Reality: The Final Eval — Lukas Petersson and Axel Backlund of Andon Labs
In this episode of Latent Space, Lukas Petersson and Axel Backlund of Andon Labs discuss their work on frontier evaluations for AI models, specifically Claude variants from Haiku to Mythos. They introduce VendingBench, a novel evaluation framework designed to assess AI capabilities in a structured and lasting manner. The founders emphasize the difficulty of creating benchmarks that remain relevant as models rapidly improve, and they share insights on building evaluations from scratch that can withstand the test of time. The conversation covers the methodology behind VendingBench, including how it tests models on complex, real-world tasks. Petersson and Backlund also touch on the broader implications for AI safety and alignment, noting that robust evaluations are critical for understanding model limitations and ensuring responsible deployment. The episode provides a deep dive into the technical challenges of eval design and the importance of continuous innovation in this space.
Developers gain insight into building robust AI evaluations that stay relevant as models evolve.