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Category: robotics/AI – Page 19

We’re Not Ready for Self-Building AI, But it’s Happening

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Artificial Intelligence is beginning to improve itself. In today’s video I have a summary of recent events. Are we ready for the intelligence explosion? I think not.

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#science #sciencenews #AI #technology

China Just Beat Elon Musk With A Chip Inside The Human Brain

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A major new development in brain-computer technology is raising eyebrows across the tech world. While Elon Musk’s Neuralink has dominated headlines for years, a breakthrough emerging from China is now sparking fresh debate about who is really leading the race to connect the human brain with advanced computing systems.

In this video, we take a closer look at the latest brain-chip innovation, what makes it different from existing neural interface projects, and why experts are paying close attention. As competition intensifies between global technology powers, advances in neural implants could reshape medicine, communication, and even the future relationship between humans and machines.

Could this new achievement challenge Neuralink’s position at the center of the brain-tech conversation? And what does it mean for the future of artificial intelligence, neuroscience, and human enhancement? The implications may be far bigger than many people realize.

Continue reading “China Just Beat Elon Musk With A Chip Inside The Human Brain” | >

Organoid Intelligence | Dr. Thomas Hartung | XPANSE 2024

Delve into the fascinating world of organoid intelligence at XPANSE 2024 in Abu Dhabi. Presented by Dr. Thomas Hartung, Professor of Medical Microbiology at Johns Hopkins University, this session explores the cutting-edge research and potential of lab-grown organoids to revolutionize computing, medicine, and neuroscience.

XPANSE, the world’s first visioning of the future with exponential technologies, is an Abu Dhabi-based global initiative and an invitation-only forum for exponential technology. XPANSE 2024, hosted by ADQ, convened 3,000 world’s brightest minds, technology trailblazers, Nobel Laureates, industry leaders, CEOs, ministers and scientists to set the horizons of exponential technologies spanning quantum, genomics, exotic computing, embodied intelligence, next-gen 2D matter, AGI, Brain-Machine Interfaces, Future G and beyond.

Be the first one to know about XPANSE 2025 ►► https://mailchi.mp/xpanse.world/sign–… connected with our community & get insider insights ►► / xpanse-world Follow XPANSE on Instagram ►► / xpanseworld Follow XPANSE on X ►► https://twitter.com/XPANSEWORLD
Stay connected with our community & get insider insights ►► / xpanse-world.
Follow XPANSE on Instagram ►► / xpanseworld.
Follow XPANSE on X ►►https://twitter.com/XPANSEWORLD

The Past, Present, & Future of Brain-Computer Interfaces By Rolando Masís-Obando

In brief: A historical look into how brain computer interfaces have transformed over the past few decades: the landmark research of the past, the landmark research of today, and how it’s going to transform the future of XR. As a neuroscientist for about a decade, my work has focused on how people represent spatial contexts, concepts, and events. I have been able to place people in VR experiences and then through the use of neuroimaging and AI methods untangle their thoughts and how those thoughts influenced what they remember. As this neuroimaging technology reduces in form-factor and increases in accessibility, we can no longer turn a blind-eye to how it may be used nefariously in consumer products. In this talk, I will describe how Brain-computer interfaces (BCIs) have been defined over the years, how research in this field has catapulted, an overview of the neuroscience behind the technology, the landmark studies of the past and present, use-cases in which XR, robotics, prosthetics and BCI have intertwined, and how new AI models are being used to perform mind-reading of both language and mental images. “With great power comes great responsibility” – I will end the talk by describing how and what it means for the future of XR and why it’s important to be careful with this technology, but also how incredibly empowering it can be for the future of XR.

Recursive Self Improvement

Computer, load up celery man.
Can AI build AI? Yes, and it already is. Sort of. I showcase the ability of AI agents like claude code to perform AI research, to build and optimize machine learning algorithms. I put various state-of-the-art LLMs like claude Mythos/Fable into an endless recursive research loop and have them build a neural network that learns the shape of the mandelbrot set. It is inspired by Andrej Karpathy’s autoresearch. While we watch this loop, I express my thoughts on the concept of recursive self improvement, arguing that it is possible, hard, and dangerous.
Sorry for the bitrate issues.

Fractalsearch repo: coming soon!

~SUPPORT ME~
Learn to code faster with Scrimba! (saves you 20% and support me): https://scrimba.com/?via=EmergentGarden.
Patreon: / emergentgarden.
Twitter: / max_romana.
Bluesky: https://bsky.app/profile/emergentgard… Autoreasearch: https://github.com/karpathy/autoresearch Mandelbrot Zoom: • Mandelbrot World Record Attempt — Part 1 (… Celery Man: • Tim and Eric — Celery Man Karpathy’s Youtube: / @andrejkarpathy Self-building Cranes: • How Tower Cranes Build Themselves Darwin-Godel Machine: https://arxiv.org/abs/2505.22954 Hashgrid Paper: https://arxiv.org/abs/2201.05989 Anthropic’s RSI Article: https://www.anthropic.com/institute/r… Fable System Card: https://www-cdn.anthropic.com/d00db56… My Music Guy: / @acolyte-compositions “Equatorial Complex” Kevin MacLeod (incompetech.com) Licensed under Creative Commons: By Attribution 3.0 http://creativecommons.org/licenses/b… ~TIMESTAMPS~ (0:00) Recursive Self Improvement (3:14) fractalsearch (9:56) RSI is Possible (15:03) RSI is Hard (21:52) RSI is Dangerous (26:03) Results (28:28) Cost (29:29) Takeoff.

~SOURCES~
Autoreasearch: https://github.com/karpathy/autoresearch.
Mandelbrot Zoom: • Mandelbrot World Record Attempt — Part 1 (…
Celery Man: • Tim and Eric — Celery Man.
Karpathy’s Youtube: / @andrejkarpathy.
Self-building Cranes: • How Tower Cranes Build Themselves.
Darwin-Godel Machine: https://arxiv.org/abs/2505.22954
Hashgrid Paper: https://arxiv.org/abs/2201.05989
Anthropic’s RSI Article: https://www.anthropic.com/institute/r…
Fable System Card: https://www-cdn.anthropic.com/d00db56…

My Music Guy: / @acolyte-compositions.

The World in 100 Years FULL EPISODE | Science Fiction Documentary

What will the world really look like in 100 years?

Forget flying cars, impossible megacities, and science-fiction fantasies. This documentary explores a realistic vision of life in the year 2,126 based on current trends in artificial intelligence, climate adaptation, biotechnology, energy, space exploration, economics, and human evolution.

How will cities change as the planet warms? What happens when AI becomes part of everyday life? Will humans live to 120 years? Will neural implants blur the line between biology and technology? Could Mars become a permanent home for thousands of people? And what happens to society when work, truth, privacy, and even human identity are redefined?

Travel one century into the future and discover a world that is both familiar and radically different from our own. A world shaped by the choices humanity is making right now.

From climate-engineered cities and fusion-powered civilizations to Martian settlements, artificial intelligence, genetic medicine, digital consciousness, and the search for life beyond Earth, this is a deep exploration of the most plausible future awaiting our species.

The future isn’t written.

Continue reading “The World in 100 Years FULL EPISODE | Science Fiction Documentary” | >

Machine Learning and Artificial Intelligence for Infectious Disease Surveillance, Diagnosis, and Prognosis

Advances in high-throughput technologies, digital phenotyping, and increased accessibility of publicly available datasets offer opportunities for big data to be applied in infectious disease surveillance, diagnosis, treatment, and outcome prediction. Artificial intelligence (AI) and machine learning (ML) have emerged as promising tools to analyze complex clinical and molecular data. However, it remains unclear which AI or ML models are most suitable for infectious disease management, as most existing studies use non-scoping literature reviews to recommend AI and ML models for data analysis. This scoping literature review thus examines the ML models and applications that are most relevant for infectious disease management, with a proposed actionable workflow for implementing ML models in clinical practice.

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