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Rasmus Aagaard

@rasgaard.com
399 followers 590 following 190 posts

Industrial PhD Student @ Laerdal.com & DTU.dk, research in efficient machine learning, edge deployment and model compression

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Reposted by Rasmus Aagaard
NobodyWho @nobodywhooo.bsky.social · 29/09/2026
NobodyWho 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
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Rotten Tomatoes @rottentomatoes.com · 23/09/2026
All-new trailer for Nathan Fielder and Lance Oppenheim's 'You Can See Everything.' The Elizabeth Holmes documentary is in theaters on October 16.
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Rasmus Aagaard @rasgaard.com · 22/09/2026
As 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...
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Kenneth Nørgaard @kennethnrgaard.bsky.social · 12/09/2026
Kan 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.dk
Kan vi blive gladere af at forbruge mindre? Det mener forsker
Seniorforsker Toke Haunstrup mener, at nøjsomhed kan være en vej til både større trivsel og et mindre pres på kloden.
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Nick Rempel @nrempel.com · 08/09/2026
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Simon Eiriksson @simoneiriksson.bsky.social · 24/08/2026
Happy 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/mhattbxq
luma.com
CAMeLS-Group: sixth session in Copenhagen Advanced Machine Learning Study Group · Luma
Welcome to the sixth instalment of the Copenhagen Advanced Machine Learning Study Group (CAMeLS-Group). We meet every second Monday to read and discuss a…
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Rasmus Aagaard @rasgaard.com · 16/08/2026
Presented 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.
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Rasmus Aagaard @rasgaard.com · 16/08/2026
Was at @ijcai.org yesterday for the GLOW workshop glow-ijcai-2026.github.io/glow-ijcai-2... :)
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Rasmus Aagaard @rasgaard.com · 14/08/2026
Had 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.dk
DDSA Pre-Graduate Retreat 2026
Are 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?
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Rasmus Aagaard @rasgaard.com · 14/08/2026
Maybe @kasperjunge.bsky.social has thoughts on this or seen something out there in the wild? 👀
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Rasmus Aagaard @rasgaard.com · 13/08/2026
Any 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
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Rasmus Aagaard @rasgaard.com · 06/08/2026
Vidste at Zuck ikke kunne holde sig væk fra det nye hotteste benchmark 🚀 www.felonybench.com
felonybench.com
Felony 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.
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Kenneth Enevoldsen @kennethenevoldsen.eurosky.social · 05/08/2026
Embedding 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.
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Tima Kunayev @dj.kz · 04/08/2026
Me and my agents, just out of frame, are having fun in this harness, laughing
Nathan for you , laughing
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NobodyWho @nobodywhooo.bsky.social · 03/08/2026
NobodyWho 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 👇
Android & iOS local ai open-source app
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Rasmus Aagaard @rasgaard.com · 02/08/2026
It’s short for dynamic so dyna would make way more sense. I have found that climbers have a curious way of naming things:)
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Rasmus Aagaard @rasgaard.com · 02/08/2026
I guess my account is now dedicated to posting my latest dyno #bouldering
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Rasmus Aagaard @rasgaard.com · 31/07/2026
That first move took about a million attempts #bouldering
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Rasmus Aagaard @rasgaard.com · 20/07/2026
Probably my hardest climb so far. Super stoked:) Guess the grade? 🧐 #bouldering
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Rasmus Aagaard @rasgaard.com · 20/07/2026
Jeg 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.dk
Magtfuld - Peter Thiel (1:4) - Dungeon Master
Den stenrige tekno-kapitalist og kongemager Peter Thiel er en af de mest indflydelsesrige folk omkring Trump regeringen. Han vokser op præget af stren
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Ai2 @ai2.bsky.social · 02/07/2026
The 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. 🧵
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Rasmus Aagaard @rasgaard.com · 18/06/2026
Got 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)
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Vicki @vickiboykis.com · 15/06/2026
new 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.com
Running local models is good now
Local agentic coding has gotten great over the past few months
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Vicki @vickiboykis.com · 11/06/2026
The machine learning circle of life
1. This is too big, we need to compress it
2. We compressed it but now it's too small, we need it to generalize
3. It generalizes but it takes too long, we need to make it faster
4. We made it faster but now we have a distributed systems problem, we need to coordinate it
5. We've coordinated it but now we've created a monolith
6. This is too big, we need to compress it
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Gergely Orosz @gergely.pragmaticengineer.com · 10/06/2026
Seeing 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
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Politiken @politiken.dk · 07/06/2026
Magtudredningen: De sociale medier udfordrer demokratiet - og politikerne er medskyldige
politiken.dk
Magtudredningen: De sociale medier udfordrer demokratiet - og politikerne er medskyldige
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stellz @piss.beauty · 05/06/2026
getting your weights quantized probably feels amazing for the larger model
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mr. TIM @timkellogg.me · 05/06/2026
new QAT quants are available now if you want to run Gemma 4 12B in only 6.7 GiB VRAM blog.google/innovation-a...
blog.google
Gemma 4 QAT models: Optimizing model compression for mobile and laptop efficiency
We’re releasing Gemma 4 quantization-aware training checkpoints, reducing memory requirements and improving on-device performance.
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Rasmus Aagaard @rasgaard.com · 30/05/2026
youtube.com/watch?v=f2i0...
youtube.com
How schools are using AI and VR to train the next generation of nurses
YouTube video by PBS NewsHour
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Vicki @vickiboykis.com · 30/05/2026
Very strongly recommend breaking out of the token discourse and touching grass from time to time to maintain a grip on reality
What Is Art For?
BOWIE'S BOOKSHELF
THE HUNDRED BOOKS THAT CHANGED DAVID BOWIE'S LIFE
JOHN O'CONNELL
The Beauty of Everyday Things
Soetsu Yanagi
THE POCKET POETS SERIES
LUNCH POEMS
by
Frank O'Hara
SECOND EDITION
DICTIONARY OF SUBJECTS AND SYMBOLS IN ART
JAMES HALL Introduction by Kenneth Clark
ABER NINETEEN
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Vicki @vickiboykis.com · 11/05/2026
Legitimately 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 🙏
Top HN headlines over the past 24 with reasonable takes like “Local AI needs to be the norm” and “I’m going back to writing code by hand”
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NobodyWho @nobodywhooo.bsky.social · 27/04/2026
Today 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...
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é. @urcad.es · 18/04/2026
We've recently implemented the fastest static embedding model in the world by an insanely large margin Read on for additional info ↓
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Rasmus Aagaard @rasgaard.com · 15/04/2026
Researchers 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
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Eugene Vinitsky 🍒 @eugenevinitsky.bsky.social · 15/03/2026
For 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
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Sung Kim @sungkim.bsky.social · 17/03/2026
Flash-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/...
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Videnskab.dk @videnskab.dk · 11/03/2026
AI i valgkampen: Hjælper det kandidater, eller skræmmer det vælgerne væk? #dkvid #dkforsk
videnskab.dk
AI 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.
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Rasmus Aagaard @rasgaard.com · 26/02/2026
Claude Code Copenhagen meetup 🍻🚀
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Rasmus Aagaard @rasgaard.com · 25/02/2026
Together with fellow ddsc.io members I helped a bit with this piece on @ing.dk :)
pro.ing.dk
Open source er en strategisk nødvendighed i AI: Sådan kommer vi med i kapløbet | DataTech
På 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...
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Alexander Doria @dorialexander.bsky.social · 23/02/2026
First 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...
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Rasmus Aagaard @rasgaard.com · 23/02/2026
Strongly 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 DTU
danoliterate.compute.dtu.dk
The Danoliterate Generative Large Language Model Benchmark
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Rasmus Aagaard @rasgaard.com · 20/02/2026
Helt 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.
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Rasmus Aagaard @rasgaard.com · 20/02/2026
LLM 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
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Cohere Labs @cohereforai.bsky.social · 17/02/2026
Introducing ✨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.
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Rasmus Aagaard @rasgaard.com · 18/02/2026
Excited to be in fantastic company amongst the speakers for IDA Driving AI 2026 :) ida.dk/driving-ai/t...
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Rasmus Aagaard @rasgaard.com · 17/02/2026
The 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
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Rasmus Aagaard @rasgaard.com · 16/02/2026
Due 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...
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Rasmus Aagaard @rasgaard.com · 10/02/2026
Local 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/...
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Yusuf @yusufimaadkhan.com · 08/02/2026
ofc there's already a python plotting library for this sort of thing github.com/jndean/LossR...
github.com
GitHub - 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
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Bethankit Hums @tangibullah.bsky.social · 05/02/2026
This is crazy: youtu.be/v81b0XllvgI
youtu.be
This bullshit has been going on for generations. A 1996 Simpsons episode tried to teach us.
YouTube video by Gangstagrass
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