No, that’s just the little advanced technology fab, where we will be iterating on chip designs.
We couldn’t possibly fit the Terafab on the GigaTexas campus. It will be far bigger than everything else combined there.
Several locations for Terafab are under consideration. It needs thousands of acres and over 10GW of power at full scale.
Starlink Mobile’s next-gen satellites will deliver 5G speeds from space with 100x the data density of the current V1 generation satellites
V2 satellites will seamlessly enable streaming, internet browsing, high-speed apps and voice calls, just like being connected to a terrestrial network → https://t.co/CV6MjKASx7
* StarThink 🛰️
The future is bright!
SpaceX launch for payload to orbit.
xAI running on Tesla inference silicon, in a Starlink satellite powered by solar.
"Satellites with localized AI compute, where just the results are beamed back from low-latency, sun-synchronous orbit, will be the lowest cost way to generate AI bitstreams in <3 years."
BREAKING: Tesla delivered 497,099 vehicles in Q3, +7.3% YoY and their best quarter ever. Wall Street was expecting 443k. Total Q3 production was 447,450
Tesla also announced they deployed an all-time high 12.5GWh of energy storage in the quarter.
The Tesla Robotaxi app experience has improved a lot since I was last in Austin in June.
From multiple pickup point options, estimated time to walk to each pickup point, adding a new stop at the end of your ride, finding the Robotaxi with an arrow, the ride showing up automatically locked, etc. So much better!
Tesla shareholders: We need your vote!
Our next chapter will help create a world we’ve only begun to imagine & put the world on a path towards sustainable abundance for all.
To make this future a reality, we need your support.
We are asking shareholders to vote with our Board’s recommendations on *all* proposals.
You should now have received your control numbers that will enable you to vote.
For instructions on how to vote, please refer to your proxy materials or visit https://t.co/KG6HWudZsq
Tesla is at a critical inflection point. We need your vote ahead of our 2025 Annual Meeting on November 6.
Tesla shareholders, the owners of our company, will soon receive their control numbers and voting instructions from their brokers. This will enable you to vote.
We are asking you to vote with the Board’s recommendations on *all* proposals.
Tesla is on the precipice of another massive wave of transformational growth, as demonstrated by the unveiling of our Master Plan Part IV. If you believe, like us, that @ElonMusk is the CEO that can make this ambitious vision a reality, vote your shares.
https://t.co/KG6HWudZsq
@flackos_gang My cousin is a sommelier and has quite a bit of restaurant experience in the DC area. He has been in the industry for almost 20 years. He has done everything from Bar tender to operations manager / GM. What's up? Anything in particular you want me to ask him?
Just came across this. It may be a compute efficient method for audio (sfx and environment interaction)
WaveBlender:
Practical Sound-Source Animation in Blended Domains
Abstract
Synthesizing sound sources for modern physics-based animation is challenging due to rapidly moving, deforming, and vibrating interfaces that produce acoustic waves within the air domain. Not only must the methods synthesize sounds that are faithful and free of digital artifacts, but, in order to be practical, the methods should be easy to implement and support fast parallel hardware. Unfortunately, no current solutions satisfy these many conflicting constraints.
In this paper, we present WaveBlender, a simple and fast GPU-accelerated finite-difference time-domain (FDTD) acoustic wavesolver for simulating animation sound sources on uniform grids. To resolve continuously moving and deforming solid- or fluid-air interfaces on coarse grids, we derive a novel scheme that can temporally blend between two subsequent finite-difference discretizations. Our blending scheme requires minimal modification of the original FDTD update equations: a single new blending parameter β (defined at cell centers) and approximate velocity-level boundary conditions. Sound synthesis results are demonstrated for a variety of existing physics-based sound sources (water, modal, thin shells, kinematic deformers), along with point-like sources for tiny rigid bodies. Our solver is reliable across different resolutions, GPU-friendly by design, and can be 1000x faster than prior CPU-based wavesolvers for these animation sound problems.