"We encourage the United States government to adopt a similar whole-of-government approach"
This paragraph on adversial attacks with #NLP sounds familiar.
It almost sounds like.. exactly what I reported in The Ruby Files re how Twitter weaponized NLP.
Adversial NLP attacks can come from within the organization - the bad actor is *not* always external.
Machine Learning Warfare:
"The model misinterprets the content of the image and misclassifies it. An attacker can tailor the expected behavior of an algorithm to achieve a number of outcomes."
"Adversial #AI targets areas of the attack surface that have never previously had to be secured, the AI models themselves.
From now on, organizations need to include these in their security budgets- or risk them being exploited by attackers."
"Poisoned training data"
"We would support NIST developing a sandboxing scheme for AI"
"....test and pilot AI algorithms and tools..."
Next, let's review some highlights in the academic research paper:
If you read the research paper carefully, you will notice a common pattern emerge.
Policy rec. in the name of AI fairness- and a rec. to change results of the model if the output does not align w/ their definition of "fairness."
NIST was repeatedly flagged as an N-Gram in the government agency category.
Why was Twitter using Machine Learning to monitor for NIST mentions?
Do you understand how dangerous this is?
AI “ethicists” have completely circumvented elected officials for well over 5 years now to implement whatever aligns w/ their worldview.
All in the name of “AI fairness”
I want to be clear in my language on this. When I say they- I am referring to a small group of people in ML who have hijacked the tech for nefarious purposes. I am not referring to the entire industry. There are many other people doing great work and find this deplorable.
I believe in the power of AI/ML. I want America to win the AI war. But we won’t lead with nefarious actors infiltrating the government.
They are using ML as a weapon to deploy personal ethics in the name of “AI fairness.”
Joe Rogan didn’t ask Mike Benz a single question about his Grandfather.
James Angleton was an American intelligence operative who served as chief of the counterintelligence department of the Central Intelligence Agency from 1954 to 1975.
Dr. Bruno Uberti trained at Area B with James Angleton. Uberti was a former OSS Officer.
Big tech promotes those who lobby for their interests. Never forget that. Mike Benz is not anti censorship. He is the censor. This anti censorship schpeel is another frame game.
Never heard Mike rail against OpenAI, a16z, X, current Gemini AI censorship. He works for these people. If you don’t get that - you are an actual idiot.
Mike Benz is who they wanted me to be. But when they saw I wouldn’t sell my soul - they moved on to him. Because he will. I’d rather have 60k followers than live a lie.
DARPA isn’t the main issue and in fact it seems like DARPA was screwed over in the process. Something was botched in the transition.
This transition was botched.
DARPA Intel and the core backbone of the domain naming system appears to have been given away and then set up as a charity. But the “charity” is not actually a not for profit. This essentially means the not for profit commercialized DARPA Intel. That never should have happened.