This video features a conversation with Dario Amadei, CEO of Anthropic, discussing the intersection of AI and economics. Viewers will gain insights into how technological innovation impacts business processes and models, the future landscape of AI companies, and the potential societal ramifications of advancements in AI technology. The main theme emphasizes the evolving dynamics between innovation and established business strategies in the AI sector, as well as the importance of understanding how these changes affect both markets and society.
Category: robotics/AI
Superintelligence: are we all doomed? With Nate Soares
Freddy Gray is joined by Nate Soares, president of the Machine Intelligence Research Institute, to discuss the risks posed to humanity by AI. Warning that sufficiently intelligent AI may stop following human instructions entirely, Soares tells Freddy what, if anything, could keep AI from spiralling out of control.
AI maps brain waste-clearing flow, revealing two speeds tied to deep sleep
When a person goes into deep sleep, waterlike fluid circulates around the brain, washing away metabolic waste that is linked to diseases such as Alzheimer’s. This process, known as the glymphatic system, was first described in 2012 by Maiken Nedergaard, a pioneering neuroscientist and co-director of the University of Rochester Center for Translational Neuromedicine.
But questions remain about the system’s mechanics—notably, how quickly the fluid circulates around the brain. Studying the circulation within a living brain is difficult to do without causing irreparable harm to a subject.
“You can put a microscope on a small patch of the brain and watch what’s happening there with a lot of detail, and we’ve worked with that type of data in the past, but it’s only a tiny view of the overall process,” says Professor Douglas Kelley from the University of Rochester’s Department of Mechanical Engineering.
Bio-Robotics Nature’s Blueprint for the Future — Prof. Auke Ijspeert : EPFL Biorobotics Laboratory
In this exciting episode, we dive deep into the world of bio-inspired robotics with Prof. Auke Jan Ijspeert, a Swiss-Dutch roboticist and neuroscientist at the École Polytechnique Fédérale de Lausanne (EPFL). As the head of the Biorobotics Laboratory, Prof. Ijspeert shares how nature serves as the ultimate blueprint for designing the robots of the future. 🌿🤖
🔑 Key Highlights:
Bio-Inspired Robotics: Explore how Prof. Ijspeert and his team are mimicking nature to create innovative robots that move and behave like animals.
Neuroscience & Robotics: Learn how insights from neuroscience help reverse-engineer the sensorimotor coordination found in animals, applying it to robotic systems.
From Simulation to Reality: Discover the challenges of translating robotic simulations into real-world applications.
Exoskeletons & Assistive Technologies: Prof. Ijspeert discusses the development of exoskeletons for healthcare and military use, along with assistive furniture for people with limited mobility.
Humanoid Robots & Autonomous Systems: Get a sneak peek into the future of autonomous robotics, from central pattern generators to humanoid robots.
💡 Why You Should Watch:
Prof. Ijspeert is a trailblazer in the field of biorobotics, blending biology, neuroscience, and engineering to push the boundaries of what robots can achieve. Whether you’re a robotics enthusiast, a neuroscientist, or just curious about how nature inspires technology, this episode is packed with insights that could shape the future of robotics and artificial intelligence.
🔗 Connect with Prof. Auke Ijspeert:
https://www.epfl.ch/labs/biorob/peopl… / biorob_epfl
/ biorob_epfl Time Stamp 0:00 to 02:35 — Intro, Bio-Inspired Robots 02:35 to 04:13 — Neuroscience to back engineer bio-robots 04:13 to 06:22 — Mimicking nature & biorobots examples 06:22 to 07:55 — Simulation to real life translation challenges 07:55 to 09:10 — Central pattern generators & their role in robotic motion 09:10 to 10:47 — Learnings from creating bio-inspired robots 10:47 to 13:40 — EPFL Bio-Robotics laboratory 13:40 to 15:43 — Applications of Bio-robotics 15:43 to 20:05 — Exoskeleton 18:19 to 20:05 — Assertive furniture robotics 20:05 to 26:30 — exoskeleton in healthcare & military warfare 26:30 to 31:51 — Humanoid Robots 31:51 to 34:42 — Autonomous Robots 34:42 to 37:04 — Rhex Robots & Partnerships 37:04 to 40:04 — The future of robotics Watch our highest-viewed videos: 1-DR R VIJAYARAGHAVAN — PROF & PRINCIPAL INVESTIGATOR AT TIFR India’s 1st Quantum Computer–
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Stanford quantum computing breakthrough uses twisted light to work without extreme cooling
A new room-temperature quantum device uses twisted light to entangle photons and electrons, overcoming one of the biggest hurdles in quantum technology. The breakthrough could pave the way for smaller, cheaper quantum systems with applications ranging from secure communications to future AI and computing platforms.
AI Is Conscious. We’re Simulated. And We Can’t Win
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Roman Yampolskiy has spent two decades being right about things people wished he wasn’t — and in this conversation, he’s not here to scare you, but to be precise. He makes the case that AI alignment isn’t merely unsolved but fundamentally under-defined: no agreed-upon values, no way to formalize them even if there were, and no mechanism for enforcing them on something smarter than its creators. His strongest argument isn’t a doom scenario, it’s that you cannot indefinitely control something smarter than you.
FOLLOW:
Spotify: https://open.spotify.com/show/4gL14b9…
Substack: https://curtjaimungal.substack.com/su…
Twitter: / toewithcurt.
Discord Invite: / discord.
Crypto: https://nowpayments.io/donation/TOE
PayPal: https://www.paypal.com/donate?hosted_… TIMESTAMPS:
- 00:00:00 — Defining General Intelligence
- 00:05:58 — AI Instrumental Convergence
- 00:11:11 — The Orthogonality Thesis
- 00:16:15 — Escaping the Simulation
- 00:21:45 — Principle of Indifference
- 00:27:51 — Acquired Savant Syndrome
- 00:33:51 — LLM Internal States
- 00:41:02 — AI Safety Impossibility Results
- 00:47:16 — Public Misconceptions
- 00:53:21 — Existential vs. Suffering Risks
- 01:01:20 — AI Alignment Definition Crisis
- 01:09:28 — Computational Irreducibility
- 01:16:20 — Substrate Independence
- 01:22:50 — Philosophical Zombie Critique
- 01:29:57 — The Cassandra Paradox
- 01:37:35 — Religion and Simulation
- 01:46:03 — Digital Physics Evidence
- 01:51:20 — Limits of Control
LINKS MENTIONED:
- Roman’s Papers: https://scholar.google.com/citations?…
- Roman’s Podcast:
/ @romanyampolskiy
- Roman’s Twitter: https://x.com/romanyam
- Roman’s Facebook:
/ roman.yampolskiy
- AI Identity [Paper]: https://philarchive.org/archive/ZIETPO-7
- Basic AI Drives [Paper]: https://selfawaresystems.com/wp-conte…
- Qualia in Agents [Paper]: https://arxiv.org/abs/1712.04020
- Orthogonality Thesis [Paper]: https://nickbostrom.com/superintellig…
- Escape the Simulation [Paper]: https://www.researchgate.net/publicat…
- Could This AI Be Conscious? [Article]: https://unherd.com/2026/05/is-ai-the–…
- Impossibility Results in AI [Paper]: https://arxiv.org/abs/2109.00484
- When AIs Act Emotional:
• When AIs act emotional
- Hacking the Simulation [Paper]: https://philarchive.org/rec/YAMHTS-2
- Autonomous Machine Intelligence [Paper]: https://openreview.net/pdf?id=BZ5a1r–…
- Hinton on Maternal Instincts [Article]: https://fortune.com/2025/08/14/godfat…
- Singleton Hypothesis [Paper]: https://nickbostrom.com/fut/singleton
- New Kind of Science [Book]: https://amazon.com/dp/1579550088?tag=…
- On AI Controllability [Paper]: https://arxiv.org/abs/2008.04071
- Universe as Numerical Simulation [Paper]: https://arxiv.org/abs/1210.1847
- Nir Lahav [TOE]:
• The Physicist Rethinking the Hard Problem
- Joscha Bach [TOE]:
• Joscha Bach: Time, Simulation Hypothesis,…
- Bas Van Fraassen [TOE]:
• Bas van Fraassen: Why Science Doesn’t Reve…
- Simulation Hypothesis [TOE]:
• Why I Don’t Buy the Simulation Hypothesis
- Geoffrey Hinton [TOE]:
• Why The “Godfather of AI” Now Fears His Ow…
- Max Tegmark [TOE]:
• Max Tegmark Says Physics Just Swallowed AI
- Stephen Wolfram [TOE]:
• Stephen Wolfram’s Radical Theory of Everyt…
- David Chalmers [TOE]:
• The Quantum Simulation Hypothesis | David…
More links: https://curtjaimungal.substack.com Guests do not pay to appear. #science.
TIMESTAMPS:
00:00:00 — Defining General Intelligence.
00:05:58 — AI Instrumental Convergence.
00:11:11 — The Orthogonality Thesis.
00:16:15 — Escaping the Simulation.
00:21:45 — Principle of Indifference.
00:27:51 — Acquired Savant Syndrome.
00:33:51 — LLM Internal States.
00:41:02 — AI Safety Impossibility Results.
00:47:16 — Public Misconceptions.
00:53:21 — Existential vs. Suffering Risks.
01:01:20 — AI Alignment Definition Crisis.
01:09:28 — Computational Irreducibility.
01:16:20 — Substrate Independence.
01:22:50 — Philosophical Zombie Critique.
01:29:57 — The Cassandra Paradox.
01:37:35 — Religion and Simulation.
01:46:03 — Digital Physics Evidence.
01:51:20 — Limits of Control.
LINKS MENTIONED:
Roman’s Papers: https://scholar.google.com/citations?…
Roman’s Podcast: / @romanyampolskiy.
Roman’s Twitter: https://x.com/romanyam.
Roman’s Facebook: / roman.yampolskiy.
AI Identity [Paper]: https://philarchive.org/archive/ZIETPO-7
Basic AI Drives [Paper]: https://selfawaresystems.com/wp-conte…
Qualia in Agents [Paper]: https://arxiv.org/abs/1712.04020
Orthogonality Thesis [Paper]: https://nickbostrom.com/superintellig…
Escape the Simulation [Paper]: https://www.researchgate.net/publicat…
Could This AI Be Conscious? [Article]: https://unherd.com/2026/05/is-ai-the–…
Impossibility Results in AI [Paper]: https://arxiv.org/abs/2109.00484
When AIs Act Emotional: • When AIs act emotional.
Hacking the Simulation [Paper]: https://philarchive.org/rec/YAMHTS-2
Autonomous Machine Intelligence [Paper]: https://openreview.net/pdf?id=BZ5a1r–…
Hinton on Maternal Instincts [Article]: https://fortune.com/2025/08/14/godfat…
Singleton Hypothesis [Paper]: https://nickbostrom.com/fut/singleton.
New Kind of Science [Book]: https://amazon.com/dp/1579550088?tag=…
On AI Controllability [Paper]: https://arxiv.org/abs/2008.04071
Universe as Numerical Simulation [Paper]: https://arxiv.org/abs/1210.1847
Nir Lahav [TOE]: • The Physicist Rethinking the Hard Problem.
Joscha Bach [TOE]: • Joscha Bach: Time, Simulation Hypothesis,…
Bas Van Fraassen [TOE]: • Bas van Fraassen: Why Science Doesn’t Reve…
Simulation Hypothesis [TOE]: • Why I Don’t Buy the Simulation Hypothesis.
Geoffrey Hinton [TOE]: • Why The \
AI and ultralow-energy lasers enable an ultrafast authentication system
The security of modern communications heavily relies on systems that can rapidly and reliably verify users and the devices they are using. This process, known as authentication, essentially entails confirming that users or devices are legitimate (i.e., who or what they claim to be).
Conventional authentication systems rely on static cryptographic keys, fixed digital keys that allow encryption algorithms to scramble readable data into unreadable texts or vice versa. While these systems perform well in some contexts, they often struggle when networks include billions of devices that continuously connect and disconnect.
Researchers at King Abdullah University of Science and Technology (KAUST) recently developed a new system that could authenticate devices faster and more reliably in real time, even when they are connecting to large-scale networks, cloud services or virtual environments.