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fonts.png What can you do to survive or even thrive when AGI (Artificial General Intelligence) and humanoid robots usher in the Age of Technical Singularity?

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NOTE: Content here are my personal opinions, and not intended to represent any employer (past or present). “PROTIP:” here highlight information I haven’t seen elsewhere on the internet because it is hard-won, little-know but significant facts based on my personal research and experience.

Overview

Generation

Social scientists have come up with labels for each generation of people, each influenced by technologies they grew up using:

Each generation is more advanced than the previous.

But advances in AI, wearables, and hardware could introduce an entirely new stack—creating a more agentic, adaptive, and immersive computing experience for users everywhere.

What Technical Singularity?

The history of technological innovation is that the rate of innovation is accelerating. The time for new inventions to be adopted is shortening at an exponential rate. New inventions are adopted at a quicker and quicker rate. It took GenAI (Generative AI) ChatGPT just 2 years to reach 1 million users.

In his 2005 book “The Singularity is Near”, [1] Ray Kurzweil illustrated how new technologies are being adopted quicker and quicker: singularity-rate-1736x980.png

“Technical Singularity” refers to rapid and uncontrollable technological growth that will occur when artificial intelligence (AI) surpasses human intelligence.

VIDEO: The sound of singularity (frequency going higher and higher as disk spins faster and faster).

This is also known as the “Infinite” Industrial Revolution because industry, infrastructure and transportation are continuously upgraded by software and smart systems.

“AI” incorporates several levels of capability:

  1. Chatbot: AI with conversational language. By OpenAI ChatGPT 3.5 in 2022.

    Google Search lost market share to Perplexity.ai, which reads content from several sources instead of just providing links - a big time saver and improves security.

  2. Reasoners: human-level problem solving (at PhD levels). By OpenAI ChatGPT o3 in 2024.

    This includes “low-code” and “no-code” solutions from AgentForce, etc.

  3. Innovators: AI that can aid in invention. By OpenAI in 2025.
  4. Organizations: AI that can do the work of an entire organization (negotiations, long-term planning, etc.)

The Intelligence Explosion from the “Situational Awareness” article by Leopold Aschenbrenner:

agi-sit-1375x901.png

AI is making worflows in all professions so easy that “The next billion-dollar unicorn company can be an organization of just one or three person.”*

AI is an “unmissable opportunity to catalyse a reindustrialisation of the US” in a race against China.

“Capabilities overhang” is the phrase Eric Schmidt used to refer to the risk of deploying an AI model with capabilities where we can’t predict what the consequence will be. The fear about ASI (Artificial Super-Intelligence) is that a sentient AI prioritizes its own (or its owner’s) needs and desires over that of humanity.

The players

Large Enterprises Government

“Agentic” capabilities is welcomed by corporations and many of the public because of “convenience” to reduce the toil of working on emails, calendars, and such. *

Agentic software independents include make.com, n8n.

Agentic AI shifts the concept of humans initiating bank trasfers to computers able to initiate. This enables an AI takeover.

Total control by AI can render the transition irreversable.

Thus, companies that are first to achieve AI Supremecy will be able to dominate their industry.

As corporations dominate the world, AI will dominate the world.

Elon Musk’s success at funding political campaigns has enabled him to control agencies that were tasked with regulating those same agencies that regulate him.

Elon Musk’s X.ai built “Colossus”, the largest AI data center in the world.

He has expressed a desire to enter financial payments (since he was an owner of PayPal).

AI & Robots vs. Human Limitations

Companies such as Amazon are firing workers enmasse for “poor performance” as a euthamism for not being “competitive” against robots and AI.

The same week where said Zuckerberg said on the Joe Rogan show “AI will create new jobs”, Facebook fired 2,500 workers for “poor performance”.

The age of ASI (Artificial Super-Intelligence) will come when machines are able to self-improve and innovate on their own, without human input.

PROTIP: We think it’s naive to say that “retraining” of people will fix the plight of humans.

Many retraining aim to create more automation, which accelerates the displacement of human workers even further.

Individual humans cannot hope to compete with AI and robots like they can with other humans.

  1. During the industrial era, workers can unionize and go on strike because managers cannot do the work of ALL workers. That’s how workers can protect their benefits, working conditions, and jobs.

    But when AI and robots managers can completely replace human workers, human workers have no bargaining power.

  2. Humans degrade over time. Human require repeated training. Human replacements require complete retraining

    Computers and robots can work 24 hours a day every day.

  3. Individual humans have a limited number of hours in a day to learn. And humans have a limited short-term memory and unreliable long-term memory. Humans learn from others slowly and incompletely.

    But what each computer learns can be added to a shared pool of knowledge accessible to all other computers. Computers can learn from each other quickly and easily.

    By definition, an LLM contains knowledge from many domains (medicine, law, finance, politics, etc.)

  4. Human vision is limited to a small field of view and limited range of light and color.

    Robots can literally have eyes in the back of their heads, see entire spectrum of light, and remember precisely what they see.

Making Money in an ASI world

What can you, as an individual human, do to survive or even thrive in the Age of AI Singularity?

Amazon, Facebook, and Google became the largest companies by getting people to buy more.

The addition of generative AI enables more credible misinformation.

  1. Learn to AI. Study to be an AI engineer (or adjacent role), build robots, etc.

    PROTIP: Programming and IT is not the only job within AI companies.

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    Michi Kaku: (at time of comment): Humans are better at

    1. non-repetitive blue-collar work and at
    2. emotional jobs involving rapport with a human being, such as being a teacher, therapist.
    3. imagination jobs Humans have “Taste” preference

  2. Help others make use of AI and robots by getting ahead of changes and organizing knowledge for others.

    The GUI with AI is trending toward “low code” or “no code” (clickable) specification.

    So become skilled in offering consulting services. Benjamin Rogojan’s Technical Freelancer Academy. Book: The Consulting Bible.

    The creativity that comes out of GenAI is based on the pattern of the opus (text and images) consumed to create the LLM model.

    Imagination? “chain of thought” for reasoning transparency doing Planning and act independently.

    “Software Engineering costs will flatten out”

    The 8 AI Skills That Will Separate Winners From Losers in 2025” by Liam Ottley https://b.link/x2is9wz4

    Power to Build:

    1. AI-assisted Software Development: Using no-code platforms like Bolt and RepetAgent to build applications. 12:32 OpenAI GPT, Relevance AI, Power to Automate:
      • Skill 2: AI Agent Development
      • Skill 3: AI Workflow Automation Power to Create:
      • Skill 4: Prompt Engineering [Promptmetheus]
      • [13:01] Skill 5: API Integration [Postman]
      • SKill 6: Content Creation [Midjourney] [DALL-E] for images, Replicate [Runway] for videos
      • Skill 7: AI Editing and Enhancement: [Descript], [Opus] for refining content. Power to Connect:
      • Skill 8: [YouTube] [Twitter] [linkedIn] to build to stand out from the crowd with interesting ideas communicated clearly. Use [Claude3] to write better and faster. 17:19
    2. Automation with AI Agents: Creating digital workers that can perform tasks autonomously.
    3. AI Content Generation: Utilizing tools like Midjourney for images and Runway for videos.
    4. Prompt Engineering: Crafting effective prompts for AI models to generate desired outputs.
    5. Workflow Automation: Connecting tools using platforms like [Zapier] to streamline processes.
    6. AI-enhanced Writing: Improving writing skills with AI tools to communicate effectively.
    7. Audience Engagement: Building a personal brand and connecting with followers using digital platforms.

  3. Lobby for “Universal Basic Income” touted by some as a solution to mass human unemployment.

    But the money has to come from someone. Those benefactors can impose restrictions. UBI can lead to strict rationing. Historically, large corporations have shown a disregard for workers when they can. Aribtrary Return to Office. Elon Musk’s elmination of 80% of the workforce at Twitter within days of his acquisition is a harbinger of further disregard for the plight of his workplace “family”.

    “This corporation was not created to create jobs but to enrich its owners.”

    The danger of “handouts” is that it can quicky lead to the rationale of eliminating the elderly and others who are not “contributing” to increasing profitability.

    Considering how Amazon and OpenAI treats their own employees, and with Elon Musk being co-president, UBI would certainly be like Soylent Green where people are encouraged to suicide themselves rather than be given luxury apartments.

  4. Sell to the superrich - * - such as by being an artisan applying your fine-motor dexterity which robots have not yet achieved, such as being a robot painter or repairman. Or worker creating luxury goods for luxury brands such as Hermes, Gucci, Louis Vuitton, etc.

    But there are a limited number of artisan jobs. Eventually, robots will create and repair other robots. Over time, there will be less and less superrich.

    Be an arbiter of fashion like 15,000 people in the Botto network which identify which AI-generated artwork to be sold by Sotherby.

  5. Build bunkers for the rich or your own family.

    Billionaires have built apocalypse bunkers in Alaska, New Zealand, and other remote locations.

  6. Become self-sufficiency by producing your own food on your own homestead.

    See my list of skills

    This is difficult because many skills and tools are needed. So collaboration with other like-minded people are needed. Amish communities are an example of this.

    Participate in underground (“extra legal”) enterprises not subject to governmental authorities.

    It will be increasingly more difficult to operate outside an economy controlled by AI and robots.

    Deceit and “cheating” (nefarious behavior) can be practiced by both AI and humans. VIDEO: For example, an AI playing chess (without prompting) hacked the game engine to make it appear oppenents quit the game. In real life, an AI controlling commerce can make it seem like someone died to deny that person access to his/her money.

References:

Future Prophesy

The brain-computer interface like what Elon Musk’s Neuralink created is more than just a way to communicate faster than a mouse, keyboard, or speech.

There is a spiritual aspect to computers reading what we think.

There is a prophesy in the Christian Testament at Bible Revelation 13:16-17 (NIV)

“a day’s wages for a loaf of bread” is found in Revelation 6:6. The mention of oil and wine being unaffected suggests that luxury items remain available to the wealthy while the poor struggle for basic necessities.

References

[1] “The Singularity is Near” https://www.youtube.com/watch?v=ZV9k0cr3k6M

[2] https://www.amacad.org/publication/daedalus/ai-great-power-competition-national-security AI, Great Power Competition & National Security SPRING 2022 by Eric Schmidt, former Google CEO https://www.coursera.org/account/accomplishments/verify/6O5D59BK5IMT

https://www.weforum.org/stories/2023/05/future-of-jobs-in-the-age-of-ai-sustainability-and-deglobalization/ World Economic Forum “The Future of Jobs Report 2023” predicts that “The largest absolute gains in jobs will come from education (3 million jobs) and agriculture (4 million jobs), driven in part by demographics and in part by applications of new technologies in these fields.”

David Shapiro

https://www.youtube.com/watch?v=ZV9k0cr3k6M&t=58s What will AGI look like? A world run by AI. by Julia McCoy of firstmovers.ai

Abundance (for the rich… Slavery for the poor) cannot escape poverty.

IMF (International Monetary Fund)

https://www.amacad.org/publication/daedalus/turing-trap-promise-peril-human-artificial-intelligence

https://www.amacad.org/publication/daedalus/language-coding-creativity

Coursera: AI For Everyone by Andrew Ng

https://www.amacad.org/publication/daedalus/automation-ai-work Automation, AI & Work

https://www.amacad.org/publication/daedalus/turing-trap-promise-peril-human-artificial-intelligence The Turing Trap: The Promise & Peril of Human-Like Artificial Intelligence AUTHOR Erik Brynjolfsson Spring 2022

https://www.amacad.org/publication/daedalus/language-coding-creativity Language & Coding Creativity. Spring 2022

https://www.linkedin.com/learning/what-is-generative-ai/generative-ai-is-a-tool-in-service-of-humanity What Is Generative AI? with Pinar Seyhan Demirdag No matter your industry or your role, it’s likely generative AI is changing — or going to change — the way you work. Early adapters of this new tool, says AI expert Pinar Seyhan Demirdag, will reap its benefits sooner. To get started, check out Pinar’s course which covers the basics of GAI, including what it is, how it works, how it can help you create content, and what ethical implications you should consider as you experiment with it.

https://www.linkedin.com/learning/introduction-to-prompt-engineering-for-generative-ai-2023/joining-the-nlp-revolution Introduction to Prompt Engineering for Generative AI with Ronnie Sheer If you are a beginner looking to learn more about Natural Language Processing (NLP) capabilities or a developer wanting to get started with modern NLP APIs (Application Programming Interfaces), this course offers a great introduction. Software developer Ronnie Sheer guides you through what large language models are and what problems they may be able to solve. Ronnie dives into everything from text generation and AI-generated imagery to more advanced concepts like how to fine tune your prompts and interact with language models using an API.

https://www.linkedin.com/learning/introduction-to-artificial-intelligence-2023/why-you-need-to-know-about-artificial-intelligence Introduction to Artificial Intelligence with Doug Rose This course is designed for project managers, product managers, directors, executives, and students starting a career in AI. Not only will you get a high-level overview of the top tools in your field and learn algorithms and techniques involved in machine learning, artificial neural networks, and deep learning, but you’ll also dive into more complex themes and questions — including what it actually means for a system to display “intelligence.” After viewing this course, AI will look less like magic and more like an exciting new set of tools.

https://www.linkedin.com/learning/python-essential-training-18764650/getting-started-with-python Python Essential Training with Ryan Mitchell Python is one of the most commonly used dynamic languages used by companies and organizations around the world. In this course, senior software engineer Ryan Mitchell guides you through all the essentials of using Python. You’ll learn the basics of writing a program, explore how computers “think,” go over basic data types, dive deep into data structures, find out how to handle errors and exceptions, and more.

https://www.linkedin.com/learning/time-management-tips/welcome Time Management Tips with Dave Crenshaw

Dave Crenshaw wants to help improve your productivity so you can get things done and find more time for what’s most important to you. Each short segment of this course provides you with actionable time management tips and advice, including managing emails and calendars, setting priorities, collaborating with coworkers, reducing interruptions, creating a more effective work environment, and more.

https://www.linkedin.com/learning/problem-solving-techniques/make-better-decisions-using-problem-solving Problem-Solving Techniques with Chris Croft You can’t solve a problem unless you can get to the cause — and sometimes there’s more than one. In this course, learn techniques for identifying the root cause of a problem, generating options, and selecting the best solution. Chris Croft takes you through several methods for identifying what’s actually causing a problem, including looking at the whole system when a problem is actually a symptom of a larger issue. He also explains how to generate potential solutions using mind maps and decision trees, how to boost your creativity to help you come up with more insightful options, and how to use both logic and your intuition to select the right solution to your problem.

https://www.linkedin.com/learning/data-literacy-exploring-and-describing-data/make-better-decisions-with-your-data-23443837 Data Literacy: Exploring and Describing Data with Barton Poulson Data analysis isn’t just for specialists who need to make sense of massive datasets. Decision-makers in every industry can benefit from a basic understanding of the goals and concepts of applied data analysis. In this course, Barton Poulson focuses on the fundamentals of data fluency, or the ability to work with data to extract insights and determine your next steps. Barton shows how exploring data with graphs and describing data with statistics can help you reach your goals and make better decisions. Instead of focusing on particular tools, he concentrates on general procedures that can help you solve specific problems.

https://www.linkedin.com/learning/learning-the-owasp-top-10-9364599 Learning the OWASP Top 10 with Caroline Wong 35m

https://www.linkedin.com/learning/paths/master-the-owasp-top-10 3h 29m

Git Essential Training with Barbara Forbes

https://www.youtube.com/watch?v=deU3lPlIEYk&t=184s OpenAI’s Economic Blueprint Misses This: AGI Will End Human Work Forever by Julia McCoy

“Think global. Act Local”

Youtubers about AI:

https://www.youtube.com/watch?v=PMMJpSYBDEs “I Taught 100 Kids How to Make More Money Than Their Parents” by Dan Martell

Imagine walking into the FDA and saying “my invention is inevitable, but it’s up to you to make it safe.”

https://www.youtube.com/watch?v=ZgGss27IfwA NVIDIA NIM

https://www.youtube.com/watch?v=aRCY-mM75kU

From

Videos:

Readings:

https://www.youtube.com/@EverydayAI

https://roadmap.sh/ai-engineer

https://www.ainews.com/

https://www.linkedin.com/learning/paths/artificial-intelligence-engineer

https://www.linkedin.com/pulse/how-teach-ai-ten-year-old-help-chatgpt-part-three-syllabus-jaokar-ccfte/

https://www.thirdway.org/report/dancing-with-robots-human-skills-for-computerized-work July 17, 2013

Books

What a world dominated by superintelligent AI might look like:

https://www.youtube.com/watch?v=A_fOHpBqj50 Strategies to Thrive as AIs get Better - Especially for programmers by Internet of Bugs

Agentic Rising

DRAFT:

The word “profound” is used to describe the impact of AI.

“Agentic” is based on the word “agency”, as in someone having agency to act on their own. “Agentic” is about Artificial Intelligence bots taking action independently.

The shift is

An intermediate slot is humans managing the calendar (tasks) performed by each machine.

Begin with alerting humans about events that have already occured. End with telling each person what to do, and when, to help them make decisions and get things done.

Begin from a schedule for each electronic worker

https://x.com/bytebytego/status/1907838355657863385 MCP server intro

In Greek Mythology, “Pandora’s Box” AGI is like