A.I.’s Original Sin 

Surely it's just a coincidence that this show, hard fork and the Ezra Klein show all chose to talk about the lawsuit.

Does this mean that every few minutes, the AI bots will loudly exclaim: Mmmmmmmm!

One gigawatt data centers.

Good grief I felt like the speed and cadence of speech in this podcast was fine-tuned for those members of the human species unfortunate enough to find themselves on the far left end of the bell curve.

LLM or llama language data mining is nothing compared to AGI 4 or GAI 4&5 coming in a couple few years.

Moloch

What is most worrying is that the scientists behind AI development are geniuses of scientific knowledge BUT they are ethically corrupt. If they are so ethically corrupt to bend rules, are they really "good" scientists? That so many of them have behaved so unethically may mean something is wrong at the University level where ethics training is not emphasised with equal importance as content-related skills. Something is telling me that this immense deficit will cause us to pay an apocalyptic price in the future.

I don't trust anyone working in AI to have humanity's best interests in mind. Starting with AI's carbon footprint, which is enormous.

Dude, this is your lawsuit. You're podcasting as the plaintiff in a zillion dollar lawsuit. So is this journalism or advertising?

Bad Data leads to bad or untrustworthy AI

it'll be funny when the people that actually benefit from the lawsuits are other tech companies

This is so interesting to learn more about. Thanks!

Excellent synopsis of both the technical, economic, and legal landscape of AI

I repeat myself: this specific family of algorithms seems to display rapidly diminishing returns on investment, for every incremental improvement they require exponentially more data and processing. It might actually be better for the field of research if they were forced to start from the beginning again. A three year old child did not have to absorb the entire internet to learn how to speak badly. They are running a language model that has been exposed to and absorbed (back of napkin calculation) a few thousand hours of verbal input, maybe less than a thousand in some cases. Running on hardware that needs 20 watts or less, and which does other stuff besides language processing. So we know that there is some more elegant and computationally frugal way of solving this task. I think that the large language models might be addicted to brute force through their fundamental architecture. Just a thought.

This is one of the most interesting episode I listened to 👍

A question for "The Daily". Is the answer moving forward - A "Free Use" internet, made of : - Free Use Websites, Podcasts, Videos, and Social Media, that automatically anonymizes users? Ongoing content, and context, but no contact.

Mmhum hmmmm mmhmmm. Get the popcorn babe, Michael is on.

This is cute. These days, LLMs use artificial highly curated data that is created in-house to train the AI, not copyrighted data.

Funny how "fair use" isn't mentioned till half of the way through the podcast. 🙄

Kara Swisher has called these folks glorified shoplifters.

TALK FASTER, DAMMIT !!!

Only 🇪🇺 European Union has willingness to take on big Tech

You seem to have overlooked the fact that surveillance of real life is an unlimited source of data. That's why robots and wearable ai pendants etc. are starting to boom. Put LLM in robot. Put robot in the world, workforce, etc. Collect real life data.

Hmmm, propaganda.

Regulation not Lawsuits. Dont have the time. EU has done a better job than US.