobile games where you can watch ads to get some gold and diamonds or simply pay for them with real money? Well, I can imagine a dystopian future where that logic has been applied to everything.
Wanna press an elevator button? Pay with shopping center diamonds or watch this quick ad.
Wanna try on this shirt before buying it? Ads. Is this made of cotton? Ads.
Take the escalator to the next floor? Ads.
Wanna check the info screen to figure out where you can find a restaurant in this shopping center? Ads.
Wanna unlock different parts of the menu? Ads. Wanna see the prices too? Ads. Allergens? Ads again.
Need to go to the toilet? Ads. Want some toilet paper? More ads.
If you encounter this literally every 30 seconds, spending some money on those shopping center diamonds suddenly becomes a very appealing idea.
On the outside of the mall you see a punk looking guy with a Molotov cocktail in his hand. You feel a sudden urge to join in whatever he is up to.
Anyway, if you want some more suffering and sadness, simply dump the first lines to GPT and ask it to take this dystopia to its logical conclusion. It could get pretty wild.
That’s true. If something doesn’t directly make money, it can still exist because of taxes or another arrangement like that.
So, the key is to run your business for loss. Wait, that’s called a charity, not a business. How is this thing supposed to work?
In the early days of laser development, it was seen as a solution seeking a problem. A few decades later, it actually turned out to be really handy, but it would have been tough to sell this idea to anyone before that. Imagine how hard it is to find funding for research that solves a problem that doesn’t exist.
LOL. Far in the unseen later, it is then.
This is the way.
Selection bias. There’s plenty of overlap between the groups of people who know about it, care about it, use FOSS, use Lemmy etc. It’s basically a prominent characteristic of the stereotypical Lemmy user. We’re still a small and surprisingly homogenous group of people. If Lemmy ever grows like Mastodon, you’ll begin to see more diversity.
There’s also something you could call the “fish out of water” bias. If you’re not LGBT, you’ll suddenly notice how many LGBT people there are on Mastodon. If you’re not into ML, you’re going to notice the people who are.
It should be called the WISHFUL list. It stands for “Wildly Improbable Scenarios Happening Unbelievably Far in the Unseen Later”.
Sounds to me that Meta defines privacy in a very particular way. You’re still going to give all of your data to Meta, but anything outside this transaction is in the realm of privacy where you can have rights and settings.
I recall watching a defcon speech given by someone who used to make malware. He opened the speech by apologizing and saying that he knows that he will burn in hell.
So, you mean music composed before 1800? Bach and Mozart should be fine, whereas Beethoven is way too modern.
So, do you think that quantum computing has a much longer way to go?
And when Xitter starts posting NFT trash in your name, you can restrict the spread of those posts by spending some Xitter Turds, which you can get from the lootboxes.
Oh and the cooldown timers! After every post, you have to wait 24 hours, but you can cut that wait in half by spending some Xitter Turds again. Let me tell you, it’s going to be unlike any service before it. EA and Ubisoft have so much to learn here.
Generally speaking true. However some companies manage to get the hype train going which leads to people buying bad products. As a result, a company can still survive by selling bad headphones or bad water bottles. Bad reviews can balance things a bit, but if their marketing budget is as big as the defense budget of a small country, there’s not much a bad review can do.
Obviously, this doesn’t really apply to small startups with only pennies to spend. Their marketing consists of sending samples to reviewers, and if that gamble backfires, for any reason, things aren’t going to look very good for the company. Maybe the product was bad, and they had it coming. Maybe the product was ok, but the review sample was broken. Who knows.
That’s a good point. “Determining the cause of death” implies that the person is dead. It’s like braiding the hair of a bald guy.