The widespread use of LLMs diminishes creative ideas.
An analysis of over 2000 college essays finds that human-written essays contributed more new ideas than GPT-4 written essays www.sciencedirect.com/science/arti...
Parameter- or prompt-modifications does not mitigate the creativity gap.
I love me a good fightin' stats meme 👀
Depending on how the AI boom unfolds, the model implies an additional 5–58 percentage points of cumulative GDP growth by 2030. AI's share of the economy rises from about 3% today to somewhere between 8% and 39%.
That's the scale of growth currently being priced into the future.
NBER working papers get too much weight in our profession
Jay Van Bavel, PhD
And I'm guilty of that too, by the way.
The current AI buildout only makes sense if it delivers massive productivity gains.
The biggest US tech firms are on track to spend ~$755B on AI capex in 2026, up from $155B in 2022.
At this point, AI is not just a tech story. It's a macro bet.
According to a new NBER paper, to justify the AI investment surge we're seeing, the implied productivity gains need to be enormous. The authors calibrate a model where AI-sector productivity rises by roughly 2.7x.
Link: www.nber.org/papers/w35290
Just found this intriguing new function by Wadea Abu Dahoud for making a log-scale axis squiggly, mostly to act as a visual cue/speed bump that the axis isn't linear. github.com/wade31985-ar... #rstats #dataviz
