Recent events show governments and companies can shut down AI models instantly, exposing dependency risks. What does this mean for AI users and developers?
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Ethics & Society
148 posts
Data: The One Thing You Can’t Rent
The fight over scarce, verified data is reshaping AI development, with industry fencing and monetizing what can’t be rented or bought.
The Menu: What Ten Answers Reveal
An analysis of ten jurisdictions’ approaches to automation, income, and skills reveals a complex landscape with no clear solutions, highlighting global challenges.
The Menu: What Ten Answers Reveal
An analysis of ten jurisdictions’ policies on income, capital, work, skills, and institutions in response to automation and AI challenges.
Waves, Not a Wall: Inside DeepMind’s Map From AGI to Superintelligence
DeepMind researchers outline a framework mapping pathways from today’s AI to superintelligence, highlighting scale, paradigm shifts, and barriers.
Brazil: Pay the Family, Mind the Child
Brazil strengthens its social policy with Bolsa Família, paying families to invest in children’s education and health, aiming to reduce intergenerational poverty.
Glasspane: One Dataset, Three Views
Glasspane launches a demo showcasing role-specific views of one dataset to enhance trust and transparency in infrastructure monitoring, emphasizing open-source and local deployment.
Werwölfe vs. Dorfbewohner: Mit diesem Spiel vertreiben sich die DFB-Kicker die Zeit
Die deutschen Fußballnationalspieler verbringen ihre Freizeit mit dem Spiel Werwölfe, um sich die Zeit zu vertreiben, bestätigt die DFB-Organisation.
The Six Chokepoints: How AI Stopped Being a Utility and Became a Lever
In 2026, control over AI has shifted from open utility to concentrated chokepoints, giving a few entities leverage over AI infrastructure and capabilities.
After the Paycheck: The Book I Wrote Because Nobody Else Would Tell the Truth About AI and Your Income
Author Thorsten Meyer releases ‘After the Paycheck,’ analyzing AI’s impact on jobs, ownership, and the economy, emphasizing real data over hype.