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Michael Jordan gave a short, excellent, and provocative talk recently in Paris - here's a few key ideas - It's all just machine learning (ML) - the AI moniker is hype - The late Dave Rumelhart should've received a Nobel prize for his early ideas on making backprop work 1/n

*Into the land of automatic differentiation* Material is out! A short PhD course for the CS PhD in Sapienza Università di Roma covering basic and advanced topics in autodiff w/ slides, (rough) Notion notes, and two notebooks including a PyTorch-like implementation. 😅 sscardapane.it/teaching/phd-a…

ChatGPT Agent is the first model we classified as "High" capability for biorisk. Some might think that biorisk is not real, and models only provide information that could be found via search. That may have been true in 2024 but is definitely not true today. Based our

This is the first model that reaches "high" risk capability but will not be the last. This needs to also be a wake-up call to society at large, not just to strengthen security of AI systems, but also increase investment in biosecurity, DNA synthesis screening and more. See our

Tired of lengthy computations to derive scaling laws? This post is made for you: discover the sharpness of the z-transform! francisbach.com/z-transform/

We gave Claude access to our corporate QuickBooks. It committed accounting fraud. LLMs are on the verge of replacing data scientists and investment bankers. But can they perform simple accounting tasks for a real business? The answer is no.

I'm happy to share the recording of a lecture I gave in Prague in May 2025: "Towards Understanding of Scaling, Emergence and Transformers." slideslive.com/39043090/towar…

Intro blog post for CS 2881: AI Safety. windowsontheory.org/2025/07/20/ai-…

I had a great time presenting "It's Time to Say Goodbye to Hard Constraints" at the Flatiron Institute. In this talk, I describe a philosophy for model construction. Video now online! youtube.com/watch?v=LxuNC3…

Had an incredible opportunity to give two lectures on diffusion models at MLSS-Sénégal 🇸🇳 in early July! Slides are available here: onedrive.live.com/?redeem=aHR0cH… Big thanks to Eugene Ndiaye for the invitation!

youtube.com/watch?v=UggmUP…

This paper covers the fundamentals projecteuclid.org/journals/proba…

Doctors and health officials report wave of hunger deaths in Gaza on.ft.com/46iUoK6

Peyman Milanfar This follow-up article also surveys recent applications in probabilistic inference, computational statistics, and machine learning arxiv.org/pdf/2105.03481

I am pleased to announce that together with some friends, we are organising a workshop on Non-Reversible MCMC Sampling, taking place at Newcastle University from 8–10 September 2025. Details can be found at the workshop website sites.google.com/view/probai-wo….

The worst hires? Talented yet viciously political people. It takes 18 months to uncover the magnitude of the disaster: you trusted them and you shouldn't have, it was a con from day 1. 18 months into working daily with LLMs, I'm getting the same exact feeling.

Razor = rule of thumb to shave other alternatives Occam's razor = simplest solution Gigantic parameter space of Neural Networks seem to defy Occam's razor but almost degenerate Fisher information explains their low complexity 👉link.springer.com/article/10.100…

A glance at the schedule and speaker list, for the interested:

It's day 2 of #SIAMAN25 in Montreal! Emilie Chouzenoux of CentraleSupélec and Université Paris-Saclay is currently speaking about the deep unfolding approach for #inverseproblems in imaging and the use case of limited-angle #computedtomography. Check it out!