TLDR: if you have a family history of cancer- do genetic testing. Maybe do it even if you donβt.
I was diagnosed with a rare genetic mutation known as #CDH1. In men, itβs likely to cause stomach cancer.
In January, doctors at @MSKCancerCenter found cancer in my stomach. (1/n)
What a historically bad take from @ConsumerReports - Tesla Full Self Driving (Supervised) is safer than manual driving! Also FSD is not a lane centering system - itβs way more!
@ibuildthecloud@ngriffin_uk This is valid. I didnβt learn that I had to enable it for other providers until I saw this thread. I use OC a lot too. I saw it searching sometimes, but alas that must have only when using OC provider, and I use other providers as well, so the defaults were confusing to me.
Thanks @Tesla for replacing my tire! Totally a smooth experience. Kudos to the tech for their fast service!
Tesla Wheel and Tire Protection Plan for the win!
This is what a slow tire leak looks like (red line) from the data on my Model 3. I think itβs cool that the data from all tires matches up cleanly, then starts to diverge.
Service appointment scheduled and I have the Tesla Tire Protection Plan on this car π.
@OwenSparks So cool, I didnβt know you could do this!
I would just tap on the data and it would bring up the screen with all the trips in the Energy app.
This is what a slow tire leak looks like (red line) from the data on my Model 3. I think itβs cool that the data from all tires matches up cleanly, then starts to diverge.
Service appointment scheduled and I have the Tesla Tire Protection Plan on this car π.
@tommolog@BMW I had a 2019 i3 REx! It was a great car! The lease payment was so low because no one was buying them π. This was the car that convinced my family that we could go all electric!
@mvanhorn@ppressdev I built a skill based on browser automation for Instacart automation. No private apis.
Used it to cross check Costco vs Grocery Store for best prices.
The agent could check if the shopper wrote anything and respond to the shopper.
The future is going to be wild.
@wmorrill3 I know @Tesla safety first hand, it saved my life. These changes are a huge deal and make things even safer. No other company would add features to their vehicle safety systems via OTA, itβs truly a worldβs first here. Thanks for sharing and thanks for everything you do!
My 2023 Tesla Model 3 saved my life. An oncoming driver made a left turn into the car, causing a full frontal head on collision. The car even called 911 for us, which lead to first responders arriving quickly to the scene. Thank you @Tesla & @elonmusk for building a safe car.
Tesla Vision allows us to deploy airbags up to 70 milliseconds earlier if your Tesla detects an unavoidable collision
This can be the difference between serious injury & walking away from a crash
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 β 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.