The Credibility Layer: Checking What to Trust with AI

About this episode

How do we know what to trust in a world filled with misinformation, outdated headlines, hidden incentives, and AI-generated content? Aki, founder and CEO of Credible AI, joins the hosts to explore how AI can help people evaluate information, identify bias, and make better decisions. The conversation covers the credibility layer for the internet, political bias in AI models, transparency in healthcare research, conflicts of interest, and his platform Skim for quickly understanding videos and articles.

Chapters

• Introduction (0:09)
• From Princeton to Microsoft, Twitter, and Uber (0:56)
• Success, luck, privilege, and the fourth cookie (2:47)
• The story behind Credible AI (6:04)
• Could Credible AI exist without artificial intelligence? (9:27)
• Bias, nuance, and rebuilding critical thinking (11:32)
• Aligning business incentives with users (14:38)
• Does it matter whether content was created by AI? (19:34)
• Building a credibility layer for the internet (22:39)
• Political bias within AI models (23:37)
• Credibility, funding, and bias in healthcare research (27:18)
• Why conflicts of interest should be disclosed upfront (29:28)
• The risks of relying on a single data point (32:50)
• Patient experiences, peptides, and medical research (33:26)
• Fake reviews and the loss of trust online (36:43)
• Can AI help restore critical thinking? (37:15)
• The difference between Credible AI and Skim (40:03)
• How Skim could support businesses and professional teams (42:55)
• AI advertising and potential conflicts of interest (47:46)
• How AI could transform platforms like X and Reddit (49:19)
• How Aki uses AI in his personal life (52:19)
• Using AI to plan and track fitness goals (53:31)
• Where to find Aki and Skim (56:09)

Connect with Aki: skim.plus

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