chris

64 posts

chris

chris

@csammons13

Frisco, TX Katılım Ocak 2021
112 Takip Edilen31 Takipçiler
Claude 🇺🇸🎙️
Claude 🇺🇸🎙️@ClaudeNaggar·
@SawyerMerritt Correct me if I’m wrong, but if mass Robotaxi rollout is dependent on the AI-5 chip, aren't we looking at a delay of over 18 months? High-volume production for that hardware isn't slated until mid-to-late 2027.
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Sawyer Merritt
Sawyer Merritt@SawyerMerritt·
Tesla FSD V14.3.2 has just started rolling out to early access users. There is something new in the release notes: Tesla has unified the model between Actually Smart Summon, FSD, and Robotaxi for more capable and reliable behavior.
Sawyer Merritt tweet media
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chris
chris@csammons13·
@robotaxi Yeah but I need you to on Android. Thanks.
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chris@csammons13·
@elonmusk @Tesla_AI I wish FSD let you create your own route by manually driving the path you want, then set it as the primary option — with the ability to divert as a safe secondary. In DFW, my work commute has brutal bottlenecks, so I divert to back roads to avoid them.
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Elon Musk
Elon Musk@elonmusk·
FSD 14.3 release notes @Tesla_AI
Tesla AI@Tesla_AI

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.

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David Moss
David Moss@DavidMoss·
FSD v14.3 vs Dallas DFW Airport Terminal D curbside drop off with @scotsrule08 It was a wild success! Wow
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chris
chris@csammons13·
@Tesla_AI I wish FSD let you create your own route by manually driving the path you want, then set it as the primary option — with the ability to divert as a safe secondary. In DFW, my work commute has brutal bottlenecks, so I divert to back roads to avoid them.
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Tesla AI
Tesla AI@Tesla_AI·
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.
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chris@csammons13·
@chickenguy When is the Dallas one opening?!
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Chicken Guy!
Chicken Guy!@chickenguy·
Tend to your Chicken Guy! cravings.
Chicken Guy! tweet media
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Dez Bryant
Dez Bryant@DezBryant·
I’m putting 20k on red or black The color I get the most that’s where I’m putting the 20k on 🤑 Going live so you know it’s real
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Texas Rangers
Texas Rangers@Rangers·
Repost for a chance to win this signed Adolis García baseball and World Series Championship beanie!
Texas Rangers tweet media
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chris@csammons13·
@Rangers LETSSSSSS GOOOOOOOOOOOOOOOOO
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Texas Rangers
Texas Rangers@Rangers·
Another week, another giveaway! Repost for a chance to win this Mitch Garver signed baseball and World Series Champions hat.
Texas Rangers tweet media
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chris
chris@csammons13·
@jlkurtz correct me if I'm wrong but didn't the pac-12 have a TV offer (that they didn't like) then went to the open market prior to all of this?
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chris
chris@csammons13·
@gortond21 The hard truth no OSU fan wants to admit... you're screwed.
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Danny
Danny@Beavlieve·
The hard truth no Big 12 fan wants to admit… The Pac 9 + SDSU is still better than the Big 12.
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College Sports Only
College Sports Only@CSOonX·
Where does Larry Scott passing on inviting Texas & Oklahoma to the Pac-12 rank on the all-time biggest sports blunders? 🤔
College Sports Only tweet media
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chris
chris@csammons13·
@jasonscheer Suddenly realizing the end is near.
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chris@csammons13·
@johncanzanobft If this happens I just want to congratulate youon losing possibly all credibility
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chris@csammons13·
@samantha_cass @WDWNT Apple is worth $3 trillion. Disney is worth $161.94 billion. Disney won't be acquiring Apple anytime soon but Apple can certainly buy Disney.
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Sam
Sam@quesoandmargs_·
@WDWNT Don't do it, Bob. I always assumed they'd look to acquire Apple not the other way around.
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WDW News Today
WDW News Today@WDWNT·
BREAKING: CEO Bob Iger Considering Selling Streaming Services and Other Assets, May Even Try to Sell Entire Disney Company wdwnt.news/20230717003
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