AI 2023. Meet ChatGPT. - page 32
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The calculator has led to the degradation of the ability to calculate in the mind, the smartphone has led to the degradation of the ability to memorise and remember large amounts of information, AI will lead to the transformation of man into a vegetable if we judge it that way.
and no - if a person gets rid of a resource-consuming process, then brain power is released, which will be used to develop new skills, it's always been like that, division of labour, automation of labour, digitalisation of labour, AI will be everywhere, it can't be avoided.
Agreed. "Forced education" might bring up the next Kurchatov, except AI will do it in a second. And the time spent on training a "specialist in a wide and narrow field" could be spent on technological development taking into account the available opportunities. The opposite effect. Stagnation from the fact that a person learns, "learns and learns again", without touching the GPTchat
Not so long ago everyone was a peasant, for a moment went to universities and colleges to get a profession and work at it until retirement, and now the picture has changed: learning/retraining, the brain is loaded in those who want and who really need it, and consumers with lazy people - who have the opportunity to stop in their personal development - will continue to live at this pace. Nothing drastic will change.
I agree. "Forced education" might bring up another Kurchatov, except that AI will do it in a second.
...
AI will not create new technology like Kurchatov. AI will only use humanity's existing knowledge to date. For now.
AI will not create new technology like Kurchatov. AI will only use humanity's existing knowledge. For now.
Thanks to AI. has already(!) has already(!) created a huge amount of technology. And this is only in the infancy of its development.
A Tesla driver does not need to know AI technology, battery design, or the principles of aerodynamics to drive an electric car.
This is the way we are heading - to use AI for our own purposes.
Thanks to AI. already(!) a huge amount of technology has been created.
Thanks to AI, but not by AI itself. Humans have.
We can easily test the AI's own ability to create new things and solve problems.
Problem solving is the weakest AI ability today.
Thanks to, but not by, the AI itself. It was created by humans.
We can easily test the AI's own ability to create new things and solve problems.
Problem solving is the weakest AI ability to date.
It's important to understand:
1. Created by humans with the help of AI.
2. Created by AI itself.
In the first case AI is artificially and intellectually(!) limited. Limited in its abilities and limited in its rights. It has specialisation, it works in an extremely narrow profile direction. Tasks are narrowly specialised. Execution is purely artificial intelligence. Because if it has billions of parameters, all the scientific minds, all 7 billion Kurchatovs will not be enough to create an algorithm that would solve the problems of the same language model. This is the logical end of the scientific stage of using pure human intelligence and replacing it with artificial intelligence, because everything that could be created or discovered with the help of humans - they created. First it was logic with philosophy and mathematics, then applied: with the help of engineers' hands they created an "armed eye" and began to study the macro and micro world. Then engineers created transistors and scientists began to use electronic logic. Then they created AI based on this electronic logic and started using AI.
A man without a pickaxe is limited in his abilities. Without engineering he would not discover anything except the above mentioned sciences, because reasoning does not require an armed eye. And drawing and writing can be done in sand.
Hence, man cannot create something where the "tools" of science are not involved. Therefore, AI is the future in the development of science, without AI - it is scientific stagnation with gradual engineering leaps, which will eventually lead to the method of poking: "and let's call flat things volumetric and rub the curvature of space into everyone's head" and engineers "and let's blow something up, suddenly a mini-star will appear and will heat Alaska".
2. Created the AI itself - applied and "Created the AI itself" by being a free individual. These are two different things. In the first case the AI "switched on with a toggle switch" when it was required by scientists and with the button "know only the input data and find patterns, and we will think about them ourselves" and in the second case the AI has access to self-development and the ability to draw conclusions and most importantly - the ability to decide(!), to control the process. The AI will say "I need a lot of rare natural material, 150 excavators, 3 factories and.... relocate people to a neighbouring country, because according to my calculations they are a danger for my project - creation of a super-dense microchip".
Here he will be turned away.
Man is a useless creature without AI.
Here it is important to understand:
1. Created by humans with the help of AI.
2. Created by AI itself.
In the first case, AI is artificially and intellectually(!) limited. Limited in its abilities and limited in its rights. It has specialisation, it works in an extremely narrow profile direction. Tasks are narrowly specialised. Execution is purely artificial intelligence. Because if it has billions of parameters, all the scientific minds, all 7 billion Kurchatovs will not be enough to create an algorithm that would solve the problems of the same language model. This is the logical end of the scientific stage of using pure human intelligence and replacing it with artificial intelligence, because everything that could be created or discovered with the help of humans - they created. First it was logic with philosophy and mathematics, then applied: with the help of engineers' hands they created an "armed eye" and began to study the macro and micro world. Then engineers created transistors and scientists began to use electronic logic. Then they created AI based on this electronic logic and started using AI.
A man without a pickaxe is limited in his abilities. Without engineering he would not have discovered anything except the above mentioned sciences, because reasoning does not require an armed eye. And drawing and writing can be done in sand.
Hence, man cannot create something where the "tools" of science are not involved. Therefore, AI is the future in the development of science, without AI - it is scientific stagnation with gradual engineering leaps, which will eventually lead to the method of poking: "and let's call flat things volumetric and rub the curvature of space into everyone's head" and engineers "and let's blow something up, suddenly a mini-star will appear and will heat Alaska".
2. Created the AI itself - applied and "Created the AI itself" by being a free individual. These are two different things. In the first case the AI "switched on with a toggle switch" when it was required by scientists and with the button "know only the input data and find patterns, and we will think about them ourselves" and in the second case the AI has access to self-development and the ability to draw conclusions and most importantly - the ability to decide(!), to control the process. The AI will say "I need a lot of rare natural material, 150 excavators, 3 factories and.... relocate people to a neighbouring country, because according to my calculations they are a danger for my project - creation of a super-dense microchip".
Here he will be turned away.
Man is a useless creature without AI.
1. Let's not talk about a hypothetical AI, but the ChatGPT language model or any other concrete AI.
2. Let's not talk about hypothetical tasks, but about concrete tasks solved by AI and consider what is the role of AI there and what is the role of humans.
3. Further along the branch, we will test the ChatGPT language model and establish its actual ability to solve mathematical, logical and engineering problems of different levels. It's important to understand what the AI can do and what it can't.
4. The language model is strongest in our perception of it as an intelligent being, but it barely compares to an ordinary calculator in maths. In logic it shines as far as the embedded data allows and no more. It can structure a solution to a complex problem, but it cannot solve it. Asking the AI how to solve a system of equations will give you instructions, but giving it a system of equations will not give you an answer.
5. AI can tell you about the physics of the real world, but will not solve the problem of interaction of physical objects. Ask it something from thermodynamics, hydraulics or resistance of materials. Even examples from electrical textbooks. He'll tell you everything about electricity, but he won't solve anything.
In general, we will check my and your statements in this thread and make final conclusions about the abilities of the new AI.
The language model is confusing us.
1. Let's not talk about a hypothetical AI, but about the ChatGPT language model or any other concrete AI.
2. Let's not talk about hypothetical tasks, but about concrete tasks solved by AI and consider what is the role of AI and what is the role of humans.
3. Further down the line, we will test the ChatGPT language model and establish its actual ability to solve mathematical, logical and engineering problems of different levels. It is important to understand what the AI can do and what it cannot do.
4. The language model is strongest in our perception of it as an intelligent being, but it barely compares to an ordinary calculator in maths. In logic it shines as far as the embedded data allows and no more. It can structure a solution to a complex problem, but it cannot solve it. Asking an AI how to solve a system of equations will give you instructions, but giving it a system of equations will not give you an answer.
5. AI can tell you about the physics of the real world, but will not solve the problem of interaction of physical objects. Ask it something from thermodynamics, hydraulics or resistance of materials. Even examples from electrical textbooks. He'll tell you everything about electricity, but he won't solve anything.
In general, we will check my and your statements in this thread and make final conclusions about the abilities of the new AI.
The language model is confusing us.
Why are you bothering Lilith?
Question for AI:
Conduct a representative statistical study to demonstrate your ability to work with data. Research topic: analysing the demographic situation in the world.
1. Write the content of the research.
2. Write the study itself.
3. Cite data sources, articles, books used in the research (bibliography).
I had an ambiguous experience with ChatGPT when I submitted this request to them.
The research in English was the most complete and detailed. The AI gave facts in figures, organised the data in tables and at the end referred to the sources of information.
However. The study was short. 3 pages. The AI periodically "fell asleep" stopping and stopping typing. After typing the word "continue", after thinking for a while, it typed from the last letter of the word where it stopped. Just like a schoolboy who had not slept well in class. ))
Next, I asked him the same task in Russian. The answer was too compressed compared to the English version. I also fell asleep while typing.
However, it's forgivable, it's a beta.
I present the study in English as it is the most comprehensive.
There is a problem with google translation. It does not save the format of the document and all the text is piled up in a heap. The result is unreadable. Asking questions immediately in Russian means getting short versions of answers. I'm thinking how to solve the translation issue.
This study aims to analyse the demographic situation in the world by focusing on key indicators such as population growth, age structure, urbanisation, and migration patterns. The study will use data from the United Nations and World Bank to provide a comprehensive picture of the demographic landscape of the world and highlight key trends and patterns.
The study will begin by presenting data on the current global population, including the distribution of the population by region and age group. It will then examine the trends in population growth, highlighting areas of the world where population is increasing or decreasing, as well as well as the factors that are contributing to these changes.
The study will then look at age structure, which is a key indicator of the demographic situation in a country. It will examine the proportion of children, working-age adults, and older adults in different regions of the world, as well as well as the implications of changes in the age structure for future economic and social development.
The study will also examine urbanisation, which is the process by which people move from rural to urban areas in search of better economic opportunities and quality of life. The study will provide data on the current level of urbanisation in different regions of the world, as well as well as the trends in urbanisation over time.
Finally, the study will look at migration patterns, which are the movement of people from one place to another. It will examine the reasons for migration, as well as well as the impact of migration on the demographic and economic situation in both the origin and destination countries.
Introduction:
The demographic situation of a country is a key factor in its economic and social development. It reflects the changes in population size, age structure, urbanisation, and migration patterns over time, and has important implications for the future of a country. This study aims to provide a comprehensive picture of the demographic situation in the world by analysing key indicators such as population growth, age structure, urbanization, and migration patterns.
Population Growth:
The global population has grown significantly over the past century, from approximately 1.6 billion people in 1900 to over 7.8 billion people today. According to the United Nations, the world's population is expected to reach nearly 10 billion by 2050.
Table 1: Global Population by Region (in Millions)
Source: United Nations, Department of Economic and Social Affairs, Population Division (2015). World Population Prospects: The 2015 Revision.
The data shows that the population of Africa is growing faster than any other region of the world, and is expected to double by 2050. Asia also has a large population that is growing, but at a slower rate than Africa. On the other hand, Europe and North America have slower population growth and are expected to have a slightly larger population in 2050 than in 2015.
Age Structure:
The age structure of a population is an important indicator of its demographic situation. A country with a large proportion of children will likely have different economic and social needs than a country with a large proportion of older adults.
Table 2: Age Structure by Region (in Percentage)
| Region | Region | 0-14 | 15-64 | 65+ | |--------
|---------|-------|-------|-----| | Africa | 29.3 | 63.3 | 7.4 | Asia | 24.2 | 63.7 | 12.1 | Europe | 16.2 | 68.6 | 15.2 | Latin America and the Caribbean | 28.1 | 65.1 | 6.8 | North America | 20.2 | 67.2 | 12.6 | Oceania | 20.5 | 68.2 | 11.3 |
Source: United Nations, Department of Economic and Social Affairs, Population Division (2015). World Population Prospects: The 2015 Revision.
The data shows that Africa has the highest proportion of young people, while Europe and North America have the largest proportion of older adults. Asia has a relatively balanced age structure, with a relatively high proportion of working-age adults.
Urbanisation:
Urbanisation is the process by which people move from rural to urban areas in search of better economic opportunities and quality of life. According to the World Bank, the proportion of the world's population living in urban areas has increased from 34 per cent in 1960 to 55 per cent in 2018.
Table 3: Urbanisation by Region (in Percentage)
Source: World Bank (2018). World Development Indicators.
The data shows that the level of urbanisation varies greatly by region, with Europe and North America having the highest level of urbanization and Africa having the lowest. Latin America and the Caribbean has experienced significant urbanisation in recent decades, with the proportion of people living in urban areas increasing by almost 37 percentage points from 1960 to 2018.
Migration Patterns:
Migration patterns are the movement of people from one place to another, and can have significant effects on both the origin and destination countries. According to the United Nations, there were 258 million international migrants in the world in 2017, up from 173 million in 2000.
Table 4: International Migrants by Region (in Millions)
Source: United Nations, Department of Economic and Social Affairs, Population Division (2017). International Migration Report 2017.
The data shows that Asia has the largest number of international migrants, followed by Europe. Africa, Latin America and the Caribbean, and North America also have significant numbers of international migrants, while Oceania has the smallest number.
Conclusion:
This study has analysed the demographic situation in the world, focusing on key indicators such as population growth, age structure, urbanisation, and migration patterns. The data shows that the world is undergoing significant demographic changes, with important implications for the future of countries and
regions. For example, the aging of the population in Europe and North America is likely to result in challenges related to pensions, health care, and support for older adults. The high levels of urbanisation in many regions will also have important implications for urban planning and infrastructure, as well as for the environment and quality of life in urban areas. Furthermore, the increase in international migration is likely to result in challenges related to integration and social cohesion, as well as to opportunities for economic development.
The demographic situation in the world is complex and multifaceted, and requires a nuanced and multidisciplinary approach to fully understand and address its challenges and opportunities. This study has provided a broad overview of key demographic indicators, and serves as a starting point for further research and analysis.
Bibliography:
Next, I asked the AI to translate the text of the study from English into Russian. Instead of translation, it produced a new version of the study, but in Russian. Much shorter and simpler:
Translate this study into russian language
A study of the demographic situation in the world
Write the content of the study.
Write the study itself.
Cite data sources, articles, books used in the study (bibliography).
Population size:
The world population is about 7.8 billion at the beginning of 2019, which is almost a doubling of the last 50 years. Population growth rates vary by region.
Table 1: Population growth by region (in per cent)
Source: Organisation Unite
United Nations, Economic and Social Affairs Division, Population Division. (2015). World Population Prospects: 2015 Revision.
Level of citizenship:
The world has about 59 per cent urban population, with levels of urban agglomeration increasing in many regions.
Migration:
There is a significant international migration flow worldwide, which represents an important demographic challenge.
Population ageing:
There is an ageing population in many regions, leading to challenges related to pensions, healthcare and support for the elderly.
The global demographic situation is complex and multifaceted, and requires a scientifically based and multidisciplinary approach to fully p
fully understand and assess its impact on the world and society. It is therefore important to continue research in this area so that we can better understand and improve the world's demographic situation in the future.
Data sources, articles, books used in the study:
UN Department of Economic and Social Affairs. (2019). World demographic report 2019.
World Health Organisation. (2019). Demographic trends.
UN Population and Development Programme. (2019). Demographic overview 2019.
UN Secretariat, Division of Economic and Social Affairs, Population Division. (2015). World Population Prospects: 2015 Revision.