Dynamic Evaluation author: Test-time adaptation holds untapped potential in frontier models
MannyKayy · x · 2026-08-25
The author reflects on their 2017 paper on Dynamic Evaluation, noting that while it should have become standard practice, it remains underutilized even seven years later.
Key Points:
- Continuous Optimization: With the right strategy, optimizers need not be turned off, allowing the model to adapt to every input.
- Potential: Test-time adaptation unlocks capabilities in logic reasoning, personalization, and lifelong learning.
- Current State: This is an under-researched area with substantial performance gains still untapped in current frontier models.
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