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A drug to cure jet lag?

Adapting to eastward travel, such as west-to-east transmeridian flights, or to night-shift work requires advancing the internal clock, a process that normally takes longer and is physiologically harder than delaying it.

Existing methods, such as light therapy or melatonin, are heavily constrained by timing and often yield inconsistent results.

Mic-628’s consistent phase-advance effect, regardless of when it is administered, represents a new pharmacological strategy for resetting the circadian clock.

The researchers discovered that Mic-628 selectively induces the mammalian clock gene Per1.

Mic-628 works by binding to the repressor protein CRY1, promoting the formation of a CLOCK–BMAL1–CRY1–Mic-628 complex that activates Per1 transcription through a “dual E-box” DNA element.

As a result, both the central clock in the brain’s suprachiasmatic nucleus (SCN) and peripheral clocks in tissues such as the lungs were advanced—in tandem and independent of dosing time.

In a simulated jet lag mouse model (6-hour light-dark phase advance), a single oral dose of Mic-628 shortened re-entrainment time from seven days to four.

Sebastien Bubeck — A Combinatorics Problem — IPAM at UCLA

Recorded 10 February 2026. Sebastien Bubeck of OpenAI presents “A Combinatorics Problem” at IPAM’s AI for Science Kickoff. Learn more online at: https://www.ipam.ucla.edu/programs/sp… AI for Science Kickoff 2026: This inaugural event brings together the pioneers who are defining how AI will accelerate scientific discovery — from Nobel and Fields Medal laureates to the leaders shaping AI innovation across academia, research labs, and industry. The event features keynote talks by leading AI Scientists and Mathematicians, as well as panel discussions focusing on perspectives on AI from three sides: Mathematics, Higher Education, and Industry. This event is organized jointly by IPAM, the UCLA Division of Physical Sciences, the SAIR Foundation and the World Leading Scientists Institute.

Brain inspired machines are better at math than expected

Neuromorphic computers modeled after the human brain can now solve the complex equations behind physics simulations — something once thought possible only with energy-hungry supercomputers. The breakthrough could lead to powerful, low-energy supercomputers while revealing new secrets about how our brains process information.

Alien Mathematics

Aliens will make use of paraconsistent logic.


Is math truly universal—or just human? Explore how alien minds might think, count, and reason in ways we don’t recognize as mathematics at all.

Get Nebula using my link for 50% off an annual subscription: https://go.nebula.tv/isaacarthur.
Watch my exclusive video The Future of Interstellar Communication: https://nebula.tv/videos/isaacarthur–… out Joe Scott’s Oldest & Newest: https://nebula.tv/videos/joescott-old… 🚀 Join this channel to get access to perks: / @isaacarthursfia 🛒 SFIA Merchandise: https://isaac-arthur-shop.fourthwall… 🌐 Visit our Website: http://www.isaacarthur.net 🎬 Join Nebula: https://go.nebula.tv/isaacarthur ❤️ Support us on Patreon: / isaacarthur ⭐ Support us on Subscribestar: https://www.subscribestar.com/isaac-a… 👥 Facebook Group: / 1,583,992,725,237,264 📣 Reddit Community: / isaacarthur 🐦 Follow on Twitter / X: / isaac_a_arthur 💬 SFIA Discord Server: / discord Credits: Alien Mathematics Written, Produced & Narrated by: Isaac Arthur Select imagery/video supplied by Getty Images Music by Epidemic Sound: http://nebula.tv/epidemic & Stellardrone Chapters 0:00 Intro 2:02 Why We Expect Mathematics to Be Universal 6:32 Math Is Not the Same Even for Humans 10:47 How Alien Biology Could Reshape Their Mathematics 16:44 Alien Logic: When the Rules Themselves Don’t Match 20:37 Oldest & Newest 21:41 Can We Ever Bridge the Mathematical Gap?
Check out Joe Scott’s Oldest & Newest: https://nebula.tv/videos/joescott-old

🚀 Join this channel to get access to perks: / @isaacarthursfia.
🛒 SFIA Merchandise: https://isaac-arthur-shop.fourthwall
🌐 Visit our Website: http://www.isaacarthur.net.

🎬 Join Nebula: https://go.nebula.tv/isaacarthur.

Time crystals could become accurate and efficient timekeepers

Time crystals could one day provide a reliable foundation for ultra-precise quantum clocks, new mathematical analysis has revealed. Published in Physical Review Letters, the research was led by Ludmila Viotti at the Abdus Salam International Center for Theoretical Physics in Italy. The team shows that these exotic systems could, in principle, offer higher timekeeping precision than more conventional designs, which rely on external excitations to generate reliably repeating oscillations.

In physics, a crystal can be defined as any system that hosts a repeating pattern in its microscopic structure. In conventional crystals, this pattern repeats in space—but more exotic behavior can emerge in materials whose configurations repeat over time. Known as “time crystals,” these systems were first demonstrated experimentally in 2016. Since then, researchers have been working to understand the full extent of their possible applications.

Graham Priest: Dialetheism & the Limits of Classical Logic

For 2,500 years, Western thought has treated contradiction as catastrophic.

From Aristotle’s law of non-contradiction to modern formal systems, logic has operated under one sacred assumption: a statement cannot be both true and false.

But what if that assumption is wrong?

In my latest Singularity. FM conversation, I sit down with Graham Priest — one of the world’s leading philosophers of logic and the foremost defender of *dialetheism* — the view that some contradictions are true.

We explore:

• Why the liar paradox still unsettles logicians • How paraconsistent logic blocks “explosion” • Whether classical logic is incomplete rather than universal • What Buddhist philosophy understood about contradiction centuries ago • And whether AI systems may require non-classical logics to model human reasoning.

The Frontier Labs War: Opus 4.6, GPT 5.3 Codex, and the SuperBowl Ads Debacle

Questions to inspire discussion AI Model Performance & Capabilities.

🤖 Q: How does Anthropic’s Opus 4.6 compare to GPT-5.2 in performance?

A: Opus 4.6 outperforms GPT-5.2 by 144 ELO points while handling 1M tokens, and is now in production with recursive self-improvement capabilities that allow it to rewrite its entire tech stack.

🔧 Q: What real-world task demonstrates Opus 4.6’s agent swarm capabilities?

A: An agent swarm created a C compiler in Rust for multiple architectures in weeks for **$20K, a task that would take humans decades, demonstrating AI’s ability to collapse timelines and costs.

🐛 Q: How effective is Opus 4.6 at finding security vulnerabilities?

Why the Future of Intelligence Is Already Here | Alex Wissner-Gross | TEDxBoston

The future of intelligence is rapidly evolving with AI advancements, poised to transform numerous aspects of life, work, and existence, with exponential growth and sweeping changes expected in the near future.

## Questions to inspire discussion.

Strategic Investment & Career Focus.

🎯 Q: Which companies should I prioritize for investment or career opportunities in the AI era?

A: Focus on companies with the strongest AI models and those advancing energy abundance, as these will have the largest marginal impact on enabling the innermost loop of robots building fabs, chips, and AI data centers to accelerate exponentially.

Understanding Market Dynamics.

Physicists challenge a 200-year-old law of thermodynamics at the atomic scale

A long-standing law of thermodynamics turns out to have a loophole at the smallest scales. Researchers have shown that quantum engines made of correlated particles can exceed the traditional efficiency limit set by Carnot nearly 200 years ago. By tapping into quantum correlations, these engines can produce extra work beyond what heat alone allows. This could reshape how scientists design future nanoscale machines.

Two physicists at the University of Stuttgart have demonstrated that the Carnot principle, a foundational rule of thermodynamics, does not fully apply at the atomic scale when particles are physically linked (so-called correlated objects). Their findings suggest that this long-standing limit on efficiency breaks down for tiny systems governed by quantum effects. The work could help accelerate progress toward extremely small and energy-efficient quantum motors. The team published its mathematical proof in the journal Science Advances.

Traditional heat engines, such as internal combustion engines and steam turbines, operate by turning thermal energy into mechanical motion, or simply converting heat into movement. Over the past several years, advances in quantum mechanics have allowed researchers to shrink heat engines to microscopic dimensions.

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