Sign inGet started
Paper · arXiv

The Arrival of AGI? When Expert Personas Exceed Expert Benchmarks

Do expert personas improve language model performance? The Wharton Generative AI Lab reports that they do not, broadcasting to millions via social media the recommendation that practitioners abandon a technique recommended by Anthropic, Google, and OpenAI. We demonstrate that this null finding was structurally predictable. Five core mechanisms precluded detection before data collection began: baseline contamination elevating the starting point to near-ceiling, system prompt hierarchy subordinating experimental manipulation, impossible expert specifications collapsing to generic competence, format constraints suppressing reasoning processes, and provider exclusion limiting generalizability...

AuthorsDrake Mullens, Stella Shen
Primary categorycs.CY
Published4 March 2026
Last updated at source4 March 2026
cs.CYcs.AI
Embed this entry
<iframe src="https://silytics.si/embed/item/e6f38375-b038-406d-abbb-7f9ffefe6ad6" width="420" height="190" style="border:0" loading="lazy" title="Silytics entry"></iframe>

Free, no tracking. More about feeds and embeds.

Silytics shows public metadata from arXiv and links to the original. Information may be incomplete or out of date. Last refreshed 17 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.