AI isn't taking people's jobs. Here's what's really happening
https://qz.com/ai-layoffs-white-collar-jobs-oracle-capex
> Oracle's layoffs show that the people losing jobs aren't losing them because AI can do their work. They're losing them to money spent on chips and data centers
Sophisticated AI models are more likely to lie
> When a research team led by Amrit Kirpalani, a medical educator at Western University in Ontario, Canada, evaluated ChatGPT’s performance in diagnosing medical cases back in August 2024, one of the things that surprised them was the AI’s propensity to give well-structured, eloquent but blatantly wrong answers.
#ChatGPT is bullshit
> ... these falsehoods, and the overall activity of large language models, is better understood as bullshit in the sense explored by Frankfurt (On Bullshit, Princeton, 2005): the models are in an important way indifferent to the truth of their outputs. ... describing AI misrepresentations as bullshit is both a more useful and more accurate way of predicting and discussing the behaviour of these systems
https://link.springer.com/article/10.1007/s10676-024-09775-5
Recently, there has been considerable interest in large language models: machine learning systems which produce human-like text and dialogue. Applications of these systems have been plagued by persistent inaccuracies in their output; these are often called “AI hallucinations”. We argue that these falsehoods, and the overall activity of large language models, is better understood as bullshit in the sense explored by Frankfurt (On Bullshit, Princeton, 2005): the models are in an important way indifferent to the truth of their outputs. We distinguish two ways in which the models can be said to be bullshitters, and argue that they clearly meet at least one of these definitions. We further argue that describing AI misrepresentations as bullshit is both a more useful and more accurate way of predicting and discussing the behaviour of these systems.
$115B for a new HPC supercomputer for "AI" named Stargate.
Is it just me or does the current #GenerativeAI tech business model look like:
1. Hoover up the public internet
2. Build massive billion param transformer models (aka #LLM)
3. ?
4. Massive Profit!!!
Microsoft & OpenAI Will Spend $100 Billion to Wean Themselves Off Nvidia GPUs
> The companies are working on an audacious data center for AI that's expected to be operational in 2028.
People in the replies to this trying to pretend like this is actually a good answer because “well actually,” seriously flunking the “knowledge is knowing a tomato is a fruit, wisdom is not putting it in a fruit salad” test #GenerativeAI #generativeaiisgoinggreat
From: @nixCraft
https://mastodon.social/@nixCraft/111700428417038900
@cstross gets the same result on Google #Bard #LLM that I found on #OpenAI #ChatGPT in my pinned thread.
If you aren't a domain expert, you won't know when LLMs start lying to you. They reliably will, way sooner than you think.
They will gleefully plunge over a truth cliff, be totally convincing, and utterly wrong.
https://www.antipope.org/charlie/blog-static/2023/12/made-of-lies-and-more-lies.html
It isn't the first time douchey little weasels have been upset over something named "Nightshade".
#Nightshade #art #generativeart #generativeaiisgoinggreat #generativeAI
#TransformersEarthspark remembers.
I wasn't aware that transpilers needed #GenerativeAI #GenerativeAiIsGoingGreat
IBM Watsonx to use generative AI to translate COBOL code into Java
> The product is targeted at modernizing mainframe applications that run on IBM Z systems, as the number of COBOL developers starts to dwindle.
Eric Carroll
Eric Carroll
Peter N. M. Hansteen
Paul Douglas
Iron Raptor
JosephMenn