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AI Infrastructure · Recursive self-improvement at system level beats model retraining for capability gains
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AI Agentstailwindscore 8/10ian fischer
Model-agnostic harness layer makes any LLM better, cheaper than fine-tuning
A recursive self-improving system layer ('harness') can automatically optimize prompts, reasoning strategies, and context for any foundation model, delivering superior performance at lower…
Recursive self-improvement at system level beats model retraining for capability gains
Instead of spending hundreds of millions retraining models, startups can deploy a meta-optimization system that continuously improves the reasoning harness atop existing LLMs, achieving SOT…