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150 articles · page 6 of 17

Give the Agent a Smaller Keyring: Autonomy Should Be Designed Around Reversibility
Opinion · 4 min read

Give the Agent a Smaller Keyring: Autonomy Should Be Designed Around Reversibility

The useful question is not whether an AI agent is autonomous. It is which actions it can take, which states it can alter and how cheaply a human can reverse the result.

AI’s Next Margin Fight Will Be Won at the Power Meter
Industry & Business · 4 min read

AI’s Next Margin Fight Will Be Won at the Power Meter

Model prices attract attention, but electricity, capacity commitments and utilization increasingly determine the economics of AI services. The software winners will be those that learn to design around physical scarcity.

The Benchmark Is Not the Product: Why AI Teams Need Evaluation Instruments, Not Scores
AI Research · 4 min read

The Benchmark Is Not the Product: Why AI Teams Need Evaluation Instruments, Not Scores

Public leaderboards compress model quality into tidy numbers. Production systems need something messier and more useful: an evaluation program that reveals where, why, and how failures occur.

Give the Agent a Reverse Gear Before Giving It More Authority
Applied AI · 4 min read

Give the Agent a Reverse Gear Before Giving It More Authority

Useful agents do not need theatrical independence; they need bounded permissions, inspectable state, and cheap recovery from mistakes. Reversibility is the engineering property that turns uncertain model behavior into deployable software.

AI Inference Is a Capacity Business Wearing Software Margins
Industry & Business · 4 min read

AI Inference Is a Capacity Business Wearing Software Margins

The cost of serving AI is shaped less by a model's launch-day intelligence than by queues, idle accelerators, latency promises, and demand that refuses to arrive on schedule. The durable advantage will belong to operators who can keep expensive capacity productively occupied.

The Benchmark Has a Half-Life: Why AI Scores Need Expiration Dates
AI Research · 4 min read

The Benchmark Has a Half-Life: Why AI Scores Need Expiration Dates

A model score looks permanent in a comparison table, but the evidence behind it decays as test data circulates and developers optimize against familiar targets. AI evaluation needs provenance, renewal, and an explicit shelf life.

AI Code Needs a Chain of Custody, Not a Vibe Check
Applied AI · 5 min read

AI Code Needs a Chain of Custody, Not a Vibe Check

The dangerous question is no longer whether generated code looks plausible. Engineering teams need to know what evidence justifies every change and who owns the uncertainty that remains.

AI’s Scarce Resource Is Becoming the Right to Build
Industry & Business · 4 min read

AI’s Scarce Resource Is Becoming the Right to Build

Chips still matter, but the harder constraint is increasingly the coordinated package of electricity, land, cooling, permits, and long-duration capital. That changes where durable advantage will accumulate.

The Agent Benchmark Is Part of the Agent
AI Research · 4 min read

The Agent Benchmark Is Part of the Agent

Computer-use evaluations are often treated like neutral measuring instruments. In reality, the environment, grader, and recovery rules help determine which kinds of intelligence become visible.


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