October 2024

shows how stories, like living systems, sustain themselves through feedback and adaptation. Bruce Clarke links literature to cybernetics—the science of self-organizing systems—to reveal that both humans and their narratives evolve by observing, adjusting, and rewriting themselves. In short: storytelling isn’t just art—it’s a survival algorithm for consciousness.

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Canguilhem argues that while machines can imitate life, only living beings create their own rules for survival. A machine obeys commands; an organism invents its own norms. Life isn’t just mechanical function—it’s the power to adapt, to value, to define what “working” even means. Living things aren’t built—they build themselves.

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In this last recorded interview, Terence McKenna reflects on psychedelics, society, and mortality. He calls the War on Drugs a war on imagination, laments capitalism’s desecration of the sacred, and praises ayahuasca as nature’s teacher reconnecting humans to empathy and the planet. Facing death, he remains curious, unafraid, and grateful—still exploring the mystery he’d spent a lifetime mapping.

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The most important scientific discovery of the present era will come when someone—or some group—discovers the answer to the following question: How exactly do neurobiological processes in the brain cause consciousness? This is the most important question facing us in the biological sciences, yet it is frequently evaded, and frequently misunderstood when not evaded.

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This episode explores the milestone of GenAI passing as a human by completing the Turing test as well as why this milestone is so relevant, It compares the 2 giants ChatGPT and Gemini in this arena whilst at the same time explores the ethical dilemma of what it would mean if we weren’t able to distinguish AI from humans and how this is a risk when misused.

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The source, written by Esteban Remecz, a CIO VP at Maxion Wheels, explores the likely trends of Artificial Intelligence (AI) in 2024 and beyond. Remecz emphasizes the exponential growth of AI across various industries, predicting a possible singularity in 2026-2028. The author discusses the potential benefits of AI in fields like healthcare, education, and cybersecurity, while also addressing the ethical and legal challenges associated with its increasing influence. He highlights the importance of developing ethical frameworks and regulations […]

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AI Regulation in Life Sciences: The EU AI Act is a key regulatory development focusing on a risk-based approach to AI governance, particularly in high-risk areas like healthcare. Switzerland, a prominent AI hub, faces the challenge of balancing innovation with international regulatory alignment. Managing AI Risks: The EY Trusted AI Framework helps organizations understand and mitigate AI risks across various dimensions, including performance, bias, resilience, explainability, and transparency. Integrating AI risk management with existing ERM programs is crucial. […]

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