u/Visible_Iron_5612

https://youtu.be/bujwU3pKc6c?si=YBuPrsDqUMTAMGGf

This video features a discussion between Michael Levin, Amahury Jafet Lopez Diaz, Carlos Gershenson-García, and Richard Watson regarding the intersection of biology, philosophy, and information theory. The participants explore the nature of reality and whether living systems require a separate ontological realm to explain cognition and morphology beyond standard physical accounts.
Key themes discussed so far (0:00 - 1:04:13):
• Points of Agreement (0:30 - 3:13): The participants share four key views:
The gene-plus-environment model is insufficient to explain cognition and morphology.
Interfaces between systems and environments are critical for research.
A rejection of simplistic, “billiard-ball” models of causation.
The need for a framework that is both experimentally fruitful and philosophically robust.
• The Ontological Debate (1:41 - 18:00): A significant portion of the discussion focuses on whether the “latent” or “platonic” space mentioned in Michael Levin’s work implies a separate ontological realm or can be understood within a monistic (single-world) perspective. Amahury Jafet Lopez Diaz argues for a monistic ontology with multiple causal modes, citing Howard Pattee and Robert Rosen (50:11 - 52:35).
• Engineering and Experimental Fruitfulness (7:06 - 32:00): Michael Levin emphasizes that for an engineer, the goal is to develop a research program that accounts for phenomena, such as behavioral patterns or “policies,” that are not captured by traditional methods. He argues that even if the underlying ontology is debated, taking these “extra” descriptive layers seriously guides new, productive experimental paths (31:57 - 32:42).
• Methodological Perspectives (36:00 - 49:21): The participants discuss the role of metaphors and narratives in science (30:30, 35:50). Amahury Jafet Lopez Diaz suggests that what is often framed as a separate ontological realm might be better understood as different descriptive modes (symbolic vs. material) or organizational constraints (46:50 - 52:38).
• Future Directions (1:02:14 - 1:04:13): The conversation concludes with a shared interest in collaborating to formalize these ideas. Amahury Jafet Lopez Diaz suggests that the framework of “closure of constraints” can account for the experimental findings Michael Levin describes without requiring an ontological dualism.

https://youtu.be/0BS-BzEFTXA?si=wbXUECDs2pwEt67S

In this talk, neuroscientist Earl Miller from MIT explores how cognition and consciousness emerge from neural dynamics, specifically challenging the traditional 20th-century model of the brain as a rigid, connectionist telegraph system.

Key Themes & Concepts:

• Beyond Connectionism (0:00 - 6:35): Miller explains that while the 20th-century view focused on specialized neurons as simple information processors, modern research reveals multifunctional, mixed-selectivity neurons. These neurons change their activity based on context, embodying cognitive flexibility.

• The Role of Electric Fields (12:43 - 22:36): Miller argues that brain waves—rhythmic fluctuations in electric fields—are not just “epiphenomena” or engine noise, but are essential for coordinating neural activity. His research on anesthesia shows that it doesn’t shut the cortex down but instead fragments these wave dynamics, disrupting communication.

• Control via Stencils (23:06 - 30:00): A core model proposed is that the brain uses gamma waves to feed sensory information forward and alpha/beta waves as “stencils” to inhibit specific regions. This allows the brain to exert top-down executive control efficiently without needing to rewire the entire system.

• Wave-Based Analog Computation (32:41 - 42:40): Miller posits that the brain uses traveling, rotating waves across the cortex to perform analog computations. This is significantly more energy-efficient and faster than digital, sequential logic, allowing the brain to recover from distractions and maintain complex, goal-directed behaviors using only about 20 watts of power.

Conclusion:

Miller concludes that while connectionism is useful for long-term memory storage, high-level cognition emerges from these organized, field-based wave dynamics. He suggests that when these patterns become sufficiently organized, they bind the cortex into a unified state, which we experience as consciousness (44:31).

https://youtu.be/w24Bo2yTNxE?si=M0C_oTenbk3BdIep

This is a ~56 minute talk titled "Robot Scientists, Active Learning, and the Problem of Biological Individuality" by Kameron Bielawski (https://github.com/kam...) from Josh Bongard's lab (https://jbongard.githu...) given at our Center (https://allencenter.tu....

This talk by Kameron Bielawski (from Josh Bongard's lab) explores the intersection of robot scientists, active learning, and biological individuality. Bielawski discusses the challenge of treating diverse patients who may respond differently to the same clinical intervention—a problem he frames through the lens of hierarchy and self-organization in biology (0:00 - 4:20).

Key sections of the talk include:

• Computational Modeling (4:20 - 17:25):
Bielawski presents his work on Neural Cellular Automata (NCA), which he extended to be hierarchical. He uses these models to study how evolutionary algorithms can discover interventions to move systems between different attractor basins (phenotypes), emphasizing the importance of individualized, rather than one-size-fits-all, strategies.

• The Mombot Project (18:49 - 30:00):
Transitioning to real-world applications, he describes Mombot, an automated laboratory system that allows for physical interventions (chemicals, temperature, electric fields, and vibration) on Xenopus-derived biological systems.

• Active Learning for Intervention (23:11 - 31:43):
Bielawski details an active learning approach where an AI agent decides on the most informative interventions to perform. By focusing on regions of the search space with high outcome uncertainty, the system can efficiently map the dose-response relationship of a xenobot's behavior.

• Future Vision (38:01 - 56:40):
He envisions a future where personalized medicine integrates multi-scale diagnostic information into individualized forward models. This would allow doctors to iterate on potential interventions to find the most effective approach for a patient's specific biology.

The talk concludes with a discussion among colleagues regarding the difficulty of identifying which data types (e.g., physiological imaging vs. molecular data) are most informative, the potential for identifying "boundaries of self" in biological systems, and the role of causal inference in building internally consistent models.

https://youtu.be/llvP9wUsx-w?si=NDFnWMKnjwyaAIlv

This video features Mike Levin discussing his groundbreaking research into bioelectric medicine and a new perspective on understanding cancer.

Key takeaways from the discussion:

• Cancer as a "Dissociative Identity Disorder": Levin explains that cancer can be viewed as a breakdown in the collective intelligence of cells (2:26-2:56). When cells are disconnected from the body's "giant memory" and electrical signaling, they lose their goal-oriented behavior of building organs and revert to a primitive, individualistic state, behaving like amoebas (2:58-3:13).
• Normalization through Bioelectricity: Rather than focusing on killing cancer cells (chemotherapy) or fixing genetic mutations, Levin’s research focuses on reconnecting cells electrically to their neighbors (3:29-3:46). By restoring these bioelectric signals, researchers can "convince" cancer cells to rejoin the collective and resume normal, healthy tissue development (3:49-3:54).
• Promising Research: Levin highlights that this approach has already successfully normalized cancer phenotypes in frogs without altering the underlying genetic hardware (3:56-5:17). The team is currently expanding this work to include human cancer spheroids and other mammalian models (5:30-5:51).
• The Power of Communication: The research suggests that the body is governed by complex, compelling bioelectric messages (6:12-7:04). Levin compares this to collective intelligence in nature, noting that even small signals can sometimes convince a group of cells to shift their behavior—such as when cells are nudged to form an eye on a tadpole's tail (7:06-8:56).

Levin concludes by emphasizing that while this is an early and complex field, it opens a new frontier for safer, software-like interventions in biology that address the underlying cognitive processes governing cell behavior.

https://youtu.be/rA5cqYL_zrk?si=OQsyeCW_DaWb_7Ck

This video features an engaging conversation between host Matt Gray and philosopher Dr. Peter Sjöstedt-Hughes, who specializes in the philosophy of mind and metaphysics. They explore a wide range of deep topics, bridging historical philosophy with contemporary scientific inquiries and personal experiences.

Key Discussion Points:

• The Mind at Large Conference: The conversation begins with a reflection on this event (0:04:42), which brought together thinkers like Susan Blackmore and Matthew Segall to discuss non-brain-based theories of consciousness, inspired by Aldous Huxley.
• Philosophy of Psychedelics: The duo discusses various interpretations of psychedelic experiences (0:08:41), ranging from physicalist views (brain-based hallucinations) to idealism and panpsychism. They highlight how these experiences can challenge one's sense of self and traditional worldviews (0:24:17).
• Metaphysics and Science: They explore the resurgence of interest in teleology in biology (0:28:26) and the potential for a shift in scientific paradigms. They touch on the work of Michael Levin regarding morphogenetic fields and the intelligence of biological systems (0:27:36).
• The Nature of the Self and Reality: The conversation dives into the "dark" and complex question of what the self actually is (0:38:34), referencing thinkers like F.H. Bradley, Alfred North Whitehead, and Henri Bergson. They discuss how our perception of self might be more fluid or porous than typically assumed.
• Indigenous Knowledge and Animism: They examine how indigenous worldviews, such as those of the Shipibo people, often align with forms of idealism or panpsychism (1:01:07), treating the "soul" of entities as entire worlds.
• The Role of Philosophy: Throughout the interview, Dr. Sjöstedt-Hughes emphasizes the importance of understanding the history of philosophy to avoid "reinventing the wheel" with "new" theories that are actually centuries or millennia old (0:32:13).

https://youtu.be/_V9XFNvw3a4?si=YQYWAI_indqn-EWu

This final lecture covers the development of self-replicating biological robots, known as Xenobots (1:04-3:21). Building on previous work involving frog heart and skin cells, the research explores how biological materials can be reconfigured into autonomous machines and their potential for future medical and environmental applications.

Key themes include:

• Design and Control (1:04-9:30): The process uses HyperNEAT to evolve robotic designs, which are then constructed by microsurgeons. These bots demonstrate emergent behaviors like collective material pushing, mimicking the function of Roomba vacuum cleaners (6:24-7:23).
• Mechanical vs. Cognitive Hypotheses (7:39-16:00): A central debate is whether these bots possess coordinated "sense-think-act" cycles or if their behavior is simply the result of 3D geometry and the physics of cell movement. The speaker discusses Occam's razor regarding these competing explanations.
• Resilience and Competency (17:41-19:29): Unlike traditional mechanical robots, Xenobots display natural wound healing capabilities, showing how biological cells retain competencies from their evolutionary history.
• Kinematic Self-Replication (47:20-1:03:38): The researchers discovered a new form of self-replication where parent bots (specifically in "Pac-Man" or donut shapes) push dissociated skin cells into piles that grow cilia and eventually become motile offspring. This process is dubbed "kinematic self-replication" (1:02:41).
• Future Applications (20:44-29:45): The team explores "intelligent drug delivery," potentially using Anthrobots—similar constructs made from human cells—to navigate the human body and avoid immune rejection.

Scientific Context:
The lecture positions this work within the emerging field of synthetic biology (29:55-42:06), emphasizing that these "computer-designed organisms" (CDOs) are not necessarily genetically modified, but rather reconfigured wild-type frog cells.

This Zhang “spatial ecotype” paper that just made CNN/Jake Tapper is fascinating.

The bigger shift isn’t just AI itself — it’s the idea that tumors may behave more like adaptive ecosystems with recurring spatial organizational states rather than random collections of malignant cells.

AI/spatial biology models are increasingly looking at:
– cellular neighborhoods
– immune localization
– stromal architecture
– signaling environments
– and multicellular organization across tissue.

Feels like oncology is moving away from isolated pathway thinking and toward systems-level organizational biology.

That may also explain why areas involving immune trafficking and chemokine signaling (including pathways like CCR5) are attracting growing attention in tumor microenvironment research.

https://www.cnn.com/2026/05/06/science/video/ai-cancer-medical-breakthrough-science-lead-jake-tapper?cid=ios_app

Michael Pollan shouting out the work of Michael Levin :)

https://youtu.be/1tEcb36cX8g?si=jHhwUzL578OSoD88

This video features author Michael Pollan discussing recent scientific research on plant intelligence, sentience, and consciousness with host Alok Jha. The discussion challenges traditional views that plants are merely passive biological organisms.

Key themes discussed:

• Sensory capabilities: Plants exhibit remarkable awareness of their environment, including the ability to "see" light and mimic leaf forms, "hear" threats like hungry caterpillars, and potentially use forms of echolocation to locate support for climbing (0:38-2:03).
• Anesthesia and awareness: Experiments have shown that plants can be rendered unresponsive by the same anesthetics used on humans, leading researchers to consider whether they possess a form of sentience—a capacity for subjective experience—even if they lack the self-consciousness associated with human interiority (2:03-3:47).
• Learning and memory: Research on the Mimosa pudica (sensitive plant) indicates that plants can learn from experience and store information for up to 28 days (4:22-5:02).
• Bioelectric fields: Without a central brain or nervous system, plants process information using bioelectric fields. Drawing on the work of biologist Michael Levin, the video suggests that cells themselves can perform computation and store memories, a process that is simply slower than human neurological activity (5:02-7:26).
• Pain and Ethics: The conversation concludes by addressing whether plants feel pain. Experts suggest that while plants may be aware of being eaten, the sensation of pain would not be evolutionarily adaptive for stationary organisms. Consequently, eating plants does not present the same moral conflicts as consuming sentient animals (7:26-9:13).

https://youtu.be/K4JhImykpME?si=ovQdi4Uo7gXvFJGE

This video explores carcinization, an evolutionary phenomenon where unrelated crustaceans independently evolve into a crab-like body plan (0:00–0:34). While biology is often viewed as a random or purely contingent process, the repeated emergence of the crab form suggests that the universe has “preferences” written into the laws of physics and nature.

Key Concepts:
• Carcinization: The process where animals like hermit crabs, porcelain crabs, hairy stone crabs, sponge crabs, and true crabs have all independently arrived at the same body plan, a wide, flat carapace, a tucked abdomen, and lateral locomotion (0:49–1:27, 6:03–6:47).

• Decarcinization: The inverse process, where organisms that once evolved into the crab form eventually abandoned it, demonstrating that the crab shape is not a permanent endpoint but a flexible “attractor” in evolutionary space (1:29–1:49, 23:47–24:48).

• Evolutionary Attractors: The video argues that evolution isn’t navigating an infinite landscape; instead, physical constraints (such as fluid dynamics, environmental pressures, and developmental biology) funnel life toward specific, stable configurations. The crab body is one such attractor (48:40–49:59).

Scientific Context:
• The Fossil Record: Notable discoveries like Cretapsara athanata (an intact crab preserved in amber) show that these body plans were already established over 100 million years ago, much earlier than previously thought (30:46–33:13).

• Convergent Evolution: The phenomenon is compared to other examples of convergence, such as the camera eye in humans and octopuses or the streamlined shape of sharks and dolphins, all of which solve the same physical problems with the same mechanical solutions (5:52–6:03, 38:58–44:22).

Philosophical Takeaway:
• The crab is presented not just as an animal, but as evidence of the structure of biological possibility. The fact that nature keeps arriving at the same solution suggests that life is exploring a landscape with fixed topography, making certain evolutionary outcomes predictable rather than purely accidental (56:06–1:02:08).