LG Group is rolling out a new version of its flagship artificial intelligence model, billing it as South Korea’s first hybrid-reasoning AI system.
Nanoparticles—the tiniest building blocks of our world—are constantly in motion, bouncing, shifting, and drifting in unpredictable paths shaped by invisible forces and random environmental fluctuations.
Better understanding their movements is key to developing better medicines, materials, and sensors. But observing and interpreting their motion at the atomic scale has presented scientists with major challenges.
Researchers in Georgia Tech’s School of Chemical and Biomolecular Engineering (ChBE) have developed an artificial intelligence (AI) model that learns the underlying physics governing those movements.
Beware the tech leaders making grandiose statements about artificial intelligence. They have lost sight of reality, says Philip Ball
By Philip Ball
Michael Graziano is a scientist and novelist who is currently a Professor of Psychology and Neuroscience at Princeton University. He’s a best-selling author and has written several books including “Consciousness and the Social Brain”, “Re-thinking Consciousness”, “The Spaces Between Us”, and much more. His scientific research at Graziano Lab focuses on the brain basis of awareness. He has proposed the “attention schema theory” (AST), an explanation of how, and for what adaptive advantage, brains attribute the property of awareness to themselves.
TIMESTAMPS:
0:00 — Introduction.
2:12 — Meet Dr Michael Graziano: The Consciousness Theorist.
6:44 — What Is Consciousness? A Deep Dive.
11:35 — The Illusion of Consciousness.
15:20 — Attention Schema Theory.
20:05 — Mystery of Self-Awareness and the ‘I’
25:10 — The Hard Problem vs. the Meta Problem of Consciousness.
30:55 — Social Awareness & Dehumanization.
34:20 — Effect of Social Media on Human Interaction.
38:05 — Role of Attention in Machine Consciousness.
41:55 — Creating an AI Mind: Step by Step Guide.
47:30 — Exploring the Building Blocks of Artificial Consciousness.
51:15 — AI Self-Perception: Can Machines Be Conscious?
56:10 — Challenging the Magical vs. Scientific View of Consciousness.
1:00:40 — Consciousness: A Choice Between Magic and Science?
1:05:12 — Attention in Machine Learning: A Closer Look.
1:10:55 — The Psychology of Human Perception.
1:14:20 — Social Awareness and the Digital Revolution.
1:18:35 — Conclusion.
EPISODE LINKS:
Michael’s Website: https://grazianolab.princeton.edu/
Michael’s Books: https://tinyurl.com/2eufd62r.
TED-ed \
Matthew Berman
Elon Musk is hinting at revolutionary advancements in AI-generated content, potentially disrupting the gaming industry, with teasers about upcoming Tesla demos and the integration of XAI’s capabilities ## ## Questions to inspire discussion.
Tesla’s Competitive Advantage.
🚗 Q: How does Tesla maintain its lead in autonomous driving? A: Tesla leverages its “data flywheel” built by deploying millions of vehicles to collect real-world data, making it nearly impossible for competitors to replicate.
🤖 Q: What unique combination gives Tesla an edge in AGI development? A: Tesla’s real-world data stream combined with xAI’s language model, voice, video, and image generation capabilities provide the complete recipe for AGI.
Investment Opportunities.
💼 Q: Why do institutional investors undervalue Tesla’s autonomy lead? A: Institutional investors often view Tesla as just a car company, overlooking its unassailable autonomy advantage, while xAI is seen as a pure AI company.