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Panentheism: Is God in the World? Or Does God Transcend the World? [St James Church, London]

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In this talk, Rupert Sheldrake explores panentheism—the idea that the divine is not separate from the world but present throughout it, while also transcending it. With the grip of mechanistic materialism loosening, Rupert invites us to reconsider how we see nature, mind, and spirit. Tracing a broad arc from ancient philosophies and Christian mysticism to AI-generated worldviews, panpsychism, and psychedelics, he reflects on how the sacred presence in nature—-long affirmed by spiritual traditions-—is re-emerging through science, experience, and renewed practices of attention.

This talk was recorded at St James Church, Piccadilly, a longstanding hub for open spiritual inquiry and progressive theology in the heart of London.

Table of Contents.
00:00:00 — What Is Panentheism?
00:00:37 — The Dominant Worldview: Mechanistic Materialism.
00:01:46 — The Decline of Materialism & Rise of Alternatives.
00:02:21 — AI & Worldview Generation: A Symptom of Our Time.
00:03:55 — Return to a Living World: Gaia Hypothesis & Distributed Consciousness.
00:05:01 — God: Immanent vs. Transcendent (with Cultural Examples)
00:07:27 — Historical Tour: European Intellectual History.
00:07:42 — Pre-Christian & Ancient Greek Animism (Aristotle’s Souls)
00:09:51 — Medieval Period: Christianization of Greek Thought (Aquinas)
00:11:20 — Early British/Celtic Nature Mysticism.
00:12:51 — The Protestant Reformation: De-sacralizing Nature.
00:16:00 — The Scientific Revolution & Cartesian Dualism (Nature as Machine)
00:18:05 — From Deism to Atheism.
00:20:59 — The “Hard Problem” of Consciousness for Materialism.
00:23:28 — Panpsychism: Consciousness as Fundamental (Even in Stars)
00:26:26 — Pantheism (Spinoza) and Idealism (Kastrup) as Alternatives.
00:28:55 — Revival of Mystical Sense: Meditation.
00:31:00 — Psychedelics and Experiences of Greater Consciousness.
00:33:16 — The Experiential Roots of Religion (David Bentley Hart)
00:35:23 — Models of Ultimate Reality: Hindu Perspectives.
00:37:35 — Models of Ultimate Reality: The Christian Trinity & Speech Metaphor.
00:41:15 — Nature Reflecting Trinitarian Principles.
00:43:15 — The Cosmic Christ & Universe as Incarnation (Bede Griffiths)
00:44:57 — Aquinas: Nature Striving for Divine Perfection.
00:46:50 — Reconciling Immanence & Transcendence in an Evolving, Creative Universe.
00:48:17 — Spiritual Practices for Experiencing Panentheism (Singing, Festivals, Nature Connection)
00:53:46 — End of Lecture / Start of Q&A

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#Panentheism.

Engineers develop blueprint for robot swarms, mimicking bee and ant construction

Bees, ants and termites don’t need blueprints. They may have queens, but none of these species breed architects or construction managers. Each insect worker, or drone, simply responds to cues like warmth or the presence or absence of building material. Unlike human manufacturing, the grand design emerges simply from the collective action of the drones—no central planning required.

Now, researchers at Penn Engineering have developed mathematical rules that allow virtual swarms of tiny robots to do the same. In , the robots built honeycomb-like structures without ever following—or even being able to comprehend—a plan.

“Though what we have done is just a first step, it is a new strategy that could ultimately lead to a new paradigm in manufacturing,” says Jordan Raney, Associate Professor in Mechanical Engineering and Applied Mechanics (MEAM), and the co-senior author of a new paper in Science Advances. “Even 3D printers work step by step, resulting in what we call a brittle process. One simple mistake, like a clogged nozzle, ruins the entire process.”

Unprecedented dataset of molecular simulations to train AI models released

A collaborative effort between Meta, Lawrence Berkeley National Laboratory and Los Alamos National Laboratory leverages Los Alamos’ expertise in building tools for molecular screening capabilities. The release of “Open Molecules 2025”, an unprecedented dataset of molecular simulations, can accelerate opportunities for machine learning to transform research in fields such as biology, materials science and energy technologies.

Movement in an entangled cluster of worms: How active polymer chains can self-organize into solid-like clusters

Earthworms often form a cluster, from which they can barely free themselves. A similarly active, writhing structure forms when the tentacles of lion’s mane jellyfish become entangled. Robotic grippers utilize this principle by using multiple synthetic flexible arms to grip and move objects. And such interlinked self-propelled filaments can also be found at the smaller micrometer scale, for example in a biological cell.

Brain study reveals how humans intuitively navigate different environments, offering direction for better AI

How do you intuitively know that you can walk on a footpath and swim in a lake? Researchers from the University of Amsterdam have discovered unique brain activations that reflect how we can move our bodies through an environment.

Published in Proceedings of the National Academy of Sciences, the study not only sheds new light on how the human brain works, but also shows where artificial intelligence is lagging behind. According to the researchers, AI could become more sustainable and human-friendly if it incorporated this knowledge about the human brain.

When we see a picture of an unfamiliar environment—a mountain path, a busy street, or a river—we immediately know how we could move around in it: walk, cycle, swim or not go any further. That sounds simple, but how does your brain actually determine these action opportunities?

The Ezra Klein Show

I honestly don’t know how I should be educating my kids. A.I. has raised a lot of questions for schools. Teachers have had to adapt to the most ingenious cheating technology ever devised. But for me, the deeper question is: What should schools be teaching at all? A.I. is going to make the future look very different. How do you prepare kids for a world you can’t predict?

And if we can offload more and more tasks to generative A.I., what’s left for the human mind to do?

Rebecca Winthrop is the director of the Center for Universal Education at the Brookings Institution. She is also an author, with Jenny Anderson, of “The Disengaged Teen: Helping Kids Learn Better, Feel Better, and Live Better.” We discuss how A.I. is transforming what it means to work and be educated, and how our use of A.I. could revive — or undermine — American schools.

00:00 Intro.
03:03 The future of education?
11:20 Modes of engagement.
17:27 Personalizing education.
26:25 The case for A.I. in schools.
35:09 Who gets left behind?
46:07 How A.I. can increase equity.
49:35 Becoming more human.
55:54 Willpower, literacy, and regulation.
01:01:10 Advice for parents.
01:05:20 Book recommendations.

This is the dawn of machine consciousness | Joscha Bach FULL INTERVIEW

In this in-depth interview, Joscha Bach shares his insights into AI: what it illuminates about consciousness, how it will develop, and what it means for humanity.

Is AI our only chance at achieving real understanding?

With a free trial, you can watch our full archive of Joscha Bach’s talks and debates at https://iai.tv/home/speakers/joscha-b… Introduction 00:08 What is Artificial General Intelligence, and how far away are we from creating it? 01:08 Do you consider AI humanlike now? 02:43 Why do you defend a computational perspective? 03:44 Is AI the method for the universe to understand itself? 04:26 How is AI transforming society now, and how will it transform society in the next few years? 05:20 Do you think we have the capacity to reconceive how our institutions will function in light of these changes? 06:17 How could AI help us solve the climate crisis, when our biggest problem is inaction? 08:24 Have we become less critical, as a species? 10:40 Would you agree that social media has been detrimental to our society? 12:58 How do you think AGI will be realised? 18:46 What are the differences between evolved systems and designed systems? 20:31 What did you think of the infamous open letter about AI safety? 24:24 How can we solve AI’s misalignment to human values? 25:43 Do you have hope for the future? 27:33 Do you think it’s possible to build a machine that understands? 30:32 Do you think that we are living in base reality? Join cognitive scientist and AI researcher Joscha Bach in this exclusive interview on the limits, risks, and future of AI. From the potential of Artificial General Intelligence to the alignment problem and the fundamental ways AI learns differently from humans, Bach explores whether AI might one day grasp reality on a deeper level than we can. He also examines the systemic failures of institutions in tackling the climate crisis and the COVID-19 pandemic, arguing that the internet’s potential for collective intelligence remains largely untapped. Might AI help us overcome these challenges, or does it merely reflect our own limitations? Interviewed by Darcy Bounsall. #ai #agi #artificialintelligence #artificialgeneralintelligence #consciousness #computerscience Joscha Bach is a cognitive scientist, AI researcher, and philosopher whose research aims to bridge cognitive science and AI by studying how human intelligence and consciousness can be modelled computationally. The Institute of Art and Ideas features videos and articles from cutting edge thinkers discussing the ideas that are shaping the world, from metaphysics to string theory, technology to democracy, aesthetics to genetics. Subscribe today! https://iai.tv/subscribe?utm_source=Y… For debates and talks: https://iai.tv For articles: https://iai.tv/articles For courses: https://iai.tv/iai-academy/courses.

00:00 Introduction.
00:08 What is Artificial General Intelligence, and how far away are we from creating it?
01:08 Do you consider AI humanlike now?
02:43 Why do you defend a computational perspective?
03:44 Is AI the method for the universe to understand itself?
04:26 How is AI transforming society now, and how will it transform society in the next few years?
05:20 Do you think we have the capacity to reconceive how our institutions will function in light of these changes?
06:17 How could AI help us solve the climate crisis, when our biggest problem is inaction?
08:24 Have we become less critical, as a species?
10:40 Would you agree that social media has been detrimental to our society?
12:58 How do you think AGI will be realised?
18:46 What are the differences between evolved systems and designed systems?
20:31 What did you think of the infamous open letter about AI safety?
24:24 How can we solve AI’s misalignment to human values?
25:43 Do you have hope for the future?
27:33 Do you think it’s possible to build a machine that understands?
30:32 Do you think that we are living in base reality?

Join cognitive scientist and AI researcher Joscha Bach in this exclusive interview on the limits, risks, and future of AI. From the potential of Artificial General Intelligence to the alignment problem and the fundamental ways AI learns differently from humans, Bach explores whether AI might one day grasp reality on a deeper level than we can. He also examines the systemic failures of institutions in tackling the climate crisis and the COVID-19 pandemic, arguing that the internet’s potential for collective intelligence remains largely untapped. Might AI help us overcome these challenges, or does it merely reflect our own limitations?

Interviewed by Darcy Bounsall.

PwC cuts 1,500 jobs overnight— Proof that automation, not recession, is driving the layoffs

PricewaterhouseCoopers (PwC) told 1,500 U.S. employees on Monday that their roles were eliminated with immediate effect—about 2 percent of its national headcount. In the company-wide e-mail obtained by industry blog Going Concern, leadership cited “historically low attrition” and a need to “align the firm for the future.” Publicly, a spokesperson framed the move as a […]