The sea state in the Taiwan Strait is often pretty rough. If WIG vehicles have any military value it's likely to be on inland waters where weather conditions are typically more benign.

The hisutton.com website is full of the recent Chinese naval developments, including huge floating landing piers and various novel submarines and ships. The pace and scale of investment is such that it seems they are building the capacity to genuinely do an opposed invasion

you have the guy sitting in jail waiting for the courts to decide if his grapheneOS wiping his computer after wrong unlock codes is him obstructing.

keep in mind that the "obstruction" charge can be and is abused as a catchall charge.

> courts to decide if his grapheneOS wiping his computer after wrong unlock codes is him obstructing

He didn't provide an incorrect code, or no code at all, he provided a duress code intended to destroy the device. There's a huge legal difference.

if you don't know yet, we are in deep

Here is what I'll push back with:

Even if somehow you had the super hero ability to create this silicon out of thin air and even double it, I'd argue that it wouldn't drive down prices.

Simply because both the AI datacenter's need and their ability to pay is bigger then the consumer market. So far it seems that the more silicon you throw at AI, then the better your reasoning output. So the cheaper the chips, the more these datacenters will buy. Arguably they would buy even more because then you can tell investors that you have more powerful models (due to more compute) and your price per output is cheaper (because average hardware is cheaper).

Your argument relies on two assumptions:

1. That a new player would offer enterprise level product, instead of consumer grade. IMO it's very likely that if such a scenario unfolded, the market would be segmented into enterprise/consumer not only at the product level, but at the supplier level too. At least initially.

2. That AI compute demand is essentially unlimited AND silicon production capacity is and will remain bottleneck in datacenter buildouts. IMO we are much closer to the point where physical infrastructure becomes the apparent bottleneck than it would seem, IF political climate allows. Datacenter buildout is THE talking point in Ohio elections and if the dems win, datacenters will become THE talking point in the whole USofA. In just a couple of months the landscape they are operating in could become very different.

Does it matter how it was created? Whether you had a subordinate create it, or an employee, or a contractor, googled it, cited a study, or some other method. You as the expert look at the conclusion and either agree with it or disagree.

I think if people looked at LLM as just tools or interns, which you should always check or question their conclusions, then they'd 1) not believe everything LLMs tell you and 2) they would get better responses after critiquing the LLM response.

You would think that if the EU is requiring this, then why not just implement this for the EU users.

Because it is not about the EU. Google has implemented watermarking for a long time. And soon we will see that all AI providers will do it, because it allows them to filter out AI generated data from their training sets.

your data get's sold

This. I also think there'll be more local AI models to fill gaps and people see how we've become needlessly dependent and we start using AI responsibly.