bustadjustme

... but you have to pay to read the NYT. You paid for the information. Guess who didn't.

You make a good point -- it's easy to knee-jerk react based on the "I like free things" vibe and decry long-copyright as nonsensical.

I think a reasonable argument against copyright being so long is that things I experienced as a child, and especially shared experiences with others, have become a part of me: they've become shared culture, even parts of our shared language. "The Christmas Song" ("Chestnuts roasting..."; still under copyright in the US for another ~15 years) is just as much a part of Christmas to me as "Angels We Have Heard on High" (public domain). Maybe a good example of this is the "Happy Birthday" song: that song is synonymous with birthdays to me and those I associate with -- if you have a birthday that song is sung, if you hear that song sung it must be somebody's birthday. Yet for the longest time it was excluded from movies, TV, radio, establishments, because somebody was thought to own the copyright for it. It was part of our shared language and experience as much as aspirin or kleenex or thermos (genericized trademarks). Similarly, "hobbit" means the same thing as "halfling" to me, but don't use the word in a published work. Eventually copyrighted works seem to become pretty genericized, much quicker than ~100 years, yet their protection remains.

Disney's Snow White is about as old now as the Brothers Grimm version was when Disney's was made. I'm not allowed to make derivative works of Disney's version; should Disney have been disallowed from making it because elements of the story were "so recent"?

Obviously people should be able to profit from their own work, but I think the "shared culture/language" aspect is a decent argument that the public has an interest that counterbalances the interests of authors/creators.

Sorry if I missed it, but how is a single token output from an LLM comparable to a search result from an engine? The author here compares 1k tokens (as an estimate for an average LLM single query response) to 1k web search queries. How is this not a factor of 1000 error?

> To compare a midrange pair on quality, the Bing Search vs. a Gemini 2.5 Flash comparison shows the LLM being 1/25th the price.

That is, 40x the price _per query_ on average (which is the unit of user interaction). LLMs with web-search will only multiply this value, as several queries are made behind the scenes for each user-query.

EDIT: thanks, zahlman, he does quote LLM prices in 1M tokens, or 1k user-queries, so the above concern is mistaken!

Note that the prompt is AI-generated as well, though. From the linked blog post:

> OpenAI has another AI, GPT-3, that I used to generate many of the ideas for DALL·E prompts. I wanted to explore DALL·E using a wide variety of styles and artists, and I have limitations and biases when it comes to my knowledge of art history. GPT-3 cast a wider net of styles and artists than I would’ve come up with on my own.... The GPT-3 prompts I used evolved over time, but this one is emblematic:

> Suggest 5 unique concept ideas for a work of visual art inspired by Luke 14:7-11 (do not pick the place of honor) in the Bible. Include art direction and a specific medium and artist to emulate. Include artists from a variety of eras, styles, and media. Try for an unusual perspective. Title, year, medium. Description.

> The ʻokina has historically been represented in computer publications by the grave accent (`), the left single quotation mark (‘), or the apostrophe ('), especially when the correct typographical mark (ʻ) is not available.

While this does kinda suck, note that Marianne Williamson is excluded from many (if not all) of these same examples, while having announced her candidacy well before (and even making it into the televised debates as well). Politics aside, my guess is this is more than anything else a symptom of not knowing what to do with candidates who don't already hold an elected position.

Looking at LibriVox specifically (linked to by many of the entries in OP), each audiobook has an RSS feed, so I'll just be listening to them in a podcast app. If you have a decent one that keeps track of which "episodes" you've listened to and allows downloading for offline listening (ideally automatically), seems like that should cover the audiobook usecase pretty well.

.... whales certainly aren't bony fish. They're in class Mammalia, which is not within the superclass Osteichthyes. I.e. they're mammals, not fish.