AI Infrastructure

Research

AI infrastructure, observability, and compute systems research.

A structured index of working papers, frameworks, and active research arcs, from silicon observability to autonomous agent risk.

The Observability StackRead flagship essay

Featured series

Observability for Frontier AI Systems

A connected body of work mapping silicon bring-up observability onto agent safety: tracing, replay, escalation checkpoints, maturity levels, and eval infrastructure.

Flagship essayAgent debuggabilityAgent Observatory

Index

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Working paperCompute Economics

The Cost of Usable Intelligence: A Unified Framework for Measuring AI's Economic Productivity Frontier

A framework for measuring the cost of useful AI output under latency, reliability, safety, and quality constraints.

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PublishedAI Hardware & EDA

The GDS Is Not the Chip

Moonshot reports a 48-hour autonomous chip-design run. The public evidence does not establish a full tapeout; the more important test is auditable control of the engineering loop.

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PublishedAI Infrastructure

Subquadratic attention is an old dream. SubQ is finally worth auditing.

The 56× kernel and 12M-token claims are real but vendor-reported. The selector, not the speed, is the open question, and code is where it breaks.

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PublishedFrontier AI Systems

Observability is an underbuilt safety primitive for frontier AI systems

As AI agents move from answering to acting, safety depends on whether we can trace, replay, and debug their behavior.

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PublishedFrontier AI Systems

Debuggability for autonomous agents

A public thesis connecting silicon bring-up observability to agent safety, eval infrastructure, replay, and root-cause workflows.

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PlannedAutonomous Agent Risk

AI agents as infrastructure risk

Planned framework: tool-using agents as infrastructure-risk participants with reliability contracts.

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PlannedAI Infrastructure

The next AI infrastructure bottleneck is observability

Planned framework: observability, not raw compute, as the binding constraint on agentic workloads.

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DraftQuantum-Classical

Quantum computing needs an accelerated classical control plane

Draft memo: quantum systems depend on fast, observable classical orchestration.

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PlannedAutonomous Agent Risk

A taxonomy of autonomous agent failure modes

Planned taxonomy connecting agent behavior failures to the instrumentation that would catch them.

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