Colby 🏒

@SNPittsburgh @DanPotashTV Future is bright for the pens. He’s learned a lot by sitting next to Sid. He’ll be the next captain of the pens

Absolutely heartbreaking quote from Kindy on that last shift against Philly 😢 "Still kind of sick to my stomach... use it as motivation in the future to do whatever we can to not let it end like that again."

@penguins @DanPotashTV

Family 💛

@BussinWTB Run it back

Is this the last we see of the big 3?

@spittinchiclets Need to back this up about 10 seconds to show the cross check that started it. You can’t take only 1 guy in a 0/0 game with a battle in front of the net. SMH

Letang’s wires crossed at the buzzer and the Flyers will start the 3rd on the PP 🥊

Bush league…. Fake an injury so you don’t have to go out after an icing

What a gang!!! Go boys

Take a bow, boys 👏

Sid still has it. 🐐

🐐

@PenguinsJesus Pens in 7

Good morning, Penguins fans. The reverse sweep begins tonight.

Fuck the Flyers

@PatMcAfeeShow Such a beauty

"I wish I could have the same diet as Alexander Ovechkin 😂😂 That's a nice program" ~ Sidney Crosby #PMSLive

@nickmaraldo @dirdygirdy Sid is the mayor of Philly like how Big Ben owned the Browns 🐧

LET'S GO PENS 🐧🐧🐧

Get in the fast lane grandma, the Pittsburgh penguins are back in the playoffs!!!

@Tesla_AI Big update for HW3 owners…name change to their FSD!!!!

New release of FSD Supervised now starting to roll out This update brings 20% faster reaction time to further increase safety, among many other improvements Full release notes below Full Self-Driving (Supervised) v14.3 includes - Upgraded the Reinforcement Learning (RL) stage of training the FSD neural network, resulting in improvements in a wide variety of driving scenarios. - Upgraded the neural network vision encoder, improving understanding in rare and low-visibility scenarios, strengthening 3D geometry understanding, and expanding traffic sign understanding. - Rewrote the AI compiler and runtime from the ground up with MLIR, resulting in 20% faster reaction time and improving model iteration speed. - Mitigated unnecessary lane biasing and minor tailgating behaviors. - Increased decisiveness of parking spot selection and maneuvering. - Improved parking location pin prediction, now shown on a map with a (P) icon. - Enhanced response to emergency vehicles, school buses, right-of-way violators, and other rare vehicles. - Improved handling of small animals by focusing RL training on harder examples and adding rewards for better proactive safety. - Improved traffic light handling at complex intersections with compound lights, curved roads, and yellow light stopping – driven by training on hard RL examples sourced from the Tesla fleet. - Improved handling for rare and unusual objects extending, hanging, or leaning into the vehicle path by sourcing infrequent events from the fleet. - Improved handling of temporary system degradations by maintaining control and automatically recovering without driver intervention, reducing unnecessary disengagements. Upcoming Improvements - Expand reasoning to all behaviors beyond destination handling. - Add pothole avoidance. - Improve driver monitoring system sensitivity with better eye gaze tracking, eye wear handling, and higher accuracy in variable lighting conditions.

Hey @elonmusk @Tesla_AI, did yinz finally throw in the towel on FSD for HW3 vehicles. New update shows a change in naming 🤔. Asking for a friend 🤓

🐐

That’s a home ice win for the @penguins! 🐧

Hey @penguins fans, Geno is back! 👏

MASSIVE dub for the @penguins! 😱