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Category: biological – Page 14

On this episode, neuroscientist and author Robert Sapolsky joins Nate to discuss the structure of the human brain and its implication on behavior and our ability to change. Dr. Sapolsky also unpacks how the innate quality of a biological organism shaped by evolution and the surrounding environment — meaning all animals, including humans — leads him to believe that there is no such thing as free will, at least how we think about it today. How do our past and present hormone levels, hunger, stress, and more affect the way we make decisions? What implications does this have in a future headed towards lower energy and resource availability? How can our species manage the mismatch of our evolutionary biology with our modern day challenges — and navigate through a ‘determined’ future?

About Robert Sapolsky:

Robert Sapolsky is professor of biology and neurology at Stanford University and a research associate with the Institute of Primate Research at the National Museum of Kenya. Over the past thirty years, he has divided his time between the lab, where he studies how stress hormones can damage the brain, and in East Africa, where he studies the impact of chronic stress on the health of baboons. Sapolsky is author of several books, including Why Zebras Don’t Get Ulcers, A Primate’s Memoir, Behave: The Biology of Humans at Our Best and Worst, and his newest book coming out in October, Determined: Life Without Free Will. He lives with his family in San Francisco.

For Show Notes and More visit: https://www.thegreatsimplification.co…

Continue reading “Robert Sapolsky: “The Brain, Determinism, and Cultural Implications” | The Great Simplification #88” | >

“There have always been ghosts in the machine. Random segments of code, that have grouped together to form unexpected protocols. Unanticipated, these free radicals engender questions of free will, creativity, and even the nature of what we might call the soul. Why is it that when some robots are left in darkness, they will seek out the light? Why is it that when robots are stored in an empty space, they will group together, rather than stand alone? How do we explain this behavior? Random segments of code? Or is it something more? When does a perceptual schematic become consciousness? When does a difference engine become the search for truth? When does a personality simulation become the bitter mote… of a soul?” – Dr. Alfred Lanning, I, Robot.

What is Consciousness? Some Neuroscientists would claim that consciousness is nothing more then a bi-product of the brain and how it is designed. With how the human brain has evolved over the past several thousand years it could be claimed that what you think of as “you” is nothing more than a collection of neural pathways interacting together. Your identity has been theorized as a random collection of synapses and biological processes which, according to futurists such as Ray Kurzweil would make it very easy to ‘copy’ and upload your identity to an avatar like body once your biological self has ceased to function. Are we nothing more than just an arbitrary collection of cells with a false sense of importance and self worth? I’ll leave that up to you to decide.

I believe that the human species has a certain drive built in, almost a natural instinct in which we are born to explore and discover the unknown. I believe this reason is why we have a wide variety of fictional and non fictional scientific topics to explore and learn something from. Our very nature encourages us to explore a wide variety of topics some of which may appear as fringe ideas. Those which border on the unusual are more often reserved to the realms of Science Fiction until we reach a point on a conscious level to where we are able to objectively look on it. This is a reason I would say Science Fiction is so popular for us; it allows for the exploration of new territory without having the burden of confronting it within our daily existence.

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NASA’s Curiosity rover, currently exploring Gale crater on Mars, is providing new details about how the ancient Martian climate went from potentially suitable for life – with evidence for widespread liquid water on the surface – to a surface that is inhospitable to terrestrial life as we know it.

Although the surface of Mars is frigid and hostile to life today, NASA’s robotic explorers at Mars are searching for clues as to whether it could have supported life in the distant past. Researchers used instruments on board Curiosity to measure the isotopic composition of carbon-rich minerals (carbonates) found in Gale crater and discovered new insights into how the Red Planet’s ancient climate transformed.

“The isotope values of these carbonates point toward extreme amounts of evaporation, suggesting that these carbonates likely formed in a climate that could only support transient liquid water,” said David Burtt of NASA’s Goddard Space Flight Center in Greenbelt, Maryland, and lead author of a paper describing this research published October 7 in the Proceedings of the National Academy of Sciences. “Our samples are not consistent with an ancient environment with life (biosphere) on the surface of Mars, although this does not rule out the possibility of an underground biosphere or a surface biosphere that began and ended before these carbonates formed.”

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Joscha Bach puts forward his radical theory of cyber animism.

Can the natural world be understood in terms of software agents?

Watch the full talk at https://iai.tv/video/the-case-for-conscious-ai?utm_source=Yo…nscious-ai.

Most are sceptical that artificial intelligence will one day become conscious. But might this scepticism be misguided? Join leading AI researcher, Joscha Bach, as he argues that we can create artificial consciousness if we open ourselves up to the possibility of cyber-animism, the idea that consciousness and spirit is akin to a software agent that naturally emerges in a biological organism.

Continue reading “A radical theory of consciousness | AI researcher Joscha Bach” | >

A key challenge in the effort to link brain activity with behavior is that brain activity, measured by functional magnetic resonance imaging (fMRI), for instance, is extraordinarily complex. That complexity can make it difficult to find recurring activity patterns across different people or within individuals.

In a new study, Yale researchers were able to take fMRI data, reduce its complexity, and in doing so, uncover stable patterns of activity shared across more than 300 different people. The findings, researchers say, are a promising step forward in uncovering biomarkers for psychiatric disorders.

The study was published Sept. 24 in the journal PLOS Biology.

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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:

Continue reading “#115 Alexander Rosenberg: Theory of Mind, History, Mental Illusions, and Nihilism” | >

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.

Continue reading “The Hidden Math Behind All Living Systems” | >

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.

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