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TSLABiz
708 posts
TSLABiz
@TSLABiz
Tesla stock | business strategy | earnings & deliveries Robotaxi/FSD/energy analysis ⚡ #TSLA
Katılım Mart 2026
81 Takip Edilen212 Takipçiler
A thousand little conveniences add up to a seamless experience
Devin Olsen@DevinOlsenn
Close Windows on Lock is such a great feature, hard to believe Tesla is one of the only car companies that does this. @Tesla
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Actually Smart Summon now reacts a lot faster
Scott Dembraski@SDembraski
I. Love. Smart Summons. I am going to use it as much as I can now. It truly is usable. Here are some examples. Go test it out. I think you will be very impressed.
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Teams encapsulated the Cygnus XL spacecraft ahead of Falcon 9’s fourth launch of @northropgrumman's commercial resupply mission to the @Space_Station → spacex.com/launches/ng24
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Tesla V14.3 self-driving review. The point releases will bring polish.
V15 will far exceed human levels of safety, even in completely unsupervised and complex situations.
Zack@BLKMDL3
600 miles in with FSD v14.3 already and here are my thoughts: The improved reaction time is immediately noticeable and definitely quicker than a human could react. Yesterday a semi truck swerved fast into my lane and the car reacted insanely quickly to get me around them. Tesla says it’s 20% quicker but feels more than that- and it was already extremely good. I’ll start by saying FSD was already so great with v14.2 that it’s sometimes hard to find new things, but there some huge apparent changes immediately noticeable with v14.3. To those who think it’s not a big improvement over v14.2.x+, you’ll be very impressed and especially with some more polish. The reinforcement learning upgrades and thinking are noticeable. Parking is where you immediately notice some changes. In the release notes it says that parking is quicker and more decisive and it’s true. It has picked spots closer and quicker to the selected pin. My Y isn’t showing the new P pin graphic for parking pin for some reason, but it’s definitely parking closer than before with more thought to it. Looking forward to eventually getting more options to hopefully park either closer or further away from people. For the very first v14.3+ build, I have to say it’s pretty polished. The only gripe I have is the way it won’t get out of the left lane soon enough on highways. It likes to cruise in the left lane which isn’t ideal, it’s gotten better but the addition of reduction in unnecessary lane changes needs to be dialed back a bit. Lane changes are a huge plus with this build and they are quick, decisive and executed very well, smooth as butter too. Turn signals come on at way better times now in parking lots and at the perfect time on the road. I was lucky enough to get the update with 600 miles left of my 1800 mile Oregon road trip, so I pulled over to install it so I could get as much experience as possible with it to share with you all. So far 600+ miles in, I’m impressed. A few rough edges with the left lane behavior and the last few inches of parking are a bit slow 1/5 times until it puts it into park but with a point release update everything should be dialed in. The 350 mile drive home today from the Bay Area had zero intervention including all parking and charging. One thing I would love to see implemented is a reset button for the FSD stats page. Would be cool to have a specific trip meter for FSD stats on Trip A/B or make your own trip. I’ve been hinting at a pretty cool road trip next month with my 2025 Model 3 so it would be cool to have a reset for that. Speed control seems good on highways, it’s matching traffic speed great. Braking is very impressive for sudden slowdowns, had a big one in San Jose last night it did a great job with from 80-10mph. HUGE improvements with stop sign behavior. The acceleration and deceleration are way smoother than before, much more pleasant. Mad Max takes off strong but again, a better curve than before. Mad Max is also polished a bit and feels great. FSD v14.3 did a great job in LA traffic once I got back and will go out this evening to film videos for everyone on my normal test loops. Let me know if there’s anything specific I should try or check out. Can’t wait to see how v14.3+ progresses especially with the upgraded reasoning coming to all scenarios soon. Some awesome additions here. THANK YOU everyone @Tesla_AI for all the hard work getting this update out. More videos to come.
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TSLABiz retweetledi
Basically how my driveway is going to look like
Joe Tegtmeyer 🚀 🤠🛸😎@JoeTegtmeyer
How about a few more pics of ~60 Cybercabs!
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TSLABiz retweetledi
Grok Law
X Freeze@XFreeze
Grok-4.20 just ranked #1 in Legal & Government on Chatbot Arena It’s officially outperforming Anthropic’s Opus 4.6 and Google’s Gemini 3.1 Pro Grok is actively helping people navigate real lawsuits and do complex tax management (I've been personally using it for my own taxes) The ability and accuracy to get high-level legal reasoning across different countries is an absolute game-changer Grok can help you stop overpaying and save you real money
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Tesla puts a lot of effort into ensuring that our cars don’t run over animals
Sawyer Merritt@SawyerMerritt
More than 350 million vertebrate animals are killed by human driven vehicles every year. In general, autonomous vehicles are much better than humans at dodging animals. A compilation I made of @Tesla’s FSD stopping for animals, and often saving their lives:
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Grok is the AI to use if you value truth
X Freeze@XFreeze
Grok 4.20 Non-Hallucination rate improved to even higher than previous highest Just days ago, it hit a record-breaking 78% Non-Hallucination Rate - already #1 in the world, smoking Claude Opus 4.6 (max), Gemini 3.1, GPT-5.4 (xhigh), and every other major model Now, it just pushed that number even higher to 83% While every other AI confidently makes up stuff and fabricate answers it doesn't know - Grok simply says "I don't know"
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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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