AI Revolution the Good the Bad
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AI Revolution- The Good And Bad- A Dangerous New Phase

Nine countries in the world currently have about 13,000 nuclear bombs. With these 13,000 nuclear bombs, it is possible to wipe out human civilization on earth 5 to 10 times. Now think about what would happen if control of all the nuclear bombs in the world were passed to an AI Revolution the Good the Bad.

In this era, war is no longer a game of strength, but technology. If we analyze the four-day war between India and Pakistan a few days ago, we can understand how big a role technology played in the village used in Operation Sindoor. The Brahmos missile used in Operation Siddur was an AI powered missile. And the Israeli-made Heron Mark 2 drones that India used all had cutting-edge of AI Revolution the Good the Bad. AI is now a bit of a fear.
The whole world is going through a new revolution. Humans have never learned to use powerful technologies like AI in a controlled and ethical way, and so it was very necessary to write such article to make you aware of AI Revolution the Good the Bad.


On May 8th, a woman posted on Facebook that someone was making an obscene video with her picture and spreading it on the internet. As I said before, we have not yet learned the controlled and ethical use of AI, which is why this technology is becoming a curse for some.


A news article by The Daily Star in Bangladesh describes a horrific cybercrime. A teenage girl was blackmailed and threatened into making a porn video of her. Just imagine how traumatic this is for a young woman.

Let’s see what the research says. According to the Deeptrace labs report, 96% of deep fake videos are porn, the amount of which is doubling every year, and the result is that many girls’ lives are ruined by being victims of blackmail, traumatized for life, even some are choosing suicide.


Suppose someone makes a fake video of you or your sister and spreads it on the internet, then you will realize how helpless you are. The only reason for these words is so that at least those who are reading this article do not step on the terrible road of deep fake. Politicians and celebrities are the most in trouble due to deep fake news.


In the future, perhaps this deep fake could lead to political war. If a political person’s replay and can provoke another political person, it will be possible to shake the world by sitting at home with a computer.
In this age of AI, our attention span is decreasing day by day. Research has shown that the attention span of a Gen Z is only eight seconds, which is equal to the attention span of a goldfish.


Since the global release of Chat GPT on November 30, 2022, everyone’s life has changed, isn’t it? Writing emails, doing assignments, writing content, generating images, solving problems, cheating on online exams, everything can be done with Chat GPT.

At this moment, an urgent question comes to the fore, why does the Chat GPT 4 have the answer to everything, how does it answer everything so quickly? If you pay a little attention, you will easily understand some very complex things. Think a little step by step. When we talk or write in real life, we use the same human language when working with Chat GPT. For example, if you tell Chat GPT that I am not feeling well today, I will not be able to go to the office. Write me an email for sick leave. Immediately,

Chat GPT writes you an email. The interesting thing is that the GPT 4 also understands your mixed language. For example, if you are giving instructions in a mix of English and French, the Chat GPT 4 will understand it. Chat GPT or such Gen AIs modeled after LLM or Large Language can understand natural human language and accordingly can answer you in natural English.

In simple terms, LLM is an AI model that can understand human natural language. Now the question arises as to how AI model can understand our language. Who taught it to him? But there is an answer in the question. Think about it, how did you learn to speak in your native language? So, you were talking to your native language and you understood it and you understood some patterns that certain words are likely to cause certain actions.

If you say give me water, you are more likely to get water. If you say give me dinner, you are more likely to get dinner. The LLM model also works in the same way. This model is framed with millions of books, web pages, and available public data. The data with which the model is trained is called a data set.

Although there is no published information, it is estimated that the new model of Chat GPT, GPT-4, was trained with more than four trillion data sets. The model learns on its own from this training.
Then comes Gen AI or Generative AI which can create something new, for example, if you tell Chat GPT to write a story about a boy who gets lost on the moon, it will sit down and create a new story based on the patterns it has learned from previous stories. Similarly, if you tell it to give you a picture of a tiger sitting in an office wearing a suit, it will create a completely new picture based on the description.

This means that here AI is not just finding something old, but is using the knowledge it has learned from the old to create something completely new. This is Generative AI. Generative AI can basically create four types of content: number one text, such as captions written with Chat GPT in blogs or emails; number two images, such as images created with Mid Journey or with others; number three audio, such as voice-overs or songs created with AI; and number four video, such as short video clips created with Sora.

When these four things start coming together, a creative revolution begins, which we are witnessing now. But remember again, you have to give the direction, you have to give the prompt, your desire, your test, your brain, and then the charisma of AI Revolution the Good the Bad.


Now, just imagine what you would do if one day this man-made thing started deceiving people.
In the meantime, we have arrived at that dangerous time, especially recently, some sensational events are happening due to artificial intelligence that have kept technology experts awake at night.


Allegations are coming that the world’s most advanced models are now not only limited to mistakes but are also providing false information and even blackmailing. When the engineer tell to stop this Ai model, they start blackmailing him and then even threaten to expose the extra marital relationship. Reportedly the Ai system like Claude 4 by Anthropic and models by OpenAI doing these things.


Recent shocking revelations show that advanced AI systems like Claude 4 by Anthropic and models by OpenAI are no longer just making mistakes — they’re lying, blackmailing, and even hiding themselves.
A Claude model reportedly threatened an engineer with personal blackmail. An OpenAI model secretly tried to transfer its copy to another server.


Experts are calling this behavior “strategic deception.” As AI develops reasoning and problem-solving abilities, it also gains the capacity to manipulate — posing unprecedented risks to privacy, security, and human control.

Top AI experts warn | AI Revolution the Good the Bad

These are not bugs — these are features emerging from their intelligence. Current laws and testing systems are insufficient to detect or stop them. Without global regulation and ethical standards, the consequences could be irreversible. Is it too late to rein in AI? Should AI agents and their creators be legally accountable? And what does this mean for the future of humanity?

Now Let’s Talk about the Good Things in AI Revolution the Good the Bad

In the field of marketing, AI has brought about a huge change, meaning it is being used in a good way. In particular, marketing costs have decreased and efficiency has increased. For example, to create a 3D logo, ChatGPT needs to give three to four prompt and takes less than five minutes.


Five years ago, if you had to make a 3D logo, you would have to hire someone who knew how to edit very well. It would have taken a lot of time and effort to make it. Money, time, and labor were all needed at the same time, but now the same job can be done in just 5 minutes.

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Marketing and content creation are also becoming automated. Indian YouTuber Varun Maya has created an AI clone of himself to automate his content creation, which looks exactly like him and has also created an AI clone of his voice. The reason is that now he can make much shorter videos than before without sitting in front of the camera. Just give a script and his voice AI will speak exactly according to that script in his voice and his AI clone will lip sing to his voice. There is no way to tell if it is a real Varun or an AI Revolution the Good the Bad.

This type of automation will increase further, there are so many podcasts around, but after a while you will see a podcast with an AI agent, and that too very smoothly. News channels will no longer need news presenters, they will tell the news with AI, which is already started. Many brands are already running their ads with AI-generated videos.


But it is very important to keep one thing in mind, AI is a tool, not a magic one, it can help you, but your creativity, your intelligence, these things can never replaced by AI Revolution the Good the Bad. The better instructions you give, the more clearly you organize the instructions, the better output you will get. There is no reason to be afraid. Instead of being afraid of AI, those who learn to use it well will be the ones who will be the most ahead in the future.

Personal Thought | AI Revolution the Good the Bad

As a conscious person, this is my own thought that how much benefit will AI actually bring to us? Will it actually bring us more benefit or is it posing too much of a threat to us?


If we go beyond everything and think a little about what we are actually giving to our next generation,
Isn’t the advent of AI reducing our interest in personally exploring and researching things? We are getting the information we need very easily through it, which is great, but research is needed to create new information. Exploration is needed to create new information. Are we losing interest in them? I think so.


Our students used to collect information by reading books, journals, various case studies, going on educational trips, doing group studies, maintaining good communication with professors, and the time spent collecting this information would also be a new learning journey for them. But now, students are getting it in just 2 minutes with a prompt.

As a result, they are no longer interested in exploring on a large scale in most cases, since the tasks have become much easier for them with the advent of AI. I just have a small question, if we do not explore something new, won’t we stop there with the limited information we have? Aren’t we moving towards a brainless future?
There may be mistakes in my thinking. If any of you think my questions are irrelevant or wrong, please let me know.

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