AI
Matt Ross and
AI
By 2030, we’ll see 92 million jobs lost, and 𝟏𝟕𝟎 𝐦𝐢𝐥𝐥𝐢𝐨𝐧 jobs created, according to the latest WEF report. | Alex Wang
Alex Wanglinkedin.com
Agrawal et al. argue that the framing of AI automation versus augmentation is wrong. Rather than being distinct they are often one and the same. They say that AI, initially intended for automating tasks, inadvertently acts as a force for augmentation of the broader workforce. For example, automating diagnostic skills in healthcare could diminish... See more
Azeem Azhar • 🔮 LLM search & energy; Turing transformation; AI blockade on China; Funflation & Twitter demise ++ #444
I often say doctors are generally terrible at their jobs and everyone thinks I’m an arrogant techy (maybe true) and this paper is the start of the thread I will send them from now on.
Michael Dempseyx.comThe irony is that I now know more than I ever would have before AI. But I feel slightly dumber. A bit more dull.
Dustin Curtis on Svbtle • Thoughts on Thinking
This whole post is very good. I don’t know whether Dustin is a canary or not, but he’s poking at some things I’ve been feeling to some degree.
A problem in any discussion of “AI” is that the uses are so varied that it is never clear what anyone is talking about. Using AI to spellcheck is different than using it to generate the entire work, with a whole range in-between. At what point does it go from a tool that assists an artist to the thing producing the art? There will not be a clean... See more
Lincoln Michel • Art Without Intention
When you hear a phrase like a “7B parameter model,” 7 billion parameters is a measure of the dataset, not the model . You obviously couldn’t train such a model out of, say, a text of 50 words (well you could, but it would be highly informationally degenerate). And if you gave the training protocol 100 internets worth of data, 7B parameters may not... See more
Venkatesh Rao • A Camera, Not an Engine
Turkle referenced the issue of behavioral metrics dominating AI research, and her concern that the interior life was being overlooked, and concluded by saying that the human cost of talking to machines isn’t immediate, it’s cumulative. 'What happens to you in the first three weeks may not be...the truest indicator of how that’s going to limit you,... See more