🇫🇷🇺🇸 FLASH — Doctolib livre les données de ses patients aux géants américains de l’IA.
La plateforme française assure que ses données médicales sont « à l’abri en Europe ». En réalité, elle transmet les informations de ses utilisateurs à Google, Microsoft et Anthropic pour entraîner ses modèles d’intelligence artificielle.
We believe AI can be a dedicated research partner to help discover the next breakthrough.
Enter Co-Scientist: our latest Gemini-based multi-agent system that can generate, debate and evolve novel hypotheses for complex scientific problems 🧵
i HATE french mentality with a passion. you be talking about your future projetcs or just anything that you want to do, and their first reply is always "NO" "don't do that" "this isn't good" etc it's like you're not allowed to have dreams and ambition
Aging is arguably the root cause of most major diseases (loss of function in our cells). Four years ago, we made a bet that aging was treatable, and NewLimit was born.
NewLimit now has a prototype drug that reverses the age of some human cells (restores function they had when they were younger), and a clinical trial scheduled for next year (with more drug candidates in the pipeline).
Grateful to Founders Fund, Thrive, Greenoaks, and the rest of the investors for this latest round. @jacobkimmel and the team are just getting started.
SCORCESE IS AN AI BRO NOW?
...and he's an OPEN SOURCE COOL KID?
...and he would have used it for GOODFELLAS?
[DIES]
Ok now that's out of the way. Make sure to watch the full video on the Black Forest Labs site. This is an advisory role where he will be helping Black Forest Labs develop their FLUX image and (possibly) video models.
He specifically plans to use FLUX for storyboarding purposes. So definitely as a "tool" vs directing HELL GRIND 2.
Martin Scorsese is an advisor to Black Forest Labs.
He's spent six decades shaping how the world sees stories. Now he's helping us shape visual intelligence with human taste and craft at the center.
We sat down with him for a working storyboarding session using FLUX.
Martin Scorsese is an advisor to Black Forest Labs.
He's spent six decades shaping how the world sees stories. Now he's helping us shape visual intelligence with human taste and craft at the center.
We sat down with him for a working storyboarding session using FLUX.
"AI HAS NO PLACE IN FILMMAKING!" say the luddites and then the G.O.A.T drops this. If you are listening to the haters telling you AI has no place in in filmmaking and ignoring Scorsese, Spielberg, Cameron, Davies, Schrader, Aronofsky, then you need to check yourself.
🚨 Google Quantum result was just rediscovered and IMPROVED!
On March 31, 2026, Google Quantum AI published a paper showing that 256-bit ECDLP, the hard problem behind ECDSA and therefore behind Bitcoin, Ethereum, TLS, and most of the world's authentication, can be solved with fewer than 1,200 logical qubits and ~90M Toffoli gates. Under 20 minutes on ~500,000 physical qubits.
BUT, they didn't publish the circuits. They published a zero-knowledge proof that the circuits hit those numbers. The standard read at the time: clever responsible disclosure, elegant.
Two months later, that read needs an update. Two things happened, in opposite directions.
1. The ZKP wasn't a stylistic choice. Google was stopped from publishing.
What was speculation in April is no longer. Google did not choose to keep the circuits private. The U.S. government prevented publication. The blog post phrased it politely ("we engaged with the U.S. government"). Call it what it is: diplomatic cover for a publication block.
This is the line Scott Aaronson warned about. At some point, the people estimating the resources needed to break deployed cryptosystems would stop publishing. We just watched it happen, and the actor enforcing the silence isn't Google's PR team. It's a government.
2. The ZKP turned out to be a reward function. AI used it.
Here's the part that's almost funny.
A ZK proof that "this hidden circuit achieves these resource counts" is, when you flip it, a public verifier of any candidate circuit. Submit a circuit, get back: does it compute ECC point addition correctly, and at what cost. Pass/fail plus a number. That is exactly the shape of a reinforcement-learning reward function.
The ZKP was designed to hide the attack. What it actually published is the reward function for rediscovering it.
The research community wired the verifier into an automated AI-driven search loop. They reproduced Google's numbers. Then they improved them by 11.5%. Two months, from outside Google, no access to the circuits, using the very artifact Google released to keep them proprietary.
Both of these are true at once. Hiding the circuits worked: nobody outside Google has Google's exact circuits. And hiding the circuits did not slow the frontier; it changed who is doing the search, and arguably accelerated it, because the verifier industrialized the search loop.
Let's NOT PANIC!
Neither of these is a working CRQC. There is still no quantum computer that can run this circuit. The headline state of the world has not changed.
What has changed is the honesty of every public PQC timeline. Cryptography exists to create mathematical trust in the security of systems. Trust isn't broken when an attack runs. It is eroded when the foundation looks thinner than the public record suggests, and the public record is now demonstrably thinner than reality in two ways: by classification on one end, by AI-driven re-derivation on the other.
In security, the moment you start doubting the foundation is the moment you start rebuilding it. Not the moment you panic. The moment you plan.
This isn't a moment to rush. It's a moment to commit to a migration plan and execute against it, knowing the threat model is shaped by what governments are willing to classify, not by what researchers are allowed to publish.
Stay safe. Stay honest about your trust assumptions.
The biggest lesson I’ve carried from filmmaking into AI:
Taste is still the bottleneck.
AI can generate options forever. But knowing what’s emotionally true, what’s off by 5%, and what should be cut, that still comes from experience.