Kevin A. Bryan's meta-analysis on seven books regarding economic impact of AI:
All I would like you to keep in mind is that the bold claims are taken seriously by enough people on the AI research and AI policy side that social scientists risk being left out of important conversations
From new NBER Working paper:
We leverage novel advertising video data and apply new empirical methods to study how banks actively use advertising to build their images, align with their operational strengths, market positions, and the demographics of target customers. These image-building efforts have significant impacts on the demand for
"General Social Agents" by Benjamin Manning and John Horton:
Our approach relies on two key principles: (i) grounding candidate AI agents in theories expected to drive human behavior in the target setting, and (ii) optimizing and then validating AI agents in distinct but related settings presumed to share underlying behavioral
Ethan Ding on the economics of providing LLM services:
when you're spending time with an ai—whether coding, writing, or thinking—you always max out on quality. nobody opens claude and thinks, "you know what? let me use the shitty version to save my boss some money." we're cognitively greedy
Scott Sumner's final EconLog post:
In my view, people focus far too much on individual issues and far too little on the essential role of integrity in the political process. We should demand that politicians tell the truth. We should demand that politicians refrain from corrupt practices. We should demand
Cloudflare launched a feature that blocks AI bots from scraping content to address concerns over unauthorized use for AI training. An analysis of AI bot activity is available in the post, along with ways to report misbehaving bots. via The Cloudflare Blog
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