little reminder that in less than a month applications will open to apply to the econ #PhD programme @EUI_ECO. Great programme, faculty and peers are waiting for you here in Florence!
#econtwitter
@JTruthAnon@TheTennisLetter I know I know! I just wanted to flag that if one follows tennis (and you probably do), it's clear Arnaldi ranking says nothing about his level nor of his potential.
As a non-technical AI user, I particularly appreciated @badlogicgames's take on the topic. Here is a blog post with his thoughts.
https://t.co/JjTIYcwxgD
Famously (there is a beautiful Works in Progress piece on this) in 2016, Geoffrey Hinton told an audience in Toronto that medical schools should stop training radiologists, since AI would soon outperform them at reading scans. Ten years later, there are more radiologists than ever, and they earn more than they did then.
Hinton was right about the task, but he was wrong (so far!) on the future of the radiology profession. Times have never been better for them. The gap between those two claims, the difference between tasks and jobs, is the subject of a paper I have written with Jin Li and Yanhui Wu, and that we release today: "Weak Bundle, Strong Bundle: How AI Redraws Job Boundaries." (Very relatedly we are also finishing the first draft of our book "Messy Jobs" on AI and Jobs!! You will be the first to hear).
We start from the observation that the growing literature on AI and labor markets measures the AI shock by task exposure: people count how many tasks AI can perform in a given occupation AI can perform, and infer that more exposure means more displacement. Eloundou et al. published a paper in Science in 2024 that started this literature, and many follow the same logic. The inference they make is that the more exposed tasks, the worse the outcomes.
This is incomplete, because labor markets price jobs, not tasks. A radiologist does not just sell image classification, but does many other jobs: triages cases, communicates with other physicians, trains residents, makes the difficult decisions, and signs a diagnosis. The market buys a bundled service. The question AI poses is not whether it can do one task inside the bundle. The question is whether that task can be pulled out.
Thread (1/3)
https://t.co/wEYMfjGbeX
New art project.
Train and inference GPT in 243 lines of pure, dependency-free Python. This is the *full* algorithmic content of what is needed. Everything else is just for efficiency. I cannot simplify this any further.
https://t.co/HmiRrQugnP
"Humans aren’t very efficient movers—until you put us on a bicycle, when we become some of the most energy-efficient land travelers in the animal kingdom."
Outstanding news for Europe.
Clearly, Switzerland is in the game. The UK is in the game. Why does the European Union keep missing the opportunity the US President is gifting us to recruit the best researchers in the world?
(By the way, China too is using this chance to the max)
@alz_zyd_ how would your reasoning change when thinking about high school learning? i.e. I guess removing the assumption that students have *some* interest.