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Artificiality: Minds Meeting Machines

Podcast Artificiality: Minds Meeting Machines
Helen and Dave Edwards
Artificiality was founded in 2019 to help people make sense of artificial intelligence. We are artificial philosophers and meta-researchers. We believe that und...

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  • Michael Levin—The Future of Intelligence: Synthbiosis
    At the Artificiality Summit 2024, Michael Levin, distinguished professor of biology at Tufts University and associate at Harvard's Wyss Institute, gave a lecture about the emerging field of diverse intelligence and his frameworks for recognizing and communicating with the unconventional intelligence of cells, tissues, and biological robots. This work has led to new approaches to regenerative medicine, cancer, and bioengineering, but also to new ways to understand evolution and embodied minds. He sketched out a space of possibilities—freedom of embodiment—which facilitates imagining a hopeful future of "synthbiosis", in which AI is just one of a wide range of new bodies and minds. Bio: Michael Levin, Distinguished Professor in the Biology department and Vannevar Bush Chair, serves as director of the Tufts Center for Regenerative and Developmental Biology. Recent honors include the Scientist of Vision award and the Distinguished Scholar Award. His group's focus is on understanding the biophysical mechanisms that implement decision-making during complex pattern regulation, and harnessing endogenous bioelectric dynamics toward rational control of growth and form. The lab's current main directions are: - Understanding how somatic cells form bioelectrical networks for storing and recalling pattern memories that guide morphogenesis; - Creating next-generation AI tools for helping scientists understand top-down control of pattern regulation (a new bioinformatics of shape); and - Using these insights to enable new capabilities in regenerative medicine and engineering. www.artificiality.world/summit
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  • Artificiality Keynote at the Imagining Summit 2024
    Our opening keynote from the Imagining Summit held in October 2024 in Bend, Oregon. Join us for the next Artificiality Summit on October 23-25, 2025! Read about the 2024 Summit here: https://www.artificiality.world/the-imagining-summit-we-imagined-and-hoped-and-we-cant-wait-for-next-year-2/ And join us for the 2025 Summit here: https://www.artificiality.world/summit/
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  • DeepSeek: What Happened, What Matters, 
and Why It’s Interesting
    First: - Apologies for the audio! We had a production error… What’s new: - DeepSeek has created breakthroughs in both: How AI systems are trained (making it much more affordable) and how they run in real-world use (making them faster and more efficient) Details - FP8 Training: Working With Less Precise Numbers - Traditional AI training requires extremely precise numbers - DeepSeek found you can use less precise numbers (like rounding $10.857643 to $10.86) - Cut memory and computation needs significantly with minimal impact - Like teaching someone math using rounded numbers instead of carrying every decimal place - Learning from Other AIs (Distillation) - Traditional approach: AI learns everything from scratch by studying massive amounts of data - DeepSeek's approach: Use existing AI models as teachers - Like having experienced programmers mentor new developers: - Trial & Error Learning (for their R1 model) - Started with some basic "tutoring" from advanced models - Then let it practice solving problems on its own - When it found good solutions, these were fed back into training - Led to "Aha moments" where R1 discovered better ways to solve problems - Finally, polished its ability to explain its thinking clearly to humans - Smart Team Management (Mixture of Experts) - Instead of one massive system that does everything, built a team of specialists - Like running a software company with: - 256 specialists who focus on different areas - 1 generalist who helps with everything - Smart project manager who assigns work efficiently - For each task, only need 8 specialists plus the generalist - More efficient than having everyone work on everything - Efficient Memory Management (Multi-head Latent Attention) - Traditional AI is like keeping complete transcripts of every conversation - DeepSeek's approach is like taking smart meeting minutes - Captures key information in compressed format - Similar to how JPEG compresses images - Looking Ahead (Multi-Token Prediction) - Traditional AI reads one word at a time - DeepSeek looks ahead and predicts two words at once - Like a skilled reader who can read ahead while maintaining comprehension Why This Matters - Cost Revolution: Training costs of $5.6M (vs hundreds of millions) suggests a future where AI development isn't limited to tech giants. - Working Around Constraints: Shows how limitations can drive innovation—DeepSeek achieved state-of-the-art results without access to the most powerful chips (at least that’s the best conclusion at the moment). What’s Interesting - Efficiency vs Power: Challenges the assumption that advancing AI requires ever-increasing computing power - sometimes smarter engineering beats raw force. - Self-Teaching AI: R1's ability to develop reasoning capabilities through pure reinforcement learning suggests AIs can discover problem-solving methods on their own. - AI Teaching AI: The success of distillation shows how knowledge can be transferred between AI models, potentially leading to compounding improvements over time. - IP for Free: If DeepSeek can be such a fast follower through distillation, what’s the advantage of OpenAI, Google, or another company to release a novel model?
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  • Hans Block & Moritz Riesewieck: Eternal You
    We’re excited to welcome writers and directors Hans Block and Moritz Riesewieck to the podcast. Their debut film, ‘The Cleaners,’ about the shadow industry of digital censorship premiered at the Sundance Film Festival in 2018 and has since won numerous international awards and been screened at more than 70 international film festivals. We invited Hans and Moritz to the podcast to talk about their latest film, Eternal You, which examines the story of people who live on as digital replicants—and the people who keep them living on. We found the film to be quite powerful. At times inspiring and at others disturbing and distressing. Can a generative ghost help people through their grief or trap them in it? Is falling for a digital replica healthy or harmful? Are the companies creating these technologies benefitting their users or extracting from them? Eternal You is a powerful and important film. We highly recommend taking the time to watch it—and allowing for time to digest and consider. Hans and Moritz have done a brilliant job exploring a challenging and delicate topic with kindness and care. Bravo. ------------ If you enjoy our podcasts, please subscribe and leave a positive rating or comment. Sharing your positive feedback helps us reach more people and connect them with the world’s great minds. Subscribe to get Artificiality delivered to your email Learn about our book Make Better Decisions and buy it on Amazon Thanks to Jonathan Coulton for our music
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  • How AI Affects Critical Thinking and Cognitive Offloading
    Briefing: How AI Affects Critical Thinking and Cognitive Offloading What This Paper Highlights - The study explores the growing reliance on AI tools and its effects on critical thinking, specifically through cognitive offloading—delegating mental tasks to AI systems. - Key finding: Frequent AI tool use is strongly associated with reduced critical thinking abilities, especially among younger users, as they increasingly rely on AI for decision-making and problem-solving. - Cognitive offloading acts as a mediating factor, reducing opportunities for deep, reflective thinking. Why This Is Important - Shaping Minds: Critical thinking is central to decision-making, problem-solving, and navigating misinformation. If AI reliance erodes these skills, it has profound implications for education, work, and citizenship. - Generational Divide: Younger users show higher dependence on AI, suggesting that future generations may grow less capable of independent thought unless deliberate interventions are made. - Education and Policy: There’s an urgent need for strategies to balance AI integration with fostering cognitive skills, ensuring users remain active participants rather than passive consumers. What’s Curious and Interesting - Cognitive Shortcuts: Participants increasingly trust AI to make decisions, yet this trust fosters "cognitive laziness," with many users skipping steps like verifying or analyzing information. - AI’s Double-Edged Sword: While AI improves efficiency and provides tailored solutions, it also reduces engagement in activities that develop critical thinking, like analyzing arguments or synthesizing diverse viewpoints. - Education as a Buffer: People with higher educational attainment are better at critically engaging with AI outputs, suggesting that education plays a key role in mitigating these risks. What This Tells Us About the Future - Critical Thinking at Risk: AI tools will only grow more pervasive. Without proactive efforts to maintain cognitive engagement, critical thinking could erode further, leaving society more vulnerable to misinformation and manipulation. - Educational Reforms Needed: Active learning strategies and media literacy are essential to counterbalance AI’s convenience, teaching people how to engage critically even when AI offers "easy answers." - Shifting Cognitive Norms: As AI takes over more routine tasks, we may need to redefine what skills are critical for thriving in an AI-driven world, focusing more on judgment, creativity, and ethical reasoning. AI Tools in Society: Impacts on Cognitive Offloading and the Future of Critical Thinking by Michael Gerlichhttps://www.mdpi.com/2075-4698/15/1/6
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Artificiality was founded in 2019 to help people make sense of artificial intelligence. We are artificial philosophers and meta-researchers. We believe that understanding AI requires synthesizing research across disciplines: behavioral economics, cognitive science, complexity science, computer science, decision science, design, neuroscience, philosophy, and psychology. We publish essays, podcasts, and research on AI including a Pro membership, providing advanced research to leaders with actionable intelligence and insights for applying AI. Learn more at www.artificiality.world.
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