🚨 GIVEAWAY ALERT 🚨
Win a Trip to Game 2: Habs vs Canes ✈️🏒
One lucky fan + their friend are heading to Carolina for Game 2 thanks to FlightHub - one of Canada’s largest online travel agencies and proudly based right here in Montreal 🇨🇦
🏆 Prize Includes:
• Roundtrip flights from Montreal (YUL)
• Hotel stay minutes from Lenovo Center
• 2 tickets to Game 2 in Carolina
HOW TO ENTER:
✅ Follow @FlightHub & @thesickpodcasts
✅ Comment below tagging the friend you’re bringing with you
✅ RT this post
Contest closes Tuesday, May 19 at 12PM ET. Winner announced later that day.
Full contest rules & conditions:
https://t.co/Ipi1LHhGHc
Contest open to Quebec residents 18+ only. Winner must be available to travel on game dates. This contest is not affiliated with, sponsored by, or endorsed by the Montreal Canadiens, the Carolina Hurricanes, or the NHL.
@TimCPeel20@StuCowan1@SiriusXMNHL@GordStellick Someone in Toronto could review each call (takes 5-10 seconds max) to make sure there is no phantom call. Not more complicated than that. Calling 4 or 5 mins penalties just to go review because all four refs missed something is not a better look on you guys
En l'honneur du 50e anniversaire de « Je reviendrai à Montréal », et juste à temps pour les séries de 2026, Jérôme Charlebois a enregistré une nouvelle version du classique de son père, Robert
In honor of the 50th anniversary of "Je reviendrai à Montréal", and just in time for the 2026 Playoffs, Jérôme Charlebois has recorded a new cover of his father Robert's classic song
#GoHabsGo
The coolest orbital animation I've seen of Artemis 2
Just really shows you how far away they're flying today and also how precise they need to be to go to the moon
I have always wondered what airline reservation systems look like and why they require so much typing. Claude code built me a simulator and deployed to Replit so you can see how crazy the interface is.
https://t.co/plJLbNSo0k
The math on this project should mass-humble every AI lab on the planet.
1 cubic millimeter. One-millionth of a human brain. Harvard and Google spent 10 years mapping it. The imaging alone took 326 days. They sliced the tissue into 5,000 wafers each 30 nanometers thick, ran them through a $6 million electron microscope, then needed Google’s ML models to stitch the 3D reconstruction because no human team could process the output.
The result: 57,000 cells, 150 million synapses, 230 millimeters of blood vessels, compressed into 1.4 petabytes of raw data. For context, 1.4 petabytes is roughly 1.4 million gigabytes. From a speck smaller than a grain of rice.
Now scale that. The full human brain is one million times larger. Mapping the whole thing at this resolution would produce approximately 1.4 zettabytes of data. That’s roughly equal to all the data generated on Earth in a single year. The storage alone would cost an estimated $50 billion and require a 140-acre data center, which would make it the largest on the planet.
And they found things textbooks don’t contain. One neuron had over 5,000 connection points. Some axons had coiled themselves into tight whorls for completely unknown reasons. Pairs of cell clusters grew in mirror images of each other. Jeff Lichtman, the Harvard lead, said there’s “a chasm between what we already know and what we need to know.”
This is why the next step isn’t a human brain. It’s a mouse hippocampus, 10 cubic millimeters, over the next five years. Because even a mouse brain is 1,000x larger than what they just mapped, and the full mouse connectome is the proof of concept before anyone attempts the human one.
We’re building AI systems that loosely mimic neural networks while still unable to fully read the wiring diagram of a single cubic millimeter of the thing we’re trying to imitate. The original is 1.4 petabytes per millionth of its volume. Every AI model on Earth fits in a fraction of that.
The brain runs on 20 watts and fits in your skull. The data center required to merely describe one-millionth of it would span 140 acres.
@EvanLSolomon@thenarwhalca A study conducted by @IEA estimated that in 2023, data centres around the world consumed around 140 billion litres of water JUST for cooling.
The water has to be potable, otherwise it damages equipment.
What's the plan @EvanLSolomon?
https://t.co/TsBVxgNU3b
@DLCoulisses Rumeur? Tout ca basé sur un tweet qui mentionne des équipes de l’est qui seraient intéressés à Kane. Aucun lien avec le Canadiens 😂 vous travaillez fort pour les clicks ces temps-ci!