HexnMarcusWolfe

If there's a group that argues more than politicians, it's academics.

It's going to move things to the extreme edges. On things they agree on things will move fast. On things they disagree on it'll stall indefinitely.

And in the case of the latter, corruption and assassinations become the only answer to moving the needle.

A little of column A and a lot of column B.

Google is slightly undervalued, Misanthropic is massively overvalued.

Let's talk timelines.

2015: Google deployed it's first TPU (tensor processing unit)... For context, openAI in 2026 is only now producing their first TPU chip. Even being generous saying it was only INT8 the same as Nvidia 20-series (2018) that's still 3 years ahead.

2017: The landmark research paper detailing "transformers" in LLM's, titled: Attention is all you need, was published... by 8 engineers working at Google's Deep Mind.

In my mind there's a few possibilities.

1. Google really were blindsided and through lack of leadership / vision were surpassed.

2. Google has already war gamed this out. They know the limits of stochastic tech with "AI" being mostly marketing hype (same as crypto / NFT's), which is why they've limited their liability by investing 10x less than most others in the space.

3. Or they knew AI is going to have some success, but stuck to principles. Google the search engine started out by running distributed (max redundancy) on absolutely dogshit hardware. Yet through clever software optimizations + minimal CAPEX / OPEX, they were able to provide the best service and out compete everyone (Alta vista, yahoo, etc.). Same thing this time around. I have a feeling they (and anyone else not caught up in religious / marketing hype e.g. Deep Seek) is looking at the OPEX and trying to figure out how to optimize.

... So business as usual then for VSchode ?

The amount of problems it's had from compromised extensions is ridiculous.

Here we go again ... can we please just get through the month without breaking the internet?

The Shockley–Queisser limit still applies i.e. with the current understanding of physics the limit for single cell is ~33%

I said ~20% because that's the minimum required to bring it to commercial market while being competitive. If they go more, great, bonus.

Probably won't happen. Federating the responsibility for overall energy capacity, government ain't gonna do that. You'll be responsible for your own generation / storage.

Tho' something interesting. Those with large enough arrays can use their excess to produce nitrogen fertilizer via cold plasma.

This would either allow them to store value in that (for sale to farmers / national stockpile) which may give better yields then storing via batteries and selling back to the grid. Or they could use it to grow their own produce making them self reliant and less dependent on supermarket chains and by extension their dependency on fossil fuel use in their distribution networks.

Fridges is doubtful. But HVAC... yeah i'd put that at increased possibility because you probably won't have to rewire your house to do it.

Prove it?

Beyond just saying "China copied it", show us the logs of a tens if not hundreds-of-gigabytes worth of AI models being downloaded? And if that indeed happened, where are the prosecutions for US companies who through lack of security handed over the equivalent of digital nuclear bomb blueprints to the Chinese... no one's in prison yet?

As far as i can tell the only thing that can be claimed is that Chinese AI are saturating US AI's requests and attempting to train their own adversarially.

But if that's the case, China is already at the point where they can implement such adversarial training on their own internally. They don't need the US.

Clearly the US platforms / software side is unprofitable, and the hardware side is engaging in obscene business practices like channel stuffing and profiteering. In combination with huge overvaluation, this has created a house of cards.

In context of that card house, this article sounds like something written by someone who doesn't have a clue about AI, but has a vested interest in keeping the US share market afloat... like a conventional economist that subscribes to neoliberal dogma.