142 karma · joined August 9, 2019
It just sucks that everything good and sacred in the world (soccer and everything else) is being squeezed and shittified for profit. So if FIFA is prevented from converting from a non-profit with the nominal purpose of being a steward of the game for its own stake into a fully explicit for-profit capitalistic enterprise, then I'll take the victory. Even if the current system is far from perfect.
It's one of the only things left whose purpose is not just to make as much money as possible.
What are the consequences of, for example, staring at the live flight map and only the live flight map for a 7 hour flight [1]? Sounds boring as hell but you're not going to like bore yourself insane
[1] https://www.goal.com/en-us/lists/erling-haaland-raw-dogs-7-h...
The genz/alpha version is a noble form of asceticism, while the 'original' meaning is more a hedonistic indulgence without regard for consequences to yourself or others.
Care to share any technical details about how your analysis pipeline works? :)
I don't think that just because the author has a pseudo-conversation with ChatGPT using voice as the interface means we've passed the Turing test.
They don't seem to be actively interrogating ChatGPT to determine whether it's a human or not - something that I'd expect would still be quite easy to do. And, as I understand it, the Turing test could be administered over text.
The AI craze we have today is built on the continuous, sustained work of a huge amount of people over years and years.
It also is labelled a space opera and has a decent amount of naval warfare in space
Blackalicious - Alphabet Aerobics https://www.youtube.com/watch?v=xxmmGToZlns
Nach - Efectos Vocales https://www.youtube.com/watch?v=eOTbm-NvLII
To be fair I know I'm light years behind the cutting-edge so I feel I can sleep assured that I won't take too much of the blame for having created our new AI overlords, or taking the jobs, etc.
Also, generative art and LLMs are undoubtedly impressive, but not completely my cup of tea. But you can always take your ML knowledge and find a domain/problem you care about to apply it to. It's not like literally everything will be solved in the future.