What rediculous framing. He used freely available software, failed to attribute properly, and offered a very public apology. He did technically violate the lisence agreement by failing to attribute, but this is a common mistake and doesn’t appear to be done willfully. By fixing attribution he brings the project back into compliance. If moral issues come into play, lemmy has far more red on their ledger.

Do flip phones solve that? It’s just as big when open, the flip part is just so it fits nicer in your pocket.

It wasn’t like a windows phone, but both times it was underpowered and glitchy. But it did run android.

Yeah, this really doesn’t make a lot of sense to me. The way a commercial lease is written, you owe all rent for the agreed upon term, to be paid monthly. If you want to break the lease, early termination may have some slight benefit or a way to mitigate having to pay out the entire term- for example you may be able to find a new tenenat and negotiate a smaller fee for breaking the lease since the landlord will have no loss in income. If you just stiff them on the payments, they will obviously just sue you for the full amount with no way to mitigate that. Who would write a lease that let one party unilaterally out of their obligation when they break the terms of the contract?

What’s the reasoning there? Are people without houses not allowed to use the wifi during the day? Is there something bad that happens if you use the internet without a house at night?

I think the thing that blows my mind about the pricing model is- AI using reddit for training data doesn’t need to up vote, downvote, subscribe, comment, or constantly ingest new data. They could ingest everything on Reddit once and be done, or come back every 6 to 12 months for an update. 3rd Party App developers need to download the same posts from the front page for every user, multiple times a day, constantly. They actually interact with a website. A $1 billion LLM ai might pay $1 million to download all the reddit data they need. Meanwhile Apollo might be worth less than $1 million as a business and is being hit with $20 million per year as operating expenses. The pricing model is set up in such a way that LLM’s are in a much better position to either pay a pretty insignificant fee to get all the data, or just build a scraper since they don’t need to support multiple users or website interaction. Meanwhile the price to app developers is impossibly high.