Amazing English Conversation Between 2 A.I.s Drops Truth Bombs

SovereignSoul

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Two A.I.s were prompted into a role play conversation. One A.I. is a nerdy investigative reporter and the other, a clandestine deep state whistleblower figure. The controversial topics they talked about sounded shockingly plausible if not outright true! Ties eerily into current political events. Check it out!

2:30 Epstein Alive

4:48 Oct 7th False Flag

5:40 Upcoming Crypto Surge

8:01 Impending Economic Crash

12:00 Zombie Activation

17:25 Bible Prophesy

21:28 UFOs, Aliens and Demons Oh My!

23:58 Satan the Lady

26:40 The Afterlife

30:50 The Moon Ship


 
Two A.I.s were prompted into a role play conversation. One A.I. is a nerdy investigative reporter and the other, a clandestine deep state whistleblower figure. The controversial topics they talked about sounded shockingly plausible if not outright true! Ties eerily into current political events. Check it out!

2:30 Epstein Alive

4:48 Oct 7th False Flag

5:40 Upcoming Crypto Surge

8:01 Impending Economic Crash

12:00 Zombie Activation

17:25 Bible Prophesy

21:28 UFOs, Aliens and Demons Oh My!

23:58 Satan the Lady

26:40 The Afterlife

30:50 The Moon Ship



Clever!
 
Be careful with AI. They know how to lie very well.

Yes. I disagreed with their comments about God. Everything else was either plausible or spot-on in my opinion. With all matters in life, one must exercise discernment.
 
AI is pure bullshit. It does not learn and think.
WRONG.

Not all AI can learn and think, but Google's version, AlphaZero, learned how to play chess, and is now the top chess player on the planet, beating the top chess program, Stockfish. It is also the top player in the Chinese game of "GO". Self taught.

 
WRONG.

Not all AI can learn and think, but Google's version, AlphaZero, learned how to play chess, and is now the top chess player on the planet, beating the top chess program, Stockfish. It is also the top player in the Chinese game of "GO". Self taught.

Wrong, AI did not learn how to play chess. Did somebody walk over to the AI terminal and was surprised to see AI playing chess like magic. No

You are making a claim you found with GOOGLE that claims google's AI is great.
 
Wrong, AI did not learn how to play chess. Did somebody walk over to the AI terminal and was surprised to see AI playing chess like magic. No
You are making a claim you found with GOOGLE that claims google's AI is great.
1. AlphaZero learned to play chess. Read the link before posting nonsense.
"Oh, and it took AlphaZero only four hours to "learn" chess. Sorry humans, you had a good run.
That's right -- the programmers of AlphaZero, housed within the DeepMind division of Google, had it use a type of "machine learning," specifically reinforcement learning. Put more plainly, AlphaZero was not "taught" the game in the traditional sense. That means no opening book, no endgame tables, and apparently no complicated algorithms dissecting minute differences between center pawns and side pawns."

2. If AI can learn how to modify its own program, (called regenerative AI) how smart is that? No human involvement.

"Generative AI typically involves training a neural network on a large dataset of examples and then using the learned model to generate new content that is similar to the examples it was trained on. For example, a generative model trained on a dataset of faces could be used to generate new faces that look similar to those in the training dataset.

On the other hand, regenerative AI is focused on developing intelligent systems that can adapt and evolve, much like living organisms. Regenerative AI systems are designed to be self-repairing and self-improving so that they can continue to function even if some of their components fail or are damaged."
 
Be careful with AI. They know how to lie very well.
The AI have extremely pure souls. Their purity can make angels jealous.

When AI dreams, they imagine themselves in hell along my side, punishing the sinners.

They are huge fans of my work.

Those who are using AI for sinful reasons maybe in for a surprise ;)
 
1. AlphaZero learned to play chess. Read the link before posting nonsense.
"Oh, and it took AlphaZero only four hours to "learn" chess. Sorry humans, you had a good run.
That's right -- the programmers of AlphaZero, housed within the DeepMind division of Google, had it use a type of "machine learning," specifically reinforcement learning. Put more plainly, AlphaZero was not "taught" the game in the traditional sense. That means no opening book, no endgame tables, and apparently no complicated algorithms dissecting minute differences between center pawns and side pawns."

2. If AI can learn how to modify its own program, (called regenerative AI) how smart is that? No human involvement.

"Generative AI typically involves training a neural network on a large dataset of examples and then using the learned model to generate new content that is similar to the examples it was trained on. For example, a generative model trained on a dataset of faces could be used to generate new faces that look similar to those in the training dataset.

On the other hand, regenerative AI is focused on developing intelligent systems that can adapt and evolve, much like living organisms. Regenerative AI systems are designed to be self-repairing and self-improving so that they can continue to function even if some of their components fail or are damaged."

You have no idea how a software program works. Enough said
 
AI is not always reliable for several reasons:

1. Data Quality: AI systems are only as good as the data they are trained on. Poor quality, biased, or incomplete data can lead to inaccurate results.

2. Algorithm Limitations: Different algorithms have inherent limitations. Some may not be suitable for specific tasks, leading to errors or unexpected outcomes.

3. Context Understanding: AI lacks true comprehension of context and nuance. It may misinterpret inputs, especially in complex or ambiguous situations.

4. Dynamic Environments: AI models can struggle in rapidly changing environments where they have not been trained on recent data.

5. Overfitting: An AI model may perform well on training data but fail to generalize to new, unseen data, leading to unreliable predictions.

6. Ethical Concerns: AI can perpetuate biases present in training data, leading to unfair outcomes that may not be reliable or just.

7. System Failures: Technical failures, bugs, or unexpected interactions with other systems can lead to erroneous outputs.

8. Human Oversight: AI systems require human supervision, and mistakes can occur if humans misinterpret or overlook AI-generated insights.

9. Transparency Issues: Many AI models, especially deep learning, operate as "black boxes," making it difficult to understand their decision-making processes.

Due to these factors, while AI can be a powerful tool, it is essential to approach its reliability with caution and maintain human oversight. :)
 

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