Reposted by Rasmus AagaardNobodyWho @nobodywhooo.bsky.social · 29/09/2026NobodyWho in 25 seconds 🎬 Run open-weight AI models fully offline: 💬 Text generation 🖼️ Image + audio ingestion 🔊 STT, TTS & VAD 🔎 Embeddings & RAG Python, Flutter, RN/Expo, Swift, Kotlin, Godot... No cloud. No API keys. Open source. docs.nobodywho.ooo 021
Reposted by Rasmus AagaardRotten Tomatoes @rottentomatoes.com · 23/09/2026All-new trailer for Nathan Fielder and Lance Oppenheim's 'You Can See Everything.' The Elizabeth Holmes documentary is in theaters on October 16. 3241592
Rasmus Aagaard @rasgaard.com · 22/09/2026As I'm approaching the end of my 1st year as a PhD student I'm struggling a bit with how coding agents affect my learning. In that light I found Tim Dettmers' new post very good and inspiring! "Let go of how you work. Not who you are." timdettmers.com/2026/09/21/d... 010
Reposted by Rasmus AagaardKenneth Nørgaard @kennethnrgaard.bsky.social · 12/09/2026Kan vi blive gladere af at forbruge mindre? Seniorforsker Toke Haunstrup mener, at nøjsomhed kan være en vej til både større trivsel og et mindre pres på kloden.dr.dkKan vi blive gladere af at forbruge mindre? Det mener forskerSeniorforsker Toke Haunstrup mener, at nøjsomhed kan være en vej til både større trivsel og et mindre pres på kloden. 10483
Reposted by Rasmus AagaardSimon Eiriksson @simoneiriksson.bsky.social · 24/08/2026Happy to announce the sixth session in Copenhagen Advanced Machine Learning Study Group (CAMeLS-Group 🐪). If you live in Copenhagen you are welcome to drop by and read the magnificent paper Bayesian Learning via Stochastic Gradient Langevin Dynamics by Max Welling and friends. luma.com/mhattbxqluma.comCAMeLS-Group: sixth session in Copenhagen Advanced Machine Learning Study Group · LumaWelcome to the sixth instalment of the Copenhagen Advanced Machine Learning Study Group (CAMeLS-Group). We meet every second Monday to read and discuss a… 041
Rasmus Aagaard @rasgaard.com · 16/08/2026Presented our work on layer pruning of the Whisper encoder. We show that if we’re careful about which layers we prune away, we can remove 6 (18.5%) of them without major performance drops and even recover performance through simple distillation. 020
Rasmus Aagaard @rasgaard.com · 16/08/2026Was at @ijcai.org yesterday for the GLOW workshop glow-ijcai-2026.github.io/glow-ijcai-2... :) 160
Rasmus Aagaard @rasgaard.com · 14/08/2026Had a really good time at the Danish Data Science Academy's Pre-Graduate retreat :) Was invited to participate in a panel discussion about the different ways of doing a PhD, representing the industrial PhD programme. Can highly recommend it if you’re a MSc student!ddsa.dkDDSA Pre-Graduate Retreat 2026Are you a bachelor’s- or master’s student with data science as a key component of your study programme? Would you like to know more about pursuing a PhD in data science? 030
Rasmus Aagaard @rasgaard.com · 14/08/2026Maybe @kasperjunge.bsky.social has thoughts on this or seen something out there in the wild? 👀 120
Rasmus Aagaard @rasgaard.com · 13/08/2026Any examples of orgs creating an internal SWE-bench? Curious about having ways to measure when local models reach a “good enough”-stage to be viable of x% of relevant coding tasks and this seems to be a promising way to communicate capabilities internally 362
Rasmus Aagaard @rasgaard.com · 06/08/2026Vidste at Zuck ikke kunne holde sig væk fra det nye hotteste benchmark 🚀 www.felonybench.comfelonybench.comFelony Bench: which lab is on track to end the world?Felony Bench is the most important benchmark of our time, tracking the count of questionable decisions made by AI models. Is it a good thing? Bad thing? Who knows? We're all living in an LLM's world. 130
Reposted by Rasmus AagaardKenneth Enevoldsen @kennethenevoldsen.eurosky.social · 05/08/2026Embedding models keep getting cheaper - what required ~300M parameters three years ago now requires only 11M. In practice, that means that what runs on the server today could run in the browser tomorrow. 0222
Reposted by Rasmus AagaardTima Kunayev @dj.kz · 04/08/2026Me and my agents, just out of frame, are having fun in this harness, laughing 0251
Reposted by Rasmus AagaardNobodyWho @nobodywhooo.bsky.social · 03/08/2026NobodyWho Chat is live on iOS & Android! 🥳 A fully offline AI assistant. No internet, no accounts, no cloud. Run #Gemma, #Ministral, #Granite, #LFM, #Qwen and more, entirely on your device. Vision and hearing support included. Fully open-source. Links in comments 👇 222
Rasmus Aagaard @rasgaard.com · 02/08/2026It’s short for dynamic so dyna would make way more sense. I have found that climbers have a curious way of naming things:) 110
Rasmus Aagaard @rasgaard.com · 02/08/2026I guess my account is now dedicated to posting my latest dyno #bouldering 130
Rasmus Aagaard @rasgaard.com · 31/07/2026That first move took about a million attempts #bouldering 040
Rasmus Aagaard @rasgaard.com · 20/07/2026Probably my hardest climb so far. Super stoked:) Guess the grade? 🧐 #bouldering 020
Rasmus Aagaard @rasgaard.com · 20/07/2026Jeg kan anbefale Radio4s podcastserie “Magtfuld” for at få et hurtigt indblik :) Biografien The Contrarian af Max Chafkin er også god. radio4.dk/podcasts/mag...radio4.dkMagtfuld - Peter Thiel (1:4) - Dungeon MasterDen stenrige tekno-kapitalist og kongemager Peter Thiel er en af de mest indflydelsesrige folk omkring Trump regeringen. Han vokser op præget af stren 270
Reposted by Rasmus AagaardAi2 @ai2.bsky.social · 02/07/2026The Danish Foundation Models (DFM) project is adapting our modular FlexOlmo architecture into a lighter-weight system that runs on commodity hardware—putting collaborative model building within reach of smaller research groups & organizations. 🧵 1329
Rasmus Aagaard @rasgaard.com · 18/06/2026Got an extended abstract paper accepted at the GLOW workshop at IJCAI :) Turns out you can just delete 6 layers from the Whisper encoder and it doesn’t hurt transcription performance all that much (but you have to be pretty specific about which layers) 040
Reposted by Rasmus AagaardVicki @vickiboykis.com · 15/06/2026new post: how I develop recently using local models. the tooling is now good enough to do agentic workflows and everyone should give them a try! vickiboykis.com/2026/06/15/r...vickiboykis.comRunning local models is good nowLocal agentic coding has gotten great over the past few months 1825737
Reposted by Rasmus AagaardVicki @vickiboykis.com · 11/06/2026The machine learning circle of life 2868
Reposted by Rasmus AagaardGergely Orosz @gergely.pragmaticengineer.com · 10/06/2026Seeing how SOTA models are evolving: becoming more restrictive in usage (decided by the company), less transparent (you cannot tell if the AI lab nerfed your model) + less private (your prompts are stored, no opt out) makes me much more interested in open models + local inference 1119027
Reposted by Rasmus AagaardPolitiken @politiken.dk · 07/06/2026Magtudredningen: De sociale medier udfordrer demokratiet - og politikerne er medskyldigepolitiken.dkMagtudredningen: De sociale medier udfordrer demokratiet - og politikerne er medskyldige 062
Reposted by Rasmus Aagaardstellz @piss.beauty · 05/06/2026getting your weights quantized probably feels amazing for the larger model 6984
Reposted by Rasmus Aagaardmr. TIM @timkellogg.me · 05/06/2026new QAT quants are available now if you want to run Gemma 4 12B in only 6.7 GiB VRAM blog.google/innovation-a...blog.googleGemma 4 QAT models: Optimizing model compression for mobile and laptop efficiencyWe’re releasing Gemma 4 quantization-aware training checkpoints, reducing memory requirements and improving on-device performance. 4698
Rasmus Aagaard @rasgaard.com · 30/05/2026youtube.com/watch?v=f2i0...youtube.comHow schools are using AI and VR to train the next generation of nursesYouTube video by PBS NewsHour 000
Reposted by Rasmus AagaardVicki @vickiboykis.com · 30/05/2026Very strongly recommend breaking out of the token discourse and touching grass from time to time to maintain a grip on reality 7583
Reposted by Rasmus AagaardVicki @vickiboykis.com · 11/05/2026Legitimately feels like an unquantifiable vibe shift the last few weeks where the pendulum is swinging back to reasonable takes and people experimenting with model choice 🙏 51173
Reposted by Rasmus AagaardNobodyWho @nobodywhooo.bsky.social · 27/04/2026Today we're announcing our #ReactNative bindings for NobodyWho! 🎉 Run #LLM models offline in your #react apps for #Android and #iOS. No internet. No API keys. No usage fees. Fully open-source. www.nobodywho.ai/posts/announ... 051
Reposted by Rasmus Aagaardé. @urcad.es · 18/04/2026We've recently implemented the fastest static embedding model in the world by an insanely large margin Read on for additional info ↓ 3775
Rasmus Aagaard @rasgaard.com · 15/04/2026Researchers identifies "Super Weights" which are at most a handful of weights (amongst billions!). Models end up generating complete gibberish if these weights are removed, underlining the brittleness of LLMs and importance and careful consideration of outlier features. arxiv.org/pdf/2411.07191 2172
Reposted by Rasmus AagaardEugene Vinitsky 🍒 @eugenevinitsky.bsky.social · 15/03/2026For a recent lab meeting, I wrote up a grab bag of ways to think about your development as a researcher during a PhD: emerge-lab.github.io/papers/an-un... Sharing in case folks find it useful or have feedback!emerge-lab.github.io 610112
Reposted by Rasmus AagaardSung Kim @sungkim.bsky.social · 17/03/2026Flash-KMeans An IO-aware implementation of exact k-means that rethinks the algorithm around modern GPU bottlenecks. Flash-KMeans achieves 30x speedup over cuML and 200x speedup over FAISS. Paper: arxiv.org/abs/2603.09229 Code: github.com/svg-project/... 0296
Reposted by Rasmus AagaardVidenskab.dk @videnskab.dk · 11/03/2026AI i valgkampen: Hjælper det kandidater, eller skræmmer det vælgerne væk? #dkvid #dkforskvidenskab.dkAI i valgkampen: Hjælper det kandidater, eller skræmmer det vælgerne væk?Når politikere bruger kunstig intelligens, kan det svække deres troværdighed og skabe større afstand til vælgerne. 254
Rasmus Aagaard @rasgaard.com · 25/02/2026Together with fellow ddsc.io members I helped a bit with this piece on @ing.dk :)pro.ing.dkOpen source er en strategisk nødvendighed i AI: Sådan kommer vi med i kapløbet | DataTechPå tværs af it-branchen spiller open source software en fundamental rolle for både offentlige og private løsninger. Dette gør sig også gældende i AI-verdenen.Transformer-arkitekturen, grundstenen i nu... 040
Reposted by Rasmus AagaardAlexander Doria @dorialexander.bsky.social · 23/02/2026First blogpost of my cofounder post-Delhi on the deafening silence of public/political sphere as we come closer to another industrial revolution. anastasiastasenko.substack.com/p/the-countr... 37219
Rasmus Aagaard @rasgaard.com · 23/02/2026Strongly agree! Sounds like a fantastic idea for a special course :) Maybe you can take inspiration from Danoliterate danoliterate.compute.dtu.dk which was a master's project at DTUdanoliterate.compute.dtu.dkThe Danoliterate Generative Large Language Model Benchmark 130
Rasmus Aagaard @rasgaard.com · 20/02/2026Helt klart. Der er stadig tonsvis af quirks. Jeg er mest begejstret for tendensen der bliver vist. At software og hardware begge udvikler sig i retning af at lokal inference bliver konkurrencedygtigt ift. cloud. 000
Rasmus Aagaard @rasgaard.com · 20/02/2026LLM cloud inference dominates usage, but should it? Local models and accelerators have improved massively over recent years. Perfect routing to best local model "reduce energy consumption by 80.4%, compute by 77.3%, and cost by 73.8% versus cloud-only deployment" arxiv.org/pdf/2511.07885 393
Reposted by Rasmus AagaardCohere Labs @cohereforai.bsky.social · 17/02/2026Introducing ✨Tiny Aya✨, a family of massively multilingual small language models built to run where people actually are. Tiny Aya delivers strong multilingual performance in 70+ global languages in a 3.35B parameter model, efficient enough to run locally, even on a phone. 29615
Rasmus Aagaard @rasgaard.com · 18/02/2026Excited to be in fantastic company amongst the speakers for IDA Driving AI 2026 :) ida.dk/driving-ai/t... 150
Rasmus Aagaard @rasgaard.com · 17/02/2026The paper suggests that poor reasoning abilities is one failure mode that comes from removing deeper layers. But yeah, wonder what else unexpectedly takes a hit 020
Rasmus Aagaard @rasgaard.com · 16/02/2026Due to residual structures in Transformer-models it's possible that many layers contribute very little to the downstream performance of the network, allowing for removal those redundant layers with little impact. openreview.net/pdf/72eeca23... 0122
Rasmus Aagaard @rasgaard.com · 10/02/2026Local AI inference through the browser is great. Transformers.js makes it feasible for someone like me who has little web dev experience :) Here's a simple transcription tool using Whisper-large-v3-turbo, making use of your local hardware and ensuring privacy. rasgaard.com/webai-stuff/... 031
Reposted by Rasmus AagaardYusuf @yusufimaadkhan.com · 08/02/2026ofc there's already a python plotting library for this sort of thing github.com/jndean/LossR...github.comGitHub - jndean/LossRider: A plotting tool that outputs Line Rider maps, so you can watch a man on a sled scoot down your loss curves. 🎿A plotting tool that outputs Line Rider maps, so you can watch a man on a sled scoot down your loss curves. 🎿 - jndean/LossRider 274
Reposted by Rasmus AagaardBethankit Hums @tangibullah.bsky.social · 05/02/2026This is crazy: youtu.be/v81b0XllvgIyoutu.beThis bullshit has been going on for generations. A 1996 Simpsons episode tried to teach us.YouTube video by Gangstagrass 14374128