NEW CC Perspectives on Levels of Conspiracy & Corruption in 2020 Election, CV19 & DS Existence

[Solemateleft]

"The Chief Digital and Artificial Intelligence Office" sounds like the military is well passed the research and development stage.

Nope... standing up an office is a long a beaurocratic process... Creating a Strategy and an effective Implementation Plan is key... Strategies have been kicked around... Lots of research has been INVESTED... but the thing about EXPERIMENTATION and especially Military Experimentation - means LOTS of TRIAL and ERRORS.... meaning lots of FAILURE and costly lessons learned and wasteful spending... The shift in FOCUS is upon the DATA!!! with the recognition that DoD/USMC needs to improve DATA MANAGEMENT in order to develop Authoritative Data...

 

[ZNP]

That is very impressive insight and research... No doubt... ACCESS to GOOD Trustworthy DATA is KEY...

BUT the translation into MILITARY APPLICATION is NOT trivial when a HUMAN is allowed the opportunity to TRICK the AI with MASKS... For example What if a stadium of students wore the same FACE MASK as your intended Target as DECOYS?

1. www.wired.com › story › foundations-ai-riddled-errorsThe Foundations of AI Are Riddled With Errors | WIRED
   
   Mar 31, 2021 · The Foundations of AI Are Riddled With Errors | WIRED Will Knight Business Mar 31, 2021 7:00 AM The Foundations of AI Are Riddled With Errors The labels attached to images used to train...
2. tech.co › news › list-ai-failures-mistakes-errorsAI Gone Wrong: A List of AI Errors, Mistakes and Failures
   
   2 days ago · AI Gone Wrong: An Updated List of AI Errors, Mistakes and Failures 2023 We track the latest AI errors and mistakes from 2023 and previous years, and catalog AI's worst failures to
3. www.technologyreview.com › 2021/04/01 › 1021619AI datasets are filled with errors. It's warping what we know ...
   
   Apr 1, 2021 · April 1, 2021 Jeremy Lwanga/Unsplash The 10 most cited AI data sets are riddled with label errors, according to a new study out of MIT, and it’s distorting our understanding of the field’s...
   • Author: Karen Hao
4. neurosciencenews.com › visual-recognition-ai-25229Tool Reveals Neural Network Errors in Image Recognition
   
   Nov 16, 2023 · The tool offers a visual representation of how the network categorizes images, highlighting areas of confusion. By mapping relationships between images, researchers can identify instances where the network struggles to differentiate between classifications, improving transparency in AI decision-making.
5. www.csail.mit.edu › news › image-recognitionImage recognition accuracy: An unseen challenge confounding ...
   
   Dec 15, 2023 · MIT Computer Science and Artificial Intelligence Laboratory (CSAIL) researchers were surprised to find that despite the critical importance of understanding visual data in pivotal areas ranging from health care to transportation to household devices, the notion of an image’s recognition difficulty for humans has been almost entirely ignored.
6. www.microsoft.com › en-us › researchImage Recognition: Current Challenges and Emerging ...
   
   Nov 1, 2018 · For critical applications such as autonomous driving, the cost of recognition errors is very high. So enormous datasets, containing hundreds of millions of images with rich annotations,

It took Alpha Go two or three months to train itself to become a master at Go from being a very good Go player. This tells you that five years ago AI was exceptionally good at identifying faces, then from 2020 the AI was fed massive amounts of data to read faces that are wearing masks and identify them due to the Pandemic. I'm going to guess that AI can identify faces and masks better than any human at this point. Although AGI might still be beyond the capability of the military, they have proved that AI is exceptionally good when you have a clearly defined and narrow goal.

 

[Solemateleft]

It took Alpha Go two or three months to train itself to become a master at Go from being a very good Go player. This tells you that five years ago AI was exceptionally good at identifying faces, then from 2020 the AI was fed massive amounts of data to read faces that are wearing masks and identify them due to the Pandemic. I'm going to guess that AI can identify faces and masks better than any human at this point. Although AGI might still be beyond the capability of the military, they have proved that AI is exceptionally good when you have a clearly defined and narrow goal.

The issue remains access to trustworthy Data…
As we have learned in an Information Warfare … Information Data is NOT Trustworthy and DATA for Warfighting that can be manipulated for deception is not the same as Zclean trustworthy data that we trust is not being manipulated…
The Marine Headlines with DARPA Experiments is only the Tip of the iceberg for how Humans can trick machines that have NOT been trained on mis information by human deception, which is the nature or warfare and military applications…
Yes, advances in Tech are ripe, but it is all about the data…
If you read between the lines on the CDAO latest strategy and the Responsible AI guidance you will begin to acknowledge the DOD Data problem is a real problem that DOD is striving to address…

 

[ZNP]

The issue remains access to trustworthy Data…
As we have learned in an Information Warfare … Information Data is NOT Trustworthy and DATA for Warfighting that can be manipulated for deception is not the same as Zclean trustworthy data that we trust is not being manipulated…
The Marine Headlines with DARPA Experiments is only the Tip of the iceberg for how Humans can trick machines that have NOT been trained on mis information by human deception, which is the nature or warfare and military applications…
Yes, advances in Tech are ripe, but it is all about the data…
If you read between the lines on the CDAO latest strategy and the Responsible AI guidance you will begin to acknowledge the DOD Data problem is a real problem that DOD is striving to address…

yes, but the reality is that AI can train itself to be as good if not better than a human at identifying a face. The problem you are talking about is that you may not have a good picture of the target, but that is just as much a problem for a human as AI

 

[Solemateleft]

It took Alpha Go two or three months to train itself to become a master at Go from being a very good Go player. This tells you that five years ago AI was exceptionally good at identifying faces, then from 2020 the AI was fed massive amounts of data to read faces that are wearing masks and identify them due to the Pandemic. I'm going to guess that AI can identify faces and masks better than any human at this point. Although AGI might still be beyond the capability of the military, they have proved that AI is exceptionally good when you have a clearly defined and narrow goal.

I don’t doubt what AI can do with big data that it has been trained with…
I challenge the trustworthiness of AI on Data that it has Not been trained on. Uncertainty is the nature of warfare…
I’m not talking about cloth masks, I’m talking about state of the art Hollywood caliber rubberized cloning masks…

The Israeli shooting of innocent hostages is a good example…. Israel has the best TTPs in these hostage situations and yet they killed innocent victims…. I assume it has less to do with the Israeli human error and more to do with Hamas deception… ie Hamas introduced new data into that scenario that the expert had never seen before, ie Hamas deception likely had a role in triggering this incident…
How many cops accidentally kill kids or teens with Toy Guns?
If the AI has not been trained with Data or Deception type Data it is Not Trustworthy….
We DoD are working on human in the loop processes to assist with Decision Making in such uncertain circumstances and scenarios…
The enemy will take that 2% error rate and exploit it to their advantage…
That 2% error rate Does Not factor in Deception Data that will be injected into Warfare applications…
Therefore the emphasis upon Trustworthy and Responsible AI based upon authoritative data…

 

[ZNP]

I don’t doubt what AI can do with big data that it has been trained with…
I challenge the trustworthiness of AI on Data that it has Not been trained on. Uncertainty is the nature of warfare…
I’m not talking about cloth masks, I’m talking about state of the art Hollywood caliber rubberized cloning masks…

The Israeli shooting of innocent hostages is a good example…. Israel has the best TTPs in these hostage situations and yet they killed innocent victims…. I assume it has less to do with the Israeli human error and more to do with Hamas deception… ie Hamas introduced new data into that scenario that the expert had never seen before, ie Hamas deception likely had a role in triggering this incident…
How many cops accidentally kill kids or teens with Toy Guns?
If the AI has not been trained with Data or Deception type Data it is Not Trustworthy….
We DoD are working on human in the loop processes to assist with Decision Making in such uncertain circumstances and scenarios…
The enemy will take that 2% error rate and exploit it to their advantage…
That 2% error rate Does Not factor in Deception Data that will be injected into Warfare applications…
Therefore the emphasis upon Trustworthy and Responsible AI based upon authoritative data…

Yes, well I doubt there are a whole lot of people in Gaza or Lebanon or Syria wearing Hollywood caliber rubberized cloning masks.

Also they didn't say that they had 2% error they had 0.2% error, that means 99.8% success and that was 5 years ago. They have probably cut that to 0.1%. But they know the cause, so if they reduce their targets to the 80% most likely to be true they can probably increase the accuracy to 99.99%.

If you watch the movie "Mrs Doubtfire" you can see that it is not a simple matter to put on one of those masks. You need to sit in front of a mirror with your makeup kit and do more work than simply pull on a mask. In a war zone like Gaza with the power off and buildings turned to rubble it is difficult to believe after two or three months anyone could still be wearing a Hollywood caliber mask that AI would not be able to identify. Also, anyone still wearing such a mask three months into a war would have to be a very high value target.

 

[ZNP]

Also, during the pandemic they came up with the excuse to test everyone on the planet. They were gathering DNA evidence. This allows them to identify the genealogy of each person. As a result many people who were trying to hide their identity have now been identified. With cameras everywhere you have good quality pictures of everyone, the problem is matching a face to a name. With the DNA they are able to match the face with the name.

 

[ZNP]

In Research and development you begin with a hypothesis that a computer can be trained to do intelligent tasks. That was confirmed during WW2 when they used computers to break enigma's code.

You then have to come up with a way to teach the computer to do these tasks. The military has been working on this since WW2 with all the funding they need. We know they used computers for war games, and we know that they are at least as advanced as corporate America though those in the know say they are 25 years ahead.

Once you figure out how to train them, and we know they have figured out all you need is a lot of premium data, you then begin to develop the program which in this case means feed it premium data.

1. Facebook provides premium data for creating a file on every single person on the planet along with photos, etc.

2. All the drones and robots they started using after 911 gives them premium data on training AI to fly and operate these robots.

We may not know how advanced they are in secret but we do know that they have been working on robots and drones since 911 and we know given enough good data AI can perform far better than humans. We know they wanted self driving cars and they have done that as well.

We also know that wars showcase your technology that you want to sell. Once you have the helicopters and F15's then you need a war to sell them.

 

[Solemateleft]

In Research and development you begin with a hypothesis that a computer can be trained to do intelligent tasks. That was confirmed during WW2 when they used computers to break enigma's code.

You then have to come up with a way to teach the computer to do these tasks. The military has been working on this since WW2 with all the funding they need. We know they used computers for war games, and we know that they are at least as advanced as corporate America though those in the know say they are 25 years ahead.

Once you figure out how to train them, and we know they have figured out all you need is a lot of premium data, you then begin to develop the program which in this case means feed it premium data.

1. Facebook provides premium data for creating a file on every single person on the planet along with photos, etc.

2. All the drones and robots they started using after 911 gives them premium data on training AI to fly and operate these robots.

We may not know how advanced they are in secret but we do know that they have been working on robots and drones since 911 and we know given enough good data AI can perform far better than humans. We know they wanted self driving cars and they have done that as well.

We also know that wars showcase your technology that you want to sell. Once you have the helicopters and F15's then you need a war to sell them.

For someone who has spent the past 40 years working for DoD, I’m here to tell you, that it is a lot easier said than done…
My field is Operations Research Analysis… so you are preaching to the choir when it comes to hypotheses, research and design of experiments…
I’m also here to tell you that DoD doesn’t have all the funding that is needed…. The buracracy for DoD POM investments are a hot mess since the Obama administration has discontinued the Quadrennial Defense Reviews to allow the services the means to analytically defend its equities and justification for future investments…

Testing and validation are Key…
I don’t deny anything that you are advocating for, but unfortunately, the reality of DoD beuracracy is Real…

Besides, every movie ever made that addresses the military’s application of AI in a reckless manner never ends well for the good guys…

 

[Solemateleft]

Yes, well I doubt there are a whole lot of people in Gaza or Lebanon or Syria wearing Hollywood caliber rubberized cloning masks.

Also they didn't say that they had 2% error they had 0.2% error, that means 99.8% success and that was 5 years ago. They have probably cut that to 0.1%. But they know the cause, so if they reduce their targets to the 80% most likely to be true they can probably increase the accuracy to 99.99%.

If you watch the movie "Mrs Doubtfire" you can see that it is not a simple matter to put on one of those masks. You need to sit in front of a mirror with your makeup kit and do more work than simply pull on a mask. In a war zone like Gaza with the power off and buildings turned to rubble it is difficult to believe after two or three months anyone could still be wearing a Hollywood caliber mask that AI would not be able to identify. Also, anyone still wearing such a mask three months into a war would have to be a very high value target.

That report was based upon access to data that is assumed to be trustworthy, but it is likely not based upon data that it has not been exposed to before….
It is not based upon data and an opposition who was attempting to deceive it as would a human adversary or even better an AI adversary trained to deceive its adversary…
Yes, there are technologies that can be leveraged for future applications and use, but until you and the generals are willing to stress test AI with a thinking enemy, blindly accelerating AI without acknowledging the potential RISKS is reckless and dangerous for our military personnel as well as innocent civilians…
I seem to be acknowledging the advances and technology and anticipated military uses, but you seem to be dismissive of all potential risks….

 

[ZNP]

For someone who has spent the past 40 years working for DoD, I’m here to tell you, that it is a lot easier said than done…
My field is Operations Research Analysis… so you are preaching to the choir when it comes to hypotheses, research and design of experiments…
I’m also here to tell you that DoD doesn’t have all the funding that is needed…. The buracracy for DoD POM investments are a hot mess since the Obama administration has discontinued the Quadrennial Defense Reviews to allow the services the means to analytically defend its equities and justification for future investments…

Testing and validation are Key…
I don’t deny anything that you are advocating for, but unfortunately, the reality of DoD beuracracy is Real…

Besides, every movie ever made that addresses the military’s application of AI in a reckless manner never ends well for the good guys…

It is impossible to do 100%, it is very difficult to do 80%, but to do 40%, AI can already do 40%. That is a very powerful tool to be able to handle 40% of your warfare.

Remove 40% of any job and the remaining 60% is not so difficult.

AI can do 40%, and it is very helpful in the remaining 60%.

The Bible talks about a 200 million army. Logistically that is not feasible today unless we are talking about tens of millions of robots and drones.

 

[ZNP]

That report was based upon access to data that is assumed to be trustworthy, but it is likely not based upon data that it has not been exposed to before….
It is not based upon data and an opposition who was attempting to deceive it as would a human adversary or even better an AI adversary trained to deceive its adversary…
Yes, there are technologies that can be leveraged for future applications and use, but until you and the generals are willing to stress test AI with a thinking enemy, blindly accelerating AI without acknowledging the potential RISKS is reckless and dangerous for our military personnel as well as innocent civilians…
I seem to be acknowledging the advances and technology and anticipated military uses, but you seem to be dismissive of all potential risks….

It all depends on the target. If your target is not so specific, rather you want to target men capable of fighting that would be far easier target.

 

[Solemateleft]

The Epstein Files Reveal The Shocking Truth! - Dan Bongino Live
Thursday, January 4, 2024 16:21

In this episode, I break down the shocking revelations from the Epstein files. Who else is implicated?
Why is Bill Clinton still walking free? Pedophile?

 

[SomeDisciple]

 

[Solemateleft]

It is impossible to do 100%, it is very difficult to do 80%, but to do 40%, AI can already do 40%. That is a very powerful tool to be able to handle 40% of your warfare.
Remove 40% of any job and the remaining 60% is not so difficult.
AI can do 40%, and it is very helpful in the remaining 60%.
The Bible talks about a 200 million army. Logistically that is not feasible today unless we are talking about tens of millions of robots and drones.

Agree...
UNFORTUNATELY DoD does NOT have an EASY Button nor a good Plan to streamline such a deliberate effort... Albeit the latest Strategy and Implementation guidance documents are getting better... But in order to MITIGATE RISKS (that's my focus/role) Risk has to be IDENTIFIED and Understood in order to grasp the implications of what ACCEPTBLE RISK actually IS...
Coincidentally... The USMC is having an AI Winter Symposium next week and my boss is 1 of 2 Government personnel on a Panel that will include 4 personnel from Industry... The hosts objective is to show all the Generals the Shiny AI Objects to get them all liquored up to accelerate acquisition of promising prototypes that have NOT been fully vetted, tested and stress tested to mitigate un anticipated risks...
As result, I've written a few INFORMATION Papers to assist him with his talking points for this AI Panel... As the Data Experts for the USMC, my boss is in a coveted position to help provide the necessary GUARD RAILS to HELP our service to proceed Smartly and Effectively as good stewards of our services limited budget...

Years ago the USMC was similarly ready to fast track a 50 Cal MG with AI acoustics to rapidly respond to enemy sniper fire... I designed an Experiment to have snipers fire exactly at the same time from 180 degrees from the 50 Cal MG Vehicle... The AI MG spun 360 degrees around and AIMED itself backwards towards the FRIENDLY rear area... Without a HUMAN on the TRIGGER this AI MG would have inadvertently resulted in Blue Force Fratricide... an example of completely UNACCEPTABLE outcomes because the Generals were impressed by the prototype and wanted to get it fielded asap... That would have been a HUGE MISTAKE!!!

This Air Force Targeting AI Thought It Had a 90% Success Rate. It Was More Like 25%
Too little of the right kind of data can throw off target algorithms. But try telling the algorithm that.
https://www.defenseone.com/technolo...it-had-90-success-rate-it-was-more-25/187437/

Artificial Intelligence: Too Fragile to Fight?
Information Warfare Essay Contest—First Prize. Sponsored by Booz Allen Hamilton.
Automation—including AI—has persistent, critical vulnerabilities that must be thoroughly understood and adequately addressed if defense applications are to remain resilient and effective.
By Commander Edgar Jatho, U.S. Navy, and Joshua A. Kroll
Proceedings Vol. 148/2/1,428
https://www.usni.org/magazines/proceedings/2022/february/artificial-intelligence-too-fragile-fight

Look past the specific technology to its effects
A key lesson of history is that effective regulation focuses on prioritizing the effects of the new technology, rather than the ephemeral technology itself. The transformational nature of a new technology is not per se the primary technology itself, but rather the secondary effects enabled by that development. We didn’t regulate the railroad tracks and switches; we regulated the effects of their usage, such as rates and worker safety. We didn’t regulate the telegraph (and later telephone) wires and switches, but whether access to them was just and reasonable. History’s road map is clear: If there is to be meaningful regulation of AI, it should focus on the tangible effects of the technology.

Why hasn’t AI delivered on its promise?
It’s not that AI technology isn’t up to the challenge. We just haven’t supported it with the right enablers—both technological and human.
https://www2.deloitte.com/us/en/insights/topics/emerging-technologies/ai-adoption-challenges.html

AI drone 'kills' human operator during 'simulation'
Sky News
https://news.sky.com › story › ai-drone-kills-human-o...

Jun 2, 2023 — It turned on its operator to stop it from interfering with its mission, according to a top official - but the US Air Force denies any such ...
Missing: mishap ‎| Show results with: mishap
AI-operated drone goes wild, kills human operator in US ...
https://www.indiatoday.in › Technology › News

Jun 2, 2023 — In this particular scenario, the drone was assigned the task of destroying the enemy's air defense systems and was programmed to retaliate ...

 

[Solemateleft]

JustHuman shared:

The release of new Epstein/Maxwell-related documents has refreshed allegations that Trump was somehow complicit in the blackmailing enterprise that they ran.

This could not possibly be more untrue.

Though some of the transcripts that mention Trump, Mar-a-Lago, and the Atlantic City Casino are newly public, it was previously known and recently testified to in the Maxwell trial that Epstein/Maxwell targeted Mar-a-Lago and that one of the girls in that trial, "Jane," was taken there in 1994.

It was also previously known that Trump chartered one of Epstein's planes to take him from Florida to New Jersey. This was testified to by the pilot when he took the witness stand in Maxwell's trial.

However, what is key here is that Epstein messed up by putting himself on Trump's radar. Here's how:

The Atlantic City hotel was a trap for criminals from day one. The FBI and the Trump Organization coordinated during the pre-construction phase to set it up as such. Mar-a-Lago is likely similarly set up.

Epstein/Maxwell's targeting of Mar-a-Lago employees and guests later caused Trump to ban them from the property in 2008, shortly before Epstein pleaded guilty.

Furthermore, and perhaps most significantly as it concerns these new documents, the very attorney who helped get them unsealed says that Trump was the only person who picked up the phone and was eager to help him investigate Epstein and Maxwell. And that was back in 2009.

Do you know of any other acquaintances or clients of Epstein who were eager to help any investigator or journalist who was looking into Epstein or Maxwell?

So, when you include this information (and I put the citations below), Epstein and Maxwell were walking directly into a trap set up by Commissioner Gordon and Bruce Wayne/Batman when they engaged with Trump and visited his properties!!

PS: Another bad move Epstein made was trying to "weasel" his way back into Trump's world in 2016, no doubt trying to make friends in high places ahead of a Trump Presidency ( a Clinton Presidency would have been preferable to him, of course). And so Epstein had lunch with Trump ally Peter Thiel, who we now know was also a DOJ asset! Hahahaha!!

PSS: Y'all know that it was Trump's DOJ who indicted both Epstein and Maxwell, right?

Citations:
Atlantic City Casino source: https://www.documentcloud.org/documents/3381447-1981-File-Says-Donald-Trump-Offered-to-Fully.html

Further reading:
https://archive.is/h9bBg

"Jane" goes to Mar-a-Lago and pilot says Trump chartered plane
https://www.washingtonexaminer.com/...as-taken-to-trumps-mar-a-lago-when-she-was-14

Trump bans Epstein from Mar-a-Lago
https://www.cnbc.com/2020/08/04/tru...tein-from-mar-a-lago-for-hitting-on-girl.html

Trump and the Trump Org served as assets to the FBI/DOJ for DECADES:
https://threadreaderapp.com/thread/1717648610005811360.html

Video of Brad Edwards saying Trump helped him in 2009.
https://www.bitchute.com/video/Utfd3JEbXba7/

And look, if you don't believe me about Trump and the Trump Org serving as assets of DOJ for decades, fine. I get it. Seems wild given what the news says and what Trump says.

But I must point out to you that a journalist recently filed a FOIA that resulted in DOJ having to confirm it to be true.
https://storage.courtlistener.com/recap/gov.uscourts.dcd.206288/gov.uscourts.dcd.206288.23.0.pdf

Epstein contacts Peter Thiel in attempt get back into Trump's orbit
https://archive.is/RmaZZ

 

[Solemateleft]

On The Fringe: Drips Are Meant To Raise Our Collective Level! These First Releases Are For The Normies! - Must Video
Thursday, January 4, 2024 19:14

Things are going to continue to come out. The truth WILL come out into the public view, and even the deep state media will HAVE to cover it. Sucks being them…

 

[Solemateleft]

X22 Report: The Start, Epstein Narrative Established, Crimes Against Children Unite All Humanity! - Must Video
Thursday, January 4, 2024 19:59

The Epstein files have been released, this is not the client list, this is the testimony of Virginia Giuffre. This is just the start, the Epstein narrative has now been established, these are crumbs and the people need time to digest the information. The [DS] dropped the information at the same time released the election interference documents, coincidence, I think not. Navarro is now predicting that Michelle Obama will replace Biden. The stage is being set, Crimes against children unite all of humanity.

 

[ZNP]

Putin’s Drones Hunt Down Ukrainian Tanks as Zelensky’s Counteroffensive Fails | From The Frontline

Russia is using AI and drones to hunt down tanks.

Perhaps Ukraine should be using Hollywood masks to hide their tanks, also cardboard boxes and painting them to look like trees.

 

[Solemateleft]

Putin’s Drones Hunt Down Ukrainian Tanks as Zelensky’s Counteroffensive Fails | From The Frontline

Russia is using AI and drones to hunt down tanks.

Perhaps Ukraine should be using Hollywood masks to hide their tanks, also cardboard boxes and painting them to look like trees.

lol, we actually do use mock up decoys in real warfare planning and execution …
No argument that drones are effective in warfare…
We’ll just agree to disagree on fundamental warfare applications with Responsible and Trustworthy AI per the current CDAO guidance and directions…
But since you have so much to offer DoD professionals, just let me know and I’d be happy to set you up as a consultant to advise DoD on how to go about developing and acquiring AI for military use…