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Erik Brynjolfsson
How many lives will be lost over the next five years by cities banning or slowing the rollout of @Waymo and other automated vehicles?

Tomas Pueyo22 tuntia sitten
It should be a crime to slow down robotaxis rollout: They cause 80% fewer accidents & injuries
Millions of lives are at stake
In clinical trials, when a treatment is obviously better, we stop the trial. Shouldn't we do the same here?

130,25K
Erik Brynjolfsson kirjasi uudelleen
Most people think “indirect costs” for government-funded scientific research have grown out of control (some universities charge >60% rates).
In response, the Trump admin tried to cap them at 15%.
But this whole debate rests on a false premise:
While ***negotiated indirect cost rates*** have gone up over time, ***effective indirect cost rates*** — the overhead costs the government actually ends up paying for — have not.
Here’s what the data shows…

68,9K
.@avi_collis and I have been working on our new measure of the economy, GDP-B, since we were both at MIT.
Today, we have an article in the @WSJ about how it can be used to assess the consumer surplus of AI.
In the fall, the AEJ Macro will publish our article on how GDP-B measures the benefits of new and free goods that are missing from traditional GDP.

Avinash (Avi) Collis4.8. klo 04.11
My latest (with @erikbryn) in @WSJ today: AI is already generating a lot of benefits ($97 billion in 2024 in the US alone, according to our calculations), but these benefits will not show up in GDP numbers for a while.

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Erik Brynjolfsson kirjasi uudelleen
One thing that puzzled me before today's data:
GDP growth in H1 was weak, about 1.2%.
But job growth was relatively strong.
I was just telling someone yesterday that one of them was likely wrong. It turns out it was the jobs side that was wrong & both signals now consistent.
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Congrats to @ThankYourNiceAI, @sj_manning, @manlikemishap and @danielrock for their careful work on AI's labor market effects!

Ethan Mollick31.7.2025
Interestingly, an economics paper that came out in 2023 predicting which jobs would overlap most with AI turned out to be right.
A new Microsoft study of actual AI use by workers (more on that in another post) found a 90% correlation between real world overlap & the predictions.


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