AI
Matt Ross and
AI
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
What AI Can Do Today
whataicandotoday.com
The Wizard of AI
vimeo.comStunning piece of work well worth watching from beginning to end.
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
Excellent explanation of how the transforms work
The more I use language models, the more monstrous they seem to me. I don’t mean that in a particularly negative sense. Frankenstein’s monster is sad, but also amazing. Godzilla is a monster, and Godzilla rules.
Are AI Language Models in Hell?
The study estimates that the music industry has lost over £10 million in revenue to AI-generated content, but this is likely just the tip of the iceberg. Consider that one North Carolina musician, with a relatively small-scale operation, was allegedly able to generate hundreds of thousands of fake tracks, rack up billions of plays, and syphon off... See more
As AI fakes proliferate, we need to draw a clear distinction between human-made music and AI-generated content
We’ve regulated many things online, right? The amount of fraud and criminal activity online is minimal. We’ve done a pretty good job with spam. You know, in general, [the problem of] revenge porn has got better, even though that was in a bad place three to five years ago. It’s pretty difficult to find radicalization content or terrorist material... See more
Will Douglas Heaven • DeepMind’s Cofounder: Generative AI Is Just a Phase. What’s Next Is Interactive AI.
I think he has a very rosy view of the future. Most of this cannot really be backed up, and radicalized content is even increasing. We can see Twitter's struggle to moderate content.