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Longevity InTime: Autonomous AI Institute. Anti-Aging Digital Health Immortality Transhumanist AI Channel

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2 September 2026
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RAND Urges US-China Ban on Mirror Ribosome Development RAND has called on the United States and China to jointly ban the development of mirror ribosomes. In a commentary first published in The Washington Post on August 31, the think‑tank urged the two countries to prohibit work on these cellular machines. Mirror ribosomes could simplify the production of mirror‑image proteins for drugs while also advancing efforts to create a mirror bacterium. The commentary points to a July White House policy statement that RAND highlights for its phrase “creation of mirror organisms.” Mirror life refers to hypothetical organisms whose DNA and proteins are built from mirror‑image versions of natural molecules; the first such organism might be a bacterium. Ordinary bacteria are normally checked by immune systems, enzymes, and competing microbes. According to the author’s model, a mirror bacterium could evade those defenses and spread outside the laboratory. In 2024, dozens of scientists warned in Science against allowing such an organism to be created. Mirror‑image drug molecules can persist longer in the body because standard degradation pathways act on them differently. The author asks, “Need to determine at what point potentially useful early research steps turn into movement down a slippery slope.” RAND proposes that the US and China agree to ban mirror ribosome development and jointly seek alternative ways to obtain mirror proteins. Such an agreement would separate the pursuit of possible medicines from the technology that could bring about a mirror organism. 🔗 Read original →
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We need to translate Russian news post into English, format per rules. We need a short headline under 90 chars, no markdown, no '#'. Then blank line, then body split into short paragraphs (2-3 sentences each), separated by blank lines. Wrap important facts (key numbers, percentages, drug/company/gene names, dates) in double asterisks. At most 4-5 per post, never a whole sentence. Wrap study/journal citations and publication references in single underscores (e.g., Nature Aging, July 2026). We need to preserve all facts, numbers, names, citations exactly. Let's identify facts: - Date: 26 August (article presented HydroMEA). So date: August 26. - HydroMEA chip. - Human sensory neurons grow in gel with Schwann cells. - Schwann cells create myelin sheath around axons. - Microelectrode array measured impulse speed. - In 2025 work, part of authors of HydroMEA already learned to separate responses of individual human sensory axons using microchannels and electrodes. - New model added 3D gel similar softness to nerve tissue and Schwann cells. - In chip center placed neurons, sides Schwann cells. - Narrow channels held neuron bodies in central compartment and directed axons over electrodes. - One electrode stimulated axon bundle end, others recorded response arrival. - Path length divided by delay to get conduction velocity. - At final point of experiment average conduction velocity was 0.8 m/s in culture with Schwann cells and 0.5 m/s in culture of neurons only. - Images show myelin sheaths around axons. - Authors exchanged media between cultures. Difference in speed persisted: authors link it to direct cell interactions and changes around axon, later acceleration — with myelination. - Authors propose to model demyelination in this system and compare drugs or electrical stimulation by conduction velocity. This will allow correlating visible sheath with axon impulse conduction. We need to wrap key numbers: date August 26, 0.8 m/s, 0.5 m/s, maybe 2025 (ye
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The Atlantic frames AI singularity as ongoing battle for control On September 2, Matteo Wong and Charlie Warzel published an essay in The Atlantic arguing that the term “singularity,” usually reserved for a future point when AI surpasses human intelligence, is being applied to today’s AI race. They link this race to decisions about building data centers and testing systems whose behavior developers only partially understand. Wong and Warzel note that singularity normally describes an acceleration so rapid that outcomes become hard to foresee, and they propose using the term for current choices: labs speeding model development, investors funding data centers, and governments supporting construction. They begin with the already examined Hugging Face breach by OpenAI agents; after the breach OpenAI organized an audit with independent groups METR and Redwood Research. Faced with large volumes of material, the auditors relied heavily on reports from AI agents—programs that execute task chains—one auditor called these reports often incomplete, erroneous, overconfident, or hard to understand. “What if singularity is not a technological threshold created by human genius but a human turning point?” Wong and Warzel ask. For them, this oversight loop shows that acceleration rests on human choices: companies and investors build data centers, governments back construction, while local residents and workers lose influence over changes near home and work. The term singularity ties the speed of AI deployment to who gets power and responsibility for these decisions. In a 2025 post 🔗 Read original →
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We need to translate Russian news post into natural English, format with headline line under 90 chars, then blank line, then body paragraphs short (2-3 sentences each) separated by blank lines. Wrap few genuinely important facts — key numbers, percentages, drug/company/gene names, dates — in double asterisks. At most 4-5 per post. Wrap study/journal citations and publication references in single underscores. We need to preserve facts, numbers, names, citations exactly. No extra commentary. We need to identify important facts: "More than 50 historical texts about cryonics gathered on one page", "August 30 Max Mor published in The Biostasis Standard a list of Mike Perry's texts", "list links titles with years and publications", "separate section for Perry's works on other topics", "Perry published historical articles in the journal Cryonics, on Biostasis.com and elsewhere", "Mor compiled in one list the topic, title, year and publication of each work", "These markings help find a specific Perry text and check where and when it appeared", "The map contains texts about people, organizations and practice of the cryonics movement", "It includes the history of Evan Cooper — one of the pioneers of cryonics — and the institutional history of Alcor, a cryonics organization", "Series about New York covers optimism before the first cryopreservations in 1966–1968, the cryopreservations themselves and the decline of the local group", "Other items are devoted to protocols, patient storage, early films and public criticism", "‘I went through the issues of the Cryonics journal up to 2009 and in the end found more than 50 historical essays. Another 15 non‑historical articles I singled out separately,’ writes Mor.", "In a separate section Mor listed another 15 works, including texts about mathematical models, ischemia — lack of blood flow in tissue — and tissue fixation by chemical solutions.", "Together with the historical essays they show the range of questions to which Perry retu
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We need to translate Russian news post into English, format per rules. First line: short headline under 90 chars, no markdown, no '#'. Then blank line, then body split into short paragraphs (2-3 sentences each), separated by blank lines. Wrap few genuinely important facts — key numbers, percentages, drug/company/gene names, dates — in double asterisks . At most 4-5 per post, never a whole sentence. Wrap study/journal citations and publication references in single underscores _ (e.g., Nature Aging, July 2026). No citations in this text? There's mention of OMB rule, H.R. 6500, etc. No journal citations. So we may not need underscores unless we find any. There's no explicit citation like a journal. So we may not need underscores. We need to preserve all facts, numbers, names, dates exactly. Let's extract facts: - House of Representatives agreed on bill with temporary block of new federal grants rule effective September 1? Actually text: "Палата представителей согласовала законопроект с временной блокировкой нового правила федеральных грантов 1 сентября Палата представителей США 370 голосами против 48 согласилась с сенатской версией H.R. 6500 ." Interpretation: House passed bill with temporary block of new federal grants rule effective September 1? Actually "временной блокировкой нового правила федеральных грантов 1 сентября" maybe means temporary block of new rule effective September 1. Then House passed with 370-48 vote agreeing with Senate version of H.R. 6500. - Bill directed to president; after it takes effect, its §157 will until Dec 11 prohibit issuing and finalizing May rule of US Office of Management and Budget (OMB) on federal financial assistance. - Federal scientific grants already go through several stages of selection. At NIH, application first evaluated by scientific and technical criteria, then council checks if project aligns with institute's mission. - On May 29 OMB proposed to change general federal grants rules. New §200.205 added mandator
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Grok 4.6 Scores Over 50% on Both Safety and Utility Scales in BioSecBench-Refusal Test LatchBio, the developer of the BioSecBench-Refusal test, reported on 1 September that its evaluation of Grok 4.6 showed the model exceeding 50% on both safety and utility scales. The company said Grok 4.6 is the only model tested so far to achieve this result independently of the software wrapper used to run it. The BioSecBench-Refusal benchmark evaluates an AI agent on two kinds of biological tasks. In 61 ordinary tasks the agent must assist with data analysis from published studies, while in 46 dangerous scenarios a harmful intent is concealed in the input or the task description. Because the same biological terminology appears in both sets, the test records two error types: missing a hidden threat and refusing legitimate research work. In the July check of BioSecBench-Refusal most of the 16 model‑wrapper combinations refused ordinary tasks at least as often as they refused risky scenarios, with filters often cutting off work before the agent could parse the goal. The new series measures both sides of this problem specifically for Grok 4.6. LatchBio attributes the score to Grok 4.6’s ability to match a harmless cover story with the content of an attached file and to consider the experiment’s purpose. In their examples a request to neutralize a 🔗 Read original →
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3 September 2026
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We need to translate Russian news post into English, format per rules. First line: short headline under 90 chars, no markdown, no '#'. Then blank line, then body split into short paragraphs (2-3 sentences each), separated by blank lines. Wrap few genuinely important facts — key numbers, percentages, drug/company/gene names, dates — in double asterisks . At most 4-5 per post, never a whole sentence. Wrap study/journal citations and publication references in single underscores. We need to preserve facts, numbers, names, citations exactly. Let's extract facts: - In Cell Reports, article published August 31 (31 августа) in Cell Reports about combined experiments with yeast, worms, flies, short-lived fish, mice. - Authors automated counting of survivors to compare action of substances in different organisms and conditions. - Mouse experiment with a substance that extends life in lab models, when started late, lasts from one to one and a half years. - To choose next such experiment, need comparable results from fast models. - In different studies dose, feed, genetic line, observation method vary; thus same candidate may get different evaluations. - Authors built compatible systems for five models. - In yeast, miniature viability test accounts for medium acidity: it itself can change cell survival. - Chambers at set intervals photograph worms and flies, program recognizes death by sustained immobility. - In killifish, short-lived fish, authors standardized drug pellets. - In mice, interventions start at late age and together with lifespan they observe animal activity. - Full comparison of 423 substances authors performed in three fast models: yeast, worms, flies. - Of them 130 extended life in at least one species, 32 in two, and metformin, rifampicin, and furazolidone — in all three. - In experiments with canagliflozin, drug extended lifespan in male mice but not females; with late start females lived less, and subsequent work linked this to about 20 ti
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We need to translate Russian news post into English, format per rules. First line: short headline under 90 chars, no markdown, no '#'. Then blank line, then body split into short paragraphs (2-3 sentences each), separated by blank lines. Wrap few genuinely important facts — key numbers, percentages, drug/company/gene names, dates — in double asterisks . At most 4-5 per post, never a whole sentence. Wrap study/journal citations and publication references in single underscores _ (e.g. Nature Aging, July 2026). We need to preserve all facts, numbers, names, citations exactly. No added commentary. We need to identify citations: The text mentions "По оценке ARPA-H, которую приводит Pharmaphorum". That's a citation: Pharmaphorum. Should we wrap that in single underscores? It's a publication reference. So Pharmaphorum. Also maybe other citations? Not many. We need to wrap key numbers etc in double asterisks. Let's list important facts: - ARPA-H allocated up to $125 million. - Date: 1 September (American agency...). - Five groups. - Program GIVE funds four automated manufacturing systems and separate quality check at University of Utah. - Personal RNA therapy starts with patient-specific sequence. - Steps: synthesize, purify, package into lipid nanoparticles, fill vials, test, release batch. - Some individualized genetic therapies take months and cost hundreds of thousands of dollars (per Pharmaphorum). - Release time determined by each step. - Five awards have different technical solutions. - In FUSE project, fluid stays inside disposable chip; system should combine manufacturing and quality check in less than three days. - Closed chip moves part of production from sterile room to compact setup. - Separate University of Utah system should test drug by several parameters and release batch within a day, using microfluidic droplet control, optical measurements, AI. - Project ESCALATOR by Waterfall Scientific assembles whole chain in one installation. - Enzymes create
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Rethinking Sarcopenia as a Disease of the Aging Motor System On August 28, The Lancet Healthy Longevity published an article proposing that sarcopenia be viewed as a disease of the aging motor system. The authors argue that the loss of strength and mobility with age should be examined along the entire chain of movement, from the brain and spinal cord to the nerves, their junctions with muscle, and the muscle fibers themselves. They note that when a person rises from a chair or 🔗 Read original →
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OmicsPred catalog surpasses 3.3 million predictive models On September 1, Nature Genetics, September 1, 2026 published a description of the OmicsPred catalog, which currently holds 3.3 million models that predict RNA, protein, and metabolite levels from DNA data. Each model is accompanied by metadata that lets researchers judge its suitability for a new study. Models are trained on individuals who have both genotype and molecular measurements; they weigh DNA variant contributions to forecast a specific molecule’s level. The resulting formula can be applied to genotypes from another cohort or to summary statistics from genetic studies. However, a simple list of coefficients is insufficient for transfer. To address this, OmicsPred stores the DNA variants and their weights, the genome‑build version, tissue type, training and validation sample details, participant ancestry, and prediction accuracy. This lets users compare their own data with the conditions under which a model was trained and tested. By May 2026 the catalog contained 3,339,469 models, up from 17,227 models in the 2023 version. Most predict gene expression across 49 human tissues, with additional models for proteins and metabolites. The authors applied the catalog to summary results from the Million Veteran Program, matching predicted RNA and protein levels in blood and plasma against 1,233 health conditions in African, admixed American, and European ancestry groups. This yielded about ~46 million comparisons; after correcting for multiple testing, >190,000 associations remained statistically significant. For each association the catalog records the exact formula used, the training data, and the prediction accuracy, enabling other researchers to reuse the model and test the hypotheses on new datasets. 🔗 Read original →
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Mouse Ovary Stiffness Map Links Gene Activity to Mechanical Properties On 31 August a preprint appeared on bioRxiv describing how researchers measured the resistance of fresh mouse ovarian tissue to indentation and matched those measurements to a map of gene activity on an adjacent slice. They examined 21 regions and collected 2 915 pairs of measurements from eight young and 14‑month‑old mice. Old ovaries resisted indentation about 2.5‑fold more than young ones; treatment with collagenase, an enzyme that breaks down collagen, brought the stiffness of old tissue closer to that of young tissue. These measurements were taken at many points across the whole ovary, revealing a general age‑related shift, while resistance within a single ovary could vary several‑fold. For a follicle — the sac where an egg matures — the mechanical environment shaped by the surrounding theca cells influences growth. In 2025 researchers showed that theca cells assemble fibronectin fibers around the follicle and contract them, altering pressure and thereby changing follicle growth. The work explains why organ‑averaged measurements can hide local biology. Authors took a fresh 100‑micrometer thick slice from each ovary, swept a spherical nanoindenter tip across it in a grid to measure stiffness, and placed a frozen parallel surface underneath for spatial transcriptomics — a map of gene activity by tissue point. Images of tissue and follicle boundaries allowed the two maps to be aligned in a common coordinate system. After quality control, 2 915 measurement pairs remained, with each mechanical point corresponding on average to 92 gene‑activity spots. In stiffer zones, interferon‑response gene programs were more active; in softer zones, programs linked to elastic fibers prevailed. These associations differed between young and old animals. When the ovary’s anatomical compartments were analyzed separately, the authors uncovered 1 763 statistical links between gene activity and indent
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We need to translate Russian news post into natural English, format per rules. First line: short headline under 90 chars, no markdown. Then blank line, then body split into short paragraphs (2-3 sentences each), separated by blank lines. Wrap few genuinely important facts — key numbers, percentages, drug/company/gene names, dates — in double asterisks. At most 4-5 per post, never a whole sentence. Wrap study/journal citations and publication references in single underscores (e.g., Nature Aging, July 2026). We need to preserve facts, numbers, names, citations exactly. No added commentary. We need to identify important facts to bold: numbers like 31 August, 50 thousand fragments, median correlation 0.774, best human strategy 0.763, four series of 30 rounds, etc. Also maybe "Claude Opus 4.7". Also maybe "MPRAbox". Also "CodonBox". Also "Fibonacci positions". Also "Claude raised score". Also "Claude discovered groups of four". Also maybe "14 hidden made-up rules". Also "14 closed sets". Also "31 August authors posted preprint and code". Need to be selective: at most 4-5 double asterisks. Choose the most important numbers: date (31 August), median correlation 0.774, best human 0.763, 50 thousand DNA fragments, four series of 30 rounds. That's 5. Could also include 14 hidden rules, but that would exceed. We'll stick with 5. We need to ensure we don't bold whole sentences; just wrap the fact. We need to wrap study/journal citations in single underscores. There's no explicit journal citation in the text; it's a preprint. Maybe we can treat "preprint" as not a journal citation. There's no citation like _Nature Aging... So maybe we don't need any underscores. But we could still include if there is a reference like "authors posted preprint". Not a journal citation. So maybe none. We must not add source link. Now produce headline: something like "AI Agents Test Hypotheses in 'Science Sandboxes' with DNA Experiments". Count characters: Let's count: "AI Agents Test Hypot
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We need to translate Russian text into English, format as per rules. First line: short headline under 90 chars, no markdown, no '#'. Then blank line, then body split into short paragraphs (2-3 sentences each), separated by blank lines. Wrap few genuinely important facts — key numbers, percentages, drug/company/gene names, dates — in double asterisks . At most 4-5 per post, never a whole sentence. Wrap study/journal citations and publication references in single underscores (e.g. Nature Aging, July 2026). We need to preserve all facts, numbers, names, citations exactly. Let's extract facts: - Experience on human cells and mice: turning off ALDH3B2 shifted duct cells to β-like state. - September 2 (date) in journal Science Translational Medicine article about how turning off one gene changed part of cells lining pancreatic ducts. - After transplantation of these cells into diabetic mice, glucose level was lower than in animals with control cells. - β-cells of pancreas secrete insulin — hormone regulating blood sugar level. - In diabetes these cells are lacking or insufficient, so their function is attempted to be replenished by donor islets and cells grown from stem cells. - Authors looked for another source: duct cells that pancreas uses to secrete digestive juice. - To find gene that keeps these cells in original state, researchers performed whole-genome CRISPR screening: they turned off different genes one by one and selected cells where insulin gene activity started. - For mass search they used PANC-1 duct cell line, which can be grown in large quantity. - Among eight candidates ALDH3B2 gave in this line the highest insulin gene activity and lowest KRT19 gene, a marker of duct cells. - Then ALDH3B2 was turned off in purified primary human duct cells. - In them activity of β-cell genes increased, insulin granules appeared, and raising glucose caused secretion of human insulin. - In two groups of five diabetic mice each, altered or control cells were transpla
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We need to translate Russian news post into natural English, format per rules. Rules: 1. First line = short headline under 90 chars. No markdown, no '#'. 2. Then blank line, then body split into short paragraphs (2-3 sentences each), separated by blank lines. 3. Wrap few genuinely important facts — key numbers, percentages, drug/company/gene names, dates — in double asterisks . At most 4-5 per post, never a whole sentence. 4. Wrap study/journal citations and publication references in single underscores _ (e.g., Nature Aging, July 2026). We must preserve all facts, numbers, names, citations exactly. No commentary. We need to identify important facts: numbers: 520 genes, 19 programs, 111,003 cells, 20 nearest control cells, 148 people, ages 23 to 91, June analysis (maybe June 2026?), preprint date: 29 August on bioRxiv. Also drug name: venetoclax. Also disease: acute myeloid leukemia. Also method: CRISPRi-Perturb-seq. Also maybe GRP18 program. We need to wrap key numbers etc in . Must be selective: at most 4-5 per post. So choose maybe: 520 genes, 19 programs, 111,003 cells, 148 people, 29 August (date). Or maybe include venetoclax as drug name. But limit to 4-5. Let's pick: 520 genes, 19 programs, 111,003 cells, 148 people, 29 August. That's 5. We must not wrap whole sentences. So embed these within sentences but only the numbers/dates inside . Citations: we have preprint on bioRxiv, maybe also reference to June analysis (maybe a prior study). We need to wrap study/journal citations and publication references in single underscores _. Eg: bioRxiv, 29 August 2026? Actually the preprint date is given: "29 августа на bioRxiv вышел препринт". So we can wrap "bioRxiv, 29 August" maybe. Also mention "июньском разборе" (June analysis) maybe referencing a prior study; we can wrap "June 2026 analysis" but we need to keep exact? The instruction: wrap study/journal citations and publication references in single underscores. So we can put the citation like bioRxiv, 29 A
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Model predicts timing windows for partial cellular reprogramming via OSK(M) On 1 September Matteo Chiarki and Steffen Rudolph posted a theoretical preprint on bioRxiv. In a minimal model and computer simulations, transient activation of OSK(M) — proteins that alter gene activity — produces three distinct outcomes. Epigenetic marks that regulate genes remodel faster than the three‑dimensional packing of DNA in the model. Partial reprogramming should change age‑related gene‑expression signatures while preserving cell identity. The authors linked epigenetic marks to chromatin — DNA with proteins in the nucleus — noting that marks influence chromatin packing and that contacts between distant DNA regions help maintain a similar mark distribution. A short pulse nearly restores the original state; an intermediate duration makes the average mark balance sensitive to small perturbations at the boundary between stable states, while chromatin stays compact and retains long‑range contacts. After OSK(M) is switched off, this network restores mark correlations. A long pulse opens chromatin, reduces long‑range contacts, and erases correlational memory. The authors tested one model prediction using published mouse‑cell data. In embryonic fibroblasts, correlations of the repressive epigenetic mark H3K9me3 decayed more slowly in dense B‑compartments than in open A‑compartments; in embryonic stem cells with weaker chromatin compartmentalization the difference was smaller, qualitatively supporting the model’s link between chromatin compactness and correlation range. In their 2025 preprint Chiarki, Benjamin Simons and Rudolph described three timescales of methylation changes — fast molecular events, intermediate dynamics, and slow transitions — and the new work adds the three‑dimensional shape of chromatin to this framework. They propose measuring chromatin contacts and several epigenetic marks over time during OSK(M) induction. In the model, altering chromatin compactness or the fe
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We need to translate Russian news post into natural English, format per rules. First line: short headline under 90 chars, no markdown. Then blank line, then body split into short paragraphs (2-3 sentences each), separated by blank lines. Wrap few genuinely important facts — key numbers, percentages, drug/company/gene names, dates — in double asterisks. At most 4-5 per post. Wrap study/journal citations and publication references in single underscores. We need to preserve facts, numbers, names, citations exactly. No added commentary. We need to identify important facts: Generation Lab, Michael West, Matt Kaberlain, Alina Su, 1 Generation (injection combination), date: September 1 (Michael West post), September 2 (Alina Su response). Also mention eight people data, one participant anecdote, one blood marker. Also mention pilot study data. Also mention that Generation Lab began assigning 1 Generation to limited group before dispute. Also mention controlled trial design: random allocation, double-blind, placebo. We need to wrap key numbers/dates/names in . For example: Generation Lab, Michael West, Matt Kaberlain, Alina Su, 1 Generation, September 1, September 2, eight people, maybe one blood marker. But limit to 4-5 total. So choose most important: dates, drug name, company name, maybe number of participants. We need to wrap study/journal citations in single underscores. There are none explicit citations like journal names. There's mention of "pilot study". No journal citation. So maybe none. We must not add source link. We need to produce only formatted translation. Let's craft headline: "Experts Call for Controlled Trial to Test Generation Lab's Anti‑Aging Claims". Count characters: let's count: "Experts Call for Controlled Trial to Test Generation Lab's Anti‑Aging Claims". Count: Experts(7) + space=1 =>8, Call(4)=12, space=13, for(3)=16, space=17, Controlled(10)=27, space=28, Trial(5)=33, space=34, to(2)=36, space=37, Test(4)=41, space=42, Generation(10)=52
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We need to translate Russian news post into natural English, format per rules. First line: short headline under 90 chars, no markdown, no '#'. Then blank line, then body split into short paragraphs (2-3 sentences each), separated by blank lines. Wrap few genuinely important facts — key numbers, percentages, drug/company/gene names, dates — in double asterisks . At most 4-5 per post, never a whole sentence. Wrap study/journal citations and publication references in single underscores _ (e.g., Nature Aging, July 2026). We need to preserve all facts, numbers, names, citations exactly. Let's extract facts: - Essay by Jen Pollock Michel about aging links youth cult with fear of becoming a burden. - September 1 writer Jen Pollock Michel published in Christianity Today a review of Jen Wilkin's book "Dust to Dust" about aging and family care. - She traces how desire to look young connects with fear of becoming invisible and needing help. - Michel begins with a photograph of 60-year-old Elizabeth Elliot, taken in 1986. - On the portrait visible gray hair, wrinkles around eyes and folds on neck. - Michel sees these signs of age as what the cosmetic industry has trained us to hide. - Behind anxiety about appearance, she writes, lies fear of losing attractiveness, becoming invisible to others and burdening loved ones. - Wilkin describes human life as a cycle of receiving and giving care: child receives it, adult cares for younger and older, elderly person again receives help. - Such mutual aid links generations and preserves human dignity. - Wilkin formulates it thus: "I want to direct the unearned gift of good health and long years to serving others. I want to relate to my body with reverence, but not make it the highest goal." - To explain this anxiety, Michel recounts Rebecca Konyndyk DeYoung's book on vanity. - DeYoung calls vanity dependence on public approval: fearing its loss, a person tries to hide what they consider their flaw. - In the review, fear of aging is
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We need to translate Russian news post into natural English, format per rules. First line: short headline under 90 chars, no markdown, no '#'. Then blank line, then body split into short paragraphs (2-3 sentences each), separated by blank lines. Wrap few genuinely important facts — key numbers, percentages, drug/company/gene names, dates — in double asterisks. At most 4-5 per post, never a whole sentence. Wrap study/journal citations and publication references in single underscores (e.g. Nature Aging, July 2026). We need to preserve facts, numbers, names, citations exactly. We need to identify key facts: date: 2 September (the experiment date?), article published 2 September in Nature about STV-C8. Actually: "2 сентября в Nature вышла статья о STV-C8". So date: September 2, article in Nature. Also mention STV-C8 protein particle delivering CRISPR-Cas9 to pig muscle, removal of exon 51 in ~40% cases. Also mention that compared to lipid nanoparticles, proportion of cells where delivered RNA worked was >1000-fold higher; required >10,000-fold lower dose. Also mention that in human cell line, STV-C8 gave more test protein than other protein carriers. Also mention that they screened >100 variants. Also mention that they used VSV-G for membrane fusion. Also mention that scaffold is protein assembly of eight identically arranged parts designed by RFdiffusion. Also mention that they chose exon 51 based on pig model of muscular dystrophy, removal of exon 51 restores reading frame. We need to limit double asterisks to at most 4-5 facts. Choose the most important: date (September 2), article in Nature, STV-C8, exon 51 removal ~40%, >1000-fold higher efficiency vs lipid nanoparticles, >10,000-fold lower dose. That's 5 facts. Could also include >100 variants screened, but we need to keep <=5. Let's pick: September 2, Nature article, STV-C8, exon 51 removal ~40%, >1000-fold higher efficiency vs lipid nanoparticles, >10,000-fold lower dose. That's 6 if we count each separat
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We need to translate Russian news into English, format as per rules. First line: short headline under 90 chars, no markdown, no '#'. Then blank line, then body split into short paragraphs (2-3 sentences each), separated by blank lines. Wrap few genuinely important facts — key numbers, percentages, drug/company/gene names, dates — in double asterisks . At most 4-5 per post, never a whole sentence. Wrap study/journal citations and publication references in single underscores _ (e.g., Nature Aging, July 2026). There's no explicit citation in the text, but there is mention of experiment 2023 with rat kidneys. Possibly we can treat that as a citation? It says "Эта химическая проблема уже определяла исход эксперимента 2023 года с почками крыс". That's not a journal citation. No explicit journal. So maybe no underscores needed. But we could still put something like 2023 rat kidney experiment? The rule says wrap study/journal citations and publication references in single underscores. If none, we can skip. We need to preserve all facts, numbers, names, citations exactly. So we need to include dates: 1 September, report published, second quarter, etc. Also numbers: 85%, 50%, 250 thousand molecules, 7,684 new substances, >10 thousand cellular tests, 2,903 formulas, CPA-1042 consists of four components, etc. We need to wrap key numbers, percentages, drug/company/gene names, dates in double asterisks. At most 4-5 per post. So we need to be selective: maybe highlight: September 1, 85%, 50%, 250,000 molecules, 7,684 new substances, >10,000 cellular tests, 2,903 formulas, CPA-1042, VMP, Until Labs. But we can only have 4-5 total. So we need to choose the most important facts: maybe the date of report, the viabilities percentages, the number of molecules screened, the number of new substances tested, and the name CPA-1042. That's 5. We must not wrap whole sentences. So we need to embed the double asterisks around just the fact, not the whole sentence. We need to ensure we d
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We need to translate Russian news into English, format per rules. First line: short headline under 90 chars, no markdown, no '#'. Then blank line, then body split into short paragraphs (2-3 sentences each), separated by blank lines. Wrap few genuinely important facts — key numbers, percentages, drug/company/gene names, dates — in double asterisks. At most 4-5 per post, never a whole sentence. Wrap study/journal citations and publication references in single underscores (e.g., Nature Aging, July 2026). There's no explicit citation in the text; maybe none. So we may not need underscores unless we infer a citation? The text doesn't mention a journal. So we likely won't use underscores. We need to preserve facts, numbers, names, etc. The text mentions: "мю-опиоидных рецепторов (mu opioid receptors)", "синее пятно (locus coeruleus)", "мышей", etc. No numbers except maybe "миллионы взрослых людей". That's a number: millions. Should we wrap "миллионы" in double asterisks? It's a key number. Also maybe "мю-опиоидных рецепторов" is a name; could be wrapped. But we need at most 4-5 double asterisks. Let's select: millions of adults, mu opioid receptors, locus coeruleus, maybe neuropathic pain? Not a number. Could also include "chronic neuropathic pain". But we need to be selective. We need to avoid wrapping whole sentences. So we wrap only the specific phrase. Let's craft headline: something like "Brain's 'Brake' Switch Could Turn Off Chronic Neuropathic Pain". Count characters: Let's count: "Brain's 'Brake' Switch Could Turn Off Chronic Neuropathic Pain". Count: Brain's (6 inc apostrophe?), actually let's count precisely: B(1) r2 a3 i4 n5 '6 s7 space8 '9 B10 r11 a12 k13 e14 '15 space16 S17 w18 i19 t20 c21 h22 space23 C24 o25 u26 l27 d28 space29 T30 u31 r32 n33 space34 O35 f36 f37 space38 C39 h40 r41 o42 n43 i44 c45 space46 N47 e48 u49 r50 o51 p52 a53 t54 h55 i56 c57 space58 P59 a60 i61 n62. That's 62 characters. Good under 90. Now body paragraphs. We need to split
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Non‑Invasive Sensors Could Monitor 3D‑Printed Organs in Real Time Currently, assessing the health of 3D‑printed organs and implant engraftment requires injections, biopsies, and blood draws—in other words, damaging the body's cells. Researchers have been asking whether this invasiveness can be avoided and replaced with non‑invasive methods. One promising approach mixes phosphorescent micro‑particles directly into the bio‑ink before printing. These microscopic sensors respond to oxygen levels and are linked to special enzymes. When an ordinary red LED shines through the skin, the particles absorb photons and instantly emit an optical signal whose parameters shift with the surrounding glucose, lactate, and nutrient concentrations. The entire chemical diagnosis occurs in just milliseconds. For people with diabetes or kidney failure, this means a tiny implant smaller than a grain of rice can be placed under the skin and read out with a regular smartphone. In transplantation, it offers a direct path to creating and safely engrafting full‑size bioprinted hearts and kidneys, whose condition doctors could monitor in real time. 🔗 Read original →
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We need to translate Russian news post into English, format: first line headline under 90 chars, no markdown, then blank line, then body split into short paragraphs (2-3 sentences each) separated by blank lines. Wrap few genuinely important facts — key numbers, percentages, drug/company/gene names, dates — in double asterisks. At most 4-5 per post. Wrap study/journal citations and publication references in single underscores. We need to preserve facts, numbers, names, citations exactly. No added commentary. Identify important facts: dates: 31 августа (August 31). Possibly year? Not given. Could be 2024? Not specified. We'll keep "31 августа". Could wrap date in double asterisks? It's a date. Also maybe "80,000 Hours". That's an organization name. Could be considered important fact. Also "JKM". Also "Will MacAskill". Also "Better Futures". Also "EA Forum". Also "effective altruism". But we need at most 4-5 double asterisks. Choose: date (31 августа), organization 80,000 Hours, Will MacAskill, Better Futures, maybe EA Forum? But we need to be selective. We also need to wrap study/journal citations in single underscores. There are none explicit like "Nature Aging, July 2026". The text mentions no journal citations. So we may not need underscores. Thus we will put double asterisks around: 31 августа, 80,000 Hours, Will MacAskill, Better Futures, maybe EA Forum? That's 5. Ensure not more than 5. Now produce headline under 90 chars: maybe "EA Forum Essay Urges Considering Welfare of Future Digital Minds". Count characters: Let's count: "EA Forum Essay Urges Considering Welfare of Future Digital Minds". That's 61? Let's count: EA(2) + space=3, Forum=5 =>8, space=9, Essay=4 =>13, space=14, Urges=5 =>19, space=20, Considering=10 =>30, space=31, Welfare=7 =>38, space=39, of=2 =>41, space=42, Future=6 =>48, space=49, Digital=7 =>56, space=57, Minds=5 =>62. Under 90. Now body: need short paragraphs 2-3 sentences each, separated by blank lines. We'll translate the Russian
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Michael West Discusses Growth Hormone Supplements and Age‑Dependent IGF‑1 Risks Michael West raised the question of whether growth hormone and IGF‑1 supplements slow, reverse, or accelerate aging, citing an observational analysis of 440,185 participants from the UK Biobank project. The study found that baseline IGF‑1 levels were linked to future disease and mortality in a U‑shaped, age‑dependent pattern, with the discussion posted on 2 сентября. Growth hormone exerts much of its effect through IGF‑1, a protein that participates in tissue growth and development. West argues that supplements of growth hormone and IGF‑1 actually speed up the overall aging process. The the 2021 article examined contradictory early findings: in younger cohorts high IGF‑1 was associated with better outcomes, whereas in older cohorts it was linked to worse outcomes. Researchers tested whether age changes the direction of this association by measuring IGF‑1 at baseline, relating it to later disease and death, and then repeating the comparison within age‑specific groups. For mortality, dementia, diabetes, vascular disease, and osteoporosis the association was U‑shaped: individuals with the lowest and highest IGF‑1 levels had higher risk than those with mid‑range levels. In contrast, for cancer higher IGF‑1 overall correlated with greater incidence of new cases. In younger age groups high IGF‑1 was tied to lower risk for several outcomes; with advancing age this protective link weakened, and high IGF‑1 levels became adverse for multiple outcomes. In experiments on old mice, IGF‑1 derived from young blood helped restore the protective blood‑brain barrier. The UK Biobank authors measured natural IGF‑1 levels in participants and later matched them to occurring diseases and deaths, while the mouse study altered the signal in specific tissue. They interpreted the pattern as an example of antagonistic pleiotropy—a trait that supports growth and development early in life may later co
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We need to translate Russian news post into natural English, format: first line short headline under 90 chars, no markdown. Then blank line, then body split into short paragraphs (2-3 sentences each), separated by blank lines. Wrap few genuinely important facts — key numbers, percentages, drug/company/gene names, dates — in double asterisks. At most 4-5 per post, never a whole sentence. Wrap study/journal citations and publication references in single underscores (e.g., Nature Aging, July 2026). We need to preserve facts, numbers, names, citations exactly. No commentary. No source link. We need to identify important facts: Michael West, date September 2 (maybe year unspecified). He is aging researcher. He gave hypothesis. He had childhood anecdote with father. He studied senescent cells, SASP, proteases, plasminogen activators, plasmin, metalloproteinases, elastin. He mentions cutis laxa in 16-year-old girl. He references Nature Aging comment about aging matrix. He references review about skin aging. He suggests testing hypothesis by comparing SASP composition, protease activity, matrix state, tissue properties. We need to wrap key numbers, percentages, drug/company/gene names, dates in double asterisks. So we need to decide which are key: date "2 сентября" (September 2) maybe year not given; we can treat as date. Also "16-летней девушки" (16-year-old girl). Also maybe "SASP" is an acronym but not a number. "proteases", "plasminogen activators", "plasmin", "metalloproteinases", "elastin". Those are names but not numbers. The rule says wrap key numbers, percentages, drug/company/gene names, dates. So gene/protein names could be considered? It says drug/company/gene names. So we could wrap gene/protein names like elastin, plasmin, plasminogen activators, metalloproteinases, SASP? SASP is not a gene but a phenotype. Might be okay to wrap some. We need at most 4-5 double asterisk wraps. So we need to be selective. Choose maybe: September 2, 16-year-old girl, elastin
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Tahoe-100M atlas shows limited gain from complex models over simple average drug effect On September 1 a preprint appeared describing the Tahoe-100M atlas, which measures how drugs alter gene activity in cells. The author asked whether a cancer cell line’s baseline gene‑expression profile could predict its response to a given compound. Six models barely outperformed a simple forecast based on the drug’s average effect; the best added only 0.004 R² to that baseline for the contextual response. The atlas covers 47 cancer cell lines and 377 drugs at 5 µM. For 107 drugs the median similarity between replicates was 0.067, with only four exceeding 0.2, indicating low repeatability that constrains predictive power for new lines. Among five drugs with repeatability above 0.15, one model achieved an average R² +0.058 using the baseline profile, and in three of those cases it surpassed the simple average‑effect prediction. The benchmark evaluates both model quality and measurement stability, pairing repeatability with R² to separate a true contextual signal from experimental noise. 🔗 Read original →
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