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Cooperation by non-kin during birth underpins sperm whale social complexity

In an unprecedented observation, researchers in Science captured the birth of a sperm whale calf, documenting how 11 whales from two normally separate family groups coordinated closely to support the newborn for hours after its arrival.

These findings offer quantitative evidence of direct communal caregiving in cetaceans and suggest that short-term, highly coordinated cooperation during critical moments like birth may play a foundational role in maintaining the complex social structures seen in sperm whale societies.


Birth and neonatal care represent particularly revealing contexts for understanding the emergence of cooperation. Cetacean species produce a small number of offspring with long lifespans. Calves are born infrequently and represent a major maternal investment; calf survival depends heavily on immediate support after birth and early caregiving (9). Thus, births offer critical opportunities to study how individuals coordinate in high-stakes contexts. Direct quantitative observations of sperm whale births remain virtually absent (14), with only four sperm whale births being reported over the past 60 years, and all of them either anecdotal or whaling related (1518).

Within the matrilineal social units of sperm whales, individuals take turns socializing, foraging, and caring for calves across years (1924). Through decades of observational work (19, 21, 22, 2528), communal allocare for calves has been identified as the central mechanism driving selection for sociality in this species. Although it has been hypothesized that communal defense and shared parental care underpin the evolution of sperm whale sociality (19, 22, 23, 26), these hypotheses have lacked direct empirical grounding during the birth of a newborn. Newborns are assumed to be negatively buoyant (20, 29) and likely require immediate physical support to breathe, and this potentially shapes the evolutionary importance of cooperative allocare within units (26, 30). Under this framework, the survival of mothers and newborns around birth creates a potentially dangerous environment in which selection is strongly imposed.

Here, we present a high-resolution, multiscale analysis of a sperm whale birth event through the integration of drone-based videography, machine learning, and longitudinal association and kinship data. We quantified how individuals across two distinct matrilines coordinated around the mother and newborn by analyzing and tracking physical support, proximity, orientation, and role distribution over time. Our results suggest that kin and non-kin engaged in sustained, cooperative, postnatal care, taking turns to support the newborn and maintain group cohesion, in contrast to historical kin-segregated foraging patterns (21). These findings provide rare quantitative evidence of direct allocare in cetaceans and can lend support to the hypothesis that transient, structured cooperation during birth is a key mechanism sustaining complex sociality in sperm whales.

Eyal Aharoni — Breaking the Moral Turing Test

Dr. discusses one of the most provocative frontiers in technology: the automation of moral judgement — in his talk focusses on outcomes of a comparative moral Turing test (AI outperforms humans across a range of metrics), as well as AI assisted medical triage!

Link in reply🔗

Eyal Aharoni


Dr. Eyal Aharoni (Georgia State University) to the Future Day 2026 stage to discuss one of the most provocative frontiers in technology: the automation of moral judgement.

Breaking the Moral Turing Test: Studies of human attribution and deference to AI moral judgment and decision-making.

Aubrey de Grey — How close are we to robust mouse rejuvenation, and why does that matter?

Full talk at Future Day 2026 — link in reply 🔗


Polymath and trailblazer in bio-rejuvenation Aubrey de Grey gave a talk at Future Day 2026 on the next phase of robust mouse rejuvenation trials!

Synopsis: The “damage repair” approach to bringing aging under medical control has made huge strides since I first proposed it 25 years ago. However, since it is a divide-and-conquer strategy, we should not be surprised at the absence of progress in the “bottom line” of life extension, even in mice. Can we realistically expect that to change any time soon? I will present reasons to believe that we can, in the form of accelerating progress in proofs of efficacy of individual treatments, together with initial proof of concept that combining damage repair modalities will give additive benefits.

0:00 Intro.
0:29 Talk starts.
1:28 Age related vs infectious diseases.
3:26Epidemic of the chronic conditions of late life — why?
4:42 Ways to be sick: popular view.
7:10 Aging in three words (metabolism, damage, pathology)
11:46 Ways to be sick: correct view.
15:29 What we do these days against aging — Geriatrics.
18:21 Gerontology: A more promising approach?
20:57 Metabolism is complex.
22:37 Maintenance: A common sense alternative.
24:39 Comparison: car maintenance.
26:00 7 deadly things.
29:17 Cell 153:1194 — too many citations to count.
30:22 The first round of the race to RMR (Robust Mouse Rejuvenation)
38:43 Females: yay, additivity!
40:09 Males: messier, but mostly the same story.
41:02 What health indices did we measure?
43:23 RMR2: ASAP! See levf.org/rmr2
46:30 AUBRAI
48:36 Learn more and help!
51:11 How has the longevity industry vibe changed over the last 7 years?
56:32 LEV Foundation only org working on this combination of damage repair regimes.
57:55 Has AI made progress in helping solve aging? In-silico medicine.
1:01:16 Changes to seven deadly things?
1:04:54 Hallmarks of aging — defacto taxonomy — difficulty translating to other taxonomies?
1:06:17 Has the damage repair methodology been attracting people over?
1:09:56 Stradelling both academia and private industry — but what about the state?
1:13:36 Robust Mouse Rejuvenation timelines under ideal funding.
1:19:49 Infections.
1:25:46 Treatment cadence.

#rejuvenation #medicine #health #aging #ageing.

14 JEPA Milestones as a Map of AI Progress

Tx, Yann LeCun.

• JEPA / H-JEPA: avoids predicting every single pixel (too expensive) and rather predicts in latent space. H-JEPA adds hierarchy — short term details vs long term planning ie. how humans actually learn.

• I-JEPA: built for very efficient vision models. Masks image patches and predicts the semantics and in doing so bypasses heavy compute of traditional autoencoders.

• MC-JEPA & V-JEPA: both of these are built for videos. MC-JEPA separates content (what an object is) vs motion (how it moves). V-JEPA masks video features with no text labels making it perfect of action tracking at scale.

• Audio-JEPA: filters out background noise by treating sounds like visuals.

• Point-JEPA & 3D-JEPA: used primarily in AVs. Uses LiDAR point clouds & volumetric grids.

• ACT-JEPA: filters out real world noise to learn manipulation tasks efficiently via imitation learning.

Human brain operates near, but not at, the critical point

A recent study published in Physical Review Letters reveals that many widely used signatures of criticality in brain data may be statistical artifacts. They propose a more robust framework that, when applied to whole-brain fMRI data, confirms the brain operates near, but not exactly at, a critical point.

Neuroscientists have long found the idea fascinating—that the brain operates near a “critical point,” a phase transition between stable and chaotic dynamics. Theory suggests this sweet spot enhances computational flexibility, dynamic range, and sensitivity to inputs. Evidence has mounted over the years from neural recordings showing approximate scale invariance and power-law behavior across spatiotemporal scales.

The concept has even influenced AI, particularly reservoir computing, where networks near the “edge of chaos” tend to perform best. However, the field faces a persistent concern: are these criticality signatures intrinsic to the brain’s recurrent dynamics, or do external inputs and data limitations shape them?

Can Humans REALLY Leave Earth? [Interstellar Spaceship]

If you want to know more about the @HP ZBook Ultra G1a Powered by an @AMD Ryzen™ AI MAX Pro 300 Series Processor, click the link below.
https://www.hp.com/us-en/workstations… Projects (Chrysalis, WFP, Sistema Stellare Proximum) https://www.projecthyperion.org/ My Research Booklet https://nollimedia.com/hyperion_bookl… My Merch: https://damilee.com/collections/gear Become a channel producer: https://ko-fi.com/damilee/tiers Music and Stock footage by Artlist (2 additional months free on any annual plan if you use my link): https://bit.ly/3GxTfQ6 Join the Discord Server: / discord JOIN MY NEWSLETTER: https://www.damilee.com/pages/newsletter DESK + ACCESSORIES: Ergonofis Sway Desk https://bit.ly/3W3sHNi Ergonofis Shift Desk https://bit.ly/3YtHzq4 Film Equipment Black Magic PCC 6K PRO: https://amzn.to/3YiAAz6 Insta360 RS ONE http://bit.ly/3HjifLy Sony FX30 https://amzn.to/3gDAqCw Laowa Probe Lens : https://amzn.to/3HOWvIK Sirui Night Walker https://amzn.to/40mVIbZ IPad Pro 13 Inches M4 https://amzn.to/40hH1a1 Hollyland MARS https://amzn.to/41GJKYt Hollyland Lark M2 https://amzn.to/3Xf9QiA Aputure Amaran RGB stick https://amzn.to/3A8gh18 RONIN RS-4 https://amzn.to/4f1o6F0 Small Rig COB lighs https://amzn.to/4fqkPip Edited With Davinci Resolve https://bit.ly/4hgUEMC Book Recommendations: https://damilee.com/pages/recommended… INSTAGRAM — / damileearch TWITTER — / damileearch LINKEDIN — / damilee TIKTOK — / damileearch WHO AM I: I’m Dami, a licensed Architect living in Vancouver, BC. I make videos about architecture, career, and creativity. WEBSITES https://www.damilee.com https://nollimedia.com/ Filmmaking by Raffaele di Nicola Raffaele di Nicola IG @nollistudio Special Thanks @TheNetworkHub Vancouver https://thenetworkhub.ca/ GET IN TOUCH: If you’d like to talk, I’d love to hear from you! Commenting on a video or tweeting @damileearch will be the quickest way to get a response from me, but if your question is very long, feel free to email me at hello@damilee.com. I try my best to respond to the emails, but unfortunately, there just aren’t enough hours in the day! A NOLLISTUDIO/NOLLIMEDIA Production http://www.nollistudio.com @HPInc @AMD #InterstellarTravel #GenerationShip #SpaceArchitecture #SpaceColonization #FutureOfHumanity #SpaceExploration #Megastructures #Architecture #Engineering #SciFi #SpaceDesign #DeepSpace #HumanSpaceflight #SpaceHabitat #AsteroidMining #Interstellar #SpaceSettlement #FutureEngineering #ClosedLoopSystems #SpaceTechnology #ad #AMD #Ryzen #RyzenAI What would it actually take to leave Earth — not for a weekend on the Moon, but forever? This video tests three real generation-ship proposals against five brutal constraints: gravity, radiation, closed-loop life support, cultural continuity across 400 years, and the selection problem — choosing who gets to go. We break down Chrysalis (a 58 km modular ship that sheds stages like a rocket), Proximum (a civilization carved inside an asteroid), and WFP (a self-assembling micro-city based on MIT research). Along the way we confront governance without a homeworld, genetic bottlenecks, generational memory loss, and why shared rituals might matter more than engine specs. The answer isn’t one ship — it’s three radically different philosophies of what it means to be human in deep space.

Hyperion Projects (Chrysalis, WFP, Sistema Stellare Proximum)
https://www.projecthyperion.org/

My Research Booklet.
https://nollimedia.com/hyperion_bookl

My Merch:
https://damilee.com/collections/gear.

Become a channel producer:
https://ko-fi.com/damilee/tiers.

Music and Stock footage by Artlist (2 additional months free on any annual plan if you use my link):

AI Designed Peptides Could Cure… EVERYTHING. LigandForge Is Here

LigandForge generates 150,000 peptide drug candidates in 3 minutes — a million times faster than existing methods, unlocking a tsunami of possible treatments.

A man with no medical background used ChatGPT, AlphaFold, and Grok to design a custom mRNA cancer vaccine for his dying dog — and her biggest tumor shrank 75%.

Meanwhile, scientists discovered a single protein that literally spreads aging through your bloodstream. These stories are each incredible on their own. But the big story is the implications for curing aging.

In this deep dive, I break down how these three breakthroughs fit together, what peptides and mRNA vaccines actually are (and how they’re different), and why this moment might be the most important inflection point in the history of drug design.

The age of custom AI cures isn’t coming. It’s here.

HUME BODY POD DISCOUNT UP TO 50% OFF:

Brain-inspired AI hardware helps autonomous devices operate efficiently and independently

The human brain constantly makes decisions. It requires minimal power to move bodies in a desired direction or avoid an object. A Purdue University engineer uses the brain’s efficiency as inspiration to help autonomous vehicles, such as drones and robots, make crucial, time-sensitive decisions while operating in the field.

Kaushik Roy, the Edward G. Tiedemann, Jr. Distinguished Professor of Electrical and Computer Engineering in Purdue’s Elmore Family School of Electrical and Computer Engineering and director of the Institute of Chips and AI, is developing brain-inspired hardware that enables autonomous devices to efficiently navigate and adapt to their environment. This work is published in Communications Engineering

AI-powered machines have advanced significantly over the past several decades thanks to machine learning, which enables these devices to recognize patterns and make predictions or decisions. But the algorithms that facilitate this learning require immense amounts of energy to operate due to their intensive calculations and the design of the hardware that runs them.

Wristband enables wearers to control a robotic hand with their own movements

Massachusetts Institute of Technology (MIT) engineers have developed an ultrasound wristband that precisely tracks hand movements in real-time for robotics and virtual reality control.


The next time you’re scrolling your phone, take a moment to appreciate the feat: The seemingly mundane act is possible thanks to the coordination of 34 muscles, 27 joints, and over 100 tendons and ligaments in your hand. Indeed, our hands are the most nimble parts of our bodies. Mimicking their many nuanced gestures has been a longstanding challenge in robotics and virtual reality.

Now, MIT engineers have designed an ultrasound wristband that precisely tracks a wearer’s hand movements in real-time. The wristband produces ultrasound images of the wrist’s muscles, tendons, and ligaments as the hand moves, and is paired with an artificial intelligence algorithm that continuously translates the images into the corresponding positions of the five fingers and palm.

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