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Can the UK Win the Quantum and Robotics Race? Rory Daniels, techUK

The UK keeps producing world-class technology, then watches many of its companies scale in America.

Rory Daniels, Head of Emerging Technology and Innovation at techUK, joins Thinking on Paper to discuss whether the United Kingdom can remain competitive as quantum computing, robotics, photonics, AI and advanced computing begin to converge.

The UK has strong research institutions, deep technical talent and globally significant companies. Its recurring problem is scale. Promising technologies are often developed in British universities and laboratories, then commercialised or funded elsewhere.

In this episode, we discuss:

-What makes the UK robotics industry different from the US and China.
–Whether robotaxis can coexist with London’s black-cab industry.
–Why UK technology companies struggle to scale after the startup stage.
–The role of universities, technology-transfer offices and regional innovation clusters.
–How techUK connects companies, researchers and policymakers.

Rory argues that the UK’s advantage may not lie in dominating a single technology. It may come from combining existing strengths in AI, chip design, robotics, quantum computing, photonics and connectivity.

Inside the Trajectory — How AI Gains Power and Control — Mo Gawdat

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Former chief business officer of google.

Mo Gawdat returns to London Real with a stark warning: artificial intelligence is advancing at breakneck speed, and humanity may be unprepared for its consequences.

The former Google X executive reveals how AI capabilities now double every 5.7 months and warns of an approaching “AI Cold War” driven by unchecked capitalism and fear.

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AI-guided catalyst turns CO₂ and waste into fertilizer at industrially relevant rates

Researchers from the National University of Singapore (NUS) have developed a computation-guided strategy to produce urea more efficiently from carbon dioxide and nitrate. By combining large language models, density functional theory calculations and experiments, the approach identified a cadmium-modified iron oxide catalyst that maintains high urea selectivity at practical current densities.

Urea is one of the world’s most widely used fertilizers, but its conventional production comes at a heavy environmental cost. The industrial process accounts for more than two percent of global energy consumption and releases over 200 million tons of carbon dioxide each year.

A cleaner alternative is to produce urea electrochemically, using low-carbon electricity to convert carbon dioxide and nitrate into a useful product. However, this approach has been difficult to scale up. At the high current densities needed for practical production, the catalysts often favor competing side reactions, such as hydrogen gas formation or carbon dioxide reduction to other products.

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.

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.

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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.

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