LLMs should absolutely not be used for things like customer support, that's the easiest way to give customers wrong info and aggregate them. For reviewing documents LLMs have been abysmally bad.
For gammer it can be useful but what it actually is best for is for example biochemistry for things like molecular analysis and creating protein structures.
I work in an office job that has tried to incorporate AI but so far it has been a miserable failure except for analysing trends in statistics.
The DMA took effect since yesterday I think and the fine for it was like up to 20% of global revenue if I remember correctly. The EU has enforced GDPR very well so far so I don't doubt them enforcing this.
Removing DRM and archiving is perfectly legal here in Estonia, only thing that counts as piracy here is distributing copyrighted materials without a license. I'm pretty sure it's not in the US but check your local laws.
The current LLM version of AI is useful in some niche industries where finding specific patterns is useful but how it's currently popularised is the exact opposite of where it's useful. A very obvious example is how it's accelerating search engines becoming useless, it's already hard to find accurate info due the overwhelming amount of AI generated articles with false info.
Also how is it a good thing that most energy will go to AI?
As I said: Having the vehicle register stored on a blockchain would make it very easy to access a vehicle's history. Currently you need to submit a request and it takes days for them to get back to you.
An NFT is pretty much just some data put on a blockchain, it has the same use case as most other blockchain tech: Data integrity and transparency. NFTs specifically could be useful as a framework for showing ownership of something, for example vehicle ownership could be stored in this manner. It would give you a history of previous owners and how old the vehicle is. My country has something like this but making inquiries for a vehicle's history is pretty annoying and could be improved with this tech.
Crypto has usefulness related to data transparency and integrity but not as a speculative investment and scams, just like AI is being used for shitty art and confidently incorrect chatbot.
Even if something like this passed the majority of EU governments wouldn't adopt it. Like the EU copyright directive, only about 4 countries adopted it. The EU is a trade alliance, not a federal government, it doesn't have the authority override local law unrelated to EU wide trade.
Is amazon even much of a thing outside the US? Like here in Europe they have like 2 places they ship from and it takes a week to arrive and costs 10x as much as ordering from a local online store. I don't really know anyone who uses amazon regularly.
Good. I hope that once companies stop putting AI in everything because it's no longer profitable the people who can actually develop some good tech with this can finally do so. I have already seen this play out with crypto and then NFTs, this is no different.
Once the hype around being able to make worse art with plagiarised materials and talking to a chatbot that makes shit up died down companies looking to cash out with the trend will move on.
It does shit for the environment, no one throws caps away separately while recycling the bottle. Most coloured plastics aren't recycled anyways. Like 80% of all microplastic is from car tires.
I used to work in private companies and any annual pay increase was whatever the union managed to negotiate for. It was usually between 1% - 3%. I quit after they moved the office to another city and required everyone to be at the office even though the people I worked with were in different countries. My current job is a government one and for as long as I have worked here I have gotten an annual raise of 10% - 20% and the working conditions are so much better. I'm never working in a private company again.
No idea, I'm not from the US and don't know the laws beyond what I have previously looked up. Here in Estonia you can make the translation layer without accepting any EULA and even if you did it wouldn't be legally binding. You can alse reverse engineer anything you want.
I think the fact that US healthcare is a joke all over the world is a way better perspective than a comparison to Cuba's average lifespan (Even if it were accurate).
For the average person reading an article like this a headline saying "US healthcare is the laughing stock of the world" is a lot more effective title than "Cuba beat US average lifespan for the last 4 years".
If you want to seriously compare healthcare then comparing accessibility and outcomes would be a better stat but not to one specific country but all of them. But that would not make much of a news article, more of an actual study.
You probably don't but it depends where you are. Reverse engineering software without permission isn't illegal in most places but in the US I'm pretty sure it is.
I'm pretty sure that at this point everyone on earth knows the US has absolutely atrocious healthcare and even countries with a budget lower than it's poorest state can do better. Comparing it to Cuba doesn't really make any additional point in my opinion though.
Oh, it seems other sources say differently and the article has no source so I have no idea where it's from. I wouldn't have know if I didn't start looking at life expectancy in other countries.
According to World Bank Group from 2021 it seems Cuba is ranked 82th with 73.68 years in life expectancy while the US is 59th with 76.33 years.
Haiti is like 169th with 63.19 years but another comparable nation Costa Rica is 45th with 80.3 years.
United Nations data is only different by less than 0.5 years but ranks the US higher.
How the US treats it's citizens is shitty and I like how Cuba promotes coops but let's not spread misinformation.
LLMs should absolutely not be used for things like customer support, that's the easiest way to give customers wrong info and aggregate them. For reviewing documents LLMs have been abysmally bad.
For gammer it can be useful but what it actually is best for is for example biochemistry for things like molecular analysis and creating protein structures.
I work in an office job that has tried to incorporate AI but so far it has been a miserable failure except for analysing trends in statistics.