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> - no emissions

This is particularly nice when you're warming the car up in the garage during cold snaps. Hard to do this with ICE vehicles without risking carbon monoxide buildup.


Deepseek is cheap and fast, but it couldn't follow the basic directions I gave every other model (GLM, Qwen, GPT, Claude) to use red/green TDD. Put me off of using DS.


The UI design gap is something I’ve noticed as well, in things as simple as ASCII diagrams. Claude has a more human touch. All the diagrams GPT 5.6 generated for me were dressed up lists with too many pipe symbols.


To add to your point:

> "Quite frankly, the biggest issue we are now having is not a compute glut, but it's power and it's sort of the ability to get the builds done fast enough close to power," he told the show's hosts. "So if you can't do that, you may actually have a bunch of chips sitting in inventory that I can't plug in. In fact, that is my problem today. It's not a supply issue of chips. It's actually the fact that I don't have warm shells to plug into."

> - Satya Nadella

https://redmondmag.com/blogs/generationai/2025/12/microsoft-...


> It's actually the fact that I don't have warm shells to plug into.

So that’s how the Matrix got started …


And the will


Astra's looks the worst to me on mobile, though


That's fair - worth noting that none of them were instructed to make a mobile variant or to test the mobile size.


Everyone's still bottlenecked on foundries, not designs.


Isn’t this the whole concept for (braces) terafab? Reduce iteration cycle time.


Cant AI build foundries?


Something we can all agree with is we need more foundries and green power.


yup, but it'll take about 3-5 years.


AI can barely fold a shirt


Knowledge is for the machines, you see; we are simply here to tend to their electrons. At least for now.


But is the grammar load bearing?


And the majority shareholder, at that!


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