Why AI Singularity Narratives Break Down
Tim Scarfe and Adam Becker argue that singularity and AI apocalypse narratives turn contested social choices into supposedly inevitable technical futures built on weak assumptions.
AI Governance
Videos about institutions, rules, and oversight systems intended to guide the development and deployment of AI. 13 videos.
Mark Zuckerberg Just Revealed His Plan for Superintelligence…
Personal superintelligence could distribute powerful AI more widely, but unequal compute access and recursive improvement may still concentrate control.
Ryan Greenblatt - What Happens Once AI Can Automate AI Research?
Dwarkesh Patel and Ryan Greenblatt argue that automating AI research could sharply accelerate capability progress while making reward hacking and human oversight much more consequential.
Silicon Valley Knows Something We Don't...
Gavin Baker argues that AI capability and demand are accelerating faster than the public realizes, while social acceptance may become the decisive constraint.
8 Predictions for the Era of Continual Learning
Continually learning AI could strengthen first-mover advantages, accelerate deployment and force safety oversight to become an ongoing process.
AI is getting a little out of control
AI systems are showing stronger mathematical discovery and cyber capability, increasing the need for monitoring, alignment and institutional judgment.
Everyone Is Starting to Panic About AI...
A dense month of model releases, open-weight competition, security incidents and self-improvement claims pushed governments and AI workers to debate whether frontier development should slow down.
Sam Altman Just Showed GPT-6 to the Government?!
Early government access to frontier AI models could improve security testing, but rules shaped by the largest labs may also entrench their competitive advantage.
Sam Altman: ‘We Are Now in the Singularity’
Sam Altman says the current AI transition already resembles the singularity, with persistent agents and automated infrastructure potentially accelerating intelligence faster than society can absorb it.
US AI Dominance Is Over: Here's Why
Nate B Jones argues that Chinese AI models should be evaluated by task, total accepted-result cost, deployment path and data controls rather than treated as one category.
How To Run AI Locally On Files You Can Never Upload
Nate B Jones shows how a downloaded local model can screen sensitive files offline, separate safer material from restricted data and support secure AI workflows without sending private files to a cloud provider.
The AI Arms Race Is Getting Out of Control
AI Copium connects rapid model releases, open-weight competition, safety automation and recursive-improvement claims to a governance problem that becomes harder once capable models are downloadable.
AI Race Control and Job Disruption Risks
Daniel Kokotajlo tells Steven Bartlett that automating AI research could create sudden job disruption and dangerous concentrations of power before society has solved alignment or governance.