optimize_anything: A Universal API for Optimizing any Text Parameter - GEPA

kept by eddie feb 20

GEPA's optimize_anything API optimizes any text-representable artifact (code, prompts, agent architectures) and achieves state-of-the-art results across eight domains, matching or beating domain-specific tools.

The Problem is Prompt Debt
Hand-tuning natural language prompts for AI systems accumulates debt that slows iteration, locks teams to one model, and should be replaced with metrics, tests, and automated prompt optimization.
also on GEPA, Claude Code, #software-engineering, #ai, #developer-tools
AlphaEvolve: Gemini-powered coding agent scaling impact across fields — Google DeepMind
AlphaEvolve, a Gemini-powered coding agent, has optimized algorithms across genomics, quantum physics, and infrastructure, achieving significant improvements.
also on AlphaEvolve, Gemini, #ai-coding, #ai, #developer-tools
The AI Revolution in Math Has Arrived
Since mid-2025, AI models have begun proving new mathematical results at an accelerating pace, with mathematicians reporting discoveries that would have taken weeks now achieved in days.
also on AlphaEvolve, #ai
LLMs as Judges: Measuring Bias, Hinting Effects, and Tier Preferences
LLMs used as judges to evaluate other LLMs exhibit measurable self-preference bias, with GPT showing the strongest self-bias and Claude the weakest, while revealing model identities through hinting changes judge behavior unevenly across vendors and domains.
also on GPT, Gemini, #ai-coding, #developer-tools
How did ‘large’ language models get that way? The role of Transformers and Pretraining in GPT - LessWrong 2.0 viewer
The transformer architecture and pretraining enabled enormous scaling of language models, making 'large language models' a fitting description.
also on GPT, #software-engineering, #ai