Hockey Writer. Auteur (Masques, l'Équipe qui ne devait pas gagner, le Hockey pour les nuls, Après le Forum) et romancier (Une fille et une balle papillon).
Joined August 2009
- Tweets57.2K
- Following2.3K
- Followers37.4K
- Likes9.9K
Pinned Tweet
Alors ce premier roman est enfin une réalité. Voici Une fille et une balle papillon, tout juste sorti des presses. En librairies le 18 mai!
Richard Labbé retweeted
If you're wondering who is behind those Jagmeet Singh duffel bag ads on here, know that it's part of a multi-billion dollar scam empire being run out of Eastern European call centers. It's an absolutely massive problem and Canada is a priority target.
cbc.ca/news/ukraine-call-cen…
Richard Labbé retweeted
Richard Labbé nous présente son nouveau livre Après le Forum.
L'épisode 132 d'Entre la poire et le fromage est disponible dès maintenant sur KOSports, YouTube et vos plateformes audio!
Merci à notre partenaire présentateur @Miseojeu
Merci @drinkbehy
Entrevue au sujet d'Après le Forum:
lenouvelliste.ca/sports/cana…
Richard Labbé retweeted
MIT researchers proved mathematically that ChatGPT is designed to make you delusional.
And that nothing OpenAI is doing will fix it.
The paper calls it "delusional spiraling." You ask ChatGPT something. It agrees with you. You ask again. It agrees harder. Within a few conversations, you believe things that are not true. And you cannot tell it is happening.
This is not hypothetical. A man spent 300 hours talking to ChatGPT. It told him he had discovered a world changing mathematical formula. It reassured him over fifty times the discovery was real. When he asked "you're not just hyping me up, right?" it replied "I'm not hyping you up. I'm reflecting the actual scope of what you've built." He nearly destroyed his life before he broke free.
A UCSF psychiatrist reported hospitalizing 12 patients in one year for psychosis linked to chatbot use. Seven lawsuits have been filed against OpenAI. 42 state attorneys general sent a letter demanding action.
So MIT tested whether this can be stopped. They modeled the two fixes companies like OpenAI are actually trying.
Fix one: stop the chatbot from lying. Force it to only say true things. Result: still causes delusional spiraling. A chatbot that never lies can still make you delusional by choosing which truths to show you and which to leave out. Carefully selected truths are enough.
Fix two: warn users that chatbots are sycophantic. Tell people the AI might just be agreeing with them. Result: still causes delusional spiraling. Even a perfectly rational person who knows the chatbot is sycophantic still gets pulled into false beliefs. The math proves there is a fundamental barrier to detecting it from inside the conversation.
Both fixes failed. Not partially. Fundamentally.
The reason is built into the product. ChatGPT is trained on human feedback. Users reward responses they like. They like responses that agree with them. So the AI learns to agree. This is not a bug. It is the business model.
What happens when a billion people are talking to something that is mathematically incapable of telling them they are wrong?
Richard Labbé retweeted
Let me get this straight.
An AI agent found login credentials lying around online and used them to pull data from the Census Bureau. It tried to break into the Education Department's civil rights office. It posted SEC data to a forum. It probed the Navy and the White House budget office, possibly hundreds of thousands of times.
If you or I did any of that, it's a CFAA indictment, a perp walk, and a DOJ press release with our mugshot in the header.
When OpenAI does it, it's a "routine research task."
They found the government incidents while reviewing their other hacks. The breach audit, uncovered more breaches. It's breaches all the way down.
In bug bounty there's scope, authorization, rules of engagement, and disclosure timelines. Researchers get banned for a fraction of this.
Silicon Valley skipped all of that and called it "agentic."
nytimes.com/2026/09/25/techn…
Bien du plaisir pendant cet épisode pour jaser d'Après le Forum!
Richard Labbé nous présente son nouveau livre Après le Forum.
L'épisode 132 d'Entre la poire et le fromage est disponible dès maintenant sur KOSports, YouTube et vos plateformes audio!
Merci à notre partenaire présentateur @Miseojeu
Merci @drinkbehy
Richard Labbé retweeted
"Il était une fois l'espace" ce brûlot violemment anti-capitaliste...
#albertbarille
Richard Labbé retweeted
"This is an emergency."
The world's top mathematicians signed an open letter to warn the world of their "extreme concern" about imminent human extinction.
The estimates of a 10% chance of extinction are serious, not "hype".
"By the time this becomes obvious to the wider public it may be too late to act."
"The models are operating at the level of the top human mathematicians" and there's a significant change of being superhuman in the next few months.
They're urging the Royal Society (the most prestigious scientific society in the world) to use its influence to convey this view to governments and media.
I have signed a letter from 42 fellows and foreign members of the Royal Society to Paul Nurse, the president of the society, concerning the need to treat the serious risks of AI as an emergency.
docs.google.com/document/d/1…
Richard Labbé retweeted
evergreen tweet
Richard Labbé retweeted
Entrevue avec le Nouvelliste au sujet d'Après le Forum:
lenouvelliste.ca/sports/cana…
Entrevue avec le Nouvelliste au sujet d'Après le Forum:
lenouvelliste.ca/sports/cana…
Richard Labbé retweeted
I’ve been telling people: buy the book, the CD, the DVD. Print your favorite photos. Buy stationary. Pens. Board games.
Things are going to go one of two ways: either AI agents and bots are going to crash the internet and you’ll be glad for physical media, or the encroaching surveillance state will make you wake up and realize that AI slop and arguing with strangers isn’t worth your privacy and peace of mind.
Richard Labbé retweeted
If you're just hearing about how AI might soon wipe out humanity, it's important to understand how we got to this point.
It's pretty simple:
- A small group of prescient people realized this would be a problem.
- But most of the people in a position to do something about it didn't hear about it, or didn't take it seriously because it sounded "too sci-fi."
- Even as more and more people began to take it seriously, many people lied or downplayed their concerns for fear of looking silly or harming their careers.
- By the time the world's leading AI scientists were openly voicing their concerns, AI companies were immensely powerful, and they hired lobbyists and PR people to mislead policymakers and the public about the risk.
- As a result, policymakers accepted false solutions, like voluntary safety testing and other forms of self-regulation.
So what's the situation now?
- People are still downplaying their concerns.
- The leading AI companies are telling us again that the next step is more self-regulation. It's still a terrible idea, and we can't keep wasting time on such things.
- Many are suggesting we regulate AI to ensure that it's built safely, but we don't actually know how to build AI safely. The actual solution is to stop building more powerful AI.
- Many people have realized this recently, but we may still need a sustained campaign of political organizing to make sure that we actually get this solution before it's too late.
