Jordan Fréry

AI agents will run your company. AI agents will run your life. Who runs the agents?

AI Agent desperately need privacy and security before we get there. I will be discussing this in the next openclaw paris meetup. Join us! Meetup link: luma.com/6ff04wvk

AI agents will soon graduate to fully-fledged economic actors that buy services, compute, and even data in the course of accomplishing high-level goals. 1-2 years before we start seeing this at scale.

AI agents are coming whether you like it or not and they are only useful if they can access everything, emails, docs, financials, customer data... All of it. This has to remain private and secure by design. We built a solution and are looking for a few companies to try it out. My DMs are open!

Clawd disaster incoming if this trend of hosting ClawdBot on VPS instances keeps up, along with people not reading the docs and opening ports with zero auth... I'm scared we're gonna have a massive credentials breach soon and it can be huge This is just a basic scan of instances hosting clawdbot with open gateway ports and a lot of them have 0 auth

We're about to witness the greatest centralization of information in human history. Not in a database. In computation. Systems that reason over secrets, combine them, and act on them. The privacy tech isn't ready for what's coming. We need to fix that.

Refreshing to see this debate! Looking past the provocative title, there’s actually a lot of consensus here. - Transformers are hitting a wall. - GPUs aren’t getting meaningfully faster. - This the current hardware/transformer stack is already near optimal. Where Tim gets controversial is the conclusion: because hardware is the bottleneck, exponentially better AI (Superintelligence) is impossible. I suspect the provocation is intentional, but the real takeaway seems to be within these lines: - For AI builders: don't wait for a god model. Assume current AI is the ceiling and start building useful things for humanity. - For AGI builders: stop stacking GPUs. The scaling era is over. We need a fundamental restart on algorithms and hardware (what people like LeCun and Ilya are now hinting at)

It's great to see AI detection becoming real. But you shouldn't expose a confidential file to verify its origin... At @zama we built a demo running the SynthID detection on encrypted data. Try it out: huggingface.co/spaces/zama-fh…

@sama Teen safety and user privacy don't have to be in conflict. It's possible to deliver both. Simply commit to privacy preserving technologies, @sama.

Some of our principles are in conflict, so here is what we are going to do: openai.com/index/teen-saf…

After five years of work, the team is happy to announce the Zama Confidential Blockchain Protocol and the release of our Public Testnet. First things first, read the litepaper ⬇️

@sama User privacy can be technologically enforced to ensure no one accesses this data without explicit consent. Copyright problems can be verified by auditing specific versions of the models themselves, not by reviewing user conversations.

AI privacy is critically important as users rely on AI more and more. the new york times claims to care about tech companies protecting user’s privacy and their reporters are committed to protecting their sources. but they continue to ask a court to make us retain chatgpt users' conversations when a user doesn't want us to. this is not just unconscionable, but also overreaching and unnecessary to the case. we’ll continue to fight vigorously in court today. i believe there should be some version of "AI privilege" to protect conversations with AI.

Zama Public Testnet live on July 1st 🚀

@ClementDelangue We make AI run on encrypted data at @zama. We will catch up with cleartext execution soon !

Who’s working on AI encryption and privacy? Very important topic in my opinion!

@skyquake_1 A good time for @OpenAI to implement watermarking detection using privacy preserving technologies. x.com/zama_fhe/statu…

If you are still Ghiblipoasting pivot to light insurance fraud

AI-generated images blur the line between real and fake, raising tough challenges for copyright, privacy & trust online.…Invisible watermarking using Fully Homomorphic Encryption (FHE) can solve these challenges—without compromising privacy. A thread w/ code & demo 🧵⬇️

Analyzing DNA usually comes with serious privacy risks. Yet, these insights can genuinely boost your health. 💰 Zama’s latest bounty offers €10,000 to whoever cracks this biological age analysis on encrypted DNA ➡️ github.com/zama-ai/bounty… Curious to see what hackers will do!

Today, we are introducing our most exciting product to date: the #fhEVM coprocessor. It enables confidential smart contracts on #Ethereum, @base and other EVM chains, without changing the underlying protocol. Let’s dive into what this means for the future of privacy onchain. 🧵/1

Today we are one step closer to our ultimate goal: making FHE accessible, easy, fast, and, most importantly, ubiquitous. Happy to share the results of our teams’ effort over the past quarter with these new releases: TFHE-rs (v0.8), Concrete (v2.8), Concrete ML (v1.7) ⬇️🧵

@LewisTaariq @zama @huggingface TEEs are going to be much faster as they operate on clear data. FHE is going to be ~1000x slower in average, but computations are done on encrypted data.

1/3 — Check out Zama's latest demo on @huggingface: an encrypted DNA testing application using FHE, based on our recent tutorial on how to build an end-to-end encrypted 23andMe-like genetic testing application using Zama's Concrete ML library.