SpaceX’s $60B purchase of a coding interface highlights the growing importance of interface ownership over AI models in distribution and control.

Forezai unveils TradingAgents, a multi-agent research system mimicking a trading desk, emphasizing structured disagreement and oversight in AI trading.

Exploring how governments and companies can suddenly disable AI models, exposing dependency risks and control chokepoints in AI infrastructure.

Exploring how AI access can be revoked instantly by governments or companies, revealing dependencies and vulnerabilities in AI reliance.

The fight over scarce, verified human data is reshaping AI training, with implications for industry access, costs, and innovation.

As data becomes scarce and fenced, AI development shifts toward costly, verified human data, transforming industry dynamics and creating new barriers.

Polybot, an open-source AI trading experiment, compares independent probability estimates against market prices to identify potential mispricings, highlighting risks and challenges.

A comprehensive analysis of how ten jurisdictions respond to automation and AI, revealing patterns in income, capital, work, skills, and institutions.

DeepMind researchers present a framework outlining pathways from human-level AI to superintelligence, emphasizing compute growth and potential hurdles.

A detailed analysis of ten jurisdictions’ responses to AI and automation, revealing patterns in income, capital, work, skills, and institutions.