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The chief economist at Apollo warns that mass adoption of AI agents in investments could trigger a bank run, though it might have net positive societal effects.
The article discusses how being early to AI adoption may not provide long-term personal advantages, and advises leveraging temporary leads to build credibility and skills before others catch up.
This paper tests whether perceived attributes of consumer technologies, rated by humans and frontier language models, predict ownership prevalence better than years-since-launch, finding modest improvements but limitations for short-term forecasts.
More than half of AI-labelled job titles in major European economies are now outside tech occupations, indicating AI skills are becoming mainstream across various sectors.
A tweet highlights that the speed of technology adoption over 200 years explains 25% of wealth differences, while a reply discusses rising AI populism and threats to the credentialed class.
The article addresses common criticisms of AI by drawing historical parallels to past technological panics, arguing that society should build guardrails rather than abandon the technology.
The article explores the reasons behind American pessimism towards artificial intelligence, highlighting key factors that shape public sentiment.
This tweet draws a parallel between the slow productivity gains from early electricity adoption and current AI adoption, arguing that true benefits come from redesigning workflows rather than simply bolting AI onto existing processes. It references Paul David's 1990 article 'The Dynamo and the Computer'.
Dit artikel gebruikt de analogie van gietijzeren pannen versus anti-aanbakpannen om de weerstand tegen big tech-alternatieven te verklaren.
A 2012 blog post explores Venkatesh Rao's concept of the Manufactured Normalcy Field, which explains how people minimally adapt to new technologies by mapping them onto familiar experiences. The post describes a session at FOO camp co-run with Matt Webb and tracks the idea's uptake, including in a show by Ze Frank.
A discussion on why implementing AI agents requires significant technical and change management work, making the role of FDEs (Foundation Deployment Engineers) a lasting job category, unlike earlier cloud adoption.