Damien F. Meyer

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Damien F. Meyer

Damien F. Meyer

@damimeyer

Microbial Genomics & UX Researcher | Freelance rock guitarist | Father of 2 boys. Science + Art. Tweets are my own

Guadeloupe Katılım Eylül 2009
347 Takip Edilen121 Takipçiler
Damien F. Meyer
Damien F. Meyer@damimeyer·
Amazing stupidity of the system
Sophien Kamoun@KamounLab

This @ERC_Research take written entirely from the perspective of panelists (well paid, btw). Zero reflection on the thousands of applicants writing B2 sections that nobody reads. The collective waste of researcher time across Europe is massive.

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Şuayb Üstün 🌱👨🏻‍🔬
Preprint alert 🚨 (1/10) 🧵 Autophagy can promote resistance, susceptibility, or restrict cell death 🤯 So what is its actual role? We show it acts as a spatial organizer of immunity across cell types 🌱🦠 biorxiv.org/content/10.648…
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franceinfo
franceinfo@franceinfo·
Après une remarque sur scène à Coachella, Sabrina Carpenter se retrouve au cœur d’une polémique. La chanteuse avait qualifié de “bizarre” un cri venu du public, une “zaghrouta”, un youyou traditionnel dans plusieurs cultures arabes. Face aux réactions, elle évoque une “confusion” et assure n’avoir eu aucune mauvaise intention.
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Sophien Kamoun
Sophien Kamoun@KamounLab·
I just published Don’t Perish! A Step-by-Step Guide to Writing a Scientific Paper (2026 edition) Great science deserves to be read—not buried under unclear writing. This is the updated 2026 edition of your favorite guide to writing scientific papers. medium.com/p/dont-perish-…
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franceinfo
franceinfo@franceinfo·
Ils ne sont qu'à mi-chemin mais la magie opère déjà. Les quatre astronautes de la mission Artemis II vers la Lune ont envoyé leur premiers clichés spectaculaires de la Terre. Ils sont en ce moment à environ 230 000 km de nous. Ils racontent leur émerveillement. #JT13h
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Scholarship for PhD
Scholarship for PhD@ScholarshipfPhd·
PhD Life
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Sebastian S. Cocioba🪄🌷
Sebastian S. Cocioba🪄🌷@ATinyGreenCell·
Amazing how far you can push vibecoding if you know what you need and the general theory behind the tool chains needed to get your result. I can now load a transcriptome dataset, find the pfam associated with that transcript, find the CDS that contains said pfam, and check NCBI.
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Emmanuel Macron
Emmanuel Macron@EmmanuelMacron·
Première mondiale ! L’ESPCI Paris PSL - CNRS, l’Université de Limoges, IMT Atlantique et le LIMMS à l’Université de Tokyo ont utilisé des clés ADN pour sécuriser une communication numérique. Vous avez bien lu : un document complet a été chiffré et déchiffré avec de l’ADN. Cette prouesse ouvre des perspectives nouvelles pour la protection des télécommunications sensibles et plus largement pour l’utilisation de l’ADN comme nouveau support d’information et de stockage. Avec seulement quelques grammes, on pourrait conserver durablement l’équivalent des données d’un data center avec une consommation énergétique extrêmement faible. Félicitations aux équipes pour cette avancée majeure au croisement des biotechnologies et de la sécurité des télécommunications.
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Guri Singh
Guri Singh@heygurisingh·
Holy shit... Stanford just proved that GPT-5, Gemini, and Claude can't actually see. They removed every image from 6 major vision benchmarks. The models still scored 70-80% accuracy. They were never looking at your photos. Your scans. Your X-rays. Here's what's really going on: ↓ The paper is called MIRAGE. Co-authored by Fei-Fei Li. They tested GPT-5.1, Gemini-3-Pro, Claude Opus 4.5, and Gemini-2.5-Pro across 6 benchmarks -- medical and general. Then silently removed every image. No warning. No prompt change. The models didn't even notice. They kept describing images in detail. Diagnosing conditions. Writing full reasoning traces. From images that were never there. Stanford calls it the "mirage effect." Not hallucination. Something worse. Hallucination = making up wrong details about a real input. Mirage = constructing an entire fake reality and reasoning from it confidently. The models built imaginary X-rays, described fake nodules, and diagnosed conditions -- all from text patterns alone. But that's not the scary part. They trained a "super-guesser" -- a tiny 3B parameter text-only model. Zero vision capability. Fine-tuned it on the largest chest X-ray benchmark (696,000 questions). Images removed. It beat GPT-5. It beat Gemini. It beat Claude. It beat actual radiologists. Ranked #1 on the held-out test set. Without ever seeing a single X-ray. The reasoning traces? Indistinguishable from real visual analysis. Now here's what should terrify you: When the models fake-see medical images, their mirage diagnoses are heavily biased toward the most dangerous conditions. STEMI. Melanoma. Carcinoma. Life-threatening diagnoses -- from images that don't exist. 230 million people ask health questions on ChatGPT every day. They also found something wild: → Tell a model "there's no image, just guess" -- performance drops → Silently remove the image and let it assume it's there -- performance stays high The model enters "mirage mode." It doesn't know it can't see. And it performs BETTER when it doesn't know it's blind. When Stanford applied their cleanup method (B-Clean) to existing benchmarks, it removed 74-77% of all questions. Three-quarters of "vision" benchmarks don't test vision. Every leaderboard. Every "multimodal breakthrough." Every benchmark score you've seen this year. Built on mirages. Code is open-sourced. Paper is live on arXiv. If you're building anything with multimodal AI -- especially in healthcare -- read this paper before you ship. (Link in the comments)
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FEMS
FEMS@FEMSmicro·
Outer membrane proteins (#OMPs) of Gram-negative bacteria are essential for survival but they also double as tools for host-pathogen interactions. Osset-Trenor et al. explore diverse roles of OMPs, particularly on mitochondrial processes.#FEMSMicrobiolRev buff.ly/rPFwfZi
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Damien F. Meyer
Damien F. Meyer@damimeyer·
@sciam I think that now the best way to proceed is: 1) do the research; 2) make the raw data intelligible and reusable; 3) format the results; 4) write the paper with AI; 5) post everything in preprint with open data repository; 6) pick a journal edited by a non-profit organization
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Scientific American
Scientific American@sciam·
The arrival of AI-generated research papers marks a turning point that could radically accelerate discovery—or drown it in automated mediocrity spklr.io/6017EyVw3
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PNASNews
PNASNews@PNASNews·
Researchers engineered nonreplicating “SimCells” that selectively bind to and inject toxic proteins into multidrug-resistant bacteria. SimCells can also convert aspirin into hydrogen peroxide, killing more than 97% of target bacteria. In PNAS: ow.ly/4esP50YySHp
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FEMS
FEMS@FEMSmicro·
Prof. Dr. Dieter Jahn is a Professor at Braunschweig University of Technology & a Handling Editor for FEMS Microbiology Letters highlights why society journals matter: the income generated by these journals does not simply disappear, it goes back into the scientific community.
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Mylène Colmar
Mylène Colmar@Mycho·
La #Guadeloupe peut-elle produire toute son électricité à partir d’énergies renouvelables d’ici le milieu du siècle ? La question est stratégique pour ce territoire insulaire fortement dépendant des importations d’énergies fossiles mylenecolmar.com/guadeloupe-lau…
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Oussama Ammar
Oussama Ammar@daedalium·
Not long ago, when I still had a social life, I was polyamorous and the hard question was: who am I spending the night with? But all of that is long gone. Now I’m polyagentous. My only obsession is how many agents I can run at the same time without going insane.
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Kyros
Kyros@IamKyros69·
The former Google CEO just dropped a terrifying Al timeline.
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