Smart rings are no longer novel. A few hidden superpowers, however, might make them interesting again.
Most devices are increasingly focused on biometric tracking. The Aivela Ring Pro aims to stand out with stealth gesture and touch controls. With a stealth flick, swipe or slide of the finger, you can control music playback, adjust volume, trigger the camera, advance slide decks, scroll and more on your phone.
Launched at CES 2026, the Ring Pro resembles many of its competitors, including the Oura Ring and Samsung’s Galaxy Ring. There’s only so much you can do with ring design after all. It has the familiar metallic (scratch-resistant) finish, a slightly thicker top profile and sensors lining the interior. The primary visual cue indicating something different is a small diamond-shaped engraving at the center, which signals the location of the touchpad.
Longitudinal data suggest music training acts as a cognitive buffer, protecting vocabulary development in adolescents from high-deprivation backgrounds.
Music: City Life – Artificial. Music (No Copyright Music) Link: https://www.youtube.com/watch?v=caT3j… ure Water by Meydän Link: • Meydän — Pure Water [Creative Commons — CC… Forever Sunrise — by Jonny Easton Link: • Forever Sunrise — Soft Inspirational Piano… Softwares used: Manim CE Keynote. Pure Water by Meydän. Link: https://youtu.be/BU85yzb0nMU Forever Sunrise — by Jonny Easton. Link: https://youtu.be/9Xndx7nhGAs.
There is a long-standing debate in the field of music cognition about the impact of musical training and whether formal training is needed to pick up higher-order tonal structures—the overarching harmonic framework of a piece of music.
New research from the University of Rochester, published in Psychological Science, offers fresh insight into that discussion. The findings suggest that nonmusicians have a surprisingly sophisticated ear when it comes to music.
“Formal training in music—including music theory—fine-tunes the ear to pick up tonal patterns in music, like tonic, dominant, and cadences,” says Elise Piazza, an assistant professor in the Departments of Brain and Cognitive Sciences and Neuroscience and the senior author of the study. “But it turns out that with zero training, people are actually picking up on those structures just from listening to music over the lifespan.”
Here is Emergent Garden’s thoughts on emergent complexity. I go through a tour of simple systems that produce unexpected complexity, and try to break down emergence into more general and useful ideas. We talk about snowflakes and ant colonies, cellular automata and universe simulations, and the many weird ideas of Stephen Wolfram. I also offer some advice for creating and encouraging emergent behavior. This video is important to me. Emergence is the most interesting thing in the universe.
The first NMNH human trial shows NAD+ levels increased up to 3x in 90 days. Here’s what the data actually reveal—and what’s still missing. Some links are affiliate links so we will earn a commission when they are used to purchase products.
The first human clinical trial results for NMNH are here. In this 90-day randomized, double-blind, placebo-controlled study, NMNH increased NAD+ levels up to 3x in healthy adults, with participants reporting improvements in energy and fatigue. But before you get too excited, there are important limitations to understand. In this video, I break down the trial design, explain what the NAD+ increases actually mean, review the subjective outcomes like energy and emotional well-being (measured via SF-36), and discuss why the biological age claims are difficult to interpret. I also cover safety data and what we still need to know. This is promising early data for NMNH vs NMN, but it’s unpublished, lacks key details, and needs independent replication. Here’s everything you need to know about what this trial does and doesn’t tell us. Key topics: NMNH clinical trial, NAD+ boosters, NMN vs NMNH, longevity supplements, anti-aging research, NAD+ levels, UthPeak study, Phase I trial results.
📚 Chapters. 0:00 — Introduction & Trial Overview What this video covers and the trial basics. 1:39 — Trial Design & Methodology Study structure, participants, and objectives. 2:31 — NAD+ Results The primary outcome: dose-dependent increases. 3:18 — Subjective Outcomes & Limitations Energy, mood, biological age claims, and why interpretation is difficult. 6:26 — Safety & Final Thoughts Tolerability data and what comes next.
🌐Links in this video. NMNH Clinical Trial https://www.clinicaltrials.gov/study/.… nicotinamide mononucleotide is a new and potent NAD+ precursor in mammalian cells and mice https://faseb.onlinelibrary.wiley.com… Reduced Nicotinamide Mononucleotide (NMNH) Potently Enhances NAD+ and Suppresses Glycolysis, the TCA Cycle, and Cell Growth https://pubmed.ncbi.nlm.nih.gov/33793… *************************************** Health claims Disclosure: Information provided on this video is not a substitute for direct, individual medical treatment or advice. Please consult with your doctor first. Products or services mentioned in this video are not a recommendation. Audio Copyright Disclaimer Please note that we have full authorization to the music that we used in our videos as they were created using the service WeVideo which provides the rights to the music. The rights are detailed in the terms of use that can be reviewed here https://www.wevideo.com/terms-of-use and any following inquiries should be addressed to [email protected]. ********************************************** #nmnh #nad #nmn. Reduced nicotinamide mononucleotide is a new and potent NAD+ precursor in mammalian cells and mice. https://faseb.onlinelibrary.wiley.com… Reduced Nicotinamide Mononucleotide (NMNH) Potently Enhances NAD+ and Suppresses Glycolysis, the TCA Cycle, and Cell Growth. https://pubmed.ncbi.nlm.nih.gov/33793…
Jim talks with Ben Goertzel about the ideas in his recent essay “Three Viable Paths to True AGI.” They discuss the meaning of artificial general intelligence, Steve Wozniak’s basic AGI test, whether common tasks actually require AGI, a conversation with Joscha Bach, why deep neural nets are unsuited for human-level AGI, the challenge of extrapolating world-models, why imaginative improvisation might not be interesting to corporations, the 3 approaches that might have merit (cognition-level, brain-level, and chemistry-level), the OpenCog system Ben is working on, whether it’s a case of “good old-fashioned AI,” where evolution fits into the approach, why deep neural nets aren’t brain simulations & attempts to make them more realistic, a hypothesis about how to improve generalization, neural nets for music & the psychological landscape of AGI research, algorithmic chemistry & the origins of life problem, why AGI deserves more resources than it’s getting, why we may need better parallel architectures, how & how much society should invest in new approaches, the possibility of a cultural shift toward AGI viability, and much more.
