Scott Steineman

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Scott Steineman

Scott Steineman

@scottsteineman

CPA by day, Dad by night 🏦 | Sports fanatic 🏀 | Tech enthusiast 💻 | Balancing spreadsheets, family, and fun 📊👨‍👦 | Let's talk numbers, sports, and tech!

Earth Katılım Nisan 2012
1.7K Takip Edilen1.2K Takipçiler
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Scott Steineman
Scott Steineman@scottsteineman·
"Navigating the ever-changing tax landscape is like solving a puzzle in constant motion 🧩💨! Whether you're a CPA, tax attorney, or just a tax enthusiast, let's share insights, tips, and tax humor right here on #TaxTwitter.
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Cole Grinde
Cole Grinde@GrindeOptions·
How many fully unsupervised $TSLA Robotaxis will there be by 2030? 👀 1. One - achieved 2. 10 - achieved 3. 20 - achieved 4. 40 - almost 5. 100 - by next month 6. 500 - by fall or winter 7. 1,000 - by end of the year 8. 5,000 - 2027 9. 10,000 - 2027 10. 50,000 - 2028 11. 100,000 by 2029 12. 400,000 by 2030 13. 1,000,000 there after Let me know your thoughts below! 🤙🏻
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GoatGains
GoatGains@TheGoatGains·
$JOBY aviation just released their flight schedule! Are they coming to you, or are you going to them?
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GoatGains
GoatGains@TheGoatGains·
(1/2) THE ARCHER AVIATION PODCAST IS LIVE!! Telemetry Update, George Kivork Update, and Pre-Pre Earnings Call Show! $ACHR to $100!
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Warren Sharp
Warren Sharp@SharpFootball·
who is stopping this passing attack? QB Shedeur Sanders QB Deshaun Watson WR Jerry Jeudy WR KC Concepcion WR Denzel Boston WR Cedric Tillman TE Harold Fannin Jr.
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Matt Margolis
Matt Margolis@ItsMattsLaw·
they should invent a contract you don’t breach
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Sawyer Merritt
Sawyer Merritt@SawyerMerritt·
Lars has confirmed (I think? lol) that the Cybercab will not be subject to the annual 2,500 autonomous vehicle cap. This means no steering wheel and that Tesla will only be limited by their own ability to deploy these things 🚀
Lars@larsmoravy

@farzyness @elonmusk @robotaxi No

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Beerly Football
Beerly Football@BeerlyFootball·
Who is the biggest draft bust of all time?
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Mark Palmer
Mark Palmer@MarketPalmer_·
We've gone back and forth 100 times on what our next vehicle should be. Tahoe, Suburban, mini van, etc... What should our family of 4 (plus 2 dogs) buy?
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GoatGains
GoatGains@TheGoatGains·
Joby Aviation just hit the gas on electric air taxis! - Entered Final FAA certification phase - Early ops launching in 10 U.S. states in 2026 - Ramping to 4 aircraft/month by 2027 The sky is about to get a whole lot cleaner and faster. The eVTOL era is HERE $JOBY
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GoatGains
GoatGains@TheGoatGains·
@LogcabinAi If you have enough shares you’ll have the money for one soon!
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GoatGains
GoatGains@TheGoatGains·
YOU CAN ONLY PICK ONE eVTOL STOCK!! Who’s it gonna be? Why? $JOBY $ACHR $BETA $EVTL $HOVR $EH
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Cole Grinde
Cole Grinde@GrindeOptions·
How many $TSLA Robotaxis did you think Tesla launched in Houston and Dallas today? 👀
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Scott Steineman
Scott Steineman@scottsteineman·
@elonmusk What’s the timeline on going from city to city fully autonomous?
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Scott Steineman retweetledi
Hex
Hex@beardwax2·
X 번역기능 소름끼친다. 업데이트 한방에 전세계사람들의 소통의 벽을 없애버렸음. 이런사건이 인류역사에 있었나?
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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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