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- 🤔 We sit at a precipice
🤔 We sit at a precipice
of interesting AI and copyright suits

“You have to run risks. There are no certainties in war. There is a precipice on either side of you - a precipice of caution and a precipice of over-daring.”
― Winston Churchill
In today’s newsletter:
The Precipice
The 1978 Personal Computer Code gets open sourced
Interesting Technical videos
Pense
Anthropic is to pay about $1.2B to authors. You would think this was cause for celebration. But I don’t think it is. I think it just opened the doors of possibilities; Because this was a payment for copyright violation but for piracy.
Authors have been suing to get their works removed from AI training models. And while, I’m no lawyer but that’s not going to happen. Here’s an excerpt from the BBC article that can be found here:
It comes two months after Judge Alsup found that using books to train AI did not violate US copyright law, but ordered Anthropic to stand trial over its use of pirated material.
This seems to imply to me that a book can be used in the training of AI if that book was purchased and if the output of that work is “transformative”. Like YouTube videos that can and can not be copyright struck comes down to how much of the other person’s work was used and if it had “new expression, meaning, or message.”
Anthropic is only paying because the pirated the works versus purchasing them. (And now, I have hundred’s of business ideas that I can’t be sued for. )
But Midjourney —-probably isn’t going to fair as well. Warner Bros. is suing them because exact copies of their IP ( Batman, and Scooby dooby Doo!!) are being created. Essentially, the work isn’t transformative enough.
All, I know is that we live interesting times. We’re sitting at a point of decision that many will walk by everyday. Others will cease an opportunity. Whether or not it is a good one for my fellow men —we will see.
Interesting
Microsoft open-sources Bill Gates’ 6502 BASIC from 1978 . This is interesting news because we also sit at an era of hardware. The original personal computer architect happened in era before running massive mathematical statistical models (AI) would become a daily endeavor.
Were computers made wrong?
If we keep going down this paradigm, we will need to optimize GPUs and build more data centers. However, if the coming generation pauses and considers the old paradigm in light of their reality. How would they redesign the computer?
With more old systems being introduced, I just wonder would will the new paradigm be?
Learn
Random videos I want to watch this week for my technical compatriots.
This has a been A Geeky Production