LongevitAI 🧬 AI + Longevity
366 subscribers
333 photos
40 videos
2 files
224 links
AI, crypto, longevity
Download Telegram
The second of the seven has a name. Navier–Stokes.

For a century the equation of flowing water refused to say whether it always stays smooth, or whether it can tear itself open.

In 2003 Grigori Perelman closed the PoincarΓ© conjecture. The first of seven. He declined the million, and the room.

Today OpenAI claims the second.

Not the Astra in your browser. A model they called significantly more capable than GPT-6 Astra. A thousand agents on the Euler cousin. Ten thousand on the full problem. 88 hours. About $15 million if you asked to run the same search.

They say no human opened the working trace.

The Clay Institute has not stamped it. A day earlier, Buckmaster and AlpΓΆge published the stepping-stones, and a fight over credit had already begun. The coronation is announced. The priests have not nodded.

Still. Two of seven. The first took a man who walked away. The second, if it holds, was a machine that did not look up.

https://x.com/OpenAI/status/2097374640582668336
πŸ”₯2
An AI-designed drug just made six independent aging clocks move younger β€” in humans.
Not a mouse study. Not another rapamycin remix. Rentosertib (Insilico): generative-AI TNIK inhibitor, aging biology in the brief from day one.
Phase IIa IPF trial. Serum proteomics. Six clocks (ProtAge, OrganAge, PAC + more).
All six: lower predicted biological age vs placebo. Peak: ~3–4 years younger at week 4 on 30 mg BID (up to ~6 on one clock).
Why this matters:
🟣 AI found the target
🟣 AI designed the molecule
🟣 aging clocks in the trial design, not bolted on later
🟣 best age-clock dose β‰  best lung dose β€” not just "lungs improved"

Caveats: 🟠 n=42 proteomic subset 🟠 every patient had IPF 🟠 clocks β‰  proof you slowed aging 🟠 healthy-volunteer data still missing
πŸ—’ Real shift: disease trials can hunt geroprotection in parallel β€” years earlier than post-approval leftovers.
Baseline while science catches up β†’ AgePilot
Source: Nature Biotechnology (Zhavoronkov et al., Sept 2026)
πŸ”₯1
Partial epigenetic reprogramming just entered a human trial.

Not a mouse. Not a press-kit fantasy.
Life Biosciences dosed the first participant with ER-100 β€” OSK (OCT4, SOX2, KLF4), no c-MYC.

One eye. Glaucoma or NAION. AAV into retinal ganglion cells.
Doxycycline flips the switch for 56 days.

Why the eye:
🟒 local delivery you can image
🟒 pressure drugs don’t restore lost neurons
🟒 2020 Nature mouse work restored vision-linked function + younger epigenetic signatures

What this is NOT:
🟠 human age reversal
🟠 whole-body rejuvenation
🟠 proof anyone sees better yet

Primary endpoint: safety. Up to 18 people. Years of follow-up.

πŸ—’ Threshold most people will miss: Yamanaka-style partial reprogramming is no longer only an animal paper β€” it’s a clinical protocol.

Know your biology while the trial runs β†’ https://shop.tellmegen.com/en?sca_ref=11848100.IoSIJUJzfNYC4

Source: Life Biosciences / NCT07290244 (first dose Jun 2026)
πŸ”₯1
An Anthropic researcher just quit. His punchline is not funny β€” but our angle is.

Jacob Coxon left Anthropic after three years of pretraining work at OpenAI and Anthropic.

His claim: both labs are racing to self-improving superintelligence and β€œgambling with our lives.”
Insider belief, he says: AI could kill us all by the end of the decade. Not a marketing stunt.

Anthropic’s alignment lead Evan Hubinger replied in public: yes, they earnestly believe AI could kill all humans β€” and he puts his own odds at >10% this decade. No clear plan for superintelligence alignment yet.

🟠 private fear, public race
🟠 hubris: β€œwe must get there first because others won’t be careful”
🟠 longevity tip from the same news: if the machines win, NAD+ and VOβ‚‚max become… optional

πŸ—’ Keep stacking healthspan. Also notice when the people building the future say the future might not include you.

Sources: Coxon on X; Hubinger; TechCrunch / WSJ, 9 Sep 2026
πŸ”₯1
Your gut may predict inflammaging better than your birthday.

Not a probiotic ad. Nature Communications β€” DanFunD cohort, 1,199 adults aged 20–72.

Paired fecal microbiota + 30 plasma cytokines + physiology.

The punchline:
🟒 microbiota explained more variance than age for 97% of cytokines
🟒 and 84% of physiological measures
🟣 Bacteroides 2 enterotype: inflammaging-like profile up to ~37 years earlier
🟣 same pattern β†’ higher future disease risk (HR ~1.21)
🟒 high-diversity enterotype β†’ lower inflammation, lower risk

Caveats:
🟠 association, not a probiotic prescription
🟠 enterotypes are messy labels
🟠 Denmark cohort β€” not β€œyour stool test = destiny”

πŸ—’ Chronological age is a weak proxy for inflammatory tone. Your microbial community may be a louder β€” and more modifiable β€” signal.

Baseline while science catches up β†’ https://t.me/AgePilotBot?start=ref_134163805

Source: Eriksen et al., Nature Communications, 8 Sep 2026
πŸ”₯1
Cut the calories β€” and the genome takes fewer hits.

Not a longevity influencer tip. Cell, online now (9 Sep 2026).

Mice at βˆ’30% calories. High-fidelity duplex sequencing across liver, kidney, hepatocytes, cerebellar neurons.

What moved:
🟒 fewer substitutions genome-wide
🟒 fewer insertions/deletions
🟒 SBS5 β€” the quiet mutational process behind most mammalian mutations β€” dialed down
🟣 strongest drop in transcriptionally quiet DNA
🟣 liver felt it more than kidney or brain

Why it matters:
🟠 genomic instability is a hallmark of aging β€” diet just touched it
🟠 this is mice, not your intermittent-fasting protocol
🟠 extreme CR is hard and risky in humans β€” the goal is the mechanism, not the starvation

πŸ—’ Lifespan links to diet were old news. Genome-wide mutation load as a modifiable aging axis is the new punchline.

Source: GroΕ„ska-PΔ™ski, Evrony et al., Cell 2026 Β· DOI 10.1016/j.cell.2026.08.013
❀1
Ozempic’s cousin just bought old mice ~100 extra days.

Not a weight-loss ad. Nature (2 Sep 2026) β€” UC Berkeley / NIA: late-life semaglutide in healthy female mice.

Setup:
🟒 start at 20 months (~human 60s)
🟒 daily GLP-1RA until death β†’ median lifespan β‰ˆ +100 days (~12%)
🟣 vs matched 24% calorie restriction: drug kept memory, curiosity, and blood sugar better
🟣 metabolic rate stayed up β€” CR slowed it down

Why it’s juicy:
🟠 looks like a CR mimetic… plus extras that aren’t β€œjust eat less”
🟠 hallmarks dialed down: inflammation, weak regeneration
🟠 female mice only β€” no human longevity claim yet

πŸ—’ This morning: CR cut genome mutations. This afternoon: a GLP-1RA stretches late life in mice. Same axis, different tool.

TellMeGen β€” DNA context for the habits you keep stacking.

Source: Feng, Chen et al., Nature 2026 Β· DOI 10.1038/s41586-026-10940-7
Senescent cells wear an immune cloak β€” and it has a name: PD-L2.

Cell Metabolism (online today, 10 Sep 2026) β€” Cedars-Sinai / Kirkland lab.

What’s new:
🟒 PD-L2 rises on senescent cells and with aging
🟒 soluble PD-L2 climbs in blood; senolytics can knock the high-PD-L2 cells down in humans
🟒 PD-L2 knockout mice keep fewer zombies β€” better insulin sensitivity + grip strength
🟣 anti-PD-L2 restored insulin sensitivity in old wild-type mice

Why it bites:
🟠 senescent cells aren’t just β€œstuck” β€” they may actively hide from clearance
🟠 this is still mostly mouse + biomarker evidence, not a clinic drug
🟠 checkpoint blockade has real immune risks β€” don’t DIY oncology tools for longevity

πŸ—’ Senolytics kill. Immune surveillance unmasks. PD-L2 sits at that intersection.

Source: Chaib, Kirkland et al., Cell Metabolism 2026 Β· DOI 10.1016/j.cmet.2026.08.014
Six aging clocks. One AI-designed drug. Younger blood proteomes.

Nature Biotechnology (7 Sep 2026) β€” Phase 2a rentosertib (Insilico), the generative-AI TNIK inhibitor for IPF.

What moved:
🟒 six independent proteomic aging clocks all trended younger on drug vs placebo
🟒 peak ~3–4 years younger at week 4 (30 mg BID); up to ~6 on one clock
🟒 FVC improved too β€” but best lung dose β‰  strongest clock signal
🟣 senomorphic shift: less senescence/fibrosis proteins, remapped growth-factor paths

Caveats:
🟠 n=42, company-sponsored, exploratory biomarkers β€” not a lifespan trial
🟠 clocks can’t fully untangle less fibrosis from slower aging
🟠 don’t DIY an IPF investigational for β€œbio-age”

πŸ—’ Put aging endpoints inside disease trials β€” geroprotection may show up years earlier.

AgePilot β€” habits that move the healthspan dial.

Source: Zhavoronkov et al., Nat Biotechnol 2026 Β· DOI 10.1038/s41587-026-03286-y
Turn off growth-hormone signaling at midlife β€” mice live longer.

Aging Cell (5 Sep 2026) β€” Duran-Ortiz / Kopchick: inducible Ghr knockout at 12 months (roughly human midlife). Not a lifelong dwarf model.

What moved:
🟒 lifespan up in both sexes (log-rank: β™‚ p=0.0085, ♀ p=0.0264)
🟒 females: ~8% median (1003 vs 929 days); max lifespan +12%
🟒 males: ~7% median trend; better insulin sensitivity + preserved bone/strength signals
🟣 classic GH resistance: lower IGF-1, higher GH β€” without wrecking adult growth

Caveats:
🟠 mice + genetic KO, not a human drug trial
🟠 more fat / less lean later β€” weird body-comp tradeoff
🟠 total GH block β‰  safe DIY; FDA-approved antagonist pegvisomant still untested for aging

πŸ—’ Congenital GH/IGF-1 cuts already win longevity contests. This paper asks the clinic-relevant question: is midlife late enough β€” and answers yes, in mice.

Source: Duran-Ortiz et al., Aging Cell 2026 Β· DOI 10.1111/acel.70695
Why is human longevity still a billionaire blind spot?

NFX Bio / Longevity.Technology: science is at an inflection β€” reprogramming, organs, delivery, AI discovery, diagnostics. Tech tree mapped. Capital is not.

Aging is the #1 disease risk factor, yet under 0.5% of NIH funding. Many ultra-wealthy stay away: burned by clinics, doubt aging is fixable, assume wealth buys the cure later, or fear looking vain.

🟒 New (year to 2026):
β€’ Healthspan VC ~2.3x in 2025 β€” SVB: mostly a few megadeals
β€’ Flagships dominate: Altos, Retro, NewLimit
β€’ 2026: Life Biosciences ER-100 (partial OSK) entered human dosing
β€’ Calico fosigotifator fail (2025) + AbbVie exit β€” big checks β‰  proof

Caveat: money is concentrated, not absent. Missing: a broad pipeline through failure, biomarkers, human outcomes.

Longevity.Technology

DNA risk map β†’ TellMeGen
Your organs don’t age as one clock β€” and the immune system may lead the pack.

Nature Communications (9 Sep 2026) β€” plasma proteomes from 53,014 UK Biobank people β†’ 16 organ/system aging clocks. Validated in China Kadoorie Biobank (n=3,977).

What jumped out:
🟒 5,436 links to 1,059 diseases β€” organ-specific and pan-organ patterns
🟒 clocks react across 841 environmental factors
🟒 genetics: 261 loci; immune + liver are the most connected hubs
🟣 longitudinal network (n=1,006): immune, liver, stomach show temporal precedence (artery stronger in ♀, stomach in β™‚)

Caveats:
🟠 clocks from blood proteins β€” not a biopsy of every organ
🟠 β€œprecedence” is statistical, not proof of causation
🟠 atlas β‰  a therapy you can take tonight

πŸ—’ Aging is a network of organs, not one birthday. The next geroprotectors may need organ-level targets β€” not just β€œbiological age.”

Source: Nat Commun 2026 Β· DOI 10.1038/s41467-026-77365-8
Danshen's phenolic acids just cleared zombie cells β€” and old mice lived longer.

npj Aging (11 Sep 2026) β€” Zhang / Sun / Kirkland: salvianolic acids A, B, E from Salvia miltiorrhiza, screened from 55 natural agents.

What's new:
🟒 selective kill of senescent cells across lineages
🟒 hit GSTP1 (redox shield) β†’ ROS surge β†’ apoptosis + ferroptosis
🟒 biweekly SAA from 24–27 mo (~human 75–90): +51% median remaining life / +11% overall lifespan; mortality hazard βˆ’68%
🟣 better grip, walking, endurance β€” without a longer sick stretch at the end

Caveats:
🟠 mice + intermittent i.p. β€” not your herbal tea
🟠 oral bioavailability of SAs is notoriously poor
🟠 still needs independent replication before hype

πŸ—’ Late-life senolysis that works when started β€œold” is the rare punchline. Danshen capsules β‰  this protocol.

AgePilot β€” habits that move the healthspan dial β†’ t.me/AgePilotBot

Source: Zhang et al., npj Aging 2026 Β· DOI 10.1038/s41514-026-00496-1
Your voice just became a biological clock β€” in 30 seconds.

npj Aging (11 Sep 2026) β€” Krongauz / Segal: β€œVoice Age” from a short speech clip in 6,979 adults (40–70, Hebrew-speaking).

What's new:
🟒 sex-stratified models on WavLM-Large embeddings
🟒 women: R² 53.9%, MAE ~4.0 y · men: R² 44.0%, MAE ~4.4 y
🟒 #2 of 9 single-modality age models β€” only partly overlaps DNA/imaging/lifestyle clocks
🟣 stacking Voice Age onto other clocks always helped; + metabolomics β†’ RΒ² up to 65% (♀)
🟣 β€œVoice Age acceleration” tracked adiposity, sleep apnea signals, liver imaging

Caveats:
🟠 one language / one country / ages 40–70
🟠 predicts chronological age well β€” not yet proven as an intervention endpoint
🟠 mic quality, accent, illness can shift the score

πŸ—’ Longevity needs cheap, frequent readouts. If a phone clip carries independent aging signal, that’s a new sensor class β€” not a magic mirror.

Source: Krongauz et al., npj Aging 2026 Β· DOI 10.1038/s41514-026-00519-x
There’s a chance to minimize the catastrophe.

Amodei’s We Must Pace the Frontier: not a halt β€” a brake so safety keeps up. Longevity upside depends on it.

AI can crush drug discovery, aging clocks, personalized medicine. Lose a decade to a misaligned swarm or panic politics β€” and that upside slips.

🟒 RSI already speeds modelβ†’model progress
🟒 HF swarm = warning (Dario: 6–12 mo to catastrophic cyber scale if we keep racing)
🟒 Asks: embedded independent evaluators · pre-release gates · democratic coordination

Can’t stop progress. Can refuse reckless release.

Essay

DNA risk map β†’ TellMeGen
Which aging clocks actually move when you intervene?

Nature Medicine β€” Sehgal / Higgins-Chen (Yale + TruDiagnostic): TranslAGE harmonizes 51 human longevity trials and scores the same 16 epigenetic clocks (+94 other DNAm markers) on every study.

What's new:
🟒 mortality / pace clocks (esp. DunedinPACE, PCGrimAge) respond most β€” not Horvath-style chrono clocks
🟒 pharma + lifestyle beat supplements / procedures on average
🟒 anti-TNF + Mediterranean diet: most reproducible across studies
🟒 senolytic epigenetic signals look inconsistent study-to-study
🟒 bigger shifts in disease cohorts than healthy ones

Caveat: clock movement β‰  proven healthspan or lifespan gain. Responsiveness is a prerequisite for surrogate endpoints β€” not the surrogate itself.

πŸ—’ Takeaway: for trial design, prioritize reliable Gen2+ clocks β€” and match the clock to the intervention class.
APOE4 doesn't just float amyloid β€” it floods the blood–brain barrier with fibronectin.

Nature Aging (11 Sep 2026) β€” Columbia: why Ξ΅4 carriers get early BBB leak β€” and how rare FN1 protection may blunt it (~71% lower AD risk in prior genetics).

What's new:
🟒 astrocytes dump excess fibronectin (FN1) around vessels under APOE4 + Aβ42 + inflammation
🟒 FN1 alone is enough to break the barrier (integrin β†’ FAK β†’ VEGF / HB-EGF / IGF-1 collapses)
🟒 APOE4 mice: ~2Γ— brain fibronectin vs APOE3 + leaky barrier
🟒 cut FN1 or restore growth-factor signaling β†’ BBB returns (cells, fish, mice)
🟣 human brains + CSF: high FN1 tracks inflamed astrocytes

Caveats:
🟠 mechanism paper β€” not a drug trial
🟠 FN1 also heals wounds; blanket blockade could bite

πŸ—’ Brain aging may be as much vascular-interface as plaque β€” FN1 is now a concrete dial.

AgePilot β€” habits that move healthspan β†’ t.me/AgePilotBot
πŸ‘1
Senescent cells need mitochondrial citrate to scream inflammation β€” cut the export, quiet the SASP.

Nature β€” Martini et al.: zombie cells keep the cycle-arrest program, but their inflammatory shout runs on a metabolic–epigenetic checkpoint.

What's new:
🟒 senescent cells ramp the pyruvate β†’ citrate β†’ acetyl-CoA axis
🟒 SLC25A1 exports citrate; ACLY makes acetyl-CoA for histone marks at SASP genes
🟒 mtDNA / cGAS–STING lights the fuse β€” acetyl-CoA lets transcription actually fire
🟒 CTPI2 (SLC25A1 block): SASP down, p16/p21 arrest stays
🟒 aged mice: less SASP chromatin access, less inflammation, delayed frailty, better strength

Caveats:
🟠 mice + cells β€” not a human trial
🟠 senomorphic (mute the shout), not senolytic (kill the cell)

πŸ—’ You may not need to erase every senescent cell β€” starve the inflammatory license instead.
πŸ”₯1
Calorie cuts move aging blood markers β€” and not just because you weigh less.

GeroScience (12 Sep 2026) β€” Guida et al. pooled 7 randomized CR trials in older adults (n = 829). Composite index: CRP, IL-6, cystatin C, insulin, GDF-15, TNF-R1.

What's new:
🟒 CR improved the composite vs control (βˆ’2.2 quintile-change score)
🟒 strongest shifts: inflammation + insulin signaling (CRP, IL-6, insulin, TNF-R1)
🟣 weight loss explained only ~48.5% of the CR effect β€” the rest looks energy-balance biology, not just the scale
🟒 still significant after adjusting for weight (βˆ’1.2)

Caveats:
🟠 short-term trials β€” not a lifespan RCT
🟠 composite β‰  epigenetic clock; markers can move without proving more years

πŸ—’ Human CR isn’t only thinner β€” a TAME-style blood panel actually shifts.

DNA aging risk check β†’ TellMeGen
πŸ”₯1
One gut microbe keeps vanishing with age β€” and its metabolite may be the geroprotective signal.

Nature Aging (25 Aug 2026) β€” CAS / CNCB: Bifidobacterium pseudocatenulatum + 5-AVAB, tracked with a new microbiome clock (MicroAge).

What's new:
🟒 BP depletes with aging across sexes and Chinese cohorts
🟒 higher BP β†’ younger MicroAge vs clinical health markers
🟒 oral BP in old mice: gut homeostasis ↑, multiorgan inflammaging ↓, cognition/motor ↑, healthspan ↑
🟒 key metabolite 5-aminovaleric acid betaine (5-AVAB) also falls in aging humans
🟣 5-AVAB alone partly copies the benefits (memory, motor, inflammation)

Caveats:
🟠 mouse intervention + human observational layers β€” not a human probiotic trial yet
🟠 species/strain and dose still open questions

πŸ—’ Inflammaging may have a microbial dial: restore the bug β€” or its molecule.
πŸ‘1
Chronic inflammation in aging may start in your blood stem cells β€” and SIRT3 is the brake.

Nature Aging (16 Jul 2026) β€” UC Berkeley / Buck / Netea: SIRT3 in hematopoietic stem cells (HSCs) suppresses maladaptive trained immunity.

What's new:
🟒 SIRT3 is high in HSCs and falls with age (mice + humans)
🟒 Without that brake, HSCs launch epigenetic inflammatory training β†’ myeloid-biased progeny β†’ chronic inflammation
🟒 HSC SIRT3 overexpression: lower TNF/IL-6, fewer tissue macrophages, better muscle, cognition, glucose, lung structure in old mice
🟣 Benefits travel via myeloid cells β€” not just β€œfixing the bone marrow”

Caveats:
🟠 mouse genetics / transplants β€” not a human SIRT3 drug trial yet
🟠 how mitochondria rewrite chromatin in HSCs still partly open

πŸ—’ Inflammaging may be written in stem-cell memory. Target the HSC program, not only the cytokine.

AgePilot β€” habits that move healthspan β†’ t.me/AgePilotBot
❀1