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Category: biological – Page 40

#115 Alexander Rosenberg: Theory of Mind, History, Mental Illusions, and Nihilism

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Dr. Alexander Rosenberg is the R. Taylor Cole Professor of Philosophy at Duke University. He has been a visiting professor and fellow at the Center for the Philosophy of Science, at the University of Minnesota, as well as the University of California, Santa Cruz, and Oxford University, and a visiting fellow of the Philosophy Department at the Research School of Social Science, of the Australian National University. In 2016 he was the Benjamin Meaker Visiting Professor at the University of Bristol. He has held fellowships from the National Science Foundation, the American Council of Learned Societies, and the John Simon Guggenheim Foundation. In 1993, Dr. Rosenberg received the Lakatos Award in the philosophy of science. In 2006–2007 he held a fellowship at the National Humanities Center. He was also the Phi Beta Kappa-Romanell Lecturer for 2006–2007. He’s the author of both fictional and non-fictional literature, including The Atheist’s Guide to Reality, The Girl from Krakow, and How History Gets Things Wrong.
In this episode, we focus on Dr. Rosenberg’s most recent book, How History Gets Things Wrong, and also a little bit on some of the topics of The Atheist’s Guide to Reality. We talk about the theory of mind, and how it evolved; the errors with narrative History, and the negative consequences it might produce; mind-brain dualism; what neuroscience tells us about how our brain and cognition operate; social science, biology, and evolution; the role that evolutionary game theory can play in explaining historical events and social phenomena; why beliefs, motivations, desires, and other mental constructs might not exist at all, and the implications for moral philosophy; if AI could develop these same illusions; and nihilism.

Time Links:
01:17 What is theory of mind, and how did it evolve?
06:16 The problem with narrative History.
08:17 Is theory of mind problematic in modern societies?
11:41 The issue with mind-brain dualism.
13:23 The concept of “aboutness”
15:36 Neuroscience, and no content in the brain.
22.21 What “causes” historical events?
28:09 Why the social sciences need more biology and evolution.
37:13 Evolutionary game theory, and understanding social phenomena.
41:06 The implications for moral philosophy of not having beliefs.
44:34 About “moral progress”
47:41 The usefulness of thought experiments in Philosophy.
49:58 The theory of mind will not be going away anytime soon.
51:37 Could AI systems have these same cognitive illusions?
53:13 A note on nihilism and morality.
57:38 Follow Dr. Rosenberg’s work!
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The Hidden Math Behind All Living Systems

Dr. Sanjeev Namjoshi, a machine learning engineer who recently submitted a book on Active Inference to MIT Press, discusses the theoretical foundations and practical applications of Active Inference, the Free Energy Principle (FEP), and Bayesian mechanics. He explains how these frameworks describe how biological and artificial systems maintain stability by minimizing uncertainty about their environment.

Namjoshi traces the evolution of these fields from early 2000s neuroscience research to current developments, highlighting how Active Inference provides a unified framework for perception and action through variational free energy minimization. He contrasts this with traditional machine learning approaches, emphasizing Active Inference’s natural capacity for exploration and curiosity through epistemic value.

The discussion covers key technical concepts like Markov blankets.
generative models, and the distinction between continuous and discrete implementations. Namjoshi explains how Active Inference moved from continuous state-space models (2003−2013) to discrete formulations (2015-present) to better handle planning problems.

He sees Active Inference as being at a similar stage to deep learning in the early 2000s — poised for significant breakthroughs but requiring better tools and wider adoption. While acknowledging current computational challenges, he emphasizes Active Inference’s potential advantages over reinforcement learning, particularly its principled approach to exploration and planning.

Namjoshi advocates for balanced oversight that enables innovation while maintaining appropriate safeguards. He expresses particular concern about the rapid pace of AI development potentially outpacing our understanding of risks and regulatory frameworks.

Dr. Sanjeev Namjoshi.

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Breakdown of polyethylene therepthalate microplastics under saltwater conditions using engineered Vibrio natriegens

Bioengineered bacteria to eat plastic in seawater:3 Which in large quantities can eat all the plastic in the ocean:3 Yay face_with_colon_three

Poly(ethylene terephthalate) (PET) is a highly recyclable plastic that has been extensively used and manufactured. Like other plastics, PET resists natural degradation, thus accumulating in the environment. Several recycling strategies have been applied to PET, but these tend to result in downcycled products that eventually end up in landfills. This accumulation of landfilled PET waste contributes to the formation of microplastics, which pose a serious threat to marine life and ecosystems, and potentially to human health. To address this issue, our project leveraged synthetic biology to develop a whole-cell biocatalyst capable of depolymerizing PET in seawater environments by using the fast-growing, nonpathogenic, moderate halophile Vibrio natriegens. By leveraging a two-enzyme system—comprising a chimera of IsPETase and IsMHETase from Ideonella sakaiensis —displayed on V. natriegens, we constructed whole-cell catalysts that depolymerize PET and convert it into its monomers in salt-containing media and at a temperature of 30°C.

Terrence Deacon — Philosophy of Biological Information

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What is information in biology? information is essential for analyzing data and testing hypotheses. But what is information in evolution, population genetics, levels of selection, and molecular genetics? Is computational biology transformational?

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Terrence William Deacon is an American neuroanthropologist. He taught at Harvard for eight years, relocated to Boston University in 1992, and is currently Professor of Anthropology and member of the Cognitive Science Faculty at the University of California, Berkeley.

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Closer To Truth, hosted by Robert Lawrence Kuhn and directed by Peter Getzels, presents the world’s greatest thinkers exploring humanity’s deepest questions. Discover fundamental issues of existence. Engage new and diverse ways of thinking. Appreciate intense debates. Share your own opinions. Seek your own answers.

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Optical technique measures intramolecular distances with angstrom precision

Physicists in Germany have used visible light to measure intramolecular distances smaller than 10 nm thanks to an advanced version of an optical fluorescence microscopy technique called MINFLUX. The technique, which has a precision of just 1 angstrom (0.1 nm), could be used to study biological processes such as interactions between proteins and other biomolecules inside cells.

In conventional microscopy, when two features of an object are separated by less than half the wavelength of the light used to image them, they will appear blurry and indistinguishable due to diffraction. Super-resolution microscopy techniques can, however, overcome this so-called Rayleigh limit by exciting individual fluorescent groups (fluorophores) on molecules while leaving neighbouring fluorophores alone, meaning they remain dark.

One such technique, known as nanoscopy with minimal photon fluxes, or MINFLUX, was invented by the physicist Stefan Hell. First reported in 2016 by Hell’s team at the Max Planck Institute (MPI) for Multidisciplinary Sciences in Göttingen, MINFLUX first “switches on” individual molecules, then determines their position by scanning a beam of light with a doughnut-shaped intensity profile across them.

Is There Really a Hard Problem of Consciousness? — Joscha Bach, Artificial Intelligence Researcher

Joscha Bach is a German artificial intelligence researcher and cognitive scientist who works on on cognitive architectures, mental representation, emotion, social modeling, and multi-agent systems. We got connected over the hard problem of consciousness — namely, why do people seem to think it’s so hard? During our conversation we deal with the foundational questions of the technological future being built in Silicon Valley, the fever dream of machine intelligence, and try to understand why people seem to think that there’s even such a thing as the hard problem of consciousness in the first place.

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00:00:00 Go!
00:04:09 Career Advice.
00:11:31 Beauty, Grace, & Hotness.
00:13:48 Putting on Airs.
00:22:32 Patreon Ask.
00:22:33 Winning for the sake of winning.
00:29:35 Transformative experiences.
00:36:25 Speciation event, or crap again?
00:42:17 Who is Joscha Bach.
00:52:39 Physics & Causality.
01:00:52 Physics vs Biology.
01:12:16 Life vs Cells.
01:20:14 Biosynthetic AGI
01:28:15 Creativity & Novelty.
01:38:52 Wetware & Neuromorphic computing.
01:50:46 The Limits of Hardware.
02:05:07 The value of Agency.
02:15:47 Layers of Society.
02:35:03 Chimp Empire.
02:52:31 Collapse.
03:05:13 The Hard Problem.
03:43:28 Computer Imagination.
04:02:52 How reasoning works.
04:14:28 Reward Functions.
04:20:01 Consciousness dreams.
04:25:35 The heart of the disagreement.
04:30:15 Consensus.

#AGI #consciousness #machinelearning.

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Plastic-Eating Enzyme Identified in Wastewater Microbes

Plastic pollution is everywhere, and a good amount of it is composed of polyethylene terephthalate (PET). This polymer is used to make bottles, containers and even clothing. Now, researchers report in Environmental Science & Technology that they have discovered an enzyme that breaks apart PET in a rather unusual place: microbes living in sewage sludge. The enzyme could be used by wastewater treatment plants to break apart microplastic particles and upcycle plastic waste.

Microplastics are becoming increasingly prevalent in places ranging from remote oceans to inside bodies, so it shouldn’t be a surprise that they appear in wastewater as well.

However, the particles are so tiny that they can slip through water treatment purification processes and end up in the effluent that is reintroduced to the environment. But effluent also contains microorganisms that like to eat those plastic particles, including Comamonas testosteroni—so named because it degrades sterols like testosterone.

Michael Levin — Why Intelligence Isn’t Limited To Brains

Professor Michael Levin explores the revolutionary concept of diverse intelligence, demonstrating how cognitive capabilities extend far beyond traditional brain-based intelligence. Drawing from his groundbreaking research, he explains how even simple biological systems like gene regulatory networks exhibit learning, memory, and problem-solving abilities. Levin introduces key concepts like “cognitive light cones” — the scope of goals a system can pursue — and shows how these ideas are transforming our approach to cancer treatment and biological engineering.