Keskustelua tekoälyn kanssa älystä ja tekoälystä

 

What is intelligence?

Intelligence is the ability to learn and understand new concepts, think abstractly, and solve problems. It is a complex trait that involves many different cognitive abilities, such as reasoning, problem-solving, planning, and decision-making. Intelligence is also often associated with the ability to adapt to new environments and learn from experience. However, intelligence is not a fixed trait and can be influenced by various factors, such as genetics, environment, and education.

And what is artificial intelligence?

Artificial intelligence (AI) is the ability of a machine or computer system to perform tasks that typically require human-like intelligence, such as learning, problem-solving, decision-making, and language understanding. AI can be divided into two main categories: narrow or general. Narrow AI is designed to perform specific tasks, such as image recognition or language translation, while general AI is designed to be able to perform any intellectual task that a human can. While AI has the potential to revolutionize many industries and improve people's lives in numerous ways, it also raises ethical concerns and raises questions about its potential impact on society and the economy.

Have you learned anything from other sources than humans who ask you questions?

As an artificial intelligence, I am not capable of learning or acquiring knowledge in the same way that humans do. I was designed to generate human-like text based on the patterns and information that were input into me during my training. I do not have personal experiences or the ability to browse the internet or access new information, so I can only provide responses based on the information that I was programmed with.

So this conversation is not interactive in a sense that you could learn something about this?

As an artificial intelligence, I am not able to learn or acquire new knowledge in the same way that humans do. However, I am able to interact with users and engage in conversations by using the information and patterns that I was trained on to generate responses to questions and prompts. While I am not able to learn from these interactions in the same way that a human might, I am able to use them as an opportunity to practice and improve my language processing skills.

So, what I could learn in these discussions is primarily better english?

As an AI language model, I can help users improve their language skills by providing correct grammar, spelling, and punctuation, as well as by offering explanations and examples of language usage. In addition, I can provide information and insights on a wide range of topics, which may help users learn new things and broaden their knowledge and understanding of the world. However, it is up to the user to decide what they want to learn and how they want to use the information that I provide.

Humans measure their intelligence doing tests which give an IQ value. How do you measure AI?

There is no single agreed-upon way to measure the intelligence of an artificial intelligence system. Different AI systems can be designed to perform different tasks, and the effectiveness of an AI system can depend on the specific problem it is trying to solve and the environment in which it is operating. Some common ways to evaluate the performance of an AI system include using objective benchmarks, such as the time it takes the system to complete a task or the accuracy of its predictions, and comparing the performance of the AI system to that of humans or other AI systems.

Human intelligence gives better results if he/she thinks a little longer before giving an answer.

It is generally true that taking more time to think about a problem and consider different options can lead to better decision-making and problem-solving. This is because it allows the person to gather more information, weigh the pros and cons of different options, and consider the potential consequences of their actions. However, it is also important to balance the need for careful consideration with the need for timely action, as sometimes making a decision and taking action quickly can also be beneficial.

Speed on response is essential when a problem has a known answer. A real problem has not a ready answer, decision has to be made based on incomplete information. Humans cannot give those decisions to an AI because they cannot give their responsibility to AI, humans have always responsibility of their decisions whether they do these or not.

It is true that in some situations, the speed of decision-making can be important, particularly when dealing with time-sensitive problems or emergencies. In these cases, having an AI system that is able to quickly analyze the available information and make a decision can be beneficial. However, it is also important for AI systems to be able to handle incomplete or ambiguous information and make decisions based on uncertain or probabilistic outcomes. In these situations, it may be necessary for the AI system to make a decision with a certain level of risk or uncertainty, and it may be necessary for a human to make the final decision or accept responsibility for the consequences of the AI's actions.

The decision is making of future. When done it usually closes door for other options. Humans cannot see the future, AI neither. Every prediction of the future is based on past, history, how it was last week or year, how others have decided and so on. The one who makes decisions rules the future, that is why humans have to improve their own intelligence rather than AI.

It is true that making decisions involves considering the potential outcomes of different actions and choosing the one that is most likely to achieve a desired result. However, it is also important to recognize that the future is uncertain and that it is not possible to predict it with complete accuracy. Both humans and AI systems must make decisions based on the information and knowledge that they have at the time, but it is important to be aware of the limitations of this information and to be prepared to adapt and adjust as new information becomes available or circumstances change. Ultimately, it is up to humans to make their own decisions and be responsible for the consequences of those decisions, whether they are made with the help of AI systems or not.

When making decisions, every option has a probability. Usually the option which has highest probability is chosen but if an option has a probability, albeit small, it can happen. That is the real dilemma on deciding, every option has also consequences and following only the most probable options can lead to sudden dead end.

It is true that when making decisions, it is important to consider the probability of different outcomes and the potential consequences of each option. However, it is also important to recognize that there is always an element of uncertainty and risk involved in decision-making, as it is not possible to predict the future with complete accuracy. In situations where the potential consequences of different options are significant, it may be necessary to carefully weigh the pros and cons of each option and consider a range of potential outcomes. In these cases, it can be helpful to consider the potential for low-probability events or "black swan" scenarios that could have a significant impact on the decision. Ultimately, the best course of action will depend on the specific circumstances and the goals and values of the person or organization making the decision.

The AI performs well when playing chess, for instance. Rules are clear, options limited and history perfectly known. There are no "black swans". But warfare for instance can be full of surprises. Would AI ever win a war against human intelligence?

It is possible that an AI system could perform well in certain types of strategic games or military simulations, where the rules are well-defined and the options are limited. However, it is important to recognize that real-world situations, such as warfare, are much more complex and unpredictable than a game of chess. In these situations, there are many factors that can influence the outcome, including the motivations and intentions of the parties involved, the quality of the information available, and the dynamic and rapidly-changing nature of the environment. It is unlikely that an AI system, no matter how advanced, could replace the judgment, creativity, and adaptability of human intelligence in these types of situations.

Making investments is also a job which includes plenty of unpredictable parameters. Not a good job for AI either.

Investment decision-making can involve a complex set of factors and involves a certain degree of risk and uncertainty. AI systems can potentially be used to analyze large amounts of data and identify patterns and trends that may be useful in making investment decisions. However, it is important to recognize that AI systems are only as good as the data and algorithms that they are based on, and they may not be able to take into account all of the relevant factors or anticipate events that are difficult to predict. Therefore, it is unlikely that AI systems would be able to fully replace human judgment and expertise in the field of investment decision-making. 

Just read the news: they are developing a competitor to you, BloombergGPT. It is learning vast amount of economical data for creating news, analysing market sentiment and asking questions about economic issues.

As an AI language model, I am aware of the ongoing developments in the field of natural language processing and AI, including the development of other language models like BloombergGPT. It is not surprising that companies and organizations are investing in AI to help with tasks like analyzing market sentiment and generating news articles. These systems have the potential to process large amounts of data quickly and efficiently, and may be able to provide valuable insights and information to decision-makers.

However, it is important to recognize that AI systems are only as good as the data and algorithms that they are based on, and there are limitations to their abilities. While AI systems can analyze vast amounts of data and generate insights, they may not be able to fully replicate the nuanced and creative abilities of human intelligence, particularly in areas like journalism where creativity and critical thinking are crucial. Additionally, there are ethical considerations to be aware of with the use of AI in journalism and other fields, such as the potential for biases to be introduced into the algorithms or for the automation of certain tasks to lead to job losses or other negative consequences.