00:06:06.120But then the amount of pressure was so severe that they shut it down.
00:06:10.580on the same day that the Facebook was launched, on the same exact day that the Facebook was
00:06:18.000launched. This doesn't provide total and conclusive evidence that this was all an
00:06:24.220intelligence op from the outset, but what it does show you is that what Facebook does objectively
00:06:30.840is fulfill an intelligence objective. What it does essentially, yes, it's fun to scroll and
00:06:39.780who amongst us hasn't done a bit of doom scrolling. I'm old enough to be a bit of a, have been a bit
00:06:46.680of a regular Facebook user. Thank God I kicked that habit. But what Facebook does is literally
00:06:55.280in line with the objectives of the intelligence communities in response to the 9-11 attacks.
00:07:01.940This is precisely what it does. And the transition kind of seemed to have happened seamlessly from the public sector or the government into the private sector. And it happened with support from Microsoft and it happened with support from the intelligence community.
00:07:21.660And you see that because you look at sort of senior Facebook security personnel and cybersecurity guys, a huge number of them have an intelligence background.
00:07:31.300And you see that also from the Twitter files, which we will get into, like, at least tangentially during the show, where you see that the government uses these kinds of outfits to control narratives and to spread the narratives that it approves of.
00:07:44.140so you know yeah i got into trouble for saying that these are intelligence tools but but they
00:07:51.640literally are google is the same thing google is literally the same thing the initial grants for
00:07:59.580google were given from the cia and the national uh security agency which is the sort of more
00:08:08.200digital-oriented, more signals and communications-oriented intelligence branch of the United States
00:08:14.400government. That's what it does. And the story that you have is that, you know, that's not
00:08:20.800really it, but the reality is actually pretty clear. The reality of it is that it wouldn't exist
00:08:30.000without support from the intelligence community. This was the purpose for its founding.
00:08:36.680The intelligence community hoped, according to this article on QZ, that the nation's leading computer scientists could take non-classified information and user data, combine it with what would become known as the Internet, because the Internet, you have to remember, was actually a military technology, that's a different conversation, and begin to create for-profit commercial enterprises to suit the needs of both the intelligence community and the public.
00:09:04.180They hope to direct the supercomputing revolution from the start in order to make sense of what millions of human beings did inside the digital information network.
00:09:14.980That collaboration has made a comprehensive public-private mass surveillance state possible today.
00:10:38.900Intelligence gathering may have been their world,
00:10:41.200but the Central Intelligence Agency and the National Security Agency
00:10:43.620had come to realize that their future was likely to be profoundly shaped outside the government.
00:10:49.180It was at a time when military and intelligence budgets within the Clinton administration were in jeopardy,
00:10:54.160because that was after the end of the Cold War,
00:10:56.280And so Clinton was trying to balance the budget, that was his whole pitch, to the voters that he would fix the economy and balance the budget, which he did succeed in doing.
00:11:07.360And so for the intelligence communities, they looked around and they figured, what if we recruit the resources of the private sector and get the private sector to work under our guidance to shape what kind of products that they would build?
00:11:23.580and that would mean that the intelligence community
00:11:52.540And they go here to explain how basically the internet was a DARPA creation, the same DARPA that sort of deals with Boston Dynamics and the robotics, the attempts at integrating robotics and AI and self-driving vehicles into the same umbrella and into a full-on, fully developed military application that would allow for the use of autonomous weapons and that would integrate the human element with the surveillance.
00:12:22.380element with the AI and autonomous elements so that the commanders could have total visibility
00:12:27.700over the battlefield and so that they could basically dominate the enemy because they would
00:12:33.620know all of the enemy's movements and their own locations and the AI would identify the enemy
00:12:39.840targets and select the right kind of weapon with which the enemy would be hit. So when you're
00:12:47.600thinking about this stuff you want to think about the history itself you also want to think about
00:12:51.660the holistic picture that they're heading towards, which is a kind of semi-autonomous
00:12:56.880monstrosity, really, with just giant killing machines or appropriately sized killing machines
00:13:04.160all over the world. And what they tried to develop was something that was called the
00:13:11.040Massive Digital Data Systems Project, which was launched at Stanford, Caltech, MIT, Harvard,
00:13:19.380Carnegie Mellon, etc., describing the needs that the intelligence community had in the age of
00:13:27.860massive computing and trying to figure out how they could get the private sector
00:13:35.540to build the products that they needed given that they were growing constraints on their budgets
00:13:41.140in the 1990s as Clinton tried to balance the American budget deficit. So this is the story.
00:13:49.380Changing demands require that the intelligence community process different types as well as larger volumes of data,
00:13:56.380they said in the Massive Digital Data Systems white paper in 1993.
00:14:03.380The date is important. This is older than some of the people in the audience.
00:14:10.380Consequently, the IC is taking a proactive role in stimulating research
00:14:17.380in the efficient management of massive databases
00:14:20.480and ensuring that the Intel's community requirements
00:14:22.520can be incorporated or adapted into commercial products.
00:14:29.500Why do you want them to come out of commercial products?