What’s the jargon for the reverse of a pump and dump scheme?
Trash and cover your shorts?
6,269 karma · joined August 27, 2020
Trash and cover your shorts?
Lots countries have had subsidies and incentives for electric cars; however China's policies seems to have been uniquely succesful - exactly why is not obvious.
Some point to the "mayor economy" where cities compete in being attractive for companies to setup business. For example see the story of Tesla's Shanghai plant.
Lohner–Porsche is a term encompassing several electric vehicles designed by Ferdinand Porsche and manufactured at Lohner-Werke in the early 1900s. They include the first hybrid electric vehicle and the first commercial hub motor car. The hybrid "Mixed" or "Mixte" racecars are powered by a gasoline engine which drives four electric motors, one in each wheel hub. The battery-powered "Touring" or "Chaise" commercial cars utilize only two front-wheel hub motors.
Looks like incredible value and fuel efficiency at the price point.
In Denmark McKinsey consultants advise the government at a fairly high level. Most of the consultants are Danes and had they not worked for McKinsey they would work for another consultancy (or the government itself) doing the same government work.
Made in China 2025 is an industrial policy aiming for Chinese companies to move up the value chain. This was going to happen regardless of McKinsey.
On contrary the US congressmen are foolish for bullying McKinsey into not doing business in China as it will decrease the US's ability to understand what is going.
Tesla is competing well in China so I don’t think they fear Chinese competition that much. Also they have a brand advantage.
My guess is that all this is about giving legacy auto makers an advantage over Tesla.
Essentially we are at peak personal computing: End-users are just as well served by the laptop they had 10 years ago and the mobile phone they had 5 years ago, as they ones they have today.
Don't get me wrong; LLMs are useful and exciting and so are other forever upcoming things from CS - say microkernels ... but that doesn't mean they can justify an arbitrary large valuation. Ultimately these things are worth no more than the value they can generate for their end-users.
Right now big tech is betting it all on LLMs. It's a perfect match for big tech - requires massive amounts of capital and just a tiny number of highly paid specialists.
But after having spent billions and their best minds. This is what they come up with: An app running on your PC that takes a screenshot of your desktop every n seconds and feeds that into an LLM that you then can interact with. Requiring completely new hardware and massive amounts of computing resources.
So that you can go - "I looked at a brown leather bag earlier - what website was it at?" and similar.
All has value I am sure, but also probably limited value. And could have been supported much more straight forward and with much less computing power through traditional software.
The start of Bitcoin with a pseudo academic whitepaper and the grandiosity of the first message encoded rather than just going straight to code like a normal open source project hints at this.
I am curious to see a teardown of the kit. Probably a lot of generic western components used just as with their drones.
Traditional retail - like H&M - has a markup of around factor 10 (meaning if something is 100 in the store, the factory/shipping company gets 10) - and supplier lead times of 3-6 months.
Shein has much lower markup and lead times of down to under a day.