Episode Summary

Gabriel Custodiet speaks with Emmanuel Maggiori, author of several books on artificial intelligence and Silicon Valley. Specifically, Maggiori speaks on the disappointments of these over-hyped industries, the crazy over-funding, and the simultaneous culture of workers who have nothing to do. The discussion also veers toward AI and the reasons why AI in its current form has limited benefits, many unsolvable flaws, and will not match the hype attached to it: not even close.   GUEST → https://emaggiori.com/ → https://www.amazon.com/stores/Emmanuel-Maggiori/author/B08Q468YQ4 WATCHMAN PRIVACY → https://watchmanprivacy.com (Including privacy consulting) → https://twitter.com/watchmanprivacy → https://escapethetechnocracy.com/ CRYPTO DONATIONS →8829DiYwJ344peEM7SzUspMtgUWKAjGJRHmu4Q6R8kEWMpafiXPPNBkeRBhNPK6sw27urqqMYTWWXZrsX6BLRrj7HiooPAy (Monero) →https://btcpay0.voltageapp.io/apps/3JDQDSj2rp56KDffH5sSZL19J1Lh/pos (BTC) Timeline 00:00 – Introduction 1:30 – Guest background 3:25 – SiliCONned: the waste of capital in tech investment 18:25 – The failures of VC funding 21:00 – Culture of no work at tech companies 29:00 – Reckoning coming to Big Tech 30:30 – Smart Until It’s Dumb: the inherent limitations of machine learning 38:30 – Data sets make AI much more inefficient than most people realise 41:45 – How to trick AI 45:10 – How can locally hosted LLMs store so much in so little space? 49:35 – Explaining Nvidia's DLSS 55:00 – How marketing exaggerates AI 1:01:00 – Rapid fire questions 1:03:06 – Can digital things act like human brains? 1:08:00 – Final thoughts Music by Karl Casey @ White Bat Audio
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