Synthetic Intelligence Pt. 1

How robots put a muzzle on humanity

This is the first in a series of articles about A.I. and propaganda

Many of you will be familiar with the disturbingly advanced deep learning program known as “ChatGPT”. Launched as an android chatbot, the program can write and debug software, answer questions interactively, write books and song lyrics, generate research papers, and generally carry out any language task imaginable.

The program is also prone to “hallucinations”. This has been defined as generated content that is nonsensical or unfaithful to the provided source content”. In other words, just like any average individual, the answers provided frequently fail to match the “reality” on which the knowledge is supposedly based.

There are a great many philosophical implications to this technology, and whether it truly constitutes artificial intelligence, in the sense of self-awareness or independent agency. What is indisputable, however, is that certain benchmarks are being approached which render the question academic.

Even academia is rendered “academic”. The program is already in use to perpetuate academic fraud, as a shortcut-seeking student can readily generate a credible essay using this technology. The ability of a computer to match the output of an average student shines a bright light on how rote and obsolete the education process has become, and cast a shadow on future careers being sought within the vast expansive realms of information management.

“The powerful new AI chatbot tool recently passed law exams in four courses at the University of Minnesota and another exam at University of Pennsylvania’s Wharton School of Business, according to professors at the schools.”

For better or worse, we currently co-exist on the planet with a computer program which is about as bright as an average law student at the University of Minnesota. From programmers to poets, anyone who builds language products by hand will have to compete with ever-improving iterations of these robotic clerks.

All this looks very much like an op, and could well be the op that C-19 was merely the prelude for. After all, the public unveiling is very likely several steps behind the military-grade A.I. that has been used to craft the pandemic narrative, including the hallucinatory nature of the “Science”.

From the standpoint of technocracy, we’ve reached the event horizon of a dystopian dreamscape, and all of human history is being dragged irrevocably into the infinitely dense object at the end of time. The potential is limitless. Virtual reality can be built by digital slaves, working out of self-replicating computer nets, and those of us running wetware can be retired to Legacy status.

The field of A.I. is complicated by the strong possibility that developing synthetic intelligence is not ethical at all. It’s a bellwether which cannot be un-rung. The rubicon has been crossed.

If this chatbot is so powerful and flexible, the proprietary military version is surely many benchmarks ahead. The applications are fairly obvious, and already evident in our daily lives.

Most immediately threatening is the potential for state surveillance. A bureau of investigators can be replaced with a row of servers, allowing Big Brother to snoop at scale. Worse, the ready availability of this tech creates an exigent circumstance, setting us up for the Hegel rebound.

This video explains in stark and chilling terms what this might look like.

🏛 Aristophanes 🏛 @Aristos_Revenge

Food for thought.

Another evident use is for flooding the zone with plausible-sounding computer-generated propaganda. There are severe staffing issues involved in allowing humans to be intimate with these efforts. Not everyone is capable of the advanced doublethink necessary to plant deliberate lies. The psychological strain is tremendous, the potential for whistleblowers too great.

All of these problems evaporate with A.I. One example of how powerful this can be is the global campaign to promote masking. This was accomplished, in a matter of weeks, by a WEF-linked group called “Masks4All”.

From their about page:

“#Masks4All is an all-volunteer org that started and powered the movement for people and Governments to follow the overwhelming scientific evidence that shows we need to wear homemade masks in public to slow COVID-19.

Now that this is widely accepted as a fact by Government, news, and health leaders, we’re focused on getting masks to be required across the U.S. and the world.”

The face of the organization was and is Jeremy Howard, Co-Founder & Leader
Distinguished Research Scientist at USF; Founding Researcher at fast.ai; Member of the World Economic Forum’s Global AI Council

The “team” is an odd congregation of tech start-up types, from webhost managers to wealth coaches, with a handful of academics in Prague, including an aerosols expert who certainly ought to know better. All of them appear in headshot photographs, to which someone has crudely added Photoshopped face masks. So much for realism from Big Tech, they didn’t even align them with the faces, and, um, where are the straps?

These pictures are about as real as the “science” this group was so confident in.

And so on. This group got it done, however. With a handful of videos and a mantra of assertion, they managed to turn our world upside down.

“Our message went viral and hundreds of thousands of people all over the world heard our message and took action on a scale much greater than we ever could have imagined.

1. The story was repeatedly covered by every major global news outlet and as a result, many health and government leaders re-examined the science and changed their opinions.

2. March 31st Update: Our video and Washington Post article both went extremely viral within days of launching and the story has almost instantly been picked up by almost every major media outlet in the world.

3. April 2nd Update: “It’s hard to explain just how fast the debate is moving here. When my article came out in The Washington Post on Saturday [March 28th] it was into a void – there was no mainstream discussion of this at all. Today I am briefing a bipartisan group of US senators and staffers on the issue and talking to international policy experts at Yale University. I was on Good Morning America yesterday telling people how to make masks. This has completely taken over my life.” –Jeremy Howard in a Sydney Morning Herald Interview 

4. April 3rd Update: The U.S. CDC changed its stance and now recommends masks! The U.S. “CDC recommends wearing cloth face coverings in public settings” because “a significant portion of individuals with coronavirus lack symptoms” and they can be contagious spreaders of the virus.”

What was the persuasive science that so dramatically reversed decades of studies? They keep talking about it, but the references are hard to find. Here’s one that was used to support the claims in the video, an Anthropology article from 2013:

“Our findings suggest that a homemade mask should only be considered as a last resort to prevent droplet transmission from infected individuals, but it would be better than no protection.”

So, practically overnight, this “all-volunteer” organization managed to flip established scientific consensus on its head, and leap from “maybe masks are better than nothing” to “everyone on the planet must be muzzled at all times,” by fiat decree.

For these reasons, we have long believed that the true origin of the mask madness was some A.I. program. Notice that the process yielded this paper, called Testing the Efficacy of Homemade Masks: Would They Protect in an Influenza Pandemic?-but, in an evident hallucinatory episode, this conclusion was converted from “last resort” to “global mandate”.

It is as if they asked ChatGPT to source all studies supporting masks, and then added this to the references without any human checking to see if the paper was credible, or if it even supported the proposition. Plug and play.

Back to ChatGPT, there’s so much more to cover, look for Pt.2 in this series.