Axel Mosig @axlmsg.bsky.social · 04/09/2026Just quit from using Apple Mail, and have to say: what a relief! Apple Mail has become so clunky over the years that even a mediocre webmail client feels so smooth and functional. 000
Reposted by Axel MosigPeter Godfrey-Smith @petergs.bsky.social · 24/05/2026Plans for next year. Bochum, Germany. 1507
Reposted by Axel MosigAyla Taylor @aylataylor.bsky.social · 03/03/2026A silly little comic based on the opening section of AI Snake Oil by @randomwalker.bsky.social and @sayash.bsky.social. 13114
Axel Mosig @axlmsg.bsky.social · 02/03/2026Let me know when the T-shirt is available, I will order five pieces right away. 010
Axel Mosig @axlmsg.bsky.social · 13/01/2026youtu.be/lT6WU-1S96U?...youtu.beZen Browser: The One You’ve Always WantedYouTube video by SuperUser Tech 000
Axel Mosig @axlmsg.bsky.social · 13/01/2026zen-browser.appzen-browser.appZen BrowserBeautifully designed, privacy-focused, and packed with features. 100
Axel Mosig @axlmsg.bsky.social · 13/01/2026😅 Switching to Zen browser (vertical tabs+different contexts) was a life changing experience for me and reduced my open tab count by at least 80% 210
Reposted by Axel Mosigj m gabriel, a circus of faults and vices @jmgabriel.bsky.social · 06/10/2025Everyone should watch this 2158
Axel Mosig @axlmsg.bsky.social · 14/09/2025In this sense, "putting on the evolutionary pair of glasses" is nothing else but to account for the inevitable theory-ladenness of observation. There seems in fact no good reason to assume why machine learning should be exempt from theory-ladenness, which is one way to read the NFL theorems. 000
Axel Mosig @axlmsg.bsky.social · 14/09/2025A #philscy perspective on our work: As machine learning is underdetermined (following the no-free-lunch theorems), the training process has little chance to infer an internal representation that is phylogenetically plausible - unless we introduce explicit inductive bias. 100
Axel Mosig @axlmsg.bsky.social · 14/09/2025...in particular, we can consider the splits diagrams of all quartets of taxa and train the neural network so that the splits diagrams for all quartets degenerate to trees. 000
Axel Mosig @axlmsg.bsky.social · 14/09/2025If we pass a (knwon and well-established) phylogenetic tree to the training process of the neural network, we can utilize mathematical structures behind evolutionary distances... 100
Axel Mosig @axlmsg.bsky.social · 14/09/2025As has been observed by other authors before, the internal representations of neural networks are usually incompatible with known phylogenies. So, how could a neural network learn to infer features that are evolutionarily plausible? 110
Axel Mosig @axlmsg.bsky.social · 14/09/2025Link to the full paper: www.sciencedirect.com/science/arti...sciencedirect.comA quartet-based approach for inferring phylogenetically informative features from genomic and phenomic dataNeural networks are widely used in bioinformatics to extract features from morphological, structural, and sequence data of different taxa. A key quest… 010
Axel Mosig @axlmsg.bsky.social · 14/09/2025We found AI to be a bit short-sighted towards evolution, so we went out to grind some computational lenses. The resulting pair of evolutionary glasses is finally available in the latest issue of CSBJ news.rub.de/english/pres...news.rub.deEquipping Artificial Intelligence with the Lense of EvolutionRandom patterns have so far obscured AI’s view of evolutionary relationships. A team in Bochum is teaching them how to go about this. 300
Reposted by Axel MosigJeremy Berg @jeremymberg.bsky.social · 18/08/2025New post about Lysenko and Bhattacharya from @angierasmussen.bsky.social open.substack.com/pub/rasmusse...open.substack.comBhattacharya is the New LysenkoStarving the NIH through ineptitude, bitterness, and thirst for revenge 923888
Axel Mosig @axlmsg.bsky.social · 13/08/2025In Henk de Regt’s book on Understanding Scientific Understanding, skill takes center stage for understanding as a primary goal of science. 120
Reposted by Axel MosigEric Topol @erictopol.bsky.social · 10/04/2025"Science in the US is entering a phase resembling the Lysenko era in the Soviet Union." www.theguardian.com/commentisfre...theguardian.comWe are witnessing the destruction of science in America | Paul Darren BieniaszIf we stay on this administration’s course, future life-saving medicines may never be invented 13483218
Axel Mosig @axlmsg.bsky.social · 16/03/2025Almost like it was written for the world these days... the "Final Speech" by Charly Chaplin's hairdresser and dictator-by-coincidence Hynkel. youtu.be/J7GY1Xg6X20?...youtu.beCharlie Chaplin - Final Speech from The Great DictatorYouTube video by Charlie Chaplin 000
Reposted by Axel MosigAI x Bio Discovery @aixbiobot.bsky.social · 17/01/2025Large Language Model is Secretly a Protein Sequence Optimizer [new] LLMs, surprisingly, can optimize protein sequences via directed evolution, even without explicit protein training data, finding high fitness variants. 011
Reposted by Axel MosigSean Carroll @seanmcarroll.bsky.social · 14/01/2025I donated. It would be great to have a social-media protocol that wasn't subject to capture, and it does seem possible. freeourfeeds.comfreeourfeeds.comFree Our FeedsLet's take social media away from billionaire capture. 412225
Axel Mosig @axlmsg.bsky.social · 12/01/2025…and most importantly: Calculators could actually *do* arithmetic, and did not imitate the process of doing arithmetic. 000
Axel Mosig @axlmsg.bsky.social · 05/01/2025There is also the "classical" paper by Zech et al. which identifies potential shortcuts in pneumonia detection (see e.g. Fig. 2) journals.plos.org/plosmedicine...journals.plos.orgVariable generalization performance of a deep learning model to detect pneumonia in chest radiographs: A cross-sectional studyEric Oermann and colleagues ask whether a DL-based model for pneumonia detection performs well in external validation and consider the effects of hospital system–specific biases. 010
Axel Mosig @axlmsg.bsky.social · 05/01/2025AI predicts beer consumption from knee x-rays www.nature.com/articles/s41...nature.comThe risk of shortcutting in deep learning algorithms for medical imaging research - Scientific ReportsScientific Reports - The risk of shortcutting in deep learning algorithms for medical imaging research 110
Reposted by Axel MosigDr Abeba Birhane @abeba.blacksky.app · 12/12/2024"Researchers trained medical AI models on over 25,000 knee X-rays. They then essentially worked backwards, tasking the deep learning programs to find commonalities that predicted nonsensical traits, such as which knee-owners clearly drank beer or ate refried beans—which is patently absurd." 612049
Axel Mosig @axlmsg.bsky.social · 19/11/2024cdn.bsky.app/img/feed_thu... Here's what we've been missing in the meantime. Better tell the owner of the "Hammer of Justice" not to hit his own thumb. 000
