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[J Alynn]

Its worth noting, that in China, Megawatt or higher charging is not just restricted to commercial vehicles. There are already over 5,000stations, with plans to hit 20,000 stations before EOY.

The plan is also to have it begin rolling out in Europe this year.

EV charging in 10 minutes or less? It's happening

EV battery leader CATL will challenge BYD after securing a new partnership to develop fast-charging technology that will take less...

electrek.co

I know that the US is different. Just calling out that we may see residential 1MW charging in the US in the future But even then, the standard has been to call any DCFC "Level 3", so it would likely still be called an L3 charger, despite being 20x faster than some slower DCFC stations.

Can’t imagine that fight. I’m not a huge fan of AI data centers either but all these types of projects turn the no-growth residents into vigilante like hawks just waiting to show up to a zoning board hearing to argue against growth. That’s where China and Europe beat us as we are still a relatively new country with a lot less years of realizing what smart growth should be

 

[jeremydunworth]

[snip]

As you note, there's a lot of ai nonsense out there. The ai slop will trip up and confuse anyone who isn't serious about reading the actual standards or engaging with good faith intentions to learn in conversations with people who know what they're talking about. Generative ai cannot keep up with changing standards simply because those updates are around the interwebs for less time, are therefore discussed less often than the older standards, and thus are less likely to show up in the training corpus of the ai's LLM. The ai results are worse than useless because they’re simply a statistical slot machine spitting out a string of high-occurrance tokens rather than sensible, reliable knowledge.

Are you in California and available to talk some sense in to some CEOs?
I know it is a hopeless task...

Anyway, excellent concise explanation of the LLM problem in widely discussed and generally poorly understood topics.

 

[SpaceEVDriver]

Are you in California and available to talk some sense in to some CEOs?
I know it is a hopeless task...

Anyway, excellent concise explanation of the LLM problem in widely discussed and generally poorly understood topics.

I’m only a drive away…

But I agree and feel like it is a pretty hopeless task. Even the study that showed 95% of companies implementing ai have lost more money than they spent on the ai (i.e., they became less productive) didn’t help. It seems we just have to wait for the bubble to pop and maybe help the popping along where we can.