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Interesting questions raised by recent SCOTUS refusal to hear appeals related to AI an copyright-ability, and how that may affect licensing in open source.

Hoping the HN community can bring more color to this, there are some members who know about these subjects.


The latest Mac Neo will likely outperform an older laptop on every metric. Battery life will be the thing you notice more than any other as you go to classes for the day. Linux has always been behind in this regard. You can always spin up a cloud vm for pure linux if you need to, and more likely than not the university will have labs and other linux resources that are free.

Original title: "Chasing the AI High: Clay, Kilns, and the Red Queen's Race"

(which is normally preferred, I appreciate the extra context in the submission title here for this one)


Bespoke languages, or things like this, are a hard sell in the age of Ai. Because there is no training data or real world usage, I have to put a bunch of stuff into my context just so they can work with it. This becomes even more unpalatable when you realize they will (1) have to dedicate attention to this, taking it away from productive tasks (2) will have trouble sticking to it, because it looks so much like other things it has trained into the weights

How do I verify that you don't just hover up my takeout data?

Where is the open source code I can run myself?


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:( ok

I certainly do not trust the current US government with anything Ai related at any level. I suspect that's their ultimate goal, but not limited to Ai.

Should be free for everyone, it's not like it's a compute or storage intensive activity. If they can give away free CI, surely they can afford this? Segregating like this comes off as a bad attempt at upselling / SaaS gating. Is this the new "SSO tax" from Microslop?

I've been wondering how all the people who've decided not using capital letters between sentences is cool, how they think about accessibility. Do they recognize (1) it disadvantages people with reading / sight disabilities (2) it makes it hard for all humans to parse the boundaries of sentences, ergo thoughts?

What?

Chinese, Hindi, Japanese, Arabic language systems don't use capital letters. They manage to parse the boundaries of sentences and thoughts just fine.


You can find excellent examples of english written before capital letters (or even spaces) were standard and they tend to be significantly harder to parse because we're not used to parsing them. Familiarity is part of the problem but I also think that more visual clues allows for faster parsing and comprehension overall.

Different languages and cultures. When you spend a lifetime building reading clues, throwing them out the window makes it harder for people. The languages you mention also have delineation methods that involve more than simple punctuation marks.

What are the delineation methods in Mandarin and Cantonese and Hindi?

I suspect the journey to learn more on your own will inform you better than I can here on HN. Like english, they have changed over time, more often than not to include more delimiters.

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