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A.I Experts STUNNED. China Has Won The AI Race Already!

TheAIGRID | December 31, 2025



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Links From Todays Video:
https://fortune.com/2025/08/14/data-centers-china-grid-us-infrastructure/

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Music Used

LEMMiNO – Cipher
https://www.youtube.com/watch?v=b0q5PR1xpA0
CC BY-SA 4.0
LEMMiNO – Encounters
https://www.youtube.com/watch?v=xdwWCl_5x2s

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Written by TheAIGRID

Comments

This post currently has 25 comments.

  1. @JeanGunnhildr88

    December 31, 2025 at 9:17 am

    If American can't make a citizen that smart and hardworking like China did. What make them think they can win China? Main thing is culture and mindset. Look at these Chinese parent in US. You all find them very competitive while in China are more tense than that 100 times. In US is like easy win for them but in China.. they're just…like ordinary. Now, US citizen ready to work that hard?

  2. @sgramstrup

    December 31, 2025 at 9:17 am

    We are billions (with a 'b') that are already routing for China, and we all know that US and the west are screwed. The difference is spend resources for a purpose, or for profit. Western Oligarchs shot themselves in the foot – long ago..

  3. @AverttheHerd

    December 31, 2025 at 9:17 am

    $IREN is sitting on 3GW of power with 100s of MW coming online in the next 8 months….Still only a $5 billion market cap sitting on a gold mine. Not financial advice..but worth a look

  4. @jay-rs7gj

    December 31, 2025 at 9:17 am

    i suspect they (US) have the highly intelligent Ai models and are relying on them to crack nuclear fusion for energy and basically will be letting AI give out the instructions because at this point it can know more than humans combined

  5. @mintakan003

    December 31, 2025 at 9:17 am

    Transmission lines and interconnects take forever to build (and permit) in the US. New thermal plants (e.g., natural gas) maybe 5 years. (There's also a shortage of gas turbines, which are not easy to get quickly). Nuclear is 2030's, at the earliest. Solar+storage maybe quicker (say 1 to 2 years?). But the problem is that it's not 24/7 base-load.

    So if one is in a hurry (next 5 years), I'd co-locate a data center in some sunny area (Texas, Arizona, Saudi Arabia, …?) with solar+storage. (There is also the issue of water for cooling.). This is just to get started with something, even if it's not all the electricity one needs. This is for training (where one needs a large coherent cluster). Easier to ship data than electricity. Also, don't insist of strict 24/7, but have some allowance for demand-response depending on the conditions. I know this is not ideal from the CapEx utilization for expensive GPU's. But one needs to get going. And training is not real-time critical. It can take pauses.

    For inference (even if one needs to be real-time), one has more options. It can be more distributed. And there are more options of distillation, compression, less intense hardware use.

  6. @mrd6869

    December 31, 2025 at 9:17 am

    4:38
    What if future AGI models didn't need that level of power.
    You can run your brain on a cheeseburger and it's more advanced than
    whatever is in these datacenters.

  7. @blengi

    December 31, 2025 at 9:17 am

    doesn't america have >60% of world's cloud compute, gpu's with at least twice the energy efficieny per flop and all the world leading models? besides what import total national energy when is a race to creating first AGI model and then have it auto improve across all inputs for maximal efficiency before distribution and global domination? literally it takes just one AI company's training resources to achieve the AGI break through moment.

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