Who's Who of AI

Ahmad Beirami

412 trust researcher @abeirami.bsky.social · 3,709 followers
AI research Agents & robotics Models & releases
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Researcher with public evidence across AI research, Agents & robotics, Models & releases.

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stealth // Gemini RL+inference @ Google DeepMind // Conversational AI @ Meta // RL Agents @ EA // ML+Information Theory @ MIT+Harvard+Duke // Georgia Tech PhD 📍{NYC, SFO, YYZ} 🔗 https://beirami.github.io/
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Hi Julian: I totally agree that vast body of literature on evolutionary optimization is relevant; in fact GEPA (arxiv.org/abs/2507.19457) and AlphaEvolve (arxiv.org/abs/2506.13131) are instances of evolutionary optimization. To me, the biggest open question though is that of g…

GEPA: Reflective Prompt Evolution Can Outperform Reinforcement Learning arxiv.org
AI Weekly's analysis →
  • GEPA outperforms GRPO by 6% on average and up to 20% across six tasks, while using up to 35x fewer rollouts.
  • The same method beats leading prompt optimizer MIPROv2 by more than 10%, including a +12% accuracy gain on AIME-2025.
  • Authors argue natural-language reflection on trajectories is a richer learning signal than sparse scalar reward gradients.
Read full analysis →
View on Bluesky · ♥ 1 ↻ 0 ↩ 1 · 2 from the directory shared this · 84d ago
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Recent commentary

While everyone is focused on the safety risks exposed by the OpenAI/HF breach, the incident also highlights an equally important but less understood issue. Even in the non-adversarial case, unlike classical ML, we have no idea how to measure/prevent overoptimization when building agentic harnesses.

View on Bluesky · ♥ 2 ↻ 0 ↩ 0 · 46d ago
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