We need, like, a Manhattan Project to collect this
经济学家呼吁以“曼哈顿计划”的规模来收集各行业价格弹性数据,凸显了当前AI经济研究的底层基础设施极度匮乏。没有跨经济体的系统性微观数据支撑,任何关于AI就业前景的预测都是盲人摸象,政策制定更是无从谈起。
We need, like, a Manhattan Project to collect this
经济学家呼吁以“曼哈顿计划”的规模来收集各行业价格弹性数据,凸显了当前AI经济研究的底层基础设施极度匮乏。没有跨经济体的系统性微观数据支撑,任何关于AI就业前景的预测都是盲人摸象,政策制定更是无从谈起。
During each call, Stewart said, Amazon officials have not been helpful."They wanted to do background checks on all my firefighters; I wouldn't let them," he said. "And we've struggled to gain access to emergencies. They'll stop us at the gate, and our medic units have been delayed. They're denying us access to patients.
"How AI Datacenters Eat the World" from High Yield on YouTube. 30-Aug-2025
HighYield x SemiAnalysis deep-dive into AI Datacenters, Gigawatt Megaclusters and the Hyperscaler race to AGI. How AI Datacenters Eat the World.
Recently, OpenAI has shared something. In a blog post, CEO Sam Altman said that the average query uses about 0.34 watt hours of energy.
From the 10-Jun-2025 blog post:
People are often curious about how much energy a ChatGPT query uses; the average query uses about 0.34 watt-hours, about what an oven would use in a little over one second, or a high-efficiency lightbulb would use in a couple of minutes. It also uses about 0.000085 gallons of water; roughly one fifteenth of a teaspoon.
nebraska case study of data sharing for court-involved youth
Synergies for Europe's Research Infrastructures in the Social Sciences (SERISS)
How can we build an open community-led commons of grants data?
No, United Way isn’t sitting still—it recently teamed up with Salesforce.org to roll out a new app called Philanthropy Cloud. For now, however, upstart Benevity rules the online workplace giving space.
Malamud’s General Index
Weapons of Affect: The Imperative for Transdisciplinary Information Systems Design
Webpages for hundreds of hospitals require users to click through to find prices, undermining federal transparency rule, Journal analysis shows
Ali, A. (2020, August 28). Visualizing the Social Media Universe in 2020. Visual Capitalist. https://www.visualcapitalist.com/visualizing-the-social-media-universe-in-2020/
Welcome! You are invited to join a webinar: Supporting Open Science Data Curation, Preservation, and Access by Libraries. After registering, you will receive a confirmation email about joining the webinar. (n.d.). Zoom Video. Retrieved June 28, 2020, from https://zoom.us/webinar/register/2615905946283/WN_W6dYUXQFTqGQjGAZPRB74w
Center for Scientific Workshops in All Disciplines—Lorentz-eScience Competition. (n.d.). Retrieved April 16, 2020, from https://www.lorentzcenter.nl/lorentz-escience-competition.html
Draft NIH Policy for Data Management and Sharing
pretty great intro to knowledge graphs
Instead of encouraging more “data-sharing”, the focus should be the cultivation of “data infrastructure”,¹⁴ maintained for the public good by institutions with clear responsibilities and lines of accountability.
We showhow the rise of large datasets, in conjunction with arising interest in data as scholarly output, contributesto the advent of data sharing platforms in a field trad-itionally organized by infrastructures.
What does this paper mean by infrastructures? Perhaps this is a reference to the traditional scholarly journals and monographs.
This approach is called change data capture, which I wrote about recently (and implemented on PostgreSQL). As long as you’re only writing to a single database (not doing dual writes), and getting the log of writes from the database (in the order in which they were committed to the DB), then this approach works just as well as making your writes to the log directly.
Interesting section on applying log-orientated approaches to existing systems.