What if universities responded to AI hype with confidence in their core mission rather than FOMO?
https://buttondown.email/maiht3k/archive/more-collegiate-fomo/
| Blog Type Stuff | https://medium.com/@danfaltesek |
| Research areas: | Cultrual Analytics, social media. In the past, media industries and television studies. |
| What do I make: | Snapchat filters. It is entirely possible you have used one of mine... |
| Why here? | Because academic pinterest never caught on. |
What if universities responded to AI hype with confidence in their core mission rather than FOMO?
https://buttondown.email/maiht3k/archive/more-collegiate-fomo/
#NYT #Wordle #Copyright #GitHub #DMCA: "The New York Times has filed a series of copyright takedown requests against Wordle clones and variations in which it asserts not just ownership over the Wordle name but over the broad concepts and mechanics of the word game, which includes its “5x6 grid” and “green tiles to indicate correct guesses.”
The Times filed at least three DMCA takedown requests with coders who have made clones of Wordle on GitHub. These include two in January and, crucially, a new DMCA filed this week against Chase Wackerfuss, the coder of a repository called “Reactle,” which cloned Wordle in React JS (JavaScript). (The full takedown is embedded at the bottom of this article.)
The most recent takedown request is critical because it not only goes after Reactle but anyone who has forked Reactle to create a different spinoff game; an archive of the Reactle code repository shows that it was forked 1,900 times to create a diverse set of games and spinoffs. These include Wordle clones in dozens of languages, crossword versions of Wordle, emoji and bird versions of world, poker and AI spinoffs, etc."
https://www.404media.co/nytimes-files-copyright-takedowns-against-hundreds-of-wordle-clones/
#AI #GenerativeAI #Copyright #IP #Plagiarism: "The test results showed GPT-4 completed book texts 60% of the time, and generated the first passage 26% of the time. Meanwhile, Claude completed book texts 16% of the time, but generated the first-passage 0% of the time. Mixtral generated the first passage of books when prompted 38% of the time, and completed passages 6% of the time. Llama generated first passages and completed texts 10% of the time.
“Perhaps what was surprising is that we found that OpenAI’s GPT-4, which is arguably the most powerful model that’s being used by a lot of companies and also individual developers, produced copyrighted content on 44% of prompts that we constructed,” Rebecca Qian, cofounder and chief technology officer at Patronus AI, told CNBC.
OpenAI, Mistral, Meta, and Anthropic did not immediately respond to a request for comment."
https://qz.com/openai-chatgpt-anthropic-claude-copyright-law-violation-1851311580
"One year later, the problem with social media is clear: PEBKAC"
Thoughts on social media post-Twitter, with a shout-out to @mmasnick
https://loudpoet.com/2023/12/02/one-year-later-the-problem-with-social-media-is-clear-pebkac/