Artificial intelligence is advancing faster than almost any technology in history, yet surprisingly few people understand what large language models are actually doing behind the scenes.
In this masterclass, Albert Berdellans, Global Head of AI at Inveniam, explains AI in plain English. We explore why ChatGPT doesn't actually "think," how large language models generate answers, why hallucinations occur, what context rot means, and where AI is likely to transform knowledge work over the next decade.
Whether you're an investor, business leader, student, or simply curious about artificial intelligence, this conversation provides a practical framework for separating hype from reality.
Topics include:
• How large language models actually work
• Why AI predicts rather than thinks
• Hallucinations, context rot, and reasoning
• What AI can and cannot do today
• AI's impact on finance, healthcare, education, and consulting
• Why AI is more likely to augment professionals than replace them
If you enjoy thoughtful conversations about technology, economics, investing, and the forces shaping human progress, subscribe to Exploring Prosperity.
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Timestamps:
00:00 AI Isn't Thinking
02:00 Why AI Won't Replace People
03:08 AI Has No Motivation
04:53 Garbage In, Garbage Out
06:58 What Is Context Rot?
08:16 How Large Language Models Actually Work
10:23 Why AI Gives Different Answers
11:04 Why AI Hallucinates
12:40 Can You Trust AI?
14:18 Prediction vs. Reasoning
15:11 Why AI Only Sounds Smart
16:50 AI's Biggest Real-World Applications
18:04 The Spreadsheet Revolution Analogy
18:54 Will AI Replace Jobs?
20:31 Permanent Due Diligence
24:35 AI in Healthcare & Education
30:36 Personalized Education
32:24 How AI Could Improve Society
