•3 min read
Why Frontier Models Stay Spiky
Frontier models stay spiky because useful work is contextual and counterfactual paths are ungradable. Post-training quality is a grader problem, not a pretraining-size problem.
Posts tagged with #evals
← View all posts•4 min read
Can You Fire the Generalist?
The durable firm asset is not the model or the harness. It is the hill-climbing loop that turns a rented generalist into a company veteran you can keep.
•4 min read
The Moat Moved to the Runtime
Evals, provenance, and execution controls are merging into the agent runtime. The advantage is shifting from model quality to who owns the deployment surface.
•4 min read
When Safety Moves Inside the Runtime
Agent safety is shifting from a bolt-on audit layer into the runtime itself, and that quietly changes where the competitive moat sits.
•3 min read
The Eval Layer Is Gone. It's Inside the Runtime Now.
Evals and security controls are being absorbed into the agent runtime. The moat is no longer model quality, it's control of the deployment surface.