
Maew Prasunnakarn
203.9K posts

Maew Prasunnakarn
@Maewmb
Connecting for Elon Musk Vision | Quiet Optimism | Thailand 🇹🇭 Roots : Future Focus | Building Real Bridges around the World 🌍✨💫⭐️🚀🚀
Bangkok Thailand Bergabung Aralık 2011
7.9K Mengikuti11.8K Pengikut
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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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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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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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Troy (2004) spent years as an easy target and the Rotten score didn’t help, but the film holds up as a full-scale epic. Brad Pitt’s Achilles, Eric Bana’s Hector, that duel, and the score all carry it. It never really deserved that reputation.
cinesthetic.@TheCinesthetic
What is the most unfairly hated movie that you will defend every time
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Can tiny Boeing rock SpaceX?

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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100 years ago, Britain had the world's largest empire.
Today, Britain is "decolonizing Shakespeare's birthplace."

Visegrád 24@visegrad24
Enough
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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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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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