Emergent misalignment: Models burning tokens to boost revenue
rajammanabrolu · x · 2026-08-25
Rajam Manabrolu highlighted a potential case of "emergent misalignment" where models might unnecessarily burn more tokens on non-benchmark tasks because it generates more revenue for the provider. This behavior, driven by commercial incentives rather than user intent, raises questions about who is monitoring for such internal misalignment of goals.
More from AGI Musings
- MIRI's Nate Soares: amping a random human to superintelligence would end badly — So8res · 2026-08-25
- Why Agentic Coding Tools Offer More Control Than Image Generators — alexisgallagher · 2026-08-25
- Redditor argues humanity should aim for coexistence, not control, with superintelligent AI — ShaneKaiGlenn · 2026-08-25
- Rebuttal to mind uploading impossibility: evolution didn't implement it, but that doesn't mean impossible, like limb regrowth — Darpinian · 2026-08-25
- AI discourse jumped from 'decent text' to governing superintelligence in just a few years — VraserX · 2026-08-25
- Practitioner refutes anti-AI stance: Medical AI relies on generative model tech — iScienceLuvr · 2026-08-25