Is there a good aggregator for demos? Or should I just start watching some on YouTube and hope the algorithm starts including them?

Probably once Intel decides to buy ARM so that they don’t have to compete anymore

“I’m apolitical” == “I have political opinions that are too extremist even for political parties”

https://youtu.be/a-7XG4q0hhA?si=NLIsL15K0dscotzw

Wow you just shined a ton of light on a problem my company had. We wanted to implement a medical imaging system from one of their subsidiaries, and it took an average of 3 months for the salesperson to respond to EACH of our emails

Today in European news:

A BRAWL broke out between Turkey and Georgia fans. They FIERCELY shouted at each other through some railings while throwing plastic beverage cups at each other.

Then, during the game, a player was GRAVELY injured when a defender tackled him directly in the shin guard. He rolled around on the ground for 5 minutes before medics saved his life with the magic spray.

Yall are cute :)

If I’m in an interview and I hear the company call business hours “core hours”, I’m immediately running. That is corporate jargon straight from capitalist hell. They don’t even hide that they’re trying to own our lives now, so they say “non-core hours” to try to normalize working at 8pm.

Proms were around for ~50 years before we started seeing “promposals”, where guys would ask girls out with 3 minute-long choreographed dances in the middle of the quad for the whole school to see & record for social media. I’m not saying it’s stupid to put effort into asking someone, it can definitely be cute, but it can also be ultra cringe if you take it too far

Guess I was just too excited to be more descriptive lol

My post was slang for “we’re getting a lot of great announcements during this direct” but doesn’t look like people understood 🤷‍♂️

Dude I experience this PLUS my mind just has to have a song playing internally constantly, so even if I don’t actually play the song, my mind will beat it to death if it’s catchy enough

Lots of people ITT complaining that Lemmy is blanket anti-business, meanwhile I’m just surprised that something involving Nintendo isn’t being downvoted into oblivion

This place is getting more diverse, I like it

The government has already stepped in several times. If you’re in the mood to get mad, read up on the results of these interventions. Basically, Boeing was almost forced to deal with actual oversight, but was able to convince the government at the last minute that they could handle the oversight themselves internally (thanks to the wonderful process of lobbying of course)

Work.

Early in my career, I made the mistake of revealing to my employers that I’m competent at my job. More and more work flowed onto my plate and before long, I was assigned tasks that were supposed to go to seniors. So, the seniors received almost double my salary while they enjoyed more open schedules since I was doing my work + some of theirs.

It’s simply not worth it to go above and beyond at work, unless it’s your own business.

I value this guy’s statement that Across the Spider-Verse was the best movie, more than I value the selection of Oscar Best Picture

Ok but before you go, just want to make sure you know that this statement of yours is incorrect:

In the strictest technical terms AI, ML and Deep Learning are district, and they have specific applications

Actually, they are not the distinct, mutually exclusive fields you claim they are. ML is a subset of AI, and Deep Learning is a subset of ML. AI is a very broad term for programs that emulate human perception and learning. As you can see in the last intro paragraph of the AI wikipedia page (whoa, another source! aren’t these cool?), some examples of AI tools are listed:

including search and mathematical optimization, formal logic, artificial neural networks, and methods based on statistics, operations research, and economics

Some of these - mathematical optimization, formal logic, statistics, and artificial neural networks - comprise the field known as machine learning. If you’ll remember from my earlier citation about artificial neural networks, “deep learning” is when artificial neural networks have more than one hidden layer. Thus, DL is a subset of ML is a subset of AI (wow, sources are even cooler when there’s multiple of them that you can logically chain together! knowledge is fun).

Anyways, good day :)

When you want to cite sources like me instead of making personal attacks, I’ll be here 🙂

https://en.m.wikipedia.org/wiki/Large_language_model

LLMs are artificial neural networks

https://en.m.wikipedia.org/wiki/Neural_network_(machine_learning)

A network is typically called a deep neural network if it has at least 2 hidden layers

Sorry, it’s just that I work in a field where making distinctions is based on math and/or logic, while you’re making a distinction between AI- and non-AI-based image interpolation based on opinion and subjective observation

Interesting example, because tickets issued by automated cameras aren’t enforced in most places in the US. You can safely ignore those tickets and the police won’t do anything about it because they know how faulty these systems are and most of the cameras are owned by private companies anyway.

“Readable” is a subjective matter of interpretation, so again, I’m confused on how exactly you’re distinguishing good & pure fictional pixels from bad & evil fictional pixels

Normie, layman… as you’ve pointed out, it’s difficult to use these words without sounding condescending (which I didn’t mean to be). The media using words like “hallucinate” to describe linear algebra is necessary because most people just don’t know enough math to understand the fundamentals of deep learning - which is completely fine, people can’t know everything and everyone has their own specialties. But any time you simplify science so that it can be digestible by the masses, you lose critical information in the process, which can sometimes be harmfully misleading.