Former Apple employee, Mark Suman explains why Apple refused to allow ChatGPT internally and what that reveals about how AI systems are learning how we think.
Most people are now using AI every day - for work, personal decisions, even private conversations. But as Mark explains, the more we share, the more these systems begin to model our behaviour, often understanding our thinking patterns better than we do ourselves.
This raises a deeper question: what happens when intelligence is centralised, and systems can influence not just what we do, but how we think?
We discuss privacy, data, government power, and the trade-offs between convenience and control and why the biggest risks of AI are not in the future, but already happening now.
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TIMESTAMPS:
00:00 Introduction
01:17 What is "thought capture"?
02:57 How AI starts profiling users
06:40 Are we heading to superintelligence?
08:51 Mapping human thinking at scale
11:38 How algorithms influence behaviour
16:53 Why Apple blocked ChatGPT internally
20:00 The risks of sharing data with AI
25:55 Advice for everyday users
30:00 The real risks of AI systems
32:13 AI and mass influence
35:46 How AI could steer opinions
42:01 AI, Bitcoin & sovereignty
47:25 Where we are as a civilisation
50:00 Trust in institutions collapsing
55:47 Is society breaking?
1:12:45 AI and job displacement
1:15:02 Should AI be regulated?
1:23:55 AI exhaustion
1:29:13 The future of human work
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CONTACT PETE
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FILMED BY CURTIS TAYLOR
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EDITED BY CONOR MCCORMACK
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