I would say in most videogames you can play against the computer (Age of Empires, Call of Duty, etc.), which use human-set rules without machine learning. Computer enemies show the same behavior, regardless of your specific knowledge of the game. I think nowadays there may already be some games where the computer learns from your behavior by machine learning, but this is not the norm.
There were also chatbots before ChatGPT existed, which in their most basic form give human programmed answers to specific questions.
When people talk about AI, they’re generally referring to systems or machines that can perform tasks which typically require human intelligence. These tasks might include things like recognizing speech, translating languages, or making decisions. AI isn’t about simulating human consciousness or emotions but about replicating the ability to perform specific intelligent tasks.
AI systems can range from simple, rule-based algorithms (which might seem like glorified if-else statements) to complex, learning systems. This is where machine learning comes in. Machine learning is actually a subset of AI. It’s a way of achieving AI where the system learns from data. Instead of being explicitly programmed to perform a task, the system is given huge amounts of data and learns patterns or rules from it. Over time, it can make predictions or decisions based on what it has learned.
So, not all AI is machine learning, but all machine learning is AI. Hope this clears things up a bit!
I understand wanting them to go bankrupt (or be punished some other way) for their business practices, but they still produce a handful of good shows per year, so is it so bad that someone pays them for it? Be glad that enough people are throwing their money away so that you can pick their fruits. Maybe some day it’s too expensive for your dad and sister and then you are there to show them a better way.
If you are just interested in Netflix recommendation algorithms, you could start here
If you want to do this because of the full screen ads you may be too late.
I can’t give you a clear answer, maybe bots? Something is “missing” here on Lemmy, as somedays I spent as much as 8 hours on Reddit, whereas I spent 30 min at most per day here on Lemmy. It feels like Lemmy is mostly informative for me and not so much entertainment. But good riddance, I have so much more time to read books now!
Thanks for the insight, this is crazy. We are looking for houses right now here in Germany, and and the last one we visited was 269 m² for around 500.000€ and 30 minutes drive away of the inner city of the next major city. I hope politics does something about your problem, it can not stay like this.
Exactly, it feels like 50/100 is the baseline and 75/100 is mediocre. 75/100 tells me I have to be a fan of the genre to enjoy it. This rating inflation really shows how dependent reviewers are. This is one of the reasons I like organisations like Stiftung Warentest instead of depending on some biased product comparison blogs.
I I have been programming with Matlab for 8 years and am switching to Python. I’m focusing on deep learning applications and have been using ChatGPT to answer general questions about Python as interactive documentation. Would you say Copilot would be better for this use case or only better when I am a bit more advanced with Python?
If I stay in my house for my retirement, why would I care how much it is worth? I would only care about monthly costs like energy or insurance, what am I missing?