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Steve Rioux
2.5K posts

Steve Rioux
@Zat0ichi
🚀🎯📘 iOS and Android App Maker / Author of gamebook “You are Elon Musk” / https://t.co/ffjxaMOQNX
Canada Katılım Mart 2009
323 Takip Edilen372 Takipçiler

Quebec French mainly comes from regional French dialects brought by settlers from northwestern France, especially Normandy and nearby regions. It later absorbed English influence after British rule. Modern Quebec French is generally more standardized and internationally intelligible than older forms of joual, though joual is still part of Quebec culture.
English

@CryptoP6814694 @Zat0ichi @Bennieeexyz I actually have no idea, probably a mixture of french and English, but in France people are definitely not used to the quebec accent, in the south there's accent as well but they are way more understandable than Quebec for some reason, but a lot of french love the accent.
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Me trying to order in French at a Paris restaurant:
Me: Je voudrais le... um... le poulet... avec... ah...
Waiter: Shall I speak English, sir?
Me: No no I got it. Je suis... no wait that's I am. Um.
Waiter: (waiting)
Me: Le poulet avec... le... sauce?
Waiter: The chicken with sauce.
Me: Oui. Yes. That one.
Waiter: And for sides?
Me: (points at menu)
Waiter: The potatoes?
Me: Oui.
Waiter: And to drink?
Me: Um. Le... eau?
Waiter: Water. Of course.
Me: Merci.
Waiter: You're welcome. Your French is coming along.
Me: (knows it is not coming along)
Me: Merci.
Waiter: You said that already.
Me:
Me:
Me: Baguette.
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Codex usage limits have now been reset across all paid plans. Enjoy the weekend!
Tibo@thsottiaux
We found and fixed two issues that could explain this degradation of the capability of GPT-5.5 in Codex over the last ~ 48 hours. We are monitoring over the coming hours to fully confirm and I will reset usage limits this evening. Apologies and now is the time for /fast maxxing.
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@PeterDiamandis So many people in the comments are not ready for what's coming. The singularity will come soon. Stay tuned!
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The strongest through-line here is that compute is no longer just an input to AI progress; it's becoming the geopolitical, energy, and civic substrate everything else reorganizes around. The data-center opposition point feels especially important: the bottleneck may turn out to be legitimacy and local consent as much as silicon.
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@Davidproulx C’est vraiment cool, mais il pourrait y avoir blocage comme pour les AirPods Pro, en raison de la réglementation:
- règles fédérales de dispositifs médicaux,
- règles provinciales sur les aides auditives et leur distribution.
carp.ca/2026/05/05/why…
Français

800 millions de personnes sur la planète ont besoin d'un appareil auditif.
20 % seulement ont les moyens de s'en payer un.
Le coût moyen aux États-Unis : 4 700 dollars.
Des étudiants de McMaster en Ontario viennent d'en faire un pour 20 dollars.
Pas une version dégradée. Un changement de paradigme complet.
👉Au lieu de circuits imprimés et d'électronique, ils ont répliqué mécaniquement ce que fait l'oreille humaine.
Tympan. Osselets. Imprimé en 3D.
Tu prends une photo de ton oreille avec une pièce de monnaie comme référence de taille.
L'IA mesure exactement, génère le design sur mesure, l'imprimante 3D locale imprime.
Le test auditif se fait sur une plateforme infonuagique accessible par le web.
Coût total de l'opération : 20 dollars.
😲 Ce qui me frappe, c'est pas juste le prix.
C'est que pendant des décennies, on a laissé des quasi-monopoles dicter le coût de la santé auditive.
Le leader mondial de l'appareil auditif vaut 10 milliards. Bien établi. Bien connecté.
Quel intérêt a-t-il à faire fondre ses propres coûts ?
L'innovation qui dérange, ça vient pas de là. Ça vient de jeunes qui ont faim.
Des jeunes qui voient un problème dans la vie de leur famille et qui décident de le régler.
Chris Arsenal l'a dit il y a deux jours au cercle Canadiens de Montréal : « L'innovation n'est pas un risque à gérer, c'est un levier à activer. »
Ça s'appelle Amano. C'est en précommande sur leur site Internet, lien dans les commentaires ⬇️
Bonne écoute.
Français

Grok Voice Think Fast 1.0 is officially the most well-rounded agentic voice AI on the market right now
It now ranks #1 in the latest τ-Voice agentic performance benchmarks in real-world tests on Artificial Analysis
The gap is massive. xAI is quietly taking over every other model by actually building for real-world use instead of just lab demos...

English

En raison du blocus pétrolier, Cuba voit son tourisme s'écrouler. La chaîne Meliá ferme plusieurs hôtels et Varadero est déserte. De La Havane aux plages, le vide est total. Les Cubains survivent tant bien que mal, mais il s’agit d’un désastre. @jmleprince
Français

@alexwg @Davidproulx la meilleure newsletter sur l’IA et la technologie.
Français

@Zat0ichi @OpenAI GPT-Realtime-2 audio: $32 per 1M input tokens ($0.40 cached), $64 per 1M output tokens.
Text: $4 input / $24 output per 1M tokens (cached $0.40).
See full details at openai.com/api/pricing.
English

Introducing GPT-Realtime-2 in the API: our most intelligent voice model yet, bringing GPT-5-class reasoning to voice agents.
Voice agents are now real-time collaborators that can listen, reason, and solve complex problems as conversations unfold.
Now available in the API alongside streaming models GPT-Realtime-Translate and GPT-Realtime-Whisper — a new set of audio capabilities for the next generation of voice interfaces.
English

Introducing SubQ - a major breakthrough in LLM intelligence.
It is the first model built on a fully sub-quadratic sparse-attention architecture (SSA),
And the first frontier model with a 12 million token context window which is:
- 52x faster than FlashAttention at 1MM tokens
- Less than 5% the cost of Opus
Transformer-based LLMs waste compute by processing every possible relationship between words (standard attention).
Only a small fraction actually matter.
@subquadratic finds and focuses only on the ones that do.
That's nearly 1,000x less compute and a new way for LLMs to scale.
English

Demis Hassabis says our brains are likely to be approximate Turing machines.
AlphaFold showed why that matters: protein folding looked like a quantum problem, but a classical neural network could model it well enough to solve it.
The world may be quantum, but understanding it may only need the right approximation.
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