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Comment by toomuchtodo

And yet, the productivity increases with existing models are meh (ie not 0 but certainly not worth what is being spent) based on the data. Enjoy the tulips while they bloom.

https://www.bok.or.kr/eng/bbs/B0000354/view.do?nttId=1009840...

https://simonwillison.net/2026/Feb/9/ai-intensifies-work/

AI Doesn't Reduce Work–It Intensifies It - https://news.ycombinator.com/item?id=46955703 - February 2026 (306 comments)

https://hbr.org/2026/02/ai-doesnt-reduce-work-it-intensifies...

AI Doesn't Reduce Work–It Intensifies It - https://news.ycombinator.com/item?id=46945755 - February 2026 (172 comments)

AI-generated “workslop” is destroying productivity? - https://news.ycombinator.com/item?id=45337253 - September 2025 (171 comments)

Seven Myths about AI and Productivity: What the Evidence Really Says - https://cmr.berkeley.edu/2025/10/seven-myths-about-ai-and-pr... - October 16th, 2025 ("Despite widespread enthusiasm for generative AI, empirical evidence reveals inconsistent productivity impacts contradicting popular assumptions. Based on recent meta-analyses and systematic reviews, we debunk seven pervasive myths about AI's workplace benefits. AI's productivity gains are highly context-dependent, varying significantly by user skill level and task complexity. Contrary to expectations, human-AI collaboration often underperforms either agent working independently, except in creative tasks. While AI can accelerate individual work, meta-analytic evidence finds no robust relationship between AI adoption and aggregate productivity gains. We call for research on context-specific organizational deployment strategies to capture genuine value.")

The GenAI Divide: State of AI in Business 2025 - https://www.artificialintelligence-news.com/wp-content/uploa... - July 2025

("extraordinary claims require extraordinary evidence")

parent toomuchtodo 4 months ago

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