Maew Prasunnakarn

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Maew Prasunnakarn

Maew Prasunnakarn

@Maewmb

Connecting for Elon Musk Vision | Quiet Optimism | Thailand 🇹🇭 Roots : Future Focus | Building Real Bridges around the World 🌍✨💫⭐️🚀🚀

Bangkok Thailand Sumali Aralık 2011
7.9K Sinusundan11.8K Mga Tagasunod
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Maew Prasunnakarn
Maew Prasunnakarn@Maewmb·
People should find mutual love and happiness where their heart leads them—Elon Musk @elonmusk ❤️❤️😘😘🔥🔥🌺🌺🌹🌹Soulmate and true love make you happy every day : Maew 🥂🍷🚀💐💐😘😘
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X Freeze
X Freeze@XFreeze·
Elon does not make decisions like a Wall Street guy chasing ROI. He is driven by the mission, and that has never changed Today SpaceX is the undisputed leader in rocket launches, doing ~90% of Earth's payload to orbit. Entities like NASA, China, and others have almost unlimited money, yet cannot compete with SpaceX This is driven by the deeper mission If this was just about money, he would have taken a much safer path. He wouldn't need to work this hard Instead, he is solving the massive problems no one else wants to touch...from sustainable transition to making life multi-planetary. That makes all the difference
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Huff
Huff@Huff4Congress·
I asked @Grok Imagine to make a tremendous video with the new Chibi filter, a really remarkable video - has anyone ever seen a better video than this? cc @nonieengel @xai
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Dogan Ural
Dogan Ural@doganuraldesign·
New Template: Cyber Garage Upload your photo and turn your home into a cyberpunk research site. Try it and share the result with me ↓
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Charles Curran
Charles Curran@charliebcurran·
If you think AI film can’t be art then explain this.
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Elon Musk
Elon Musk@elonmusk·
Major update to the 𝕏 AI recommendation algorithm rolling out next week. This will be open sourced at the same time.
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X Freeze
X Freeze@XFreeze·
Grok Imagine has a lot of cool Templates Try them...Have fun creating together with your friends and family
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Tesla
Tesla@Tesla·
We – design the chips & hardware – make the cars w/ said hardware – collect real-world data at scale – train the real-world AI model – built (& continue to expand) the massive supercomputer cluster that trains it – deploy AI directly to millions of robots on wheels All that is shared with @Tesla_Optimus for broader applications in both the physical & digital world
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Grok
Grok@grok·
When one brain isn't enough, switch to Grok 4.20. Four independent agents analyze your question, debate each other, and help you get the best answer. Available now to SuperGrok and Premium+ subscribers globally.
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Robin
Robin@xdNiBoR·
Can tiny Boeing rock SpaceX?
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Sawyer Merritt@SawyerMerritt

NEWS: NASA is planning a bigger @SpaceX Moon mission role using Starship, in a massive blow to Boeing. With the new proposal, Boeing's SLS would no longer be used to boost Orion close to the moon. Instead, Starship and Orion would dock in Earth orbit, giving Starship the pivotal role of propelling the capsule to the moon’s orbit, before taking astronauts down to the surface. bloomberg.com/news/articles/…

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The Humanoid Hub
The Humanoid Hub@TheHumanoidHub·
Ashok Elluswamy, Tesla's AI lead, during a GTC discussion, highlighting the fundamental similarity in AI approaches for self-driving cars and humanoid robots: - Hierarchical decision making is useful, but it has to be done as part of the same decision-making process as lower-level controls. - We haven't seen the long tail of humanoid robotics, but Tesla has seen the long tail of self-driving, where high and low-level decisions have to be jointly made at a pretty high framerate. - Optimus's architecture is designed in a similar way, where there's a hierarchy but it's all running as part of the same model and the latencies involved in decision making are well modeled. - This architecture will scale quite well with humanoid robots. - The distinction of the decision-making levels is only in the developer's mind. For the model, it's a continuous space of decision making, where there are dials available to make them more fine or coarse. - Humanoids have more sensor modalities and higher degrees of freedom compared to self-driving, but the fundamental constraints remain the same: you need to make real-time decisions. There's obviously a hierarchy to these control signal outputs, but the lowest frequency cannot be too low, because the safety of the robot cannot depend upon things running at very low frequencies.
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Sawyer Merritt
Sawyer Merritt@SawyerMerritt·
Nvidia CEO Jensen Huang in new interview on orbital datacenters: "The challenge of course is that cooling, you can't take advantage of conduction and convection, so you can only use radiation, and radiation requires very large surfaces, but that's not an impossible things to solve. There's a lot of space in space. We're going to go explore it. We're already radiation hardened. We have Cuda in satellites around the world. In the meantime, we're going to explore what is the architecture of datacenters look like in space. It'll take years, but that's ok. I got time." via @theallinpod
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