Wharton School

用 AI 让我们变笨了吗？｜S10E25 adds Wharton/Penn through a high-school math tutoring experiment discussed in the episode. The source uses it to contrast direct GPT-4 answer access with AI Guided Learning Guardrails / AI引导式学习护栏 that require students to state their reasoning and receive stepwise hints, making Wharton part of the wiki’s AI-learning design branch.

The Wharton School appears in How confident are crypto consumers? as the academic institution behind the Consumer Cryptocurrency Confidence Index. The episode uses Wharton’s monthly survey to ask whether consumer confidence in crypto can help explain or anticipate crypto-market moves.

In the wiki, Wharton anchors the research-method side of the crypto branch. The source does not provide survey-method details such as sample size or weighting, so the page records Wharton as the institutional context for the index rather than treating the index as a fully validated forecasting tool.

Are humans losing the ability to think for themselves? adds an AI decision-making branch through Steve Shaw. The Marketplace Tech episode links Wharton research to Cognitive Surrender, where users defer to AI answers even when those answers are wrong, and to Artificial Cognition, Shaw’s “system three” frame for AI entering fast/slow human judgment.

Older workers aren’t retiring. Should they be forced to? adds Wharton through Olivia S. Mitchell, who studies pensions and retirement. Her Planet Money role is to challenge broad forced-retirement claims through the Lump of Labor Fallacy and to stress Retirement Security Tradeoff when pensions and public retirement programs are under pressure.

Connections

• Dave Reibstein - Wharton marketing professor interviewed about the index.
• Steve Shaw - Wharton researcher interviewed about cognitive surrender and AI-mediated decision-making.
• Olivia S. Mitchell - Wharton economist interviewed about retirement, pensions, and older workers.
• Marketplace Tech and Stephanie Hughes - media context for the discussion.
• Planet Money - source context for Mitchell’s retirement-policy argument.
• Crypto Consumer Confidence - survey and concept associated with the school in this source.
• Cognitive Surrender and Artificial Cognition - AI decision-making concepts associated with the April 8, 2026 Marketplace Tech episode.
• Cryptocurrency Market Structure and Investment Risk Management - adjacent market and risk-management frames.
• Lump of Labor Fallacy and Retirement Security Tradeoff - labor and pension concepts added by the Planet Money episode.
• AI Guided Learning Guardrails / AI引导式学习护栏, AI As Tutor, and AI Shortcut Risk - AI tutoring and learning-transfer branch added by S10E25.