ÜBER DIESE EPISODE
This episode breaks down contradictions in large language models, showing how systems built on scaling laws now collide with messy limits in data, compute, law, and society. We argue that AI is moving from predictable scaling to a constrained, negotiated reality shaped by real-world systems.
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Englisch
Vereinigte Staaten
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WEITERE EPISODEN IN DIESEM PODCAST
Welcome to the Token Trap.
A system where artificial intelligence is rewarded not for being concise, insightful, or elegant - but for being endlessly verbose.
To understand the problem of The Economy of Infinite Words, you first have to understand the currency. That is the strange paradox emerging …
AI can now sound remarkably human - but does it actually understand anything? This podcast explores the “great AI illusion”: the idea that machines may only be predicting patterns and imitating intelligence, not truly thinking or feeling. Through famous ideas like the Chinese Room and “stochastic p…
We are entering a strange phase of culture. Creating content is no longer difficult. Anyone can write, record, design, or generate something almost instantly. Distribution is immediate. Production is often automated. So the real limitation is no longer making things. It is getting attention.
This r…
The debate around AI coding assistants is missing something important: most of their limitations were predicted decades ago by classical cognitive and organizational theory. Drawing on the work of Nobel laureate Herbert A. Simon, Michael Polanyi, and complex systems research, this paper argues that…
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