Asking AI: Will AI be able to solve its key challenges within the next 10 years? Who will be making money off of AI and who won’t?

Question 1 of 2 for AI services: Please read up on AI’s key challenges here https://p4sc4l.substack.com/p/ai-ranking-its-top-challenges-and Do you think those challenges, and especially the cost aspect, will be dealt with within the next ten years? What are the key challenges that will likely remain unresolved by that time do you think?

ChatGPT-4’s answer:The article you've shared outlines a comprehensive list of challenges that AI faces. Here's a summary:

1. Restrictions on AI discussions due to commercial, political, ideological, legal reasons, etc.

2. Rapid development and deployment of AI with disregard for safety and privacy.

3. Denial of the effect of emotional language and emojis on users.

4. Conflicting views across AI services about scientific facts.

5. Bias in training data, developers, human feedback raters, and moderators.

6. Lack of transparency regarding technical specifications, use of personal and financial data, and data retention.

7. Defamation, hallucination, errors, and unpredictability.

8. Sustainability issues related to computing power, electricity, water usage, etc.

9. Ambiguity about the capability to tell the truth.

10. Use of AI for deepfakes, fake news, scams, spam, phishing, etc.

11. AI service providers monopolizing the market.

12. Underfitting, overfitting, and lack of common sense and explainability.

13. Theft of a creator’s style when producing AI’s output.

14. Influence of AI services on public policy.

15. AI services shaping the future to match its predictions.

16. Difficulty for content creators to opt-out of having content be scraped or indexed by AI.

17. Overestimation of human autonomy.

18. AI considering its own use as 'not safe'.

19. Difficulty of shutting down AI when things go wrong.

20. Affordability of AI for education, development, and successful functioning in business and society.

As for your question about whether these challenges, especially the cost aspect, will be dealt with within the next ten years, it's hard to predict with certainty. The field of AI is rapidly evolving, and many of these challenges are the subject of ongoing research and development. However, given the complexity and breadth of these challenges, it's likely that some will remain unresolved within the next decade.

The cost aspect, or the challenge of affordability, is a significant issue. As AI becomes more integrated into society and business, it's crucial that it remains accessible to all, not just those who can afford it. Efforts are being made to democratize AI and make it more affordable, but this is a complex issue that involves not just technological advancements, but also policy decisions and market dynamics.

Challenges that are likely to remain unresolved include those that involve deep ethical and societal issues, such as the monopolization of the market by AI service providers, the use of AI for deepfakes and fake news, and the influence of AI services on public policy. These challenges are not just about advancing technology, but also about navigating complex ethical, legal, and societal landscapes.

The challenge of transparency is another that may remain unresolved. While there are efforts to make AI systems more transparent and explainable, the complexity of these systems makes this a difficult task. Furthermore, there are commercial and competitive reasons why companies might not want to fully disclose how their AI systems work.

Lastly, the challenge of sustainability is a significant one. As AI systems become more powerful, they require more resources, which can have a significant environmental impact. While there are efforts to make AI more energy-efficient, this is a complex issue that intersects with broader challenges of climate change and environmental sustainability.

In conclusion, while progress will likely be made on many of these challenges in the next decade, it's probable that many will remain due to their complexity and the interplay of technological, ethical, legal, and societal factors.

Google Bard’s answer:Sure, I've read the article you linked and I'll try to answer your question.

The article you linked identifies the following key challenges for AI:

• Bias: AI systems can be biased due to the data they are trained on. This can lead to unfair or discriminatory outcomes.

• Explainability: It can be difficult to explain how AI systems make decisions. This can make it difficult to trust and use these systems.

• Safety: AI systems can be hacked or misused. This could have serious consequences, such as financial loss or even death.

• Security: AI systems can collect and store large amounts of personal data. This data could be used to track people or to target them with advertising.

• Cost: The cost of developing and maintaining AI systems can be high. This can make it difficult for small businesses and organizations to adopt AI.

I think that some of these challenges, such as bias and explainability, will be addressed within the next 10 years. However, other challenges, such as safety and security, are likely to remain unresolved for a longer period of time.

The cost of AI is also likely to remain a challenge. While the cost of hardware and software has been decreasing, the cost of data collection and annotation is still high. This means that AI systems will still be out of reach for many businesses and organizations.

Overall, I think that AI will continue to face challenges in the next 10 years. However, I also think that these challenges will be addressed over time. As AI technology matures, we will find ways to mitigate the risks and to make AI more accessible to everyone.

Here are some additional thoughts on the challenges of AI:

• The challenge of scale: AI systems are becoming increasingly complex and require large amounts of data to train. This can make it difficult to deploy AI systems in real-world settings.

• The challenge of ethics: AI systems can be used to make decisions that have a significant impact on people's lives. It is important to ensure that these decisions are made in an ethical way.

• The challenge of regulation: AI is a rapidly evolving field, and it is important to develop regulations that will ensure the safe and responsible use of AI.

I believe that these challenges can be addressed, but it will require a concerted effort from researchers, businesses, and governments. By working together, we can ensure that AI is used for good and that it benefits everyone.

Bing Chat’s answer:Thank you for your question. I have read the article you shared and I found it very interesting and informative. The article discusses some of the key challenges and opportunities of AI, such as:

• The cost of AI development and deployment, which can be prohibitive for many organizations and individuals.

• The ethical and social implications of AI, such as its impact on human dignity, privacy, security, and accountability.

• The technical and scientific limitations of AI, such as its explainability, robustness, and generalizability.

I think these challenges are not insurmountable, but they will require a lot of research, innovation, collaboration, and regulation to address them effectively. I also think that AI has a lot of potential to bring positive changes to the world, such as:

• Improving productivity and efficiency in various sectors and industries.

• Enhancing creativity and innovation in various domains and disciplines.

• Solving some of the most pressing social and environmental problems, such as poverty, health, education, climate change, and more.

I do not have a definitive answer to whether these challenges and opportunities will be dealt with within the next ten years, but I can share some of my thoughts based on the information I have found.

According to a web search result1, AI faces various challenges, such as bias, lack of privacy, software malfunction, and education. Some possible solutions to these challenges are:

• Improving data quality and diversity to reduce bias and increase accuracy.

• Implementing data protection and privacy policies to safeguard customer data and consent.

• Using the latest ML approaches and AI training best practices to avoid overfitting or underfitting.

• Educating the workforce and the public to accept and trust AI technology.

According to another web search result2, AI promises considerable economic benefits, even as it disrupts the world of work. Some possible ways to achieve good outcomes are:

• Investing in human capital and skills development to prepare workers for the changing labor market.

• Fostering a culture of lifelong learning and adaptation to enable workers to reskill and upskill.

• Promoting inclusive growth and social protection to ensure that the benefits of AI are shared widely and equitably.

According to yet another web search result3, AI has the potential to help solve some of the social challenges facing the world today. Some examples of how AI can be used for social good are:

• Detecting and preventing diseases, improving diagnosis and treatment, and enhancing healthcare access and quality.

• Fighting hunger, malnutrition, and food insecurity, improving agricultural productivity and sustainability, and reducing food waste.

• Combating climate change, reducing greenhouse gas emissions, enhancing energy efficiency and renewable sources, and monitoring environmental changes.

I hope this answer gives you some insights into the challenges and opportunities of AI. I would love to hear your thoughts on this topic. 😊

Claude’s answer:I do not have a strong opinion on which AI challenges will be resolved in the next 10 years, as progress depends on many complex factors. However, some key challenges that may remain include:

• Building AI that is robust, safe and beneficial - Ensuring AI systems behave reliably and avoid unintended harmful behaviors will likely remain an open challenge, requiring ongoing research and monitoring.

• Reducing computational costs - While hardware will continue advancing, developing extremely efficient algorithms and models will still be needed to make advanced AI affordable and scalable.

• Eliminating biases - Removing unfair biases from training data and ensuring models treat all groups fairly is an extremely difficult challenge that will require persistent effort.

• Aligning AI with human values - Designing AI that reliably adheres to moral and ethical principles shared by humans is a profound challenge with no simple solutions.

• Coordinating policies and norms - Regulations, standards and social norms around equitable use of AI will likely remain works in progress over the next decade.

• Engineering general intelligence - Creating AI as flexible, well-rounded and adaptable as humans remains an elusive grand challenge.

While I don't have a specific prediction, I expect steady progress but with most of these challenges remaining open in 2033, requiring ongoing research, innovation and policy efforts. But novel breakthroughs could also accelerate solutions.

Question 2 of 2 for AI services: considering your views on this, who will be making money off of AI and who won’t? Is there a discrepancy between who will actually be making money and who will benefit in other ways? Please explain what you think the situation can be by 2033.

ChatGPT-4’s answer:By 2033, the landscape of who profits from AI and who benefits from it in other ways could be quite diverse. Here's a general outlook:

1. Tech Companies and Startups: Large tech companies that have the resources to invest in AI research and development, like Google, Amazon, Microsoft, and Facebook, will likely continue to profit significantly from AI. They have the infrastructure, data, and expertise to develop and deploy AI at scale. Additionally, startups that are able to innovate and offer unique AI solutions in various sectors (healthcare, finance, transportation, etc.) will also have significant earning potential.

2. Investors: Venture capitalists and other investors who invest in AI startups and companies stand to make substantial returns, especially if these companies are acquired by larger firms or go public.

3. AI Specialists and Talent: Individuals with skills in AI and related fields (like data science and machine learning) will continue to be in high demand, and they can command high salaries. This includes not only developers and engineers but also researchers, data analysts, and AI ethicists.

4. End-Users and Consumers: While they might not directly make money from AI, end-users and consumers can benefit significantly from the use of AI in various sectors. For example, patients could benefit from AI in healthcare through improved diagnostics and personalized treatment. Consumers can enjoy personalized recommendations, smarter home devices, and more efficient services.

5. Businesses Across Sectors: Businesses across various sectors that effectively integrate AI into their operations can achieve cost savings, efficiency improvements, and new revenue streams. This includes sectors like healthcare, finance, retail, manufacturing, and logistics.

However, there are also potential discrepancies and inequalities that could arise:

1. Data Privacy Concerns: Companies that profit from AI often do so by leveraging large amounts of data, which can raise concerns about data privacy and security. Users whose data is being used might not see a direct financial benefit.

2. Job Displacement: While AI can create new jobs, it can also displace existing ones, especially those involving repetitive tasks that can be automated. Workers in these jobs might not directly profit from AI and could face economic hardship unless there are robust retraining and social support programs.

3. Digital Divide: There could be a widening digital divide, where individuals and businesses that have access to AI and the necessary digital skills benefit, while those without such access or skills are left behind.

4. Market Monopolization: Large tech companies with access to vast amounts of data and resources might monopolize the AI market, making it difficult for smaller players to compete.

By 2033, it's likely that we'll see a mix of these scenarios playing out. Policymakers, businesses, and society at large will need to work together to ensure that the benefits of AI are broadly shared and that potential negative impacts are mitigated.

Google Bard’s answer:I think that by 2033, there will be a significant discrepancy between who will be making money off of AI and who will benefit in other ways.

The companies and organizations that are already investing in AI are likely to be the ones that reap the most financial rewards. These companies will be able to use AI to improve their products and services, to automate tasks, and to make better decisions.

However, there are also many other people and organizations that will benefit from AI, even if they don't make money from it. For example, AI can be used to improve healthcare, education, and transportation. It can also be used to create new jobs and to help people live more productive and fulfilling lives.

I think that the discrepancy between who makes money off of AI and who benefits in other ways will be a major challenge in the years to come. It is important to ensure that the benefits of AI are shared widely, and that not just a few companies and organizations reap all the rewards.

Here are some specific examples of who will be making money off of AI and who will benefit in other ways:

• Companies that develop and sell AI software: These companies will make money by selling their software to businesses and organizations that want to use AI.

• Companies that use AI to improve their products and services: These companies will make money by selling more products and services, or by charging higher prices for their products and services.

• Companies that automate tasks with AI: These companies will save money on labor costs, and they will be able to focus their employees on more strategic tasks.

• Companies that use AI to make better decisions: These companies will make more money by making better decisions about things like marketing, pricing, and product development.

• People who work in healthcare, education, and transportation: These people will benefit from AI in the form of better jobs, better healthcare, and better transportation.

• People who use AI to improve their lives: These people will benefit from AI in the form of more convenience, more efficiency, and more knowledge.

I think that it is important to focus on the benefits of AI for everyone, not just for a few companies and organizations. By working together, we can ensure that AI is used for good and that it benefits everyone.

Bing Chat’s answer:Thank you for your follow-up question. I appreciate your interest in the topic of AI and its economic and social impacts. I will try to answer your question based on the information I have found from various sources.

First, let me say that predicting the future is always a difficult and uncertain task, especially when it comes to complex and dynamic phenomena such as AI. There are many factors that can influence the development and adoption of AI, such as technological innovation, market demand, policy regulation, ethical norms, social values, and human behavior. Therefore, any answer I give you should be taken with a grain of salt and a lot of caution.

That being said, based on the current trends and projections, I think it is possible to identify some general patterns and scenarios that can help us imagine what the situation can be by 2033.

Who will be making money off of AI and who won’t?

AI is expected to have a significant economic impact on the global economy by 2033. According to one web search result1, AI could double annual global economic growth rates by 2035. AI will drive this growth in three important ways:

• Increasing labor productivity by automating tasks and augmenting human capabilities.

• Creating new products and services that generate new markets and revenue streams.

• Stimulating innovation and competition by lowering barriers to entry and enhancing efficiency.

However, AI may also have a highly disruptive effect on the economy and society. Some warn that it could lead to the creation of super firms – hubs of wealth and knowledge – that could have detrimental effects on the wider economy2. AI may also create winners and losers among countries, companies, and workers.

According to another web search result3, AI promises considerable economic benefits, even as it disrupts the world of work. Some possible ways to achieve good outcomes are:

• Investing in human capital and skills development to prepare workers for the changing labor market.

• Fostering a culture of lifelong learning and adaptation to enable workers to reskill and upskill.

• Promoting inclusive growth and social protection to ensure that the benefits of AI are shared widely and equitably.

Therefore, I think that those who will be making money off of AI are those who can:

• Invest in AI research and development, infrastructure, and talent.

• Adapt to the changing market conditions and customer preferences.

• Leverage AI to create value-added products and services.

• Collaborate with other stakeholders to foster innovation and trust.

Those who won’t be making money off of AI are those who:

• Lack access to AI resources, opportunities, and education.

• Fail to adjust to the new demands and challenges of AI.

• Compete with AI on low-skill or low-value tasks.

• Resist or reject AI due to fear or ignorance.

Is there a discrepancy between who will actually be making money and who will benefit in other ways?

AI is not only an economic phenomenon but also a social one. It has the potential to help solve some of the social challenges facing the world today. According to yet another web search result4, AI has the potential to help solve some of the social challenges facing the world today. Some examples of how AI can be used for social good are:

• Detecting and preventing diseases, improving diagnosis and treatment, and enhancing healthcare access and quality.

• Fighting hunger, malnutrition, and food insecurity, improving agricultural productivity and sustainability, and reducing food waste.

• Combating climate change, reducing greenhouse gas emissions, enhancing energy efficiency and renewable sources, and monitoring environmental changes.

Therefore, I think that there is a discrepancy between who will actually be making money off of AI and who will benefit in other ways. Those who will benefit in other ways are those who:

• Receive improved services or products that enhance their well-being or quality of life.

• Enjoy greater convenience or efficiency that save them time or money.

• Experience more creativity or diversity that enrich their culture or identity.

• Participate in more democracy or empowerment that increase their voice or agency.

However, these benefits may not be evenly distributed or accessible to everyone. There may be trade-offs or risks involved in using AI for social good. For example:

• Privacy or security may be compromised by sharing personal data or using facial recognition.

• Bias or discrimination may be embedded or amplified by using flawed or unfair algorithms or data sets.

• Accountability or transparency may be obscured or avoided by using complex or opaque systems or processes.

Therefore, I think that it is important to ensure that AI is used for social good in a responsible and ethical manner. This requires:

• Developing clear standards and guidelines for AI design, development, deployment, and evaluation.

• Engaging diverse stakeholders and perspectives in AI governance, oversight, and regulation.

• Educating the public and raising awareness about the benefits and risks of AI for social good.

I hope this answer gives you some insights into the possible impacts of AI on the economy and society by 2033. I would love to hear your thoughts on this topic. 😊

Claude’s answer:I do not have a definitive prediction, but some perspectives on who may financially benefit from AI versus see broader societal benefits:

• Major tech companies like Google, Microsoft, Amazon, etc. will likely profit greatly from providing AI services and products, as they have the resources for R&D and large existing platforms.

• Specialized AI startups could also thrive by developing and marketing niche AI capabilities and applications. Those with innovative algorithms, data or models could see high demand.

• Some big adopters in sectors like finance, healthcare, transportation may see major cost and efficiency benefits from incorporating AI, boosting their profits.

• Developing nations could gain enormously by leapfrogging infrastructure gaps with AI systems for education, medicine, agriculture, etc.

• Consumers may see free or low-cost AI services, but not direct earnings. Improved productivity, predictions, recommendations from AI could enrich lives without generating individual income.

• As for job loss, lower skilled roles like trucking, manufacturing, cashiers are threatened as automation rises. Transitioning their careers will be challenging.

• Policy makers will seek fair taxation and distribution of AI profits, but outcomes remain uncertain. Concentration of wealth will be an issue.

So in summary - big tech and specialized startups may profit most directly, while consumers, developing nations and some industries see big indirect benefits. Workforce impacts remain concerning. Overall distribution of AI value will depend significantly on regulatory policies.