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Category: robotics/AI – Page 93

Joscha Bach is a cognitive scientist focusing on cognitive architectures, consciousness, models of mental representation, emotion, motivation and sociality.

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iTunes: https://podcasts.apple.com/ca/podcast… https://pdora.co/33b9lfP Spotify: https://open.spotify.com/show/4gL14b9… Subreddit r/TheoriesOfEverything: / theoriesofeverything Merch: https://tinyurl.com/TOEmerch 0:00:00 Introduction 0:00:17 Bach’s work ethic / daily routine 0:01:35 What is your definition of truth? 0:04:41 Nature’s substratum is a “quantum graph”? 0:06:25 Mathematics as the descriptor of all language 0:13:52 Why is constructivist mathematics “real”? What’s the definition of “real”? 0:17:06 What does it mean to “exist”? Does “pi” exist? 0:20:14 The mystery of something vs. nothing. Existence is the default. 0:21:11 Bach’s model vs. the multiverse 0:26:51 Is the universe deterministic 0:28:23 What determines the initial conditions, as well as the rules? 0:30:55 What is time? Is time fundamental? 0:34:21 What’s the optimal algorithm for finding truth? 0:40:40 Are the fundamental laws of physics ultimately “simple”? 0:50:17 The relationship between art and the artist’s cost function 0:54:02 Ideas are stories, being directed by intuitions 0:58:00 Society has a minimal role in training your intuitions 0:59:24 Why does art benefit from a repressive government? 1:04:01 A market case for civil rights 1:06:40 Fascism vs communism 1:10:50 Bach’s “control / attention / reflective recall” model 1:13:32 What’s more fundamental… Consciousness or attention? 1:16:02 The Chinese Room Experiment 1:25:22 Is understanding predicated on consciousness? 1:26:22 Integrated Information Theory of consciousness (IIT) 1:30:15 Donald Hoffman’s theory of consciousness 1:32:40 Douglas Hofstadter’s “strange loop” theory of consciousness 1:34:10 Holonomic Brain theory of consciousness 1:34:42 Daniel Dennett’s theory of consciousness 1:36:57 Sensorimotor theory of consciousness (embodied cognition) 1:44:39 What is intelligence? 1:45:08 Intelligence vs. consciousness 1:46:36 Where does Free Will come into play, in Bach’s model? 1:48:46 The opposite of free will can lead to, or feel like, addiction 1:51:48 Changing your identity to effectively live forever 1:59:13 Depersonalization disorder as a result of conceiving of your “self” as illusory 2:02:25 Dealing with a fear of loss of control 2:05:00 What about heart and conscience? 2:07:28 How to test / falsify Bach’s model of consciousness 2:13:46 How has Bach’s model changed in the past few years? 2:14:41 Why Bach doesn’t practice Lucid Dreaming anymore 2:15:33 Dreams and GAN’s (a machine learning framework) 2:18:08 If dreams are for helping us learn, why don’t we consciously remember our dreams 2:19:58 Are dreams “real”? Is all of reality a dream? 2:20:39 How do you practically change your experience to be most positive / helpful? 2:23:56 What’s more important than survival? What’s worth dying for? 2:28:27 Bach’s identity 2:29:44 Is there anything objectively wrong with hating humanity? 2:30:31 Practical Platonism 2:33:00 What “God” is 2:36:24 Gods are as real as you, Bach claims 2:37:44 What “prayer” is, and why it works 2:41:06 Our society has lost its future and thus our culture 2:43:24 What does Bach disagree with Jordan Peterson about? 2:47:16 The millennials are the first generation that’s authoritarian since WW2 2:48:31 Bach’s views on the “social justice” movement 2:51:29 Universal Basic Income as an answer to social inequality, or General Artificial Intelligence? 2:57:39 Nested hierarchy of “I“s (the conflicts within ourselves) 2:59:22 In the USA, innovation is “cheating” (for the most part) 3:02:27 Activists are usually operating on false information 3:03:04 Bach’s Marxist roots and lessons to his former self 3:08:45 BONUS BIT: On societies problems.
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Subreddit r/TheoriesOfEverything: / theoriesofeverything.
Merch: https://tinyurl.com/TOEmerch.

0:00:00 Introduction.
0:00:17 Bach’s work ethic / daily routine.
0:01:35 What is your definition of truth?
0:04:41 Nature’s substratum is a \.

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What is intelligence? We can all agree that humans are intelligent and many of us would likely extend that definition to the most mentally adept creatures of the animal kingdom—from dolphins to corvids. Scientists may extend that definition to all living animals, and some might even include plants. But for Michael Levin, Ph.D., all of those definitions woefully undercount the intelligences, or as he phrases them, “alien minds,” that surround us.

As a synthetic and developmental biologist at Tufts University in Massachusetts, Levin has explored the cognitive glue of bioelectricity, created biobots from animal and human cells, searched for empirical evidence defining the scope of cognition, and challenged many of the long-held tenets of molecular biology. Fascinated by electrical engineering and biology since he was seven years old, Levin says all of these efforts are in service of developing a mature field of diverse intelligence—one that can recognize that cognition lies on a spectrum, and that what humans perceive as consciousness could look radically different when compared to a cell or emerging artificial intelligence.

We spoke with Levin about how he developed these remarkable ideas, why he believes many alien minds live among us, and what he hopes for humanity’s future.

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Each one gives scientists a powerful tool to study how dark matter is spread out across the Universe and how galaxies are shaped by it.

“We are combining the strengths of Euclid, AI, citizen science, and experts into a single discovery engine,” said Pierre Ferruit, ESA’s Euclid mission manager.

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Artificial intelligence (AI) systems promise transformative advancements, yet their growth has been limited by energy inefficiencies and bottlenecks in data transfer. Researchers at Columbia Engineering have unveiled a groundbreaking solution: a 3D photonic-electronic platform that achieves unprecedented energy efficiency and bandwidth density, paving the way for next-generation AI hardware.

The study, “3D Photonics for Ultra-Low Energy, High Bandwidth-Density Chip Data Links,” led by Keren Bergman, Charles Batchelor Professor of Electrical Engineering, is published in Nature Photonics.

The research details a pioneering method that integrates photonics with advanced complementary-metal-oxide-semiconductor (CMOS) electronics to redefine energy-efficient, high-bandwidth data communication. This innovation addresses critical challenges in data movement, a persistent obstacle to realizing faster and more efficient AI technologies.

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I normally don’t post videos, but I think many may want to watch this it’s pretty cool. A guy talks about or rather reviews 7 Free AI tools that you can try out now. Some you get credits, and then subscribe later. They are pretty cool. The one that makes music from a description is hilarious.

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Full Repository: https://bit.ly/4bw2uyI

Continue reading “

I normally don’t post videos, but I think many may want to watch this it’s pretty cool. A guy talks about or rather reviews 7 Free AI tools that you can try out now. Some you get credits, and then subscribe later. They are pretty cool. The one that makes music from a description is hilarious.

🎖️ Hostinger: https://hostinger.com/wearenocode.
❇️ FREE COURSE: https://bit.ly/4aBjbaU
🚀 1-on-1 COACHING: https://www.wearenocode.com/mvp-accelerator.

🛠 TOOLS:

Outbond: https://www.outbond.io/
Google AI Studio: https://aistudio.google.com/live.
Gamma: https://gamma.app/signup?r=mgp7dnjaverd8n2
Hostinger: https://hostinger.com/wearenocode.
Suno: https://suno.com/
Leonardo AI: https://leonardo.ai/
Eleven Labs: https://try.elevenlabs.io/mixajdyhxnx3
Runway AI: https://runwayml.com/

Full Repository: https://bit.ly/4bw2uyI

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‚00 AI Tools That Can Make You Money” | >

The University of Cincinnati is leading public urban universities into a new era of innovation and impact. Our faculty, staff and students are saving lives, changing outcomes and bending the future in our city’s direction. Next Lives Here.

Study coauthors include UC’s Sreekar Puchala and Anca Ralescu and Ethan Muchnik of the University of Oregon. The study authors declare no competing interests.

This work was supported by the Office of the Assistant Secretary of Defense for Health Affairs, through the Defense Medical Research and Development Program under Award No. W81XWH-16–2–0020. Opinions, interpretations, conclusions and recommendations are those of the author and are not necessarily endorsed by the Department of Defense.

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