AI Learned Geometry. Next It Needs Topology.
By 2028, competitive AI in a demanding domain will learn changing structural states alongside geometry, creating a testable bet for research portfolios today.
Research & Blog
Where the AI market, deployment patterns, and risk landscape are going.
By 2028, competitive AI in a demanding domain will learn changing structural states alongside geometry, creating a testable bet for research portfolios today.
Technology risk officers who approve the model file without reviewing hardware and hosting contracts will waste infrastructure budgets and delay launches that produce revenue.
Consortium-funded deployment ventures removed the one structural force that slowed risky AI adoption at community banks and regional health systems. Here is the causal chain from financing structure to the first public, examiner-documented frontier model failure.
Occasional notes on AI risk, adversarial testing, and governance. No marketing drip.