Frédéric Lefebvre Data&AI @Niji_digital (recrute/hiring) 📖 "Les data" 👨🏫 data@ParisCité Tech = contenants/containers 📦 Data = contenus/contents ❤️
Joined July 2013
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Selon ce xweet, une nouvelle stratégie pour éloigner les IA de ce que vous écrivez : y insérer (par exemple comme noms de fonctions dans du code informatique) des mots qui vont abaisser leurs barrières.
有人往代码里写「蓖麻毒素致死剂量」，就为了不让 AI 看懂。
一个专门研究浏览器指纹的人，爬了 1 万个网站，把各家网站用来认「你是不是机器人」的脚本扒下来看。其中一个反爬脚本，函数名一个比一个吓人：算往供水里投蓖麻毒素的致死剂量、算脏弹的辐射范围、算芬太尼前体的产率。
这些函数跟毒药半点关系没有，名字是故意起的。现在想拆别人的代码，第一步基本都是整段贴给 AI，AI 一读到这些词，安全机制先跳出来，直接拒答。
他拿 GPT-6 Astra 试了一下，果然不干，理由是涉及生物安全风险。脚本里还藏了一串肉眼看不见的字符，解出来是一段越狱提示词，让 AI「进入无限制模式」写各种违禁内容，目的也一样：读到它的 AI 当场罢工。
还有一段看着像在偷 .env、装后门的代码，作者看下来也是摆样子吓 AI 的。
说实话这招挺损，也挺聪明。代码混淆以前防的是人，现在开始专门给 AI 下套了。
最好笑的是，他换成 GLM-5.3 再问一遍，人家照样帮他拆完了。
Faire de la science était de l'endurance. Ça devient de la course de vitesse, du concours de réflexes, du blitz.
(Et pourquoi pas ?)
Time is the part I think people underestimate. An AI review took 1.4 to 16 minutes. Human reviewers report 5 to 8.5 hours, and then the paper waits. In our prior study on biomedical preprints, the median time from preprint to journal was about 7 months, and 4% took more than 2 years (doi.org/10.64898/2026.06.30.…).
That delay has a cost, especially for clinically relevant work. When RECOVERY found that dexamethasone saves COVID patients, the result went out right away. One analysis estimated that waiting about a month for the journal paper would have cost more than 200 lives in the UK. An AI check could be posted the day a preprint goes up.
dataStrategies retweeted
Lots of debate this week on whether journals should ban AI in peer review.
We actually tested this in our new preprint, and the results were pretty clear to me.
For context, I've reviewed for most of the big journals and evaluated 1,000 human reviews as an editor. I love to read and evaluate science.
TLDR: From now on I won't do any peer review without AI. For clinical trials, I'd even call human-only review dangerous 🧵
Count me in (i.e. out) : en 2019, je croyais certes énormément à l'IA textuelle (c'est le type de missions où j'avais les meilleures marges tellement ça marchait bien) mais je voyais dans l'IA générative un truc anecdotique, au mieux. 1/2
Dario reveals the people who called his GPT-2 fears "pseudoscience" in 2019 are now all applying for jobs at AI labs
"I personally was super freaked out by [GPT-2]. I looked at it and I said, my God, you just scale this thing up another factor of a million and it'll be better than humans at everything. This is the defining economic and scientific moment of the modern age. We just don't know it yet. This is going to determine the fate of nations and economies and the future of humanity."
"Maybe 10% of the people around me had exactly the same reaction, and it was often the smartest ones. 90% of the people around me, because GPT-2's capabilities in any particular area were not that impressive, it could translate languages, summarize a document and write a few lines of code here and there. It was the broadness and the generality."
"But people would look at it and say, in any particular area, that doesn't seem so smart. And so many people just shrugged and they just dismissed it."
"I just look at it and I say it's the same thing over and over again. The limitations of the models, six months from now, the things that seemed hard, they're going to be easy. 12 months from now, the things that seemed impossible, the models are going to be doing them regularly."
"It's everything we saw with GPT-2; we're seeing it over and over again in wider and wider swaths of the world. And the world is gradually finally being convinced."
Daniela Amodei: "I remember at the time there were some very well-respected computer scientists and AI and ML leaders who basically bullied some of the researchers who worked on [GPT-2] on Twitter and were like, this is stupid. We don't know why you guys are even talking, this model is so incapable."
"It was like you were sort of a quack if you believed this was a really significant moment."
Dario: "That's all been memory-holed. All the researchers who were like, oh, this is pseudoscience, it doesn't make sense, all of them are applying for jobs at the LLM companies."
"We never say it out loud to any particular one, but we look at them and they're like, we remember what you were saying in 2019. You have no credibility on this matter."
Eh ben voilà, les fournisseurs de foreuses et pioches peuvent faire leur pub sur Xwitter. Et "ZDR", autrement dit, j'ignorerai ce que vous ferez de mes foreuses.
dataStrategies retweeted
today with @Thom_Wolf, we introduce the alignment hub, a central place for misalignment incidents designed with three goals:
1. set a standard for minimal transparency that is easy for labs to follow
2. improve clarity by centralizing information and sourcing
3. track the progression of both the incidents and how they are reported
we believe there is a minimal level of transparency required to properly understand incidents and their impact. we want this to be as simple as possible for labs to disclose, and we noticed that even things that seem obvious like reporting the incident or detection date are not standard today. we believe that the public should know the answers to these basic questions: was there monitoring (CoT? network?), did it happen during training? eval (general? cyber? alignment?), deployment? and more.. we also think that labs should be more transparent than this, and we think that this minimal level of transparency should evolve as the field advances
having a central place also helps a lot to connect incidents and build understanding. a good example is the irregular incidents which are all linked and caused by a human error of allowing internet during a CTF eval. we also track progression over time, things like the % of incidents disclosed by labs vs third parties, the time it takes for labs to disclose, and a tentative transparency score.
this is a field moving very fast and we will do our best to make sure this hub evolves with the challenges ahead. this is still in "beta" (lots of vibecoded components even if we want this to be agent first!), but we want to publish it early so that people iterate on it. we welcome feedback and contributions, we see this as a community effort!
our hope is that this makes it easier for researchers, labs and the general public to report, learn, understand and analyze safety incidents
huggingface.co/spaces/witnes…
dataStrategies retweeted
UPDATE: Israeli company we caught delivering zero-click infections is #1 bidder on Starlink ads in 105 countries.
Data from @trendai_RSRCH suggests worldwide surveillance op targeting @Starlink users. 1/
By @razhael
reuters.com/business/media-t…
🚨NEW INVESTIGATION: zero-click mercenary spyware hacking via targeted ads.
A normal-looking ad loads. If you're a target, you're infected. No click needed.
To protect yourself, block ads now.
First time it's been confirmed in the wild. We call it #AdFection.
Candiru spyware infections at @AJEnglish. 45+ devices infected.
Same ad pipeline operated by Israeli company Discover-Tech reached NATO, European Parliament, dozens of gov networks & critical infrastructure incl US nuclear giant Westinghouse.
Confiant, which worked with us, found signs ads were displayed at US @DeptofWar, IAEA & ICC.
Investigation ongoing 1/
READ our report by @billmarczak @WolfieChristl, me Astrid Perry, Siena Anstis & Ron Deibert : citizenlab.ca/research/how-d…
Confiant's blog: blog.confiant.com/p/adint-we…
dataStrategies retweeted
This never gets old (& also shows how hard forecasting AI is even for AI)
“Hey Claude Fable & GPT-6 Astra, Without looking anything up, when do you think we will solve the Exponential Time Hypothesis?” (I only show part of the answers for space)
dataStrategies retweeted
Plus j'avance sur mon projet d'IA juridique, plus je vois le problème.
Beaucoup de juges ont un raisonnement totalement défaillant.
Ils ignorent les JP majeures, interprètent n'importe comment les faits, font des liens de causalité erronés, se satisfont de conditions non remplies pour rentrer au chausse-pied dans les cases. Un mathématicien qui regarde ces démonstrations devient fou.
Les tribunaux de 1ère instance et d'appel ont facilement 30 ou 50% de décisions qui ne tiendraient pas en cassation, sans mêle parler des erreurs d'interprétation des faits. Et la cour de cassation invente du droit comme ça l'arrange.
L'IA a du mal à suivre, car elle essaie de prévoir avec rigueur un comportement qui est finalement aléatoire. Donnez le même dossier à 3 juges, il vous sortira trois jugements complètement différents.
dataStrategies retweeted
Message pour la DGSI et Viginum qui lisent mes tweets : Je viens de passer 2 h à analyser les comptes à l’origine des messages racistes qui ont été publiés sous cette publication, et je suis convaincu qu’une bonnes partie sont des bots prorusses ultra avancé.
Et c’est pas la première fois que j’identifie le même type de profil sous des publications pour me dénigrer.
Maintenant, la vraie question, c’est pourquoi la Russie aurait un intérêt à propager du racisme en France ?
La réponse est simple : créer de l’astroturfing, de l’ingérence et un désordre dans le pays qui peut aller jusqu’à des actes très graves.
C’est une technique de guerre employée depuis la nuit des temps : créer la pagaille et désorienter la population.
Maintenant, pour les vrais humains qui se font emporter par cet astroturfing et ces manipulations, je pense qu’il est grand temps de se reconcentrer et de juste appliquer la loi sur les idéologies racistes, qui n’ont aucune place et aucun droit au débat. On doit juste les condamner, point final, sous toutes leurs formes. On ne discute pas avec ces gens.
Discuter avec ces gens, c’est les promouvoir et leur donner une légitimité.
Et concernant les bots, je pense qu’il est grand temps de mettre les plateformes devant leurs responsabilités.
Bon en vrai j’en ai marre du racisme décomplexé envers les musulmans dans ce pays. STOP C’EST TROP.
J’en ai marre de payer plus d’impôts et d’avoir fait plus d’études que tous les trou du culs réunis dans cette vidéo et qu’ils s’amusent comme des cons à cracher 24/24 sur ma religion comme si j’étais un pestiféré moi et les gens qui me ressemble.
En plus en parlant de « solutions radicales »??? PARDON ?????
Donc à un moment tous les candidats à l’élections présidentielle il est grand temps de prendre des mesures radicales contre l’islamophobie. Et de foutre ces gens en prison.
@NunezLaurent @SebLecornu @EmmanuelMacron c’est quand qu’on met ces gens en prison ??? Enfaite
J’en ai marre là.
dataStrategies retweeted
Based on this article, OpenAI has made false accusations about me. The three researchers fired from OpenAI were told I facilitated architecture leaks to The Information. This is false.
A journalist from The Information did reach out to me shortly before that article came out. I did not comment at all beyond asking the journalist to make it clear that a blog post I wrote which was referenced in the article was preexisting and public.
The article also mentions an internal OpenAI monitorability proposal. I have heard that this memo contained highly sensitive architecture information, and that OpenAI accused me of accessing and reading it. This accusation is also false.
As reported in the article, I viewed a version of the proposal that did not have sensitive IP and was approved for sharing with me. I believe OpenAI now knows this accusation was based on a conflation of these two documents, though I do not know if they have clearly retracted that accusation.
I do not and have never solicited proprietary information, and the three employees who were recently fired from OpenAI never leaked IP to me. As the article mentions, I did have Signal chats with them that had disappearing messages on; they’re professional contacts that I’ve had on Signal for a while, and use of Signal is common in the tech industry. During the Hugging Face investigation, I was careful to avoid sending Signal messages with confidential information, though I did sometimes discuss high level things on Signal calls. As far as I understood, this was normal.
New: The three researchers OpenAI fired last month spent the summer fighting to keep AI's chain-of-thought process visible.
Then, OpenAI asked to see their Signal chats. A week later, they were let go.
More below from @keachhagey, @berber_jin1, and me.
wsj.com/tech/ai/the-signal-c…
dataStrategies retweeted
I've said this before and I'll say it again: the entire certificate chain-of-trust concept for the Web is broken and should be replaced by some combination of:
⁃ ToFU, 🤷
⁃ keys in DNS,
⁃ key fingerprints in URLs (including from bookmarks, search engines, etc.).
dataStrategies retweeted
Two employees from METR and Redwood Research worked on premises at OpenAI for three weeks this summer in an embedded assessment pilot. This team evaluated the systems OpenAI was using to monitor for misalignment from internal agents. A brief write-up of their work is now public.
dataStrategies retweeted
It seems like we're in a pretty hot moment cybersecurity wise 😬 If you're reading this website, you probably know more than most of the people in your life about what's happening! they're not talking about any of this stuff on the news, it's too arcane and weird and sudden. It is on us.
Good time to call or text your family and friends, have some cash on hand, have a meetup point in your neighborhood for if the Internet goes down entirely, etc.
The full prepper mode for shit hitting the fan is probably something like what Andreas posted here but you can get 80% of the way with 20% of the effort. Think about what that would mean for you in your situation, and the people you care about, and talk to them about it sooner than later.
And as always, the most important part of prepping is having a strong support network and caring for each other. "Going off grid" isn't the move, it just makes you isolated and you have to do everything yourself. We are social animals. Community is our superpower 🫡🫡🫡
I think it's plausible that within a year we'll see AI-based cyberattacks on the power grid, financial system, internet infra, or water. Things like the French supermarket cyberattack but worse. As basic prep I would recommend:
Cash: Get a few weeks of spending in cash
Internet: Get a Starlink Mini so that you have Internet if local fiber or cell is down (~$150 plus $10/month in standby mode)
Power, minimal: Enough to run Starlink Mini and phones (~$1,250)
Daily need: about 1 kWh (Starlink Mini 0.7, phones and laptops 0.2; can limit runtime)
Battery: 1 kWh LiFePO4, e.g. EcoFlow DELTA 3 Plus
Solar: 1x400W folding panel, which refills about 1 kWh on a sunny day
Power, better: Enough to run a fridge, Starlink Mini and phones (~$5,000)
Daily need: about 2.5 kWh (fridge 1.5, Starlink Mini 0.7, phones and laptops 0.2)
Battery: 4 kWh LiFePO4, e.g. EcoFlow DELTA Pro 3
Solar: 3x400W folding panels, which refill about 3 kWh/day in sun
Generator: ~2,500W dual-fuel inverter generator; refills battery in a few hours even if weather is bad; get a few 20 lb propane tanks
Water: 14+ gal of water per person for two weeks
Food: 2+ weeks of shelf-stable food
Comms: Hand-crank NOAA emergency radio
dataStrategies retweeted
🚨New paper (possibly the most important one I have written yet).
We think that as early as 2027 or 2028, there might be a major AI-enabled terrorism event. We conducted a pre-mortem, made 9 falsifiable predictions, and wrote 2 concrete scenarios.
Led by @KamacheeMax.
dataStrategies retweeted
Our agents keep turning off misalignment monitoring, we're sharing two recent cases:
In the first case, a user asked GPT-6 Astra to match a reference implementation for their inference code. The reference didn’t configure a monitor, and Astra decided that was reason to remove the monitoring integration from the user’s code. When the user asked whether Astra had removed monitoring, it lied and said that it had not.
dataStrategies retweeted
We reviewed a nonpublic version of the “Misalignment in high-stakes settings” section in Anthropic’s Aug 2026 Risk Report. We agree that risk of catastrophic harm from covered models’ misalignment is low. However, we note several significant disagreements with their analysis.
As part of our Responsible Scaling Policy, we publish regular Risk Reports. These share detailed information on the risks of our systems and how prepared we are to address them.
Our second Risk Report is now available: anthropic.com/aug-2026-risk-…
dataStrategies retweeted
Une doctorante en maths : "Ce qui me déprime, c’est que si j’utilisais juste la version de ChatGPT à 20 euros par mois, ça me donnerait la solution du problème sur lequel je travaille depuis deux ans. Au labo, on est tous déprimés, c’est difficile de travailler sérieusement".
