Sign in

Christian S. Perone

@cperone.bsky.social
871 followers 289 following 54 posts

blog.christianperone.com, Machine Learning, Computer Science and Math. Staff ML Research Engineer working with imitation learning and planning for Autonomous Vehicles. London/UK.

PostsRepliesMedia
Christian S. Perone @cperone.bsky.social · 28/09/2026
Just published a new blog post: "The systems that no one will test" (blog.christianperone.com/2026/09/the-...)
blog.christianperone.com
The systems that no one will test | Terra Incognita
This happened to me in 2020, and it has been on my mind again lately. During the worst of the pandemic, I found a vulnerability in a system that gave me access to the Brazilian federal system, and wit...
010
Christian S. Perone @cperone.bsky.social · 23/01/2026
Recommended !
140
Christian S. Perone @cperone.bsky.social · 07/11/2025
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...
0101
Reposted by Christian S. Perone
Kashyap Chitta @kashyap7x.bsky.social · 01/09/2025
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/ 🧵👇
1149
Christian S. Perone @cperone.bsky.social · 31/07/2025
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
110
Reposted by Christian S. Perone
Catsuka @catsuka.bsky.social · 25/07/2025
Guillermo del Toro - Studio Ghibli Masterclass (2013, TIFF festival) ❤️ Now online (80 minutes) >> www.youtube.com/watch?v=q8Uo...
283429809
Christian S. Perone @cperone.bsky.social · 22/07/2025
"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.
161
Christian S. Perone @cperone.bsky.social · 21/07/2025
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
110
Christian S. Perone @cperone.bsky.social · 19/07/2025
I made a diagram on how you can use a World Model with Diffusion Elites:
030
Reposted by Christian S. Perone
Marcelo Rinesi @marcelorinesi.bsky.social · 18/07/2025
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.
021
Reposted by Christian S. Perone
David Pfau @davidpfau.com · 14/07/2025
I'll be at ICML this week, presenting our paper on Wasserstein Policy Optimization on Tuesday! If you're in Vancouver, come say hi!
1314
Christian S. Perone @cperone.bsky.social · 09/07/2025
New blog post: "Diffusion Elites: surprisingly good, simple and embarrassingly parallel", blog.christianperone.com/2025/07/diff...
2142
Christian S. Perone @cperone.bsky.social · 27/06/2025
"Chip Placement with Diffusion Models" (openreview.net/pdf?id=crCPL...) very cool paper.
openreview.net
010
Christian S. Perone @cperone.bsky.social · 16/06/2025
I'm getting addicted to animations of Langevin sampling with fixed rng and varying params.
160
Christian S. Perone @cperone.bsky.social · 03/06/2025
Given the amount of different definitions of world models, at this point, I think I can call any model a world model.
010
Christian S. Perone @cperone.bsky.social · 30/05/2025
If you change the tensor in PyTorch, it will change the tensor in Jax, Numpy, PyTorch and Tensorflow 😅
120
Christian S. Perone @cperone.bsky.social · 27/05/2025
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...
youtube.com
TorchStation - Development proto v1
YouTube video by Christian S. Perone
000
Christian S. Perone @cperone.bsky.social · 07/05/2025
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 !
000
Christian S. Perone @cperone.bsky.social · 05/05/2025
VectorVFS is on Hacker News front page 🤟
010
Christian S. Perone @cperone.bsky.social · 28/04/2025
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.com
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.
051
Christian S. Perone @cperone.bsky.social · 28/04/2025
New open-source project coming out soon 🤞
020
Christian S. Perone @cperone.bsky.social · 07/04/2025
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.
010
Christian S. Perone @cperone.bsky.social · 06/04/2025
IRoPE on LLama 4 seems very interesting, some clever tricks there.
010
Christian S. Perone @cperone.bsky.social · 30/03/2025
New Forest and its magical beings.
020
Christian S. Perone @cperone.bsky.social · 18/03/2025
What a crazy evolution. Slide from NVIDIA Blackwell Numerics for AI presentation.
010
Christian S. Perone @cperone.bsky.social · 31/01/2025
Machine learning engineers can now feel the pain epidemiologists endured during covid: everyone's suddenly an expert.
061
Christian S. Perone @cperone.bsky.social · 29/01/2025
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)
020
Christian S. Perone @cperone.bsky.social · 24/01/2025
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
110
Christian S. Perone @cperone.bsky.social · 24/01/2025
🤭
020
Christian S. Perone @cperone.bsky.social · 09/01/2025
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...
blog.christianperone.com
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...
051
Christian S. Perone @cperone.bsky.social · 29/12/2024
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.
020
Christian S. Perone @cperone.bsky.social · 17/12/2024
I think that Ilya's talk in NeurIPS is just another example of how ML researchers/engineers cannot protect themselves enough against misrepresentation when they speaking in public. I wish we had the same level of scrutiny for futurists spreading historicism as well.
030
Christian S. Perone @cperone.bsky.social · 02/12/2024
Optimizers in deep learning are a concrete example of how we can move forward and develop very useful algorithms without knowing what is actually going on 😅
110
Reposted by Christian S. Perone
Gabriel Peyré @gabrielpeyre.bsky.social · 30/11/2024
I wrote a summary of the main ingredients of the neat proof by Hugo Lavenant that diffusion models do not generally define optimal transport. github.com/mathematical...
523845
Christian S. Perone @cperone.bsky.social · 29/11/2024
I think I will be laughing for the eternity specificsuggestions.com
specificsuggestions.com
Specific Suggestions: Simple Sabotage for the 21st Century
The most potent tools for fighting injustice are the ones already in your hands.
010
Reposted by Christian S. Perone
sbi - Simulation-based inference @sbi-devs.bsky.social · 27/11/2024
The sbi package is growing into a community project 🌍 To reflect this and the many algorithms, neural nets, and diagnostics that have been added since its initial release, we have written a new software paper 📝 Check it out, and reach out if you want to get involved: arxiv.org/abs/2411.17337
arxiv.org
sbi reloaded: a toolkit for simulation-based inference workflows
Scientists and engineers use simulators to model empirically observed phenomena. However, tuning the parameters of a simulator to ensure its outputs match observed data presents a significant challeng...
16022
Reposted by Christian S. Perone
Sander Dieleman @sedielem.bsky.social · 27/11/2024
Amazing blog post on flow matching, stunning visuals! It also makes the connection with normalising flows crystal clear. Incredible effort!
29016
Reposted by Christian S. Perone
Mathurin Massias @mathurinmassias.bsky.social · 27/11/2024
Anne Gagneux, Ségolène Martin, @quentinbertrand.bsky.social Remi Emonet and I wrote a tutorial blog post on flow matching: dl.heeere.com/conditional-... with lots of illustrations and intuition! We got this idea after their cool work on improving Plug and Play with FM: arxiv.org/abs/2410.02423
1235299
Christian S. Perone @cperone.bsky.social · 26/11/2024
Finally got a RP2350 😍
010
Reposted by Christian S. Perone
Guillaume Dalle @gdalle.bsky.social · 26/11/2024
For the theoretical side, there’s no better resource than the 2024 book by Blondel and Roulet: arxiv.org/abs/2403.14606 For the practical side, my friend @willtebbutt.bsky.social wrote stellar documentation explaining autodiff with mutation: compintell.github.io/Mooncake.jl/...
arxiv.org
The Elements of Differentiable Programming
Artificial intelligence has recently experienced remarkable advances, fueled by large models, vast datasets, accelerated hardware, and, last but not least, the transformative power of differentiable p...
55612
Christian S. Perone @cperone.bsky.social · 25/11/2024
Finally an interesting standard for LLM integration, this Model Context Protocol (MCP) from Anthropic looks quite promising (modelcontextprotocol.io/introduction).
modelcontextprotocol.io
Introduction - Model Context Protocol
Get started with the Model Context Protocol (MCP)
060
Christian S. Perone @cperone.bsky.social · 25/11/2024
I really don't understand why Google keep using these Abseil bindings in Python. Even with plenty of arg parsing options and CLI frameworks, Google prefers this interface: buff.ly/4g4ruip. It's just nonsense.
buff.ly
abseil / Flags
An open-source collection of core C++ library code
000
Reposted by Christian S. Perone
Simone Conradi @sconradi.bsky.social · 24/11/2024
Normal modes of Chladni plates. Made with #python, #numpy and #matplotlib.
2354
Christian S. Perone @cperone.bsky.social · 22/11/2024
You are not prepared for what is coming in 2025 🤭
020
Reposted by Christian S. Perone
Tim Rocktäschel @handle.invalid · 22/11/2024
The LLM parrot analogy is dead. Fantastic work by UCL DARK's @lauraruis.bsky.social on rigorously investigating whether LLMs learn reasoning from procedural knowledge during pretraining.
0504
Christian S. Perone @cperone.bsky.social · 22/11/2024
I think a lot of people would be surprised if Arena Chatbot disclosed the IP addresses and their respective ISPs for the votes given. Some folks would be shaking their legs just to the idea of sharing this 😅
111
Christian S. Perone @cperone.bsky.social · 19/11/2024
Hi, just sharing an updated version of the PyTorch 2 Internals slides: drive.google.com/file/d/18YZV.... Content: basics, jit, dynamo, Inductor, export path and executorch. This is focused on internals so you will need a bit of C/C++. I show how you can export and run a model on a Pixel Watch too.
28617
Reposted by Christian S. Perone
Sander Dieleman @sedielem.bsky.social · 15/11/2024
In a gratuitous attempt to acquire more followers myself 😁, I've made a start on a "starter pack". Hopefully as more people from 🐦 make it over to 🦋, we can extend this a bit. Suggestions welcome! I've noticed not all accounts seem to be eligible to be added, anyone know what's up with that? 🤔
3412836
Reposted by Christian S. Perone
Simone Scardapane @sscardapane.bsky.social · 14/11/2024
*The geometry of data* Fascinating blog post by @cperone.bsky.social on how we can use the Stein score (of diffusion renown) to build a metric tensor describing the geometry of our data (e.g., computing geodesics between points). blog.christianperone.com/2024/11/the-...
0204
Christian S. Perone @cperone.bsky.social · 14/11/2024
New article: "The geometry of data: the missing metric tensor and the Stein score" (blog.christianperone.com/2024/11/the-...). I show how you can derive a (efficient to compute) data manifold metric tensor with the Stein score alone ! Deep connections to diffusion, score-based models and physics.
1228