🎙️ Here we go, yo! This week, Lola Oyelayo-Pearson and Mamuna Oladipo dive straight into Google’s Gemini controversy—how AI is shaping search, the tensions between facts, critical reasoning, and bias, and whether Google got too caught up in altruism.

Gemini was supposed to be Google’s AI breakthrough, but its "historical inaccuracies" and ethical AI issues have led to a $90 billion selloff and major backlash. Did Google’s AI team get too wrapped up in solving history’s injustices at the cost of accuracy?

📌 Inside This Episode:
🔹 Google’s AI Problem: What went wrong with Gemini, search relevancy, and factual accuracy?
🔹 Facts vs. Interpretation vs. Critical Reasoning:

• Why is AI rewriting history?
• When does an AI model become opinionated?
• Google’s past fears & the "Gorilla Incident" from Google Photos.
  🔹 Was Google Trying Too Hard?
• Google should have been first to AI dominance, but did they get distracted by ethical dilemmas?
• Bard vs. Gemini: How did one prepare users for imperfection while the other didn’t?
• Controversy farming & AI’s role in reshaping narratives.

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Show Notes:

• https://www.forbes.com/sites/dereksaul/2024/02/26/googles-gemini-headaches-spur-90-billion-selloff/
• https://www.theverge.com/2024/2/21/24079371/google-ai-gemini-generative-inaccurate-historical
• https://www.nytimes.com/2024/03/07/podcasts/the-daily/gemini-google-ai.html