AI5 Podcast & Briefings

Kate Crawford argues that AI is neither artificial nor intelligent: it is built from mined minerals, underpaid labor, and mass data extraction. This summary traces the political and environmental costs hidden behind the cloud, and asks who really pays for AI's planetary footprint.

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Food prices are up 29.5% since 2019, and eggs alone are set to jump 33.2% in 2025. Geopolitical conflicts, supply chain disruptions, trade and tariff challenges and climate change are driving the increase. Meanwhile, AI promises to revolutionize agriculture with autonomous tractors, predictive analytics, satellite crop monitoring and soil and irrigation intelligence. So how do we explain the gap between AI's agricultural promises and our grocery receipts? Can AI save us, or are we missing something bigger?

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Most AI models are fundamentally trained to generate plausible-sounding answers, not to assess their own knowledge boundaries. Sometimes they confidently provide an answer, even if it's wrong. Sometimes, as in my case, they say "no" when they lack information, instead of saying 'I don't know'. As we move forward, building truly responsible AI will mean teaching our systems (and perhaps ourselves) that it's okay not to have all the answers.

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With AI, we are designing new proteins in a second! This would have taken a decade in the past. This is the essence of AI's role in reshaping biology. Are we hacking life?

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The Future of AI: Three Insights from Sam Altman

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