The use of artificial intelligence, or AI, in our day-to-day lives is on the rise. Artificial intelligence is used in everything from answering questions to writing emails, listening to music, and finding information online. Our computer gives us information immediately through an algorithm based on this. This makes our work easy, but are we becoming overly dependent on it? Is it weakening our thinking ability? Is our self-confidence also decreasing? We will try to know whether Artificial Intelligence is destroying our critical thinking ability. The use of artificial intelligence, or AI, in our day-to-day lives is on the rise. Artificial Intelligence is being utilized in all of these activities, including writing an email, humming a song, and searching the internet for an answer to a question.
Our computer gives us information immediately through an algorithm based on this. This makes our work easy, but are we becoming more dependent on it, and have we started using less of our ability to sleep or the ability to think deeply on a subject, and is one of our abilities getting weaker? Is our confidence also getting sour? Many studies show that this is having a bad effect on our critical thinking. In a study by Mittal Media Lab, some people were asked to write an essay. Some of them used AI for this, while some people did not. It was seen in this that those who used AI to write essays became lazier while writing the next essay. We will try to know whether Artificial Intelligence is destroying our thinking power.
What is Critical Thinking?
Critical thinking means to decide by evaluating all aspects of a subject in an unbiased manner, i.e., to consider all aspects of a subject instead of accepting anything blindly. We use this ability to solve problems. The first expert, Dr. Daniel Willangam, is a professor of psychology at Virginia University in America. He says that we often decide something not based on critical thinking but based on our memory. Critical thinking is its own. Often, we depend on our previous experiences or memory of a problem to find a solution, but sometimes we face a problem that has come before us for the first time, i.e., we cannot solve it based on our memory. In such a situation, our critical thinking comes to the fore. Memory is important, and many times we have successfully solved the problem with its help. However, many times the problem is not solved easily even with critical thinking. When we solve a problem, it gets recorded in our memory,y and we do not face the same challenge the next time. We solve problems based on our past experiences. Critical thinking resides in the front part of the brain called the prefrontal cortex, while our memory is stored in another place, which we call the hippocampus. Too much work leads to the accumulation of toxins in the prefrontal cortex, which makes us feel tired. Without really wanting to do full work on that, and this is why we would rather do it. It is because of this tiredness that we prefer to rely on our memory instead of critical thinking. This makes work easier, but we are deprived of learning new ways to solve problems. Solving problems in the same way also leads to the fact that we stop putting too much pressure on our brains. Critical thinking does put pressure on the brain, but it also becomes sharper and more capable. Critical thinking is good for the brain. Good for the brain in two ways. Critical thinking has two benefits. One is that it teaches us to face problems, and the brain becomes sharper. The second big advantage is that as our brain’s abilities start to weaken, critical thinking helps to keep the brain healthy and sharp in old age, and the question is how critical thinking comes into the mind and what exactly it is, which is why we have to look into it with our hands.
Artificial Intelligence – The second expert, Michael Garlick, is a professor of management at DBS Business School in Switzerland. We wanted to know from him how Artificial Intelligence, or AI, is defined. Consists of two terms. One of them is Artificial Intelligence. Think it’s easy to understand. Its definition has two parts – Artificial and Intelligence. It is operated by a machine. It imitates the human brain in its work. Just like we train children, AI is also trained in the same way. It acquires the ability to reason and understand like humans. That is, the machine makes a decision by analyzing the information available to it and helps us in many tasks. It even makes decisions for us. Artificial Intelligence collects many types of information or data, and it gives us answers by assessing the same. Earlier computers had limited information, and all computers used to give the same answer to a question. Artificial Intelligence is different in this case, and it keeps collecting new data for the same question based on different contexts and situations. It is also called a big language model. It does this by inferring, analyzing words, and predicting word power. By assessing each word, it guesses what you want to know, but it is not able to understand the context well. The big language model does not understand history. It has a lot of information about history, and by assessing the words, it tries to understand what you want to know and answers accordingly. Generative Intelligence has started understanding the intricacies of information and questions. Now it is being used in our search engine, smartphones, and platforms like WhatsApp. Based on language and data, it guesses what the right answer to a question is. Sometimes it also becomes wrong. Generative Intelligence sometimes also gives us flattering answers; that is, it wants to guess what you want to hear and presents the answer accordingly. Dr. Michael says that it was created to give us relief, so the way we ask a question, it guesses whether we want to hear a positive answer or a negative one, and then answers accordingly. It does help us, but by increasing dependence on it, we lose our discretion, and we start using our understanding less. Chennai Eye can help you with attitude activities that give you generative eye. It saves our time and effort by doing many tasks fast, but at the same time, it takes us away from thinking on our own. In a way, it starts doing our work of sleeping on its own, and also starts making decisions for us. I found in a study that with increasing dependency on the eye, our critical thinking starts decreasing, but can there be such a way of using the eye that helps us but does not reduce our critical thinking
Professor Our third expert, Yuvanshu, is the head and founder of a digital platform based in Singapore called Noodle Factory. This platform, which is based on AI, is used in education and training. It is named Noodle Factory because its founder believes that its use is as easy as making noodles. But how does this platform help people in training? Faced or selves, this platform solves those problems that we all face. It is our clone. In many schools or colleges, if students do not understand something, they have to ask questions again, but with this platform, you can ask the answer of question many times. Many international students are being taught in a foreign language and have difficulty understanding the subject. This platform can teach students in their mother tongue. A large language model is used to make such an educational platform. All the data of a course is included in this platform. Students can use it according to their convenience. In a class, the number of students is more than 20-30. In such a large class, some students have to ask for clarification or questions, but on this platform, they can learn a lot. We can easily answer this question. This also helps teachers because they can focus on other aspects of a subject in their course. An assistant is never a replacement. This platform works as an assistant to teachers, but artificial intelligence cannot replace teachers. Its role is limited and it does less important work than teachers. For example, it can answer the frequently asked questions of students. It can save the time of teachers by helping them in grading or questions papers. Digital platforms based on artificial intelligence prove to be helpful in reading and writing, there is no doubt about it, but due to dependence on them, the students’ brain starts working slowly. In such a case, students use AI to complete the work given by teachers. For example, they write essays with the help of AI, but for this, they have to enter a lot of data into the digital platform, about which they have to think; that is, their critical thinking is used. We cannot ignore AI, but now teachers have to study, keeping in mind the use of AI, and come up with new ways to keep students engaged. Methods must be adopted
Artificial Intelligence is destroying our thinking power.
Use of the brain. The fourth expert, Sun Karim Khan, is a professor of Practice in AI at King’s College London. She says that, along with the use of AI, we should also know how much AI believes in its suggestion. For example, when AI understands something and encourages us to do something, we should also know how much AI believes in its suggestion. For example, if AI does not have full faith in its suggestion, it should tell us that we should also check this information from other sources, and if it is a matter of buying something, it should also tell us about other options. But can it reduce our critical thinking? Balance between over-relying. We should keep our dependence on AI low.
We should not think that AI will do all our work. It is important to keep a balance between its use and the use of our brains. We should not believe everything it says because it will reduce our productivity; that is, we should use it in a balanced manner, but at the same time, to keep transparency in this technology, control over it is also necessary. Artificial Intelligence is destroying our thinking power. Artificial Intelligence is rapidly becoming a part of our daily lives. And gradually, we are becoming dependent on it for work. Our productivity is increasing with artificial intelligence, and it is very helpful in teaching and learning, but as it is developing and our dependence on it is increasing, we have reduced the use of our brains to solve problems. This can slow down our brains. We have also seen that we cannot always trust the answer of AI, so we should conclude only after careful thinking. AI will be able to destroy our critical thinking only when we allow it to do so. Therefore, along with the use of AI, the use of other intelligence is also necessary.
How much water is being used to keep AI data centers cool
The application of artificial intelligence (AI) is rapidly expanding. In order for this technology to function, a significant amount of electricity is required, and data centers are frequently cooled with water. Half of the world’s population is already experiencing water shortages, according to the United Nations. This crisis may get worse in the future as a result of rising water demand and climate change.
15th part of a teaspoon of water Sam Altman, the chief executive officer of Open Eye, says that it takes about this much water to answer a question posed to Chat Secret so if you type can you help me to solve this math problem then one drop is spent instead of lemon in this recipe even one drop the old man claims that Chat Secret gets about one question every day and Chat Secret is not just one there are gemini deep from plot and many others too so one thing is clear that the thirst for the AI revolution is big however it is surprising that some experts are a bit skeptical about the claims of the AI and mother on the use of water and trust the number their number was perhaps preferring to some tiny model medium or ask some questions if you have 10 to 50 crores you can be consuming details the company denied it but what is clear is that AI uses a lot of water but why every time you ask an AI something When you send a prompt, it performs a complex calculation to understand your question and answer it. This work is done by the world’s most powerful and specialized computer chips located in huge data centers. They have already started working before the user sends a prompt, and all that extra power means that hardware can overheat and get damaged if it is not cooled properly. Most data centers use air cooling systems, which, by the time I came in, were going to be so much more energy-intensive. Liquid cooling approaches were no big deal. Clean water is a must for cooling to avoid bacteria, blockage, and corrosion in your system. That is, drinking water is mostly used. The most common liquid cooling process works like this. The process begins with the flow of coolant over the processing chips inside the server. This cooling liquid absorbs heat from the chips and carries it away from the electronic parts to a heat exchange unit. Water is then used to reduce the temperature of the coolant. The cooled water is then returned to the cooling tower to cool the servers. Meanwhile, the now heated water reaches the cooling tower, where the heat is removed by a combination of fans and heaters, which cools the water. In this process, some part of the water evaporates, while the rest of the water is reused for this cooling process many times, and then finally it is released into a nearby water source. Overall, about 80% of the water evaporates in this process. Extracting water from a water supply is necessary for irrigation for human consumption, and hygiene. Data centers are putting pressure on water sources and electric grids. There have been protests against this in some parts of Spain, India, Chile, and the US. Water is not only needed for the work inside the data center, it also takes a lot of water to generate electricity to run them.
The International Energy Agency has said that by the year 2030, there could be a 300 terawatt jump in the demand for electricity in data centers running on IP, which is It will increase by 400%. This is the same amount of electricity consumed by the UK in a whole year. Apart from electricity, water is also needed to make the semiconductor chips that run the internet and the creation chain of technology. It is used for the definition of the critical raw materials that are needed to create hardware. It is difficult to know how much water is required to make and run the internet system. Google, Meta, and Microsoft have released their annual data, which also tells how many billion liters of water they have used from local sources, but these figures do not tell how much has been used for the internet. Most of the mobile joints understand the impact of this. Google Metro and Microsoft have pledged that by 2030, they will become water neutral. Work is going on to move the data center away and build it completely under the sea. Architecture or looking outside in space, so we can launch satellites that can perform at least some more backup-oriented and other-oriented tasks, and there are hopes about a sustainable future. how it moves exponentially fast, but as an industry, and as it is new, and it is still young, Idly we can learn together as a society how they minimize against the use of water and energy the these is which you know the world’s resources.