Copyright, AI, And, It Doing It Ethically.

It’s no secret that the generative, sequacious artificial intelligences out there have copyright issues. I’ve written about it myself quite a bit. It’s almost become cliche to mention copyright and AI in the same sentence, with Sam Altman having said that there would be no way to do generative AI without all that material – […]

The Ongoing Copyright Issue with Generative AI.

It’s a strange time. OpenAI (and Microsoft) are being sued by the New York Times and they’re claiming ‘Fair Use’ as if they’re having some coffee and discussing what they read in the New York Times, or are about to write a blog post about the entire published NYT archives, on demand. It’s not just […]

Introducing Sequacious AI

Sequacious AI will answer all of your questions based on what it has scraped from the Internet! It will generate images based on everything it sucked into it’s learning model manifold! It will change the way you do business! It will solve the world’s mysteries for you by regurgitating other people’s content persuasively! You’ll beat […]

From Inputs to The Big Picture: An AI Roundup

This started off as a baseline post regarding generative artificial intelligence and it’s aspects and grew fairly long because even as I was writing it, information was coming out. It’s my intention to do a ’roundup’ like this highlighting different focuses as needed. Every bit of it is connected, but in social media postings things […]

Noam Chomsky, Ludditism and AI.

There’s been a lot of discussion about society and artificial intelligence. This includes the resurgence of mocking shares of Noam Chomsky’s opinion, “The False Promise of ChatGPT” where the only real criticism of it seems to have come from people asking ChatGPT what ChatGPT thought about Chomsky’s criticism. I suppose human thought would be asking […]

AI, Confirmation Bias and Our Own Insanity.

In unsurprising news, if you feed artificial intelligences the output of artificial intelligences they become a bit insane. I’d covered that before in Synthetic Recursion, which seemed pretty intuitive even before I wrote that, but scientists at Rice and Stanford University wrote a paper: “Self Consuming Generative Models Go MAD“. So, we can say that’s […]

Social Networks, Privacy, Revenue and AI.

I’ve seen more and more people leaving Facebook because their content just isn’t getting into timelines. It’s an interesting thing to consider the possibilities of. While some of the complaints about the Facebook algorithms are fun to read, it doesn’t really mean too much to write those sort of complaints. It’s not as if Facebook […]

Strategic Deception, AI, and Investors.

‘Strategic deception’ in large language models is indeed a thing. It should be unsurprising. After all, people do it all the time when trying to give the answer that is wanted by the person asking the question. Large Language Models are designed to… give the answer wanted by the person asking the question. That there […]