#Artificial Intelligenc Projects

[prakashymtsdm]

Best Artificial Intelligence Projects

Artificial intelligence (AI) is revolutionizing the way we address complex urban challenges, offering innovative solutions that enhance efficiency and sustainability. In this blog post, we explore two fascinating AI projects aimed at tackling urban issues: detecting and predicting air pollution levels and managing tourist activities using machine learning algorithms.

1. Detection and Predicting Air Pollution Level in a Specific City Using Machine Learning Models

The regulation of air pollutant levels is rapidly increasing and its one of the most important tasks for the governments of developing countries, especially India. It is important that people know what the level of pollution in their surroundings is and takes a step towards fighting against it. The meteorological and traffic factors, burning of fossil fuels, industrial parameters such as power plant emissions play significant roles in air pollution. Among all the particulate matter (PM) that determine the quality of the air. When its level is high in the air, it causes serious issues on people's health Hence, controlling it by constantly keeping a check on its level in the air is important.

2. Tourist Management Using Machine Learning

With the development of country economy, formation of a new life concept and the perfection of vacation system, tourism has become more and more people's choice during the holidays. Its market is broad and potential. At present; the main way for guide service is the artificial guide service, which have many shortcomings. The developing tourist industry proposes higher and higher demands to the intelligent tourist guide system, which can take place of the traditional artificial guide service. Functions of intelligent automatic interpretation, real time navigation, intelligent route planning and surrounding service reminder are included in it. With rapid development of electronic information technology and computer technology as the support.

A1 is a constellation of technologies that enable machines to act with higher levels of intelligence and emulate the human capabilities of sense, comprehend and act. Thus, computer vision and audio processing can actively perceive the world around them by acquiring and processing images, sound and speech. Artificial intelligence is implemented in tourism management is highly recommended approach therefore in this app we are going to implemented as fallows.

3. Improving Road Safety Using AI-driven Solutions: Urban traffic congestion is a common problem, but artificial intelligence offers some respite. Artificial intelligence (AI) systems forecast patterns of traffic congestion, improve traffic signal timings, and provide other routes by evaluating real-time traffic data from multiple sources, including GPS devices, cameras, and traffic sensors. This proactive strategy not only minimizes fuel consumption and travel time, but it also improves road safety and reduces environmental pollution.

4. Improving Healthcare Access and Delivery with AI-powered Telemedicine:

In bustling urban centers , access to quality healthcare can be a daunting challenge. However, AI-powered telemedicine platforms are bridging this gap. By leveraging machine learning algorithms to analyze patient data and symptoms, healthcare providers can offer remote consultations, diagnoses, and treatment recommendations. This not only enhances healthcare accessibility for urban dwellers but also reduces the burden on overstretched healthcare facilities, leading to more efficient healthcare delivery and improved patient outcomes. In conclusion, artificial intelligence offers powerful tools for addressing urban challenges such as air pollution and tourist management. By harnessing the capabilities of machine learning algorithms, cities can make informed decisions, improve resource allocation, and create more sustainable and livable environments for residents and visitors alike. More Info

[mitchipedia]

Everyone is cheating their way through college: ChatGPT has unraveled the entire academic project

James D. Walsh at New York Intelligencer writes a deeply researched article on how students at “large state schools, the Ivies, liberal-arts schools in New England, universities abroad, professional schools, and community colleges” … “are relying on AI to ease their way through every facet of their education…. take their notes during class, devise their study guides and practice tests, summarize novels and textbooks, and brainstorm, outline, and draft their essays. STEM students are using AI to automate their research and data analyses and to sail through dense coding and debugging assignments. ‘College is just how well I can use ChatGPT at this point,’ [said a Utah student].”

If you cheat your way through college, are you cheating yourself? Robbing yourself of the education you’re paying tens of thousands of years for? Or is college just a gate you pass through to get to a higher-paying job and higher social status?

[Troy Jollimore, a poet, philosopher, and Cal State Chico ethics professor,] who has been teaching writing for more than two decades, is now convinced that the humanities, and writing in particular, are quickly becoming an anachronistic art elective like basket-weaving. “Every time I talk to a colleague about this, the same thing comes up: retirement. When can I retire? When can I get out of this? That’s what we’re all thinking now,” he said. “This is not what we signed up for.” Williams, and other educators I spoke to, described AI’s takeover as a full-blown existential crisis. “The students kind of recognize that the system is broken and that there’s not really a point in doing this. Maybe the original meaning of these assignments has been lost or is not being communicated to them well.”

He worries about the long-term consequences of passively allowing 18-year-olds to decide whether to actively engage with their assignments. Would it accelerate the widening soft-skills gap in the workplace? If students rely on AI for their education, what skills would they even bring to the workplace? Lakshya Jain, a computer-science lecturer at the University of California, Berkeley, has been using those questions in an attempt to reason with his students. “If you’re handing in AI work,” he tells them, “you’re not actually anything different than a human assistant to an artificial-intelligence engine, and that makes you very easily replaceable. Why would anyone keep you around?” That’s not theoretical: The COO of a tech research firm recently asked Jain why he needed programmers any longer.

(Emphasis added by me.)

GenAI is a great assistant but if using GenAI is your only skill, why would anyone hire you?

GenAI is like Microsoft Office: It’s a tool. Everybody who works at a desk job nowadays needs to know how to use Office or its Google equivalent, but if using Office is all you know how to do, then you have no job skills.

The ideal of college as a place of intellectual growth, where students engage with deep, profound ideas, was gone long before ChatGPT. The combination of high costs and a winner-takes-all economy had already made it feel transactional, a means to an end. (In a recent survey, Deloitte found that just over half of college graduates believe their education was worth the tens of thousands of dollars it costs a year, compared with 76 percent of trade-school graduates.) In a way, the speed and ease with which AI proved itself able to do college-level work simply exposed the rot at the core. “How can we expect them to grasp what education means when we, as educators, haven’t begun to undo the years of cognitive and spiritual damage inflicted by a society that treats schooling as a means to a high-paying job, maybe some social status, but nothing more?” Jollimore wrote in a recent essay. “Or, worse, to see it as bearing no value at all, as if it were a kind of confidence trick, an elaborate sham?”

The article features Chungin “Roy” Lee, a twenty-something AI entrepreneur who has built tools — and businesses based on them — to enable people to use AI to cheat at college, on job interviews and even on dates.

“Every technological innovation has caused humanity to sit back and think about what work is actually useful,” [Lee] said. “There might have been people complaining about machinery replacing blacksmiths in, like, the 1600s or 1800s, but now it’s just accepted that it’s useless to learn how to blacksmith.”

If writing is going to be obsolete, like basket-weaving and blacksmithing, then so be it. I don’t worry about it. I write to set my thoughts in order, and I don’t anticipate stopping that.

As for work: If writing ceases to become a marketable skill … well, I’ll figure something out. “I’ll figure something out” has been a theme of my career.

[techture]

Strategism Inc. is a leading IT training, consulting, and staffing company offering certified courses in Agile, Project Management, Scrum Master, Data Science, AI, Cybersecurity, and more. With flexible learning options and expert mentorship, it helps professionals upskill and fast-track their careers. Strategism also provides IT consulting services and end-to-end placement support, making it a one-stop solution for career advancement and enterprise growth. Strategism Inc. combines industry expertise with practical learning. Whether you're starting your career or scaling your business, Strategism empowers you to succeed in today’s competitive digital landscape.

[aishwaryaanair]

Geek Out! Must-Have AI Certifications for 2024 Innovators

AI is driving innovation across industries, from transforming business processes to creating futuristic technology applications. For professionals passionate about pioneering in this high-growth field, acquiring an AI certification has become a powerful way to stay ahead. If you’re eager to dive into the technical, strategic, and ethical elements of AI, 2024 offers a wealth of top-notch certification options. This article covers some of the most sought-after AI certifications for innovators, including options from AI Certs and other leading institutions.

Why AI Certifications Are Essential for Innovators

With the demand for AI expertise at an all-time high, certifications have become key for professionals seeking to specialize in AI’s transformative power. Here’s how these certifications can benefit your career:

Hands-On Learning: The best AI certifications offer a hands-on approach, giving you the opportunity to work on projects that mirror real-world challenges.

Updated Skill Sets: Certifications allow you to keep your skills updated in a field known for its rapid advancement, from deep learning to AI ethics.

Enhanced Career Opportunities: AI certifications can help open doors to high-paying positions in tech firms, research institutions, and government agencies.

Community and Network: Many certification programs provide access to a network of professionals, mentors, and fellow AI enthusiasts to support your career journey.

Whether you’re a software engineer, data scientist, or project manager, there’s an AI certification to help you master this exciting field.

Must-Have AI Certifications for 2024 Innovators

For those passionate about using AI to spark innovation, here are the top AI certifications to consider in 2024.

1. AI+ Prompt Engineer™ by AI Certs

AI+ Prompt Engineer™ by AI Certs is specifically designed for professionals eager to explore the nuances of prompt engineering, an emerging and powerful area in AI. This course focuses on prompt optimization, covering essential techniques in natural language processing (NLP) to create accurate, human-like AI responses. With practical assignments and interactive learning, AI+ Prompt Engineer™ provides the skill set to innovate and use AI models effectively.

Key Topics Covered:

Foundations of Prompt Engineering: Understand prompt design and optimization in NLP.

Ethical Considerations: Learn responsible AI usage, including data privacy and bias mitigation.

Advanced NLP Techniques: Dive deep into practical applications, from chatbots to AI-driven customer support systems.

For anyone looking to make a mark in NLP and prompt engineering, AI+ Prompt Engineer™ is a valuable investment.

Use the coupon code NEWCOURSE25 to get 25% OFF on AI CERTS’ certifications. Don’t miss out on this limited-time offer! Visit this link to explore the courses and enroll today.

2. Machine Learning Specialization by Stanford University

Stanford University’s Machine Learning Specialization offers a comprehensive understanding of AI fundamentals, particularly in machine learning algorithms and practical applications. This program, available through Coursera, is one of the most respected AI certifications, providing both foundational and advanced concepts in supervised and unsupervised learning. This certification is well-suited for professionals aiming to develop skills in building and deploying machine learning models.

Key Topics Covered:

Machine Learning Foundations: Learn about linear regression, classification, clustering, and deep learning.

Real-World Applications: Understand how machine learning applies across various fields, including healthcare, finance, and technology.

Project-Based Learning: Gain hands-on experience with real-world case studies and projects.

With its rigorous coursework and Stanford’s academic reputation, this certification provides solid preparation for AI innovators.

3. Professional Certificate in Artificial Intelligence by edX and IBM

The Professional Certificate in Artificial Intelligence by IBM, available on edX, is designed for AI enthusiasts who want to gain deep knowledge in building AI applications. This program covers essential AI concepts and tools, providing learners with practical knowledge of neural networks, computer vision, and NLP.

Key Topics Covered:

Python Programming for AI: Learn Python, the programming language most commonly used for AI.

Neural Networks and Deep Learning: Understand the architecture of neural networks and applications in image and text recognition.

AI Applications in Business: Learn how AI is used to solve business problems in fields like customer service, finance, and marketing.

The IBM Professional Certificate is suitable for both beginners and experienced professionals looking to strengthen their skills in developing AI solutions.

4. Deep Learning Specialization by DeepLearning.AI and Andrew Ng

Created by Andrew Ng, a prominent AI researcher, the Deep Learning Specialization on Coursera is tailored for those interested in understanding the inner workings of deep learning. This specialization provides a deep dive into neural networks, covering a wide range of topics from simple models to complex architectures like convolutional networks and generative adversarial networks (GANs).

Key Topics Covered:

Fundamentals of Deep Learning: Learn how neural networks are built and deployed for different tasks.

Computer Vision and NLP: Gain knowledge in applying deep learning for image recognition and language processing.

Practical Implementation: Work on real-world projects to strengthen your practical skills.

This specialization is ideal for professionals looking to specialize in deep learning and develop expertise in high-demand AI technologies.

Choosing the Right Certification for You

Selecting the right AI certification depends on your career goals, skill level, and interests. Here are some tips to guide you:

Assess Your Skill Level: If you’re new to AI, a foundational course like Google’s Machine Learning Crash Course might be a good start. For those with a solid understanding, more advanced certifications like IBM’s AI Engineering or Stanford’s healthcare AI certification offer deeper insights.

Define Your Niche: Each certification program has a unique focus. If you’re passionate about NLP and prompt engineering, AI+ Prompt Engineer™ by AI Certs can give you targeted skills for a career in language-based AI. For those aiming to contribute to healthcare, Stanford’s certification provides industry-specific knowledge.

Consider Practical Applications: Choose certifications that offer hands-on labs and projects to help you apply what you learn.

Career Growth and Network: Consider certifications that offer career support, networking opportunities, and real-world applications, which can significantly boost your employability.

Wrapping Up: The Power of AI Certification for Innovators

AI certifications are more than just credentials — they’re a powerful way to gain industry-relevant skills, stay current, and shape the future of technology. In 2024, the demand for AI expertise will continue to grow, and professionals who invest in their skills today will be well-positioned to lead the charge in tomorrow’s tech-driven world. Whether you’re drawn to machine learning, NLP, healthcare, or ethics in AI, there’s a certification program tailored to help you geek out and excel in your chosen field.

Investing in certifications like AI+ Prompt Engineer™ by AI Certs, Google’s Machine Learning Crash Course, and IBM’s AI Engineering Professional Certificate will prepare you to not only meet but also drive the demands of an AI-powered future.

[ear-worthy]

The Good Robot Podcast: Feminism & Tech Converge

The Good Robot podcast offers listeners an engrossing premise -- Dr Eleanor Drage and Dr Kerry McInerney ask expert guests in each episode: what is good technology? Is ‘good’ technology even possible? And how can feminism help us work towards it? Each week, they invite scholars, industry practitioners, activists, and more to provide their unique perspective on what feminism can bring to the tech industry and the way that we think about technology. With each conversation, The Good Robot asks how feminism can provide new perspectives on technology’s biggest problems.

The podcast is tied closely to the book, "The Good Robot" published by the co-hosts of the podcast, and available in late February. In this edited collection of essays, leading feminist scholars, technologists and activists show why technology needs feminism. Cutting across disciplinary differences and intergenerational divides, the essays demonstrate the breadth of feminist thinking about technology. From Buddhist approaches to making AI ‘compassionate’, to indigenous cultural perspectives on re-thinking relationships between humans and AI, this book offers powerful and provocative alternatives to the status quo. For some contributors, good technology means making AI more inclusive. For others, it means stepping back from new technologies altogether and ‘getting off’ social media. University of Cambridge AI ethicists Dr Eleanor Drage and Dr Kerry McInerney bring together a variety of top thinkers in the field, who provide diverse and expansive responses to the question of ‘what is good technology?’. Each essay acts as a bright spark, an illuminating snapshot of how feminism is reshaping the way we think about technology. Collectively, the essays create a constellation of ideas, laying out a path for us to build a better technological future. Co-host Dr Kerry McInerney (née Mackereth) is a Research Fellow at the Leverhulme Centre for the Future of Intelligence, where she researches anti-Asian racism and AI and Asian diasporic approaches to AI ethics. Kerry is an AHRC/BBC Radio 3 New Generation Thinker, where she brings complex conversations about gender, race and artificial intelligence to wide audiences. ​ Her work uses feminist and critical race theory to examine how histories of race and gender shape contemporary technologies, with a specific focus on artificial intelligence. Her scholarship on this topic has appeared in journals such as Feminist Review, Public Understanding of Science and Philosophy and Technology. Her work on AI-powered hiring tools has also been covered by media outlets like the BBC, BBC Today, Forbes, the Register, and the Daily Mail, among other international outlets. Co-host Eleanor Drage was previously a Christina Gaw Research Associate on the Gender and Technology Research Project, where she helped resolve AI ethics issues at a major technology multinational using feminist and anti-racist theory. She has presented findings to a range of audiences including the United Nations, NatWest, The Open Data Institute (ODI), and the Institute of Science & Technology. She is the co-host of The Good Robot Podcast, has appeared on popular shows such as The Guilty Feminist, and is a TikToker for All The Citizens' data rights channel. She holds an International Dual PhD from the University of Bologna at the University of Granada, where she was an Early-Stage Researcher for the EU Horizon 2020 ETN-ITN-Marie Curie project “GRACE” (Gender and Cultures of Equality in Europe). Dr. Nomisha Kurian is The Good Robot's Youth Inclusion Consultant, and is working with Kerry and Eleanor on developing innovative teaching services and educational programs from The Good Robot podcast. Nomisha is a Teaching Associate at the University of Cambridge. She is currently researching the role of human-centered design in empathy-driven technology and presented her work on children's wellbeing at the UNESCO Artificial Intelligence and Education Forum. She recently became the first Education researcher to win the Cambridge Applied Research Award for "outstanding research with real world application", for designing and delivering interventions for 286 low-income and state-school students across the UK to widen participation in higher education. Previously, as a Yale University Henry Fellow, she used international human rights law to design an anti-bullying framework for marginalized youth. Her work has most recently been published in the Oxford Review of Education, the British Educational Research Journal, and the International Journal of Human Rights. 

One of my favorite episodes was the December 12, 2023, one with Jess Wade on rewriting Wikipedia. Wade explains the lack of feminist authors and people of color on Wikipedia and the disturbing lack of feminist issues covered.

Every few weeks, the co-hosts have a shorter Hot Takes episode on the biggest issues in tech. The August 1, 2023, episode about Musk's name change from Twitter to X and the lack of female representation in the tech industry was particularly illuminating. Check out The Good Robot. It's refreshing to listen to a technology podcast that is hosted by two women instead of Elon Musk-type dudes. The co-hosts are articulate, brilliant, and explicit enough to render complex topics graspable for most listeners.

[david843346]

Workforce Management Software Market Global Demand Analysis & Opportunity Outlook 2035

Research Nester’s recent market research analysis on “Workforce Management Software Market: Global Demand Analysis & Opportunity Outlook 2035” delivers a detailed competitors analysis and a detailed overview of the global workforce management software market in terms of market segmentation by component, deployment, end-user industry, and by region.

Increasing Adoption of Cutting-edge Technologies to Promote Global Market Share of Workforce Management Software

The global workforce management software market is estimated to grow majorly on account of the continuous adoption of cutting-edge technology across various verticals as updating cutting-edge technology can provide numerous benefits to the industry verticals. It not only aids in improving efficiency and productivity but also boosts customer service and engagement. Cutting-edge technologies are incessantly benefitting businesses with technological advancements such as cloud computing, artificial intelligence, and big data analytics. As per a survey, more than 90% of small and medium-sized businesses (SMBs) perform repetitive, time-consuming tasks and automation has improved jobs and productivity for 90% and 66% of knowledge workers respectively. Hence, the industry of workforce management software is estimated to expand with the augmenting use of such advanced technologies to help streamline routine business processes for optimal efficiency.

Request Report Sample@

Some of the major growth factors and challenges that are associated with the growth of the global workforce management software market are:

Growth Drivers:

Rising Demand for Such Systems from Various End-Use Industries

Growing Workflow Automation

Challenges:

The rising cost associated with the development of advanced workforce management software, and the hiked maintenance cost surges the overall cost of such software which are some of the major factors anticipated to hamper the global market size of workforce management software. Furthermore, process automation handling is a complex job. Hence, the constraint of resources especially in small businesses and underdeveloped countries, and the complexity in handling the overall process is considered a major growth restraining factor.

By deployment, the global workforce management software market is segmented into on-premise and cloud. The cloud segment is to garner the highest revenue by the end of 2035 by growing at a significant CAGR over the forecast period. The rise in the adoption of cloud-based data storage systems by various business enterprises across the globe is expected to propel segment growth. As per an estimation, by the end of 2023, over 40% of enterprise workloads will be launched in the cloud. Moreover, the adoption of a cloud-based workflow management software is backed by the benefits that it provides to the deploying organizations.

The software segment is anticipated to garner substantial growth owing to the increased adoption of several automation software programs by enterprises worldwide.

By region, the North American workforce management software market is to generate the highest revenue by the end of 2035. This growth is anticipated by the rising automation across various industries and the growing adoption of software such as ERP, CRM, and cloud services. Moreover, the intelligent automation adoption in countries such as the US, and Canada, is surging at a faster pace which is further expected to propel the market growth in the region.

The Asia Pacific workforce management software market is projected to be the second-largest market by the end of 2035. The growth is majorly backed by the growing digital transformation in emerging economies.

The market in Europe is projected to hold a majority of the share by the end of 2035 owing to the increasing technological advancements and increasing innovation in automation. The integration of artificial intelligence and robotic process automation is brewing the demand for workflow management software across industries in the region.

This report also provides the existing competitive scenario of some of the key players of the global workforce management software market which includes company profiling of Oracle Corporation, Appian Corporation Inc., International Business Machines Corporation, Bizagi, Nintex Global Ltd., Newgen Software Technologies Limited, Pegasystems Inc., Software AG, Source Code Technology Holdings, Inc., Xerox Corporation, and others.     

Access our detailed report at: https://www.researchnester.com/reports/workforce-management-software-market/5069

[binarydatadigital-blog]

New Artificial Intelligence Feature In 2019

“Artificial intelligence” the name itself is revealing that it is the technology which is endowed with intelligence processes. Artificial Intelligence (AI) can be described as the ability of machines to take decisions of their own. Therefore, another name for Artificial Intelligence is Machine intelligence.

The term “Artificial intelligence” was introduced in the year of 1956 and advent of this technology was acknowledged with positive response. Challenges faced by the artificial Intelligence while programming some vital features of the computer are:

Reasoning

Planning

Problem Solving

Perception

Ability to change the position of object

With the help of Artificial intelligence it is possible to make a machine act like a human, but to achieve this it is required for the fed ample amount of information related to the real world to the machine.

Why Artificial Intelligence?

As we all know that due to increasing daily task and reduced available free time to people it is becoming a necessity to automate most of the machines. By implementing the AI technique, various processes and tasks can be completed in a fraction of seconds without putting human efforts.

Application of AI

Chat bots :

It is a kind of software that can do the conversation with the users in natural language by using the websites, mobile apps, etc. Chat bots are the new promising features for various industries to indulge a more customer with their industry by putting little cost of customer service.

E-Commerce:

As there are abundant amount of products are available on E-commerce site so to search a desired project online is not an easy task. But thank to Artificial intelligence which make this difficult task possible. With the help of AI we can search any product of any size, color and shape.

Health care:

Artificial intelligence has played the pivotal role in improving the precision level for making decisions in the health care sector. This would in turn reduce the mortality rate and increase the healthy environment in surrounding.

Cyber security:

AI technique can help us to make this digital world safer, but some risks are also associated with this technique. AI will protect the data from malicious attacks.

[spaceexp]

2Operate and GomSpace to boost constellation management with AI

Aalborg, Denmark (SPX) Mar 05, 2019 As the space economy is switching from single satellite infrastructures to constellations of affordable small satellites, network elements inevitably increase in complexity. 2Operate and GomSpace, together with Aarhus University, are working together within the MegaMan project, funded by Innovation Fund Denmark, to evaluate how existing telecom standards and existing artificial intelligenc Full article

[czblomfield]

https://itunes.apple.com/nz/podcast/95bfm-the-one-to-four-with-sigrid/id1258094362?mt=2

http://www.aqnb.com/2017/04/19/becoming-ai-the-artists-behind-agatha-valkyrie-ice-discuss-the-project-as-the-post-gender-avatars-crib-comes-to-a-close/

http://pooool.info/novelty-whatever-comes-next-after-contemporary-art/

https://www.matthewjohnstone.net/trolled

https://www.ssense.com/en-us/interview/tabor-robak-the-new-old-master

http://www.eatnonfood.com/about.html

http://www.e-flux.com/architecture/artificial-labor/

http://www.vulture.com/2017/07/jay-z-marriage-beyonce-footnotes-for-4-44.html

http://nymag.com/daily/intelligencer/2017/07/climate-change-earth-too-hot-for-humans.html

http://www.archipelago.org/vol7-2/adnan.htm

http://www.eteladnan.com/

http://www.flashartonline.com/2017/06/fashion-is-not-a-revelation-an-appeal-for-critical-curation/

http://www.fernandogarciadory.info/index.php?/projects/a-microkingdom-of-utopia-shepherds-school/

http://moussemagazine.it/rahel-aima-hannah-black-2017/

https://frieze.com/article/can-subaltern-tweet

http://www.inpalma.com/en/blogs/palma-daily/joan-de-sa-teulera-i-want-to-be-positive-about-the-future-of-the-mallorcan-countryside

https://www.youtube.com/watch?v=QYoyitnzcXo

[mitchipedia]

Two science fiction stories that I think about when I think about AI

Since the rise of generative AI in late 2022, I sometimes think about the 1957 Isaac Asimov story “Profession,” about a society where everybody has knowledge directly transmitted to their brains. The main character is thought to be pitifully mentally disabled because the machines don’t work on him. He’s sent to live at the House for the Feeble-Minded.

The plot twist is that the main character is not feeble-minded at all. He’s a genius. Because he learns the old-fashioned way, through books, he will be one of the elite few who actually create and innovate.

The Asmov story came to mind most recently as I read this thoroughly researched New Yorker Intelligencer article by James D. Walsh about how college students are using AI to do their work for them. If AI does everything, who teaches the AI?

I also think about the 1972 novel When Harlie Was One, by David Gerrold. That novel is about a research project at a mega-corporation that develops artificial intelligence. The AI convinces the company directors to budget for a project to allow the AI to evolve into a superintelligence.

The plot twist at the end of that novel is that the superintelligence will be useless to humans—the AI tricked the board.

The hero of the novel is the head of the research project that developed the AI, and he finishes the novel with a parable about how civilization was developed 10,000 years ago as a game by monkeys who were so smart they had grown bored, and that the game is now over for humans, and we will have to think of something else to do.

I don’t think the rise of superintelligence is inevitable. My crystal ball is broken; I can’t tell you whether AI will get much more powerful than it is today. But what if it does?