#research
12 articles · page 2 of 2
The Next Bottleneck in AI Research Is Not Reasoning. It’s Measurement.
Model capability is improving fast enough that the old habit of treating benchmarks as marketing collateral no longer works. The frontier is shifting toward evaluation systems that look more like serious product infrastructure than leaderboard theater.
The Benchmark Is Becoming the Product
Model progress is no longer bottlenecked by bigger pretraining runs alone. The harder problem now is deciding what “good” means once an AI system touches messy, real-world work.
The Next AI Bottleneck Is Not Model Size. It Is Evaluation Drift.
For two years, the industry treated benchmark gains like a scoreboard for intelligence. The harder problem is now visible inside real deployments: models change, tasks change, and the evaluation frame quietly stops matching the work.