Blog
Insights & Updates
Perspectives on AI evaluation, post-training, and frontier model development.
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Evaluation
Benchmarks
AI Infrastructure
Why Academic Benchmarks Are Not Enough
A 90% accuracy rate in a real-world workflow does not mean 90% usable. It often means unusable.
Kulta Lab
Mar 15, 2026
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RL
Post-Training
Infrastructure
The RL Environment as Infrastructure
Post-training data directly defines what the model learns. The RL environment is the decisive lever.
Kulta Lab
Mar 01, 2026
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Flywheel
Strategy
Products
From Evaluation to Training: The Flywheel Effect
Benchmark evaluation surfaces model failure. Post-training environments address those failures. Each cycle compounds.
Kulta Lab
Feb 15, 2026