What Could Accelerate or Constrain Recursive AI Improvement
Explore how reinforcement learning, deployment data, objective setting, and continual learning shape recursive AI improvement.
Read the analysisResearch area
AI research
Research methods, scientific discovery, measurement, and policy questions arising from artificial intelligence.
Mapping the opacity of foundation models
Explore how the Foundation Model Transparency Index reveals AI documentation blind spots and challenges assumptions about open and closed models.
Read the analysis
GPT-4 capability atlas and AGI sparks
Explore how early GPT-4 shows unprecedented cross-domain breadth but exposes profound architectural limits in planning and explanation fidelity.
Read the analysis
Ecosystem Graphs: Mapping the AI Supply Chain
Explore how ecosystem graphs map foundation model dependencies, revealing supply chain opacity and providing a schema for AI transparency.
Read the analysis
ChatGPT productivity effects on professional writing
Explore how ChatGPT access reshapes writing tasks, compressing performance inequality via effort substitution rather than skill complementarity.
Read the analysis
Making AI Reliable by Representing What It Does Not Know
Explore how explicit uncertainty, calibration, and Bayesian updating could make AI decisions more reliable, adaptive, and accountable.
Read the analysis
When can LLMs stand in for human subjects?
Explore how LLMs could reshape social science and why synthetic participants require rigorous validation before supporting human inference.
Read the analysis
Healthspan Innovation Under Moonshot Competition
Explore how healthspan prizes reshape clinical trials, multimodal therapies, AI personalization, collaboration, and regulatory strategy.
Read the analysis
Building the AI-Ready, Human-Centered University
On July 25, 2026, the Dave Blundin podcast featured Joseph Aoun arguing that universities must actively preserve human agency as autonomous AI transforms knowledge and work.
Read the analysis
AI Capability Is Outrunning Its Institutions
On August 8, 2026, the Peter H. Diamandis show convened the Moonshots panel to examine accelerating AI research, autonomous agency, organizational disruption, and full-stack industrial infrastructure.
Read the analysis
When AI-driven science outpaces its institutions
AI also changes the economics of scientific attention. Where generating plausible hypotheses becomes cheaper, the scarce resource shifts toward judgment.
Read the analysis
American Science Policy and AI-Driven Research Reform
On the Moonshot podcast, Michael Kratsios, director of the White House OSTP, argues that declining US scientific productivity stems from outdated grant structures and review processes.
Read the analysis