Join our expert panel of PhDs, senior developers, and machine learning engineers as they dissect a groundbreaking paper on the nature of consciousness. From the intricacies of neural networks to philosophical debates about the "hard problem" of consciousness, we cover it all with a mix of technical rigor and intellectual curiosity.
As AI continues to evolve and neural networks become more sophisticated, are we getting closer to machines that can think—and perhaps even experience—like humans? Our panel discusses the implications of recent advances in AI, including developments in large language models (LLMs) and brain-computer interfaces, to question the future of human cognition, free will, and the ethical responsibilities that come with creating intelligent systems.
Whether you're a cognitive scientist, a software engineer, or a tech enthusiast fascinated by the convergence of mind and machine, this episode promises to challenge your assumptions and offer new frameworks for thinking about the future of intelligence.
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