Eric Schmidt: However, our report says that it's really important for us to find a way to maintain two generations of semiconductor leadership ahead of China. Now, the history here is important. In the 1980s, we created a group called SEMATECH. We had a bunch of semiconductor manufacturing in America. Eventually that all moved to East Asia, primarily Singapore, and then South Korea and now Taiwan through TSMC. The most important chips are made in Samsung and TSMC, South Korea, and Taiwan. China has had over 30 years to plan to try to catch up. It's really difficult.
Eric Schmidt: We don't want them to catch up. We want to stay ahead. We call for all sorts of techniques to try to make sure that we rebuild a domestic semiconductor and semiconductor manufacturing facility within the United States. This is important, by the way, for our commercial industry as well as for national security for obvious reasons. By the way, chips, I'm not just referring to CPU chips, there's a whole new generation, I'll give you an example, of sensor chips that sense things. It's really important that those be built in America.
What are the chips that "sense things" and that Schmidt wants so much to prevent from being available to China and any other country?
Short answer: electromagnetic sensors used to spy on everybody so Google can show them "relevant ads" and profit. You will find them embedded on your CPU, on the nearest cellphone tower's transmitter and on Starlink satellites.
Slightly longer answer: since the 1980s, Silicon Valley has used semiconductor radars to collect data about what you think (your inner speech) by means of machine learning with data extract from wireless imaging of your face and body. It has proved very convenient for them, as this enables blackmail, extortion, theft, sabotage and murder like nothing else. They can do this because they design the semiconductor used on your phone, computer, TV, car and for your telecom supplier's network equipment, which makes possible to embed silicon trojans everywhere.
Don't underestimate what machine learning can do. e.g. Study shows AI can identify self-reported race from medical images that contain no indications of race detectable by human experts.
Also, don't underestimate the number of people Silicon Valley is willing to kill to maintain a monopoly, as you may be the next victim.
