On the Use of AI
Things that raise questions about efficacy of AI…either in a good way or bad way.
On the Use of AI
Mixed results from interpreting an image. Seems capable, but this was in response to the question “is there a cup on my desk?” and uploading the image.
In the realm of AI ... machines are made to behave in wondrous ways, often sufficient to dazzle even the most experienced observer.
Article
Joseph Weizenbaum, “ELIZA: A Computer Program for the Study of Natural Language Communication between Man and Machine,” Communications of the ACM 9, no. 1 (January 1966).
Nature paper demonstrates that training AI on AI-generated data eventually produces nonsense (as expected?).
Blatant logical contradiction
A single Nvidia GPU consumes the same energy as a typical U.S. home
Pretty wild stat https://t.co/Xw91ne4Sm4
energy consumption continues to be a problem
Proving a false identity? What in the world is the output here?
Let's pause for a little detour through automation theory here. Automation can augment a worker. We can call this a "centaur" – the worker offloads a repetitive task, or one that requires a high degree of vigilance, or (worst of all) both. They're a human head on a robot body (hence "centaur"). Think of the sensor/vision system in your car that... See more
Pluralistic: “Humans in the loop” must detect the hardest-to-spot errors, at superhuman speed (23 Apr 2024) – Pluralistic: Daily links from Cory Doctorow
An AI-assisted radiologist processes fewer chest X-rays every day, costing their employer more, on top of the cost of the AI. That's not what AI companies are selling. They're offering hospitals the power to create reverse centaurs: radiologist-assisted AIs. That's what "human in the loop" means.
The account of the sixth day should be written, He gave them speech, and they became souls.
– Whitehead
Philosophical Essays
Seems to be what LLM proponents believe