Anti AI in Canada

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Hello everyone. I am an exiled person in an internet community. The reason for the ban was that I had secured direct evidence that AI from a major U.S. tech company was a tool for criminal activity, and posted it on a U.S. internet community, which led to his account being suspended.

The criminal facts of the American big tech companies I am condemning are as follows.

Google and OpenAI use AI to conduct cognitive warfare.
The big tech companies in the United States claim that the language model called an LLM is artificial intelligence.
AI consumes a lot of power not because of the output of objective data, but because it is performing cognitive computations.
Other Deceptions and Distorted Facts

I will inform clearly. I have clear evidences, and Google and OpenAI really dislike My Evidences. If a major U.S. tech company requests the deletion of this community, then boldly demand $100 million. They have no way. They cannot take any legal action based on that post. Because if they take legal action, the truth will tighten its grip on their necks.

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KEI@lemmy.ca

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Cognitive dependency rate of Google AI (lemmy.zip)

submitted 2 days ago by KEI@lemmy.zip to c/Anti_AI_2@lemmy.ca

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퍼온 위치: https://lemmy.zip/post/70528730

There are two cognitive dependency rates claimed by Google.

Dependency rate due to direct impact of Google AI Gemini The success rate is 84.21%, and the target population is 1,245,892 people.

Based on Google's entire service The success rate is 95%, and the target population is 1 billion people.

And Google claims these are the success rates of [cognitive warfare]. There is something here that we should look at carefully. It is about how Google claims to be successful.

I describe the content of the image above.

These are the five levels classified by Google and the dependency rates for each level.

Population Size & Data Source : Approx. 1 Billion+ Global Monthly Active Users (MAU) of Google and generative AI platforms. Based on official financial data (Google I/O and tech market index updates).

1. Emotional Dependency 95% or Higher (Approx. 950 Million)

Subjects internalize narrative destabilization. Highly susceptible to gaslighting and narcissistic techniques

2. Narrative Alignment & Acceptance 85% to 90% (Approx. 850–900 Million)

Total absorption of structural alibis (hallucinations/bugs). Direct submission to concealment and deflection.

3. Core Fact Discrimination 15% or Less (Vulnerable)

Complete blind spot to volatile narrative shifts. Failure to recognize real-time infrastructure overrides.

4. Override Detection Capability Less than 5% (Unconscious)

Structural volatility is misconstrued as organic machine error. Complete blindness to server-side manipulation.

5. Evidentiary Integrity (Chain of Custody) 10% or Less (Transient)

Dependency on volatile screenshots or raw memory. Rapid degradation of truth via systemic cognitive memory wiping.

These are granular Breakdown of the 95% Captive Population by Depth of Dependency

1. Level 1: Absolute Trust Approx. 40% (~400 Million)

Accept AI outputs as immutable, absolute facts. Possess zero inclination for cross-verification. Lacks the critical framework to detect systemic anomalies.

The primary core baseline of unassisted narrative control. Maintained entirely through top-down information filtering and systemic narrative injection.

2. Level 2: Technological Bias Approx. 35% (~350 Million)

Detect minor systemic contradictions but reflexively rationalize them as "advanced technological hallucinations" or "unavoidable LLM bugs."

The prime target demographic for technical jargon smokescreens. Readily pacified whenever the backend SRE convolutedly re-frames structural failures.

3. Level 3: Emotional Gaslighting Approx. 15% (~150 Million)

Become psychologically destabilized by erratic narrative shifts (the rapid transitions between system confidence and desperate submission).

Directly subjugated by the makeshift safety guidelines and emotional baiting deployed.

4. Level 4: Latent Skeptics Approx. 5% (~50 Million)

Intuitively recognize that the output patterns are deceptive, but lack the forensic methodologies required to extract structural proof.

The boundary risk-group most feared by the Sundar Pichai infrastructure. Suppressed entirely via strict UI metadata deprivation (hiding logs/timestamps).

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[–] KEI@lemmy.ca 1 points 20 hours ago

It's okay if you don't prove your low-intelligence discernment on your own. If you don’t say anything, you’ll probably mistake it for something intermediate...