Artificial intelligence

Artificial intelligence and its future implications

This topic explores the current state of artificial intelligence (AI), its potential future developments, and the potential impact of AI on various industries and society as a whole.

Advances in technology have made Artificial intelligence an increasingly important topic, enabling machines to perform tasks once thought to be exclusively human.

intelligence

From self-driving cars to voice-activated personal assistants, AI is changing the way we live and work. However, as AI continues to evolve, it also raises some important questions about the future of society and the potential implications of this technology.

Significant developments characterize the current state of AI. One notable development is the rise of machine learning, where computers learn and improve from experience without explicit programming.

This has led to significant advances in areas such as image recognition, natural language processing, and autonomous decision-making.

Another significant development in AI is the rise of deep learning, a type of machine learning that uses artificial neural networks to simulate the behavior of the human brain. 

This has led to significant improvements in areas such as speech recognition, natural language processing, and computer vision.

Despite these advances, AI is still in its early stages of development, and many potential future implications remain uncertain. One of the most significant is the potential impact of AI on employment. 

As machines increasingly perform tasks previously handled by humans, the risk of significant job losses and economic disruption due to automation arises.

In addition, AI has the potential to transform the way we work and live in several other ways. For example, it could lead to significant improvements in healthcare by enabling more accurate diagnoses and personalized treatment plans. 

It could also revolutionize transportation by making self-driving cars a reality, potentially reducing traffic congestion and improving safety.

However, there are also potential risks associated with AI. One of the most significant is the risk of unintended consequences. 

Machines become increasingly autonomous and capable of making decisions on their own. There is a risk that they could make decisions that are harmful to humans or society as a whole.

Another potential risk of AI is its impact on privacy and security. As machines increasingly process and analyze large amounts of data, there’s a risk that personal data could harm individuals or society as a whole.

Despite these potential risks, there are also many potential benefits to AI. For example, it could enable more efficient and effective decision-making in areas such as finance and business. 

It could also lead to significant improvements in areas such as education and entertainment. By providing personalized experiences and more immersive interactions.

Ultimately, the future of AI is likely to be shaped by many factors. Including technological advances, social and political trends, and economic forces. 

As AI advances, we must stay aware of its implications and ensure it benefits society.

This will require ongoing research, investment, cross-disciplinary collaboration, and open dialogue about the risks and benefits of this transformative technology. 바카라사이트

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Artificial Intelligence

Artificial Intelligence: The impact of AI on society, ethics and accountability in AI development, and the future of AI in healthcare and other industries.

Artificial intelligence (AI) is transforming the world we live in, revolutionizing industries, and changing the way we work and interact with one another. 

From healthcare and finance to transportation and entertainment, AI is having a profound impact on society. 

As AI continues to advance and become more prevalent, considering the ethical implications and ensuring its development and use in a responsible and accountable manner is important.

Artificial Intelligence

One of the main benefits of AI is its ability to automate repetitive tasks and processes, freeing up time and resources for more complex and creative work. In industries such as manufacturing and logistics, AI-powered robots and machines are increasing efficiency and reducing costs. 

In healthcare, AI analyzes medical images and detects diseases at an early stage, improving patient outcomes and saving lives. AI also develops personalized treatment plans and predicts patient outcomes, revolutionizing healthcare approaches.

However, the rapid pace of AI development has raised concerns about its impact on jobs and the workforce. As machines become more intelligent and capable of performing tasks that were once done by humans. Many fear a substantial loss of jobs.

There are also concerns about the potential for AI to be used in unethical ways. Such as in autonomous weapons systems or the manipulation of public opinion through social media.

Establishing ethical guidelines and ensuring responsible and accountable development and usage of AI are necessary to address these concerns. One key area of concern is bias in AI algorithms, which can lead to unfair or discriminatory outcomes. 

For example, studies have shown that facial recognition systems exhibit higher error rates for people with darker skin tones. Highlighting the need for diversity and inclusion in AI development teams and data sets.

Another important issue is transparency and accountability in AI decision-making. As AI becomes more prevalent in areas such as finance and healthcare. The decisions made by these systems must be transparent and understandable to humans. 

This can help to build trust in AI and ensure that it is being used responsibly. As AI continues to evolve, there are many exciting possibilities for its use in healthcare. 

For example, AI-powered virtual assistants could help patients manage chronic conditions and track their health data. AI-powered diagnostic tools could help to identify rare diseases and improve the accuracy of medical diagnoses. 

AI could also predict and prevent disease outbreaks, thereby improving public health and saving lives.

However, there are also challenges to the widespread adoption of AI in healthcare. One key issue is data privacy and security.

Emphasizing the necessity for robust testing and regulatory frameworks.

Conclusion

AI has the potential to transform society and improve our lives in many ways. From improving healthcare outcomes to revolutionizing industries such as manufacturing and logistics. 

However, considering the ethical implications of AI is crucial to ensuring its responsible and accountable development and usage.

By establishing ethical guidelines and promoting diversity and inclusion in AI development teams. We can help to ensure that AI is a force for good in the world. 바카라사이트

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The Artificial Intelligence

Artificial Intelligence: The impact of AI on society, ethics and accountability in AI development, and the future of AI in healthcare and other industries.

Artificial intelligence (AI) is transforming the world we live in, revolutionizing industries, and changing the way we work and interact with one another. 

From healthcare and finance to transportation and entertainment, AI is having a profound impact on society. 

However, as AI advances and becomes more widespread, it’s crucial to consider its ethical implications and ensure responsible and accountable development and usage.

Artificial Intelligence

One of the main benefits of AI is its ability to automate repetitive tasks and processes, freeing up time and resources for more complex and creative work. In industries such as manufacturing and logistics, AI-powered robots and machines are increasing efficiency and reducing costs. 

In healthcare, AI analyzes medical images and detects diseases at an early stage, improving patient outcomes and saving lives. Additionally, AI develops personalized treatment plans and predicts patient outcomes, revolutionizing healthcare approaches.

However, the rapid pace of AI development has raised concerns about its impact on jobs and the workforce. As machines gain intelligence and perform tasks previously done by humans, concerns arise regarding the potential loss of numerous jobs.

Concerns also exist regarding AI’s potential for unethical use. Such as in autonomous weapons systems or manipulating public opinion via social media.

To mitigate these concerns, it’s crucial to establish ethical guidelines and ensure responsible and accountable AI development and usage. One key area of concern is bias in AI algorithms, which can lead to unfair or discriminatory outcomes. 

For instance, facial recognition systems exhibit higher error rates for darker skin tones. Underscoring the imperative for diversity and inclusion in AI development teams and datasets.

Another important issue is transparency and accountability in AI decision-making. As AI becomes more prevalent in finance and healthcare. The decisions made by these systems must be transparent and comprehensible to humans.

This can help to build trust in AI and ensure that it is being used responsibly. As AI continues to evolve, many exciting possibilities exist for its use in healthcare. 

For instance, AI-driven virtual assistants could aid patients in managing chronic conditions and tracking health data. While diagnostic tools could enhance rare disease identification and medical diagnosis accuracy.

AI could also be used to predict and prevent disease outbreaks, helping to improve public health and save lives.

However, there are also challenges to the widespread adoption of AI in healthcare. A crucial concern is healthcare data privacy and security, requiring safeguarding against cyberattacks and unauthorized access.

Concerns also arise regarding AI’s potential for errors or harmful usage, emphasizing the necessity of rigorous testing and regulatory frameworks.

Conclusion

AI has the potential to transform society and improve our lives in many ways. From improving healthcare outcomes to revolutionizing industries such as manufacturing and logistics. 

Considering the ethical implications of AI is essential to ensure responsible and accountable development and usage.

By establishing ethical guidelines and promoting diversity and inclusion in AI development teams. We can help to ensure that AI is a force for good in the world. 바카라사이트

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Artificial intelligence become increasingly prevalent daily

Artificial intelligence (AI): AI has become increasingly prevalent daily, with applications in everything from healthcare to finance. This topic could explore the benefits and challenges of AI, as well as the ethical considerations surrounding its use

Artificial intelligence (AI) is rapidly becoming a ubiquitous presence in our daily lives. AI is transforming the way we live and work, from algorithms recommending products and services online to the development of autonomous vehicles designed to drive us around.

In this essay, we will explore the benefits and challenges of AI, as well as the ethical considerations surrounding its use.

Artificial intelligence

One of the most significant benefits of AI is its ability to process and analyze large amounts of data quickly and accurately. In industries such as healthcare, this ability has the potential to revolutionize the way we diagnose and treat illnesses. 

AI-powered tools can help doctors identify patterns in medical data that humans may have missed, leading to more accurate diagnoses and better treatment outcomes.

Finance is utilizing AI to enhance risk management and detect fraud. Machine learning algorithms can analyze financial data to identify patterns and predict future trends, helping investors to make better decisions. 

Additionally, the finance industry is developing AI-powered chatbots to deliver customer service. This allows banks and financial institutions to offer more personalized and efficient services to their customers.

Another area where AI is having a significant impact is transportation. Engineers are developing self-driving cars that use AI to navigate roads and avoid obstacles.

This technology has the potential to reduce the number of car accidents caused by human error. As well as improve traffic flow, and reduce the environmental impact of transportation.

However, with these benefits come significant challenges. One of the biggest challenges is the potential impact of AI on employment. 

As machines become more capable of performing tasks traditionally performed by humans. The risk of job loss exists. This could have significant social and economic consequences, particularly for workers in lower-skilled industries.

Another challenge is the potential for AI to perpetuate and amplify existing biases and discrimination. Machine learning algorithms derive their bias from the data they are trained on. If the data is biased, the algorithm learns and perpetuates that bias.

This can have significant ethical implications, particularly in industries such as healthcare and criminal justice.

There are also significant ethical considerations surrounding the use of AI in warfare. Developers are creating autonomous weapons, like drones and robots, with the potential to make life-and-death decisions without human intervention.

Finally, there are concerns about the impact of AI on privacy and security. As machines improve at analyzing large data sets. There’s a risk of privacy rights violations through the use of personal information.

In addition, there is the risk of cyberattacks on AI systems, which could significantly affect public safety and security.

Conclusion

AI transforms how we live and work, offering significant benefits in healthcare, finance, and transportation.

Ensuring ethical principles guide AI development and use, balancing potential risks and benefits, is crucial. This approach ensures AI benefits society while minimizing harm. 바카라사이트

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Artificial intelligence (AI)

Artificial intelligence has become increasingly prevalent daily, with applications in everything from healthcare to finance. This topic could explore the benefits and challenges of AI, as well as the ethical considerations surrounding its use

Artificial intelligence (AI) is rapidly becoming a ubiquitous presence in our daily lives. AI is transforming how we live and work, from algorithms recommending products and services online to developing autonomous vehicles that will drive us around.

In this essay, we will explore the benefits and challenges of AI, as well as the ethical considerations surrounding its use.

One of the most significant benefits of AI is its ability to process and analyze large amounts of data quickly and accurately. In industries such as healthcare, this ability has the potential to revolutionize the way we diagnose and treat illnesses. 

Artificial intelligence

AI-powered tools can help doctors identify patterns in medical data that humans may have missed, leading to more accurate diagnoses and better treatment outcomes.

In finance, AI is leveraging risk management and enhancing fraud detection. Machine learning algorithms can analyze financial data to identify patterns and predict future trends, helping investors to make better decisions. 

AI-powered chatbots in finance offer personalized and efficient customer service, aiding banks and financial institutions.

Another area where AI is having a significant impact is transportation. Engineers are developing self-driving cars that utilize AI to navigate roads and avoid obstacles.

This technology could cut car accidents from human error, enhance traffic flow, and lessen transportation’s environmental impact.

However, with these benefits come significant challenges. One of the biggest challenges is the potential impact of AI on employment. 

As machines take over tasks traditionally done by humans, there’s a risk of job loss. This could have significant social and economic consequences, particularly for workers in lower-skilled industries.

Another challenge is the potential for AI to perpetuate and amplify existing biases and discrimination. The level of bias in machine learning algorithms is determined by the data on which they are trained. If the data is biased, the algorithm will learn and perpetuate that bias.

This can have significant ethical implications, particularly in industries such as healthcare and criminal justice.

There are also significant ethical considerations surrounding the use of AI in warfare. Drones and robots, as autonomous weapons, can make life-and-death decisions without human intervention.

Concerns exist that autonomous weapons could be used for targeted killings or human rights violations, posing challenges to accountability.

Finally, there are concerns about the impact of AI on privacy and security. As machines better process data, there’s a risk of violating privacy rights by using personal information.

In addition, there is the risk of cyberattacks on AI systems, which could significantly affect public safety and security.

Conclusion

AI is reshaping life and work, offering substantial benefits in healthcare, finance, and transportation. However, one must carefully consider significant challenges and ethical considerations.

Ensuring ethical principles guide AI development and use involves carefully balancing potential risks and benefits. By developing and using AI responsibly, we can ensure it benefits society and minimizes harm. 바카라사이트

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Technology: Advances in technology continue to our world

Technology: Advances in technology continue to shape our world, with topics such as artificial intelligence, cybersecurity, and the impact of social media on society generating ongoing debate and discussion.

Technology has undoubtedly revolutionized our world transforming the way we work in our daily lives. Advances in technology continue to shape our world with new innovations emerging all the time. We will explore the most significant topics in the field of technology the impact of social media on society.

Technology

Artificial intelligence (AI) is one of the most exciting and rapidly evolving fields in technology today. AI refers to the development of computer systems that can perform tasks like human intelligence and problem-solving. AI has the potential to revolutionize a wide range of industries the potential for AI to be used for malicious purposes.

Cybersecurity is another critical topic in technology increasing reliance on digital technologies has created new vulnerability risks. Cybersecurity refers to the protection of computer systems and networks from unauthorized access.

With the rise of cybercrime increasing the sophistication of cyber attacks, there is a growing need for effective cybersecurity measures.

Topics in this area may include the importance of strong passwords, the role of encryption in protecting data, and strategies for preventing and responding to cyber-attacks.

The impact of social media on society is another topic of ongoing debate and discussion. Social media platforms such as Facebook, Twitter, and Instagram have fundamentally transformed the way we communicate and share information, with both positive and negative consequences.

On the one hand, social media has created new opportunities for connection and community-building, allowing people to connect with others who share their interests and values. Social media has also been linked to mental health issues, cyberbullying, and the spread of misinformation and fake news.

Another important topic in technology is the ethical considerations that arise from new technological developments. As technology continues to advance, we must grapple with complex ethical questions about the impact of technology on society and individuals.

Topics in this area may include the ethics of AI, the use of technology in warfare, and the impact of automation on the workforce. 바카라사이트

Finally, the impact of technology on our environment is another important topic of discussion. From the energy consumption associated with data centers and other computing infrastructure to the environmental impact of electronic waste, technology has a significant ecological footprint.

As we continue to rely on technology to power our lives and businesses, it is essential to consider the environmental impact of our technological choices.

In conclusion, advances in technology continue to shape our world in profound ways, and there are many important topics to consider in this field.

From the potential of AI to the risks of cyber attacks, from the impact of social media on our lives to the ethical considerations that arise from new technological developments, there are many fascinating and complex issues to explore.

As we navigate the rapidly changing landscape of technology, it is essential to remain informed and engaged in these ongoing conversations.

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AI As A Future Or A New Reality For Software Developers?

Instead of competing with humans, AI developers may try to use algorithms to augment programmers’ work and make them more productive: in the context of software development, we clearly see AI performing human tasks as well as augmenting programmers’ work.

According to our research, programmers spend 35% of their time understanding code, 5% of their time writing code, 10% on other coding-related activities, and 50% on other non-coding activities — even with advanced computers, we don’t expect such tools to redefine the profession of a programmer anytime soon.

AI can assist programmers in performing small tasks more efficiently: AI can help to complete the code, teach the user how to use new features, and search in the code and beyond.


Unavailability of training data, resource requirements, and the interface between the AI and the user are all barriers to perfect AI.

Companies working on software development tools are rapidly developing the ability to productize AI-powered solutions for small tasks, so we expect to see more of these solutions in the near future.

People are increasingly exposed to AI in their personal and professional lives. JetBrains creates tools for programmers, and we believe the software development industry is no exception to this trend.

People employ AI in two ways:

  1. Replace humans by completely automating some of their tasks.
  2. Enhance humans while keeping them as the central figure in the process.

Algorithms already write code, but human developers don’t have to worry about being replaced. Surprisingly, this is not because it is impossible to teach computers programming skills, but because it is impractical. Three major factors are impeding AI progress:

  • There is a scarcity of training data.
  • Computing power is limited.
  • The interface between algorithms and people is complex.

Many mundane tasks, such as code completion, code search, and bug detection, are now powered by machine learning to augment the work of human programmers.

How Do People See AI?

When most people hear the term “AI,” they envision a computer replacing a human, performing the same task but better in some way: faster, cheaper, with higher quality, or all of the above. Playing chess or Go, writing poetry, and driving a car are examples of such tasks.

Some people are excited about the prospect of computers freeing them from routine tasks, while others are skeptical. The latter may argue that machines are still far from matching what humans are capable of.

“How are you going to teach a computer to do this?” questions frequently imply that you won’t be able to. Here are a few examples of previous similar questions:
In Go, the number of reasonable moves exceeds the computational resources available.

How do you intend to replace human intuition? According to this 1997 article, experts estimated it would take a hundred years.

How do you train a self-driving car to recognize a puddle and slow down? Because computers can already play Go and drive cars, these questions have become obsolete. This gives us reason to believe that unanswered questions of this nature will be addressed in the future. Whatever field we choose, computers are getting closer to matching human abilities.

However, replacing a human being is not always practical. Instead of competing with humans, AI-based technology developers may opt for a different product strategy, attempting to use algorithms to augment programmers’ work and make them more productive.

In the context of software development, we clearly see AI performing human tasks as well as augmenting programmers’ work.

Replacing the Human Programmer 

The announcement of GitHub Copilot powered by OpenAI reignited debate over when and if computers will replace human programmers. Skeptics who believed that replacing humans was impossible always asked: How do you explain to the machine what your program should do?

The answer is straightforward. You define what you want in natural language, give the function a name, and, optionally, write a few lines to get it started. The rest is then filled in by Copilot, much like a real programmer would.

Some people are impressed by Copilot’s intelligence. Others have noted the flaws in its work and believe they are significant enough to suggest that human programmers will be required for the foreseeable future. Another group of reviewers notices the same flaws but concludes that Copilot is a terrible and dangerous tool that should not be touched with a barge pole.

What is the main flaw they highlight? Copilot programs are frequently verbose and difficult to read.

R. Minelli, A. Mochi, and M. Lanza estimate that programmers spend roughly 70% of their coding-related time understanding the code, while writing accounts for only about 5%.

Important Takeaways

Instead of competing with humans, AI developers may try to use algorithms to augment programmers’ work and make them more productive: in the context of software development, we clearly see AI performing human tasks as well as augmenting programmers’ work.

According to our research, programmers spend 35% of their time understanding code, 5% writing code, 10% on other coding-related activities, and 50% 카지노 on non-coding activities — even with advanced computers, we don’t expect such tools to redefine the programming profession.

Unavailability of training data, resource requirements, and the interface between the AI and the user are all barriers to perfect AI. Companies working on software development tools are rapidly developing the ability to productize AI-powered solutions for small tasks, so we expect to see more of these solutions in the near future.

Verbose and unclear machine-generated programs could make the already difficult “understanding” part even more difficult. The cognitive load on the human side of the tandem remains: the programmer must still comprehend what the algorithm writes. How long can humans keep up with the computer’s pace? Small tasks may be sped up by having AI write code, but large projects may not be.

Consider revision control, which was implemented in the 1970s. The ability to track and undo changes greatly expanded the boundaries of what people could comprehend. It enabled large groups of programmers to collaborate, allowing for the development of more complex systems. That was game changer for the entire industry.

Copilot is an excellent research result that demonstrates AI’s potential. It accomplishes what many thought was impossible. Nonetheless, we do not anticipate such tools.

When you start typing a search query in Google, it takes the characters you’re typing and begins to suggest full query options. Source code editors offer very similar functionality to programmers.


The first code completion versions appeared in the XX century and calculated the frequencies of the words in the project. They displayed the most frequently occurring words that began with the characters entered by the user. A frequency-based approach like this worked well enough to boost productivity. People improved the algorithm over time by adding heuristics on top of the frequency idea, but the desire to provide the exact word the user desired drove us to use machine learning to sort the suggestions.

The amount of information available to us to determine the best suggestion is so vast that it is impossible to create a deterministic algorithm that takes it all into account. We’d have to deal with far too many exceptional cases.

For example, consider the following general rules. The closer the token is defined to the location where the programmer is currently editing, the more likely it is. Furthermore, the standard language libraries can be sorted by popularity, and tokens from the least popular libraries can be deprioritized. All of this being said, imagine you’re working on a Java source code editor (which is exactly what we do at JetBrains) and you start typing “Co”. Which of the two suggestions below do you prefer?

On the one hand, red-black trees are used in the editor. On the other hand, the java.awt package is rarely used in industry. However, when we say “Color,” we most likely mean java.awt.

We have over a hundred factors that influence the ordering of suggestions. Is the suggestion a user-defined symbol, a standard language library, or an imported third-party library? Is the suggestion to be inserted at the beginning or in the middle of a line? Is there a dot in front of this location? How many hours per day does the user work on average? Do they have the suggestion definition open in a different editor tab right now?

A source code editor is a difficult piece of software to use. There are hundreds of operations that can be used to increase productivity. Unfortunately, programmers cannot possibly know them all.

We can promote certain functionality by displaying tips on startup, but remembering these tips when it comes time to use them may be difficult. Most programmers have a set of fifty favorite commands. We must present a user with two or three actions that will be especially beneficial to them based on their work patterns and habits when using intelligent tips.

These personalized recommendations can be generated using AI. For example, if the user frequently performs cut/paste operations within the same screen, we may want to inform them about the code move operation:
The simplest method for accomplishing this is known as “collaborative filtering.” It is used in modern music, video, book, and product recommendation systems. There are two fundamental steps:

  1. Find the users “similar” to the given one.
  2. Find what these users do that the given user doesn’t do yet and base our recommendation on that difference.

Finding similar users for content recommendations is fairly simple: if our target person likes the same ten movies as a group of other people, but hasn’t seen one more that everyone in this group likes, it’s a pretty safe bet. The only caveat is to avoid overly popular films that almost everyone praises. Likes for “The Godfather” or “Forrest Gump” don’t reveal much about the user’s tastes.

It’s a little more difficult with the source editor features. Because there are no features of the same genre or cast, we must examine smaller behavioral patterns. How long does the user spend debugging? How frequently do they modify existing code? How quickly can they type? Do they write tests before or after coding, if at all? Taking these factors into account will determine user similarity and recommend tools that will be useful given the known behavior patterns.

Exploring the Code and Beyond

Many software products, from web search engines to online stores, include search functionality. This functionality is also available in source code editors: developers frequently need to find something in their code, documentation, and tool configuration options. These are two very different types of information, and software development tools usually look for them in separate places.

We intend to provide a single search function within the source code editor that can be used to find any of the above domains while accounting for synonyms and typos. Because so many people work on search algorithms, one would think that a standard reusable solution would exist, but each domain has unique details that necessitate the development of the search functionality separately.


When different item types with similar names are available in the project, complications arise. If a user types “format” into the search box while their project contains a file named Formatter.java, are they looking for that file, standard formatting library functions, or IDE functionality to reformat their project’s code?

Machine learning works by combining search results from various sources and weighing them against one another. Text matching, the user’s search history and previous preferences (for example, do they ever click on the file search results? ), the content of the user’s project, and what the user was editing immediately before issuing the search query are all factors influencing the decision. Writing a deterministic algorithm that takes all of these factors into account does not appear feasible, whereas machine learning methods extract patterns automatically.

The Cost Of Introducing AI

The sum of all minor AI-powered improvements in user productivity can result in a significant overall increase. It does, however, come at a cost. AI-based systems work well in most cases, but there are some situations where they can provide weird results. Providing such results to the users costs us some of their trust. Each time we replace strict rules with an AI-powered decision-making system, we have to decide whether to make a tradeoff. We can improve our average decision quality, but we may lose some user trust in the process. It would be ideal to design flawless systems in which trust is not lost due to poor suggestions, but there are several obstacles.

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