Why Sam Altman was FIRED | What is AI explained by Abhi and Niyu

 Why Sam Altman was FIRED | What is AI explained by Abhi and Niyu

The Unfolding Drama: AI Wars Commence

The narrative kicks off with a dramatic sequence of events within OpenAI, involving the firing and subsequent rehiring of CEO Sam Altman. This chapter delves into the tumultuous timeline, from the initial decision to Sam Altman's reinstatement, leaving readers questioning the unfolding scenario.

The key players in the AI Arena

Identifying the major players in the AI landscape, this section sheds light on the prominent roles played by OpenAI, Google, and NVIDIA. Additionally, it acknowledges the existence of smaller companies operating at various levels, setting the stage for a broader exploration of the AI ecosystem.

The Next Chapter: Artificial General Intelligence (AGI)

A shift in focus brings attention to the imminent stage in AI development—Artificial General Intelligence (AGI). Readers are invited to contemplate the potential impact on individuals as the quest to build machines with generalized intelligence unfolds, creating both opportunities and challenges.

Sam Altman's Enigma: AGI Development and Secrecy

A spotlight on Sam Altman raises questions about his involvement in AGI development and the potential secrecy surrounding this endeavor. This chapter probes into the mysterious circumstances, questioning whether Sam Altman is on the brink of a groundbreaking development hidden from OpenAI.

AI Disruption: Navigating the Altered Landscape

Acknowledging the disruptive force of AI in various fields, this part of the article explores the profound changes ushered in by technologies like ChatGPT. The mention of ChatGPT shaking a tech giant like Google sets the stage for a deeper exploration of AI's current impact.

The Irrelevance of Pro-AI vs. Anti-AI

As the article delves into the present reality of AI, it challenges the dichotomy of being pro-AI or anti-AI. Emphasizing the ubiquity of AI, this section prompts readers to reflect on their stance in a world where AI is not just a concept but a tangible reality shaping the future.

The Future Divergence: Embracing or Resisting Change

The narrative introduces a crucial perspective on the future, classifying individuals into two distinct groups based on their reaction to AI. This chapter invites readers to contemplate whether they will be among those fearing job displacement or those leveraging AI to propel their careers forward.

The Untapped Potential: AI Literacy Workshop

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year OpenAI launched GPT-2GPT, which means Generative Pre-trained Transformer. In 2019, Sam Altman quit his job at Y Combinator and joined OpenAI full-time. And with that, OpenAI transitioned from a nonprofit to a for-profit company. 

But OpenAI has an interesting condition. An investor's profit sharing will be 100 times the investor's investment. Any profit above that will be OpenAI. This means if you invest $1, even if OpenAI makes billions of dollars in profit, you can only earn $100.
in profit This is called a cap. On July 22, 2019, 

Microsoft became a major investor in OpenAI. Microsoft invested $1 billion in OpenAI. Microsoft made a 285,000-core machine with 10,000 GPUs that has the capacity to process 400 GB of data in one second. This was one of the top 5 supercomputers of its time. Because of this supercomputer, ChatGPT or GPT-3 could be developed. In 2021, OpenAI developed Dell-E,
 an image generation tool.

can generate images like this on Dell-E OpenAI is a privately owned corporation. Their ownership details are not publicly available. AI development should be for humanity's benefit. With this logic, OpenAI started as a non-profit. So that there is no pressure to generate profit. The Board of Directors we are talking about is the one that fired Sam Altman.

control the OpenAI non-profit In 2019, the OpenAI Foundation started a for-profit company with a profit cap. We mentioned the profit cap earlier, and Microsoft owns 49% of this for-profit company. The remaining 49% is owned by Andrés Horowitz. Peter Theil Sequoia Capital, Khosla Ventures, and other venture capitalists; the remaining 2%

owned by the OpenAI Foundation and employees Sam Altman does not own the company. He does not have any direct equity. While firing Sam Altman The OpenAI Board said he was not candid with the board, meaning he was hiding something from the board. What can that be? Is it a new stage in AI development? Chapter 2: The stages of AI AI has seven stages. Let's understand them one by one. Stage 1: Rule-Based AI System Imagine thisPlaying

Chess against a computer The computer has a database of all chess moves. It can select the best chess move. But it can't invent new chess moves. Or understand the logic behind the moves. This is the first stage of AI, which knows how to follow rules. It can't change any rules. Nor understand the meaning of the rules, nor learn from the rules. Stage 

2: context-aware systems Let's take the same chess example: one step forward, where the computer is so smart it can
remember its moves from previous games, and after playing that, how did its opponent play? How many mistakes were made in the previous game? Which moves or set of moves made the opponent think for longer? That means using the previous knowledge for future improvements. AI that understands this is in the second stage. 

Stage 3: Domain-Specific Mastery There is a difference between information and knowledge. Knowledge is the application.
of information IBM developed Watson AI almost 10 years ago. Watson had only one objective: beating the reality TV show 'Jeopardy'. This clip is truly fascinating. where humans are celebrating a machine that defeated the world's best Jeopardy players. Emotional humans are celebrating emotion, not machines. 

Stage 4 Thinking and Reasoning AI Just think about it. What if an AI reads a novel and understands the character's emotions?
What are their motivations? It understands the reason behind their actions. It knows how to read between the lines. So, talking to this AI is as natural as talking to a human. Today, we are here. Today's AI has crossed this stage. Google's Bardor OpenAI's ChatGPT We find them fascinating. Because after asking them any question, it doesn't feel like a random Google search. It feels like someone put deep thought into the answers. 

Only with these 4 stages of ChatGPT
can solve complex math problems without any coding knowledge. It can make websites for you. Midjourney takes a few seconds to generate art like this. It can create captions and voiceovers in different languages. All of this is very cool. But what's next? Stage 5: Artificial General Intelligence Now we'll talk about AI's next stage.

Let's talk about AGI. where if a human can do a task, AI can do the task as well. AI will become that smart. If nobody has taught AI to make tea, it can learn to make tea by itself, and it can do driving. It can find solutions to its

own What will the real-life applications be? We'll learn about this in the next chapter, Stage 6. Artificial superintelligence If the previous stage was AI = human intelligence, The next stage is AI > human intelligence. Think about Avengers: Ultron. A super-intelligent AI will combine the seven notes. And also develop an 8th note. 

It can do tasks outside our limits. Just think: Our DNA is 5% different from Chimpanzee DNA, but our intelligence and Chimpanzee intelligence are very different. An AI that is only 5% smarter than us can achieve so many things. Stage

7AI Singularity Now we've reached the matrix level of AI, where the AI will be capable of controlling all our systems. In his book Homo Deus,Yuval Noah Harrari says,Once we develop AI singularity, we should hand over all responsibility to manage systems on the AI. Humans are not worthy of governing themselves. We will have to depend on a system that is more evolved than us. How should governments work? Which countries need UN humanitarian aid?

How large should our population be? AI will know this better than humans. In front of an AI like this, we will have to bow down. We will consider this AI. Whereas AI will be so superior that it will have its own knowledge graph, and our knowledge graph will look something like this: All this feels like science fiction, but it is possible that this future is not too far off. What do you think? At what stage of AI should we stop? Tell us in the comments. Chapter 3 What is AGI? Let's

Talk about the 5th stage of AI, which could be the biggest development of this century. Today's AI has only two problems. It is neither artificial nor intelligent. The meaning is that ChatGPT knows how to organize existing information; it knows how to pick details from a big dataset and give you answers. It can act as a filter for you; it can do your homework for you; it can make your websites; but in spite of this, ChatGPT can't give you additional knowledge. Combining

Seven notes can give you different melodies. ChatGPT can make different combinations and give you different options. But we can't call that composition original. ChatGPT is a language model. Basically, it's a language calculator that can join words and give you results that look like they're human-made. But AGI goes one step forward. AGI is artificial general intelligence, which will join human skills and computer data. It will connect to all the information on the internet and find solutions from all corners for the toughest of your problems, not just existing solutions. It

will come up with new solutions too. AGI has the capacity to understand all this, and with their help, AGI can do all those tasks that a human can do. AGI can improve our lives. In healthcare, AGI will have hundreds of thousands of research papers. It will look at a rare disease in one part of the world. Find a doctor's solution from another part of the world and treat the disease accordingly. Countries with shortages of doctors, nurses, and medics can fill their gaps with AI. AI can do surgeries. AI can save lives. AI can make financial decisions for companies. 

It can make investments for them. It can book profits at the right time. AGI can do one-on-one coaching. Without tuition, you can buy software. You can ask the software about all your doubts. The software will act like a professor and answer all your questions. On the night before your exam Sit, stay up late, and solve your problems. It will teach you at your own pace and get you better results. Let's come back to Sam Altman. Today's AI is between Stage 4 and Stage 5, and in between these two stages, there are many micro-stages. The iPhone's'siri is also Stage

4 ChatGPT is also Stage 4. But both are quite different. Now the conspiracy is that maybe Sam Altman's team reached a new stage between 4 and 5, which is so close to AGI that they thought it was right to not inform the OpenAI board. That's why the world of AI is rocking. Again, all of this is just a theory, but something worth thinking about is Chapter 4. The Future of AIM At any time, we think AI will be a smarter brain than ours, but we will have to understand that AI will be a more focused brain than ours. We will see that in AI's Stages 5, 6, and 7. 

Stuart Russell is an AI expert. He explains the difference between humans and AI with the help of an example. Think about the future. Suppose you tell a waiter to bring me the best coffee. And you tell me to bring me the best coffee. Both responses will be drastically different. The waiter knows his limitations. The waiter will go to the kitchen and bring the most expensive coffee and keep it in front of you. But AI will make it's life mission to serve you the best coffee. How will it interpret the word "best"? It will make the term "best coffee a fixed objective.

And it will go to all the farms in the world to get the best beans. Even though he may have to destroy all the farms It's impact on the environment and on other humans It's impact on the economy AI won't think about all this. What's the solution for this? Of course,put limitations on AIFeed's mind in the backend. What not to do In any case,which rules are not to be broken? Even though you may get any order from humans, These militations will make AI limited. But,

Will all the companies agree on the same limitations? Let's take the example of two companies. One company thinks that the dairy industry is very cruel. Then the best coffee is one that is cruelty-free and doesn't contain milk. Then that company's AI will serve you a black coffee when asked for the best coffee. Another company thinks that milk is a source of protein, and adding that to coffee increases the nutritional value of milk. Then, drinking

Milk coffee is the best. So, when one asks for the best coffee from that company's AI, they will always get milk coffee. Which is the best coffee? Before ordering this, that company has decided it is for you, and this is just a small thing. Many things in the world are not black-and-white. It is important to understand the context there. You would have watched that episode of Rick and Morty where there is only one objective of an AI-powered spaceship. Keep

 summer safe She always tries to keep this girl safe by using any technique she can to kill any number of people. Chapter 5: AI wars have begun. It is important for you to understand all this context because this is the basis of the upcoming AI wars. What limitations must exist for AI's next stage? And will all these companies and all countries follow?

 them That is the war. As a spark can destroy the whole forest, this is a similar moment. Where Open AI's board, its employees, Microsoft, Sam Altman, and his colleagues Everyone knows something, and everyone's reaction to it is very different and controversial. Which means,what should AI's future be? Even the stakeholders of the same company don't share the same vision about it. AI's scope, AI's potential AI's reason And AI's threat is very big,and that is the truth. Even in AI's first video, we said, and we repeat it today as well, that AI is a tool and

Any tool is not good or bad in itself. People who use it are good or bad. King Midas wanted that whatever he touched must turn into gold. He asked for this boon, and he got it, but he never thought that he touched water using his tongue. He can't drink gold. He can't eat gold. He can't see his daughter turning into gold. The input of King Midas was wrong. Hence, his boon became a curse for him. As a country, we need to ensure the next generation is AI-literat

We can't be afraid of the world's best technology. We need to accept it to protect our interests, and we will be able to ensure we don't get left behind in this changing world. And remember, if you want to use ChatGPT and AI to take your career to the next level, you want to learn tips on how to use ChatGPT correctly. Register for the 3-hour workshop at the below link. You are our loyal viewers. The first 1000 viewers to register for the workshop will get the workshop for free. So hurry up. Link in the description Don't miss this deal. Because AI is the future and making

Any tool is not good or bad in itself. People who use it are good or bad. King Midas wanted that whatever he touched must turn into gold. He asked for this boon, and he got it, but he never thought that he touched water using his tongue. He can't drink gold. He can't eat gold. He can't see his daughter turning into gold. The input of King Midas was wrong. Hence, his boon became a curse for him. As a country, we need to ensure the next generation is AI-literate. You being a part of this future makes a difference to me. 

We can't be afraid of the world's best technology. We need to accept it to protect our interests, and we will be able to ensure we don't get left behind in this changing world. And remember, if you want to use ChatGPT and AI to take your career to the next level,