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Every morning when you first wake up, take a moment and say to yourself: “I am made of stars.” h/t @BrianRoemmele
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Phil Read
12.5K posts
Extraordinary optimism. This was the future imagined in 1939 of 1960. youtu.be/sClZqfnWqmc
YouTube
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Phil Read 리트윗함
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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Phil Read 리트윗함
George Blankenship got so emotional sharing the story of early Tesla
The Model S was the first car from Tesla that was really meant for people to drive like a regular car
It was their do-or-die moment. The production line pushed the company into one of the most terrifying survival stories in startup history
10,000 people trusted and handed Elon Musk $5,000 each without a car or a guarantee - only a promise
The reality behind the scenes was grim. In Q2 2012, Tesla managed to deliver just 12 cars in an entire quarter. Wall Street was circling like vultures, waiting for them to die
With the company’s life on the line, Elon took a massive, unbelievable gamble: he publicly tweeted that Tesla would be profitable by Q1 2013
To pull off that miracle, Elon demanded exactly 4,750 deliveries. The standard he set was absolute. The pressure was so intense that George Blankenship was required to email Elon every single night at exactly midnight with raw survival metrics: how many cars shipped, how many were ready, how many were moving
By the final week, it was pure desperation and unity. IT guys were washing cars. Marketing guys were driving them across the lot. Under Elon's unrelenting drive, job titles vanished. Everyone did everything to keep the dream alive
Then, on the final Saturday of the quarter, at exactly 3 PM...
Car 4,750 was delivered
Blankenship stood on his desk, looked at his exhausted team, and told them:
"What you just did is monumental... not just for Tesla, but for what we're going to do for mankind"
Tesla shocked the world that quarter with an $11M profit. The stock violently surged from $20 → $90
They did not just build a company. They forged a foundation for the entire EV revolution
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"Perfect" renderings aren’t necessarily perfect. Imperfections and little details can give images a more natural appearance, tell a better story, and provide important context that communicates the passage of time. And when it comes to creating “imperfect” renderings, Veras is perfect. :) linkedin.com/pulse/chaos-ve…
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Phil Read 리트윗함
1. Push
2. Pull
3. Squat
4. Walk
Do the first three 2x per week
Do #4 every day
Laying a solid foundation really is that simple
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Phil Read 리트윗함
Biggest playlist (over 2 days long ) go.meaningwave.com/meaningwavepla…
Smaller playlist (8 hours) fanlink.tv/ThisIsMeaningw…
MEANINGWAVE Top 50 go.meaningwave.com/MeaningwaveTop…
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donttrolling@oohhhgyui68132
@akirathedon Anywhere i can find a 2 hour set of all your works or a big playlist?
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AEC Roundtables Moves to Fall (same week as Leadership Retreat), Enscape 4.17, Veras 4.2 Best Practices and More - Enscape Update for April 2026!
sxjx2.mjt.lu/nl3/ga-QSodaCQ…
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@hcmagliano @AutodeskRevit Hey Hugo - hope the team is enjoying Singapore!! :)
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When you’re going to breakfast in Singapore and on the way down in the elevator, meet a Brazilian engineer who’s using @AutodeskRevit to design oil platforms. :-)
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@BrianRoemmele Beautiful!! Check out Bossa and Stones!! music.apple.com/us/album/bossa…
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Got a great interior design rendering from Enscape and need to create additional design options? Veras is the perfect for creating beautiful and compelling design studies without having to create textures or model complex geometry. Here's how:
linkedin.com/pulse/design-i…
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