Christian S. Perone
@cperone.bsky.social
http://blog.christianperone.com, Machine Learning, Computer Science and Math. Staff ML Research Engineer working with imitation learning and planning for Autonomous Vehicles. London/UK.
Gemma3n was released a few months ago, I wasn't able to find more info and I found it a *very interesting* architecture with a lot of innovations (Matryoshka Transformer, MobileNetV5, etc), so I decided to dig further, here you are the slides of this talk: drive.google.com/file/d/15hbh...
Announcing the @iccv.bsky.social NAVSIM Challenge! What's new? We're testing not only on real recordings, but also perturbed futures generated from the real ones via pseudo-simulation! $8K in prizes + several $1.5k travel grants. Submit by September 20! opendrivelab.com/challenge2025/ 🧵👇
I feel I can build an entire benchmark dataset with ONNX errors that would be harder than the humanity's last exam dataset for us to evaluate AGI
Guillermo del Toro - Studio Ghibli Masterclass (2013, TIFF festival) ❤️ Now online (80 minutes) >> www.youtube.com/watch?v=q8Uo...
"Optimizers Qualitatively Alter Solutions And We Should Leverage This" (arxiv.org/abs/2507.12224), very nice to see this direction of understanding what different optimizers bring in terms of solution properties.
I find incredible how much we can relate about the evolution of Machine Learning in the past decade to what Simondon described in 1958. The shift towards more generalist systems is exactly what Simondon's concept of "concretization" is about. 1/2
This is absolutely *charming* in its straightforwardness. All kinds of bells and whistles suggest themselves at once, but this gives "really strong baseline for the general case" vibes.
Christian S. Perone@cperone.bsky.social · last yr.New blog post: "Diffusion Elites: surprisingly good, simple and embarrassingly parallel", blog.christianperone.com/2025/07/diff...
I'll be at ICML this week, presenting our paper on Wasserstein Policy Optimization on Tuesday! If you're in Vancouver, come say hi!
New blog post: "Diffusion Elites: surprisingly good, simple and embarrassingly parallel", blog.christianperone.com/2025/07/diff...
"Chip Placement with Diffusion Models" (openreview.net/pdf?id=crCPL...) very cool paper.
openreview.net
I'm getting addicted to animations of Langevin sampling with fixed rng and varying params.
Given the amount of different definitions of world models, at this point, I think I can call any model a world model.
If you change the tensor in PyTorch, it will change the tensor in Jax, Numpy, PyTorch and Tensorflow 😅
After a lot of issues with power distribution, the first panel of TorchStation proto is finally here 😉 node sel. for distributed training is coming. You will soon have an open-source and open-hardware @pytorch.org distributed training monitor on your desk: www.youtube.com/watch?v=D7po...
TorchStation - Development proto v1
YouTube video by Christian S. Perone
youtube.com
We are hiring 2 Machine Learning Engineers in London/UK 🇬🇧 to work with end-to-end automated driving. ➡️ Senior Machine Learning Engineer woven.toyota/en/careers/d... ➡️ Machine Learning Engineer woven.toyota/en/careers/d... We sponsor visas as well !
Introducing VectorVFS, your filesystem as a vector database: github.com/perone/vecto.... VectorVFS stores embeddings directly into filesystem inodes. No external index, daemon, database or metadata files. The first model supported is the SOTA Perception Encoder from Meta.
GitHub - perone/vectorvfs: Your filesystem is a vector database
Your filesystem is a vector database. Contribute to perone/vectorvfs development by creating an account on GitHub.
github.com
I think the Google Search Appliance (GSA) was a nice concept that suffered a unfortunate timing. Imagine it today with on-premise LLMs, multi-modal document indexing and modern retrieval. All local wo/ any data sent to cloud. I really want to develop a prototype w/ a Jetson.
IRoPE on LLama 4 seems very interesting, some clever tricks there.
What a crazy evolution. Slide from NVIDIA Blackwell Numerics for AI presentation.
Machine learning engineers can now feel the pain epidemiologists endured during covid: everyone's suddenly an expert.
That can partially explain the similarities of DeepSeek-R1 CoTs and o1-preview CoTs, even though the CoTs from o1 are hidden. There are now probably 3 hypothesis: 1) convergent behavior 2) distillation (but not of CoTs) 3) sinister data leak (directly or through a 3rd party)
Financial Times@financialtimes.com · 2y agoOpenAI says it has evidence China’s DeepSeek used its model to train competitor https://www.ft.com/content/a0dfedd1-5255-4fa9-8ccc-1fe01de87ea6
Discussions around AI agents would be much more productive if we just make clear the difference between functional autonomy and vs ontological agency. I can see many folks talking past each other because the lack of understanding of these two different types of agency. 1/4
Finally finished an article I was working on since past year on Gilbert Simondon's philosophy of technology and how it relates to AI/ML. Simondon's philosophy radically changed my views on technology, anyway, here you are the article: blog.christianperone.com/2025/01/note...
Notes on Gilbert Simondon’s “On the Mode of Existence of Technical Objects” and Artificial Intelligence | Terra Incognita
Happy new year ! This is the first post of 2025 and this time it is not a technical article (but it is about philosophy of technology 😄) This is a short opinion article to share some notes on the book...
blog.christianperone.com
If one watches AI competition carefully, it can be weird to see one company saying they need to take *drastic action*, while another company has a *drastic research* team. IMHO, when everything is portrayed as drastic, then nothing really is, as this often leads to nihilism.