Notes on building AI workforces
Thinking on automation, oversight and workflow design from the team building it.
The Quiet Engine Behind AI’s Next Leap: Materials Science
As AI systems grow more powerful, the materials that make chips and data centers work are quietly reshaping scalability and cost. This isn’t just about silicon anymore, it’s about polymers, fluids, and plasma-resistant compounds that keep AI infrastructure running under extreme conditions.
PsiQuantum’s Photon-Based Quantum Computer Could Reshape Materials Science
PsiQuantum is building a large-scale quantum computer using photons, aiming to solve real-world problems like predicting battery degradation and corrosion. Backed by major investors including the Pentagon, the company’s approach could unlock new capabilities in predictive maintenance and material design.
Anthropic’s New AI Window Offers a Glimpse Into How Language Models Think
Anthropic’s latest research reveals a new way to peer into AI models’ internal reasoning, a breakthrough that could reshape how enterprises trust and deploy autonomous systems. The findings, while quirky and complex, point toward safer, more explainable AI.
How Research Bots Can Improve Business Decisions
A research answer without sources is an opinion. The difference between the two is what actually makes AI research useful for a real decision.