Yun-Ta Tsai (@yunta_tsai)
@yunta_tsai
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If NVIDIA employees want Jensen back, they should start with “NVIDIA is nothing without its people” - resign and chill.
Good GPU engineers are very hard to find and even harder to replace than ML engineers.
Engineers should take their destiny into their own hands if they love the company. They shape and deliver the company mission, not the boards.
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Sad day for America. A hard-working legal immigrant who built a trillion-dollar company from Denny’s on his own dime could be dragged down overnight, while the opposite side made it all the way to the political podium.
Which side raised America to the powerhouse of technical advancement?
Whoever casts stones from the shadows is never on the side of the saint.
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Quoting my Finnish friend:
FSD has finally approved in Finland. The car now drives itself. The driver still sits in complete silence and doesn’t talk to anyone. So nothing really changed. 🇫🇮
Now approved in Finland 🇫🇮
Rollout begins soon
After many years in top machine learning organizations, with friends at frontier labs, I still consider Tesla’s ML engineers the best—the only ones I would trust with my life.
Unsatisfied with theory, they scrutinize every detail until it is proven in reality. They demand real-world miles, not charts. This culture exists nowhere else.
This week marks another anniversary at Tesla. I am honored to work with you all for many years to come.
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Before the superintelligence era, Tesla’s iterating and scaling of its own inference computers for each car sold was, in retrospect, unprecedented.
The current compute shortage is only the tip of the iceberg. When autonomy becomes indispensable, the real shortage will follow.
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People hate commuting because they sit in traffic and get nothing done.
Tesla x Grok @bot changes the equation. Arrive home with everything handled, so you can truly enjoy your time.
Things you can do with Tesla FSD
• Watch the world go by
• Actually rest
• Ask Grok @bot to get work done
Grok @bot is now integrated into Tesla. Thanks to all the teams working hard on this.
It can handle:
- DoorDash / OpenTable / Uber Eats for pickup and restaurants on your way home or to work, while discussing what to order with family
- Discussing your work and even spinning up a PR
- Prepping documents on the way to meet clients
And more!
Tesla + Grok @bot placed the coffee order when a Cybercab drove me to work.
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.@Grok in your Tesla can now do meaningful work for you
With Connectors, you can manage your inbox, clean up your calendar, or talk through existing files/chat/tasks – all hands-free
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Looking back, Full Self-Driving has faced the same relentless fear tactics.
It feels little different from the AI panic being stoked today—often by nearly the same voices. The lives being saved, however, is enormous.
For years we have held this conviction, quietly improving the products. Not for fortune or fame, but so the people we love can arrive home safely.
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If you want to solve AI alignment issues, train a model to take you from home to the office and back with no pedals or steering. You will solve it really quickly.
If you have a Grok @bot token usage issue, ask the @bot to create a new channel for dedicated tasks and close it when finished.
This would allow Grok @bot to focus on the context you are currently interested in.
If you want to reuse the same task, have it save the reflection and upload to the repo so it can be repeatable.
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Inspiring.
Something I love about working in Elon's companies is that engineers get sent to the field to physically inspect real-world performance, not just sit in the lab and look at charts.
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SpaceX engineers spent several days inspecting Ship 40 in the waters off Christmas Island. They collected heatshield samples and gained vital insight into how the vehicle handled reentry with improvements now planned on future vehicles
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Grok @bot now passes the DOOM test. It ported the entire DOOM to ESP32-S running at a high frame rate without trouble.
Three months later, Grok’s progress is amazing, and @bot makes it even more powerful and easier to use.
This is the fidelity using the same prompt: “Explain Navier-Stokes equation and how it relates to airfoil design with actual fluid dynamics simulation.”
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I asked Grok @bot to explain rank, spectral power, and optimization in geometrical terms, and compare them with Adams, Muons, and Aurora. Below is the result.
If you have any suggestions on how to make this video better and more intuitive, please comment below. My Grok @bot will pick them up and incorporate your ideas.
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OMG. I asked my Chief Engineer on Grok @bot to bring up the feature and it's done. 😳
I can text my @maticrobots now through my Grok @bot—anywhere and anytime.
Okay, I need to figure out how to connect my Grok @bot to @maticrobots so I can text it where to clean.
Just got this clip from a follower showing their @Tesla avoiding a collision recently on the highway while on FSD (Supervised) V14.
Here are all the angles. Self-Driving data at top:
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Okay, I need to figure out how to connect my Grok @bot to @maticrobots so I can text it where to clean.
Grok 4.6 multimodal is a step change from Grok 4.5. It’s one of the under-discussed improvements, and I’ve been very impressed by it.
My daily work includes reviewing lots of videos and understanding the context; Grok 4.6 improves the productivity of such workloads by at least 10x if not 100x.
Such workflows may not be captured by common VLM benchmarks, but in my use cases it outperforms Gemini 3.5 and Gemma 4, which is considered the SOTA of VLMs in my opinion.
Hats off to the multimodal teams—you did a great job.
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