The Turing Test is Bullshit (w/Alex Hanna and Emily M. Bender — our opinions are correct
We're talking about the Turing Test, the grandmother of all tests for AI sentience. Joining us are AI researchers Alex Hanna and Emily M. Bender, hosts of the Mystery AI Hype 3000 podcast. We discuss why the Turing Test is so influential in both fiction and reality – and why it is completely wrong.
Euroopan avoin kielimalli Poro: eurooppalaisen tekoälyn ja kielten monimuotoisuuden virstanpylväs
Turun yliopiston TurkuNLP-tutkimusryhmä on saavuttanut merkittävän virstanpylvään, kun Poro-kielimallin koulutus on saatu onnistuneesti päätökseen yhdessä Euroopan suurimman yksityisen tekoälylabor
Is Generative AI Fair Use of Copyright Works? NYT v. OpenAI - Kluwer Copyright Blog
The case recently brought against OpenAI by the New York Times is the latest in a series of legal actions involving AI in the United States, and mirrored in other countries –notably, the UK. In order to train their technologies, should AI companies be allowed to use works under copyright protection without consent? The lawsuits... Continue reading
So much of current AI-generated stuff is derivative sludge that I'm enjoying the pockets of weirdness where I find them. One of my favorite things right now: DALL-E3's attempts to label things in the images it generates.
Here I asked "Please generate a cross section of a gourmet chocolate with
A CRITICAL FIELD GUIDE FOR WORKING WITH MACHINE LEARNING DATASETS
Maybe you’re an engineer creating a new machine vision system to track birds. You might be a journalist using social media data to research Costa Rican households. You could be a researcher who stumbled upon your university’s archive of handwritten census cards from 1939. Or a designer creating a chatbot that relies on large language models like GPT-3. Perhaps you’re an artist experimenting with visual style combinations using DALLE-2. Or maybe you’re an activist with an urgent story that needs telling, and you’re searching for the right dataset to tell it.
Since deep neural networks are hard-to-interpret mathematical functions, discussions and debate over “AI” art is partly expressed in analogies. Analogies are useful: they help us identify how the new thing might end up being similar to old things. The ability to think with analogies may even be key to ingenuity. But they hide differences. Each analogy are useful in some ways, misleading in others.
Why Geoffrey Hinton is sounding the alarm about AI
He spent half a century developing artificial intelligence. Now, he worries that his life’s work could spell the end of humanity. Inside his mission to warn the world
Chief technology officer Mira Murati appointed interim CEO to lead OpenAI; Sam Altman departs the company. Search process underway to identify permanent successor.