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Agent harnesses echo genetic algorithms in LLM evolution

The concept of agent harnesses and harness engineering is drawing parallels to older genetic algorithms. This approach involves defining fitness functions, such as test suites or code quality analyses, and then allowing large language models to iterate and evolve until they meet a specified threshold. AI

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IMPACT Draws conceptual links between current LLM development and older evolutionary computation techniques.

RANK_REASON The item discusses a conceptual link between current AI techniques and older algorithms, offering an opinion or analysis rather than a new release or event.

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  1. Mastodon — fosstodon.org TIER_1 · [email protected] ·

    All of the work on agent harnesses and harness engineering makes me think a bit about the older concept of genetic algorithms. You define fitness functions (tes

    All of the work on agent harnesses and harness engineering makes me think a bit about the older concept of genetic algorithms. You define fitness functions (test suites, code quality analyses, architectural tests, linting, etc) and let the LLM iterate/evolve until the fitness fun…