
The Fix for Broken Benchmarks Is Architecture, Not Smarter Models
Agent benchmark noise is being fixed by architecture - ledgers, counterfactuals, decomposition, personas, readout discipline - not by smarter judges.
18 articles - page 2 of 2

Agent benchmark noise is being fixed by architecture - ledgers, counterfactuals, decomposition, personas, readout discipline - not by smarter judges.

Agent benchmarks are noisier than their scores admit: audits found misaligned ground truth, lenient model judges and scalars that hide failures. What to trust.

Agent memory is moving into the model: in-backbone memory, parametric memory, reconstruction and transactional writes challenge external stores. What to do now.

What happens when AI tokens are too cheap to meter: five scenarios for developers and knowledge work, each with the signal that tells you it is arriving.

What if AI was free tomorrow at today's capabilities? A thought experiment on what changes for developers when price hits zero, and what stays scarce.
Showing 13-17 of 17 articles

New tutorials, open-source projects, and deep dives on coding agents - delivered weekly.
Explore 842 topics
Browse All Topics