Do you think Nvidia’s sudden, explosive increase in GPU demand, might foreshadow a major development going on at Tesla? Be sure to watch: • Elon Musk Unveils 2 NEW Teslas: ruclips.net/video/HXp9L0bUj4M/видео.html • General Motors is in BIG Trouble: ruclips.net/video/TnGHZ9eGN2U/видео.html Visit our website themarketisopen.com for instant quotes and financial data Follow me for more insights x.com/tmiotesla
We learn FSD v.12 is neither backwards compatible or orthogonal ‘cuz photons changed sizes in HW4. Millions of miles of experiential data orphaned dooming HW3 EOL. While HW4 begins blank-slate training from HW4 data inputs. SO Tesla are critically dependent having detrimental reliance on DOJO training constrain-limited by amount of HW4 data set inputs.
No, because of first principles thinking & DOJO. While late comers, established and legacy people fumble in the dark with GPUs, Tesla has already identified the severe architectural bottleneck (data transfer) within GPUs and has moved on. Tesla is quite compute constrained due to the overwhelming amount of data entering the fold every day, and this is why DOJO is so important. First, trained data does not need to stick around; just condensed and archived. The longer it takes to train the long data stays and piles up over time. Second, DOJO was/is specifically designed to not only compute quickly but to move through data at speeds which aren’t even theoretical in Nvidia’s architecture. You used the term “blow past” GPU driven AI and Tesla will do this so rapidly the industry will endure cardiac arrest. It will be fun to watch.
Try this out to find correct way through anything you can take every single bit of data or only use data points from a bigger picture with correct way QProb AI
@@TMIOTesla not gonna say together we can but got some tesla fam and with family you back up with anything you can FSD is just learning your system quantum probabilities starting with machine learning that kinda easy though no need for satellites and connection problems just programme the brain or cpu with individual drive brain looking only at the road ahead but cameras are you problem
If FSD is using neural networks for more and more of the self driving process (now including not just situation identification but also vehicle control), I wonder what this means for those running older HW versions in the vehicle. Will those older versions be able to handle the increase in processing load?
See we running real time all that has to do is read the road ahead then drive as you go now who the man show now go be feeling more needing of music in any way we can
I would like to see your opinions of good investments and how this directly relates to tesla, space x, and worldwide trends and startups, also we need more solar powered vehicles and i would love your opinion, brake dust video, your hopes for cybertruck production increase, your stats on ev production worldwide with stocks and your opinions, worldwide tensions imparting supply and demand shortages, Mexico becoming the new china, thanks you rock
@@TMIOTesla thank you so much for replying. Please provide a link if you have a video that explains the function of each type of Chip. Nvidia versus in-house chip
No, Nvidia selling AI chips tells nothing about Tesla's AI. Nvidia will of course sell every AI chip they cam make, and will be a major sucess. Tesla's AI products are FSD and Optimus. that's software! Just like Apple, Tesla has to sell hardware to build the market for their software.
Recycling EVS, Cybertruck ebay resale values? 😂😂😂😂😂 your favorite cybertruck accessories that aren't made yet? Your idea of it will float or have water damage and the amusing people testing the cybertruck!
Exterior lighting and camera standards, cybertruck actual testing of systems including possible water or tony Seba with please stating what Tony Seba exactly is actually stating and your opinions
JESUS✝️REIGNS FOREVER MORE, HALLELUJAH!!!!!!! AMEN!!!!!!! CELEBRATE, PRAISE, WORSHIP, MAGNIFY, AND GLORIFY JESUS EVERY DAY AND FOREVER MORE, HALLELUJAH!!!!!!! AMEN. I LOVE YOU JESUS✝️ REPENT, FOR THE KINGDOM OF HEAVEN IS AT HAND. Lord Jesus✝️have mercy on you🙏
Do you think Nvidia’s sudden, explosive increase in GPU demand, might foreshadow a major development going on at Tesla? Be sure to watch:
• Elon Musk Unveils 2 NEW Teslas: ruclips.net/video/HXp9L0bUj4M/видео.html
• General Motors is in BIG Trouble: ruclips.net/video/TnGHZ9eGN2U/видео.html
Visit our website themarketisopen.com for instant quotes and financial data
Follow me for more insights x.com/tmiotesla
❤❤❤ you rock, thanks for the update
We learn FSD v.12 is neither backwards compatible or orthogonal ‘cuz photons changed sizes in HW4. Millions of miles of experiential data orphaned dooming HW3 EOL. While HW4 begins blank-slate training from HW4 data inputs. SO Tesla are critically dependent having detrimental reliance on DOJO training constrain-limited by amount of HW4 data set inputs.
As a retired ASIC Engineer, this almost makes me want to come out of retirement and be apart of something incredible.
Just like my $TSLA stock, I don't forsee myself selling my $NVDA stock anytime soon. 🎉
Nvidia will crash eventually. It’s gone up too much too fast. Look at how tesla performed rocketing up to $400 to then level off at 200 ish
The Nvidia moment for Tesla will happen in 2024 or 2025, once FSD scales and/or Dojo-as-a-service will be offered.
No, because of first principles thinking & DOJO. While late comers, established and legacy people fumble in the dark with GPUs, Tesla has already identified the severe architectural bottleneck (data transfer) within GPUs and has moved on. Tesla is quite compute constrained due to the overwhelming amount of data entering the fold every day, and this is why DOJO is so important. First, trained data does not need to stick around; just condensed and archived. The longer it takes to train the long data stays and piles up over time. Second, DOJO was/is specifically designed to not only compute quickly but to move through data at speeds which aren’t even theoretical in Nvidia’s architecture. You used the term “blow past” GPU driven AI and Tesla will do this so rapidly the industry will endure cardiac arrest. It will be fun to watch.
Assumption that fewer lines of code are better needs test
I mentioned in the video that they can use the current implementation as a benchmark.
N best anything you want with fewer points or decisions or fewer lines of code hope you see
Try this out to find correct way through anything you can take every single bit of data or only use data points from a bigger picture with correct way QProb AI
@@TMIOTesla not gonna say together we can but got some tesla fam and with family you back up with anything you can FSD is just learning your system quantum probabilities starting with machine learning that kinda easy though no need for satellites and connection problems just programme the brain or cpu with individual drive brain looking only at the road ahead but cameras are you problem
Very good episode.
If FSD is using neural networks for more and more of the self driving process (now including not just situation identification but also vehicle control), I wonder what this means for those running older HW versions in the vehicle. Will those older versions be able to handle the increase in processing load?
See we running real time all that has to do is read the road ahead then drive as you go now who the man show now go be feeling more needing of music in any way we can
I would like to see your opinions of good investments and how this directly relates to tesla, space x, and worldwide trends and startups, also we need more solar powered vehicles and i would love your opinion, brake dust video, your hopes for cybertruck production increase, your stats on ev production worldwide with stocks and your opinions, worldwide tensions imparting supply and demand shortages, Mexico becoming the new china, thanks you rock
How does Tesla's Dojo motherboard and Chip work with the Nvidia chip that just got turned on?
They are two separate setups
@@TMIOTesla thank you so much for replying. Please provide a link if you have a video that explains the function of each type of Chip. Nvidia versus in-house chip
No, Nvidia selling AI chips tells nothing about Tesla's AI.
Nvidia will of course sell every AI chip they cam make, and will be a major sucess.
Tesla's AI products are FSD and Optimus. that's software!
Just like Apple, Tesla has to sell hardware to build the market for their software.
Recycling EVS, Cybertruck ebay resale values? 😂😂😂😂😂 your favorite cybertruck accessories that aren't made yet? Your idea of it will float or have water damage and the amusing people testing the cybertruck!
Exterior lighting and camera standards, cybertruck actual testing of systems including possible water or tony Seba with please stating what Tony Seba exactly is actually stating and your opinions
I'm going to say again.....exterior lighting standards, headlights and rear and side, there is no updated standards, companies do what they want
Recycling EVs from top to bottom at tesla? With a discount? Future tire and brake disk pad innovations to eliminate pollution
Actual emissions of EVs because the commercials are literally anti evs, the industry created by going electric updated
The connected stocks to tesla and nVidia you would also invest in, also other competitors
JESUS✝️REIGNS FOREVER MORE, HALLELUJAH!!!!!!! AMEN!!!!!!!
CELEBRATE, PRAISE, WORSHIP, MAGNIFY, AND GLORIFY JESUS EVERY DAY AND FOREVER MORE, HALLELUJAH!!!!!!! AMEN.
I LOVE YOU JESUS✝️
REPENT, FOR THE KINGDOM OF HEAVEN IS AT HAND.
Lord Jesus✝️have mercy on you🙏