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Observe, Measure, Predict and Repeat

Boomspace.ai (The Ingenesist Project) presents an innovative approach to converting intangible assets into more tangible forms by leveraging game theory, blockchain technology, and artificial intelligence. This solution addresses a critical challenge in modern business: the valuation and utilization of intangible assets, which often constitute a significant portion of a company’s value but are difficult to quantify and leverage.

The proposed system operates on a three-part framework: Observe, Measure, and Predict.

Observe

In the Observation phase, a game-based system of claims and validations among players creates a dynamic environment for identifying and assessing intangible assets. Players are awarded digital tokens for producing a node in the network. This gamification approach encourages participation and helps surface hidden value within organizations.

Measure

The Measurement phase utilizes blockchain technology as a robust datalogger, capturing time-value data of game transactions forming the edges of the graph. This immutable record provides a transparent and verifiable history of interactions, creating a foundation for valuing intangible assets based on their use and recognition within the system.

Predict

In the Prediction phase, a Percentile Search Engine employs artificial intelligence to analyze the recorded data and predict the likelihood of various player combinations producing novel outcomes. This predictive capability adds a forward-looking dimension to asset valuation, potentially uncovering future value that traditional methods might overlook.

Repeat

The synergy of these three components creates a virtuous circle, continuously refining the valuation and understanding of intangible assets. By providing a structured framework for identifying, measuring, and predicting the value of intangibles, the system effectively transforms them into more tangible, quantifiable assets.

Engineers In The Loop

This approach is then aligned with the imperative concept of “engineers-in-the-loop” (EITL), which emphasizes the importance of human expertise in AI-driven systems. By incorporating human judgment and consensus-building into the process, the system ensures that the valuation of intangible assets remains grounded in real-world expertise and collective intelligence.

A New Value Movement

The Boomspace.ai solution has the potential to revolutionize how businesses and organizations perceive and utilize their intangible assets. By providing a more concrete valuation mechanism, it will unlock new sources of value, drive innovation, and foster more efficient resource allocation.

This approach not only enhances transparency but also creates a collaborative environment that can lead to more robust and innovative solutions in various sectors, particularly in critical infrastructure and engineering projects.

Video Transcript:

How It Works; The Ingenesist Project

The Ingenesist Project Uses Game Theory, Blockchain, and Artificial Intelligence to convert intangible assets to a more tangible form.

Part One: Observe The game is based on a system of claims and validations among a population of players. 

Part Two: Measure Blockchain acts like a giant datalogger that captures time-value data of game transactions.

Part three: Predict The Percentile Search Engine predicts the likelihood  various combinations of players would produce novel outcomes. 

These three applications acting together create a virtuous circle that converts intangible assets into a more tangible form.

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In Search of the Future

The Economics of Search in the AI Era

In an age where artificial intelligence is poised to generate an unprecedented volume of content, we stand at the cusp of a new economic paradigm. This shift presents not just challenges, but immense opportunities for innovation and growth.

The Knowledge Economy Reimagined

At its core, economic value emerges from human interaction and collaboration. As AI proliferates, the true measure of productivity will lie in our ability to harness this technological bounty effectively. The future of search engines and information systems will be pivotal, as they evolve to become sophisticated matchmakers between knowledge surpluses and deficits.

Bridging the Gap

This intelligent matchmaking process is the cornerstone of creating real economic value. By connecting those who possess knowledge with those who seek it, we unlock the potential for:

Opportunity: New avenues for innovation and entrepreneurship

Equity: Democratized access to information and resources

Access: Breaking down barriers to entry across industries

The Currency of Innovation

In this new landscape, innovation becomes the true currency. As AI assists in content creation and interpretation, human creativity and insight will be more valuable than ever. The ability to synthesize AI-generated information into novel ideas and solutions will drive economic growth

Tangible Value from Intangible Assets

Projects like The Ingenesist are at the forefront of this economic revolution, leveraging cutting-edge technologies to transform intangible assets into tangible value. This approach not only monetizes knowledge but also creates a more dynamic and inclusive economic ecosystem.

As we embrace this AI-driven future, the essence of productivity will shift from mere output to the quality of connections and innovations we foster. The result? A more vibrant, equitable, and prosperous global economy.

A Monetary System Backed by Innovation

A monetary system backed by innovation represents a revolutionary approach to value creation in our modern economy. Unlike traditional systems anchored to physical commodities like gold or oil, or the current debt-based fiat system, an innovation-backed currency derives its worth from humanity’s capacity to solve problems and create new solutions.

Core Mechanics

The foundation of this system rests on measuring and tokenizing innovative output across society. Value is created when two or more people get together and build something useful.  In Boomspace, the single innovation unit is a node comprised of a claim and a validation of fact. Many innovation units combined may result in patents filed, research breakthroughs, or innovative solutions to problems – but it all starts and ends with validated claims of factual events. This creates a direct link between human ingenuity and monetary value.

Advantages

Economic Growth Alignment

This system naturally promotes sustainable economic growth by rewarding activities that advance human knowledge and capabilities. Rather than encouraging debt accumulation or resource extraction, it incentivizes education, research, and creative problem-solving.

Dynamic Valuation

The currency’s value appreciates as society’s innovative capacity expands, creating a naturally progressive monetary system. This stands in stark contrast to traditional commodities, which are finite and can lead to artificial scarcity.

Distributed Opportunity

Innovation-backed currency democratizes value creation, as anyone with ideas and problem-solving abilities can contribute to the monetary base. This system rewards merit and creativity rather than existing wealth or resource control.

Implementation Framework

The practical deployment would involve establishing clear metrics for measuring innovation impact, creating transparent verification systems, and developing smart contracts to automatically mint currency when verified innovations occur. Advanced AI systems could help evaluate the quality and impact of innovations, ensuring fair and objective value assessment.

This monetary system fundamentally redefines wealth as the capacity to improve the human condition. It creates a positive feedback loop where financial incentives align perfectly with societal progress, potentially ushering in an unprecedented era of human advancement and prosperity. By making innovation the backbone of our monetary system, we create an economy that naturally evolves toward greater efficiency, sustainability, and shared prosperity.

Video Transcript:

The Dividends of Innovation

Innovation is not linear  Modern civilization did not begin 10,000 years ago with 250 Trillion dollars sitting in a box somewhere in the desert.

Money was measured into existence as a function of the things that scientists, engineers, and technologists built. Innovations such as the wheel, wedge, and lever came long before the invention of International Trade Agreements Innovations in machinery, transportation and energy enabled advances in sanitation, healthcare, and computers

Yet, the wheel, wedge, and lever are more important and more widely applied than ever. Wouldn’t it make more sense if we developed a monetary system backed by the dividends of innovation rather than the gravity of debt?

The Ingenesist Project uses game theory, blockchain, and artificial intelligence to measure the true economic contribution of engineers, scientists, and technologists.

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Analysis

The Value of Consensus

The value of consensus permeates everything we do. The creation of consensus creates value. The absence of consensus destroys value. Only by securing full transparency with engineers-in-the-loop of AI systems, we can assure (and insure) public safety and sustainable economic development.

Have you ever wondered why a soccer goal has a net? The purpose of the net is to provide a visual contrast so that 50,000 observers can immediately reach a consensus that something very important has happened. 

After that, a digital token is awarded to the team that scored a goal.  The digital token also secures valuable business intelligence like game strategy, player stats, league standings, revenue, and everything else.

However,  the consensus is by far the most important part.   With the consensus, a player can make a lot of money.  Without the consensus, they are invisible.  With the consensus, the community can invest in a new stadium. Without the consensus, we can only play at the school yard. With the consensus, the economy flourishes. Without the consensus, it fails. 

Lots of crypto projects have these same pieces. But mostly, they are mixed up.  The Ingenesist Project uses Game Theory, Blockchain, and Artificial Intelligence to secure community consensus.

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Engineers In The Loop

In the rapidly evolving landscape of AI applications in engineering and infrastructure, the humans-in-the-loop (HITL) approach, particularly engineers-in-the-loop (EITL), has emerged as a critical factor for success. As we navigate this new terrain, the value of consensus becomes increasingly apparent in prioritizing projects and eliminating “the tragedy of the commons”.

Transparency strengthens consensus

Consensus in EITL serves as a powerful tool for ensuring transparency and fairness. By involving engineers directly in AI-driven decision-making processes, we create a system of checks and balances that enhances the accuracy of AI applications and helps identify potential biases. This collaborative approach generates immense value by fostering an environment where diverse perspectives lead to more robust and innovative solutions.

Reducing unethical practices

In infrastructure projects, where stakes are high and societal impact significant, consensus-driven prioritization ensures resources are allocated to initiatives offering the greatest benefit to communities. Moreover, this approach acts as a deterrent to corruption. When decisions are made collectively, with input from both human experts and AI systems, opportunities for unethical practices are significantly reduced.

Competition requires collaboration

Ironically, while competition often drives innovation, it ultimately relies on collaboration to succeed. The absence of consensus can destroy value, leading to fragmented efforts, uninsurability, and suboptimal results. Conversely, when consensus is achieved, it creates a synergy that propels projects forward, driving economic growth, technological advancement and increase in money supply.

Knowledge Asset Allocation

As we integrate AI into critical infrastructure sectors, the importance of EITL and consensus-building cannot be overstated. By providing a framework for engineers to seamlessly integrate with AI processes, we ensure that the right knowledge reaches the right place at the right time, with unprecedented speed and scale.

The Value of Consensus

In conclusion, the value of consensus in AI-driven engineering and infrastructure development is immeasurable. It enhances project effectiveness, safeguards against corruption, fosters innovation, and ultimately drives sustainable economic growth.

A Massive New Asset Class

The hidden economy of risk mitigation represents one of the largest untapped asset classes in modern finance. This revelation becomes particularly striking when we examine how value is created but not properly captured in our current economic system.

The Invisible Value Creator

Engineers, scientists, and technologists consistently generate massive economic value through risk prevention and mitigation, yet this value remains largely invisible in traditional financial metrics

Consider a fire protection engineer who designs thousands of buildings that never burn – their contribution to society far exceeds their compensation, creating an enormous gap between value creation and value capture.

Converting Intangible to Tangible

The key to unlocking this massive new asset class lies in our ability to measure and monetize risk prevention. When we can quantify the value of disasters that never happened, we can begin to properly value the intellectual capital that prevents them. This creates an entirely new financial framework where:

Risk Prevention Becomes Measurable
The true economic impact of preventative measures can be calculated and converted into tangible assets.

Knowledge Workers Gain Recognition
Engineers, scientists, and technologists can receive compensation more closely aligned with their actual value contribution.

Market Inefficiencies Surface
The current system’s dramatic undervaluation of preventative expertise becomes apparent and correctable.

Economic Implications

This transformation has profound implications for the global economy. Currently, technical professionals typically receive only 2-20% of the value they create

By properly measuring and monetizing risk prevention, we can:

  • Create new financial instruments based on risk mitigation
  • Develop more accurate valuation models for intellectual capital
  • Enable fair compensation for knowledge workers

The current economic system captures this value through banking arbitrage, but a more equitable distribution would drive innovation and attract more talent to critical fields. This represents not just an opportunity for wealth creation, but a necessary evolution in how we value and compensate intellectual capital.

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Rewrite

An Invisible Economy: The Ingenesist Project

A firefighter is worth millions of dollars per hour preserving lives and property…but only when there is a fire. A Fire Protection Engineer can design thousands of buildings that will never burn.

In the absence of a fire, the true value of the Scientists, Engineers, and Technologists is invisible. But the value of their economic contribution continues to persist.

What if we could measure the true value of intangible assets into present value existence. A massive new asset class would be unlocked.

The Ingenesist Project uses Game Theory, Blockchain, and Artificial Intelligence to convert intangible assets into tangible form, at scale. There is no shortage of money, only a shortage of imagination.

Join The Ingenesist Project

Analysis

The purpose of this video is to demonstrate how engineers, scientists, and technologists remove RISK from complex systems. Risk is directly correlated to “return” and, therefore, profits.

So what happens to all of that value that a single diligent engineer creates when they remove all of the risk? Is it paid to the engineer? no. Is it returned to the non-victims of the calamity averted? no. Is captured by the the banking system as some form of arbitrage? Yes, absolutely, yes.

This is the deep dark secrets of finance. Don’t let the engineers, scientists, and technologists know that they are paid 2-20% of what they are worth. They may want free stuff like healthcare, job security, or royalties, or else they’ll go build something else that pays better social dividends. Can’t have that.

Obviously the question becomes, what happens when there are no more engineers to eliminate risk? There is a tipping point and we are dangerously close to approaching it. These things are easy to measure, assess, and resolve but there needs to be an institution able to secure material facts and assert the economics of those facts.

When The Intangible Become Tangible

Historically, tangible assets were characterized as easy to measure and intangible assets were characterized as difficult to measure.

Recently, tools have emerged that make intangible assets less difficult to measure.

The question arises, at what point does an intangible asset become tangible?

The answer is simple:

When collaboration becomes more profitable than competition.

This may be the most consequential evolution in modern human history.

The Ingenesist Project uses game theory, blockchain, and artificial intelligence to convert intangible assets to a more tangible form.

Join The Ingenesist Project

Who Knows That You Know What You Know?

Bridging Art and Science

The parallel between artists and scientists runs deeper than most realize. Both domains are fundamentally creative enterprises driven by knowledge assets and intellectual capital. Just as filmmakers collaborate to create cinematic masterpieces, engineers and scientists work together to build bridges, develop software, and advance technological frontiers.

Knowledge Attribution Systems

Hollywood’s rolling credits serve as an example of an elegant public knowledge inventory system, enabling creative professionals to find collaborators and track contributions. In contrast, the scientific and engineering communities often struggle with attribution, peer-review, and cross-industry practices making it challenging to identify, compensate, and repeat specific contributions behind groundbreaking innovations or structural achievements.

Compensation Reform

The current disparity in compensation models between these fields reveals an opportunity for improvement. While artists often benefit from royalty-based systems that recognize ongoing value creation, engineers and scientists typically receive hourly wages that may not reflect their long-term intellectual contributions. While the Patent System may capture some IP value, it is far too slow, expensive, and prone to obsolescence to meet the profound challenges of the future. The vast majority of creative talent is not reflected by the Patent System.

Idea compensation:

An ideal compensation structure for engineers, scientists, and technologists might include:

Base salary: Ensuring financial stability and covering living expenses.

Project-based bonuses: Rewarding successful completion of specific works or research milestones.

Royalties or profit-sharing: Providing ongoing compensation for widely-used or impactful creations.

Equity stakes: Offering ownership in the organizations benefiting from their work.

Recognition credits: Implementing a system of immutable credits to document contributions and facilitate future collaborations.

Professional development funds: Supporting continued learning and skill enhancement.

The Boomspace.ai algorithm can easily be programmed to allocate Boom tokens along all of these scenarios. Those tokens would store information (not unlike the rolling credits) so that true value may be expressed in the market. This hybrid model would better reflect the true nature of creative and technical work, where value often compounds over time.

A Knowledge Inventory System; The Ingenesist Project

Have you ever wondered why the credits at the end of a movie are printed so small and scroll by so fast? The credits are not there for your benefit. The credits exist for the benefit of the movie industry.

Film production is a highly intellectual, creative, and social enterprise. In other words, Hollywood is denominated by knowledge assets.   The rolling credits serve as a knowledge asset inventory system for all things needed to make the next movie.

Everything revolves around being on the credits or being known by people on the credits. This is how people find each other.  The rolling credits make this possible. Not unlike a blockchain, in order to cheat the system, one must alter every instance of the celluloid reel or digital file.

Engineering, science and technology are also social, creative, and intellectual industries fueled by knowledge assets. Not unlike a blockchain, engineering processes are irreversible and immutable.

When we look at a sturdy bridge, or magnificent structure, or a brilliant piece of software, there is no easy way to find the people who are responsible for a specific element of that work. The Ingenesist Project uses game theory, blockchain, and Artificial Intelligence to create a knowledge asset inventory so that Engineers, Scientists, and Technologists can find each other.

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Analysis

Engineering and science have long been compared to the Arts as a creative profession. The point of this video is to demonstrate how other creative professions deal with the intangibles gap. While the Hollywood system has its own set of pros and cons, the comparison is worthwhile. Notably, the arts often compensate creators with “royalties” while engineering, science, and technology most often pay hourly wages.

In addition, there are comparably fewer barriers, silos, or human resource management hurdles to navigate for artists. They don’t attempt to reduce a 4-dimensional performance down to a 2-dimensional CV/resumé. Instead, they can submit the 4D performance as their resumé. A great deal of efficiency is retained.

Fixing A Tiny Flaw In Market Capitalism

In modern market capitalism, we’re witnessing a fundamental shift in how value is created and measured. While classical economics focused on tangible inputs like land, labor, and capital, today’s economy increasingly derives its value from intangible human factors (inputs)

The Evolution of Economic Inputs

Traditional Model Limitations
The classical economic model from the 1700s excelled at measuring physical inputs and outputs, but failed to adequately capture human-centered contributions. As a result, economic outputs reflected this deficiency.

This created a systemic blind spot in our economic calculations.

The New Paradigm
Today’s value creation is predominantly driven by:

  • Social capital and networks
  • Creative innovation and ideation
  • Intellectual property and knowledge assets

The Innovation Paradox

A critical insight emerges: innovation drives economic growth, not the other way around

We’ve been operating under the flawed assumption that economic growth must precede technological advancement, when in fact, technological change is the prerequisite for economic expansion

Measuring the Immeasurable

Modern technology has provided us with new tools to quantify previously “invisible” assets

By converting intangible human inputs into measurable metrics, we can better align our economic outputs in a manner that supports the inputs – that is, actual value creation. This shift has profound implications for:

  • Climate change solutions
  • Social equity advancement
  • Venture capital allocation
  • Global debt management
  • Much more…..

The key to unlocking this potential lies in reconceptualizing how we measure and value human contributions to the economy. Rather than treating intangible assets as accounting footnotes, we must recognize them as primary drivers of economic value

This transformation doesn’t require dismantling existing institutions; instead, it involves adapting our measurement systems to better reflect the realities of modern value creation

Video transcript:

A Tiny Flaw. The Ingenesist Project

What if there was a tiny and nearly imperceptible flaw in Market Capitalism that could be easily corrected?

To do so would solve many of society’s most pressing needs without disrupting the institutions upon which we depend.

Technological change must always precede economic growth. We are going about the business of civilization as if economic growth must always precede technological change.

It’s like driving a car while looking through a mirror.

In other words, money is not the cause of innovation. Money is the result of innovation. The implications of this tiny flaw impacts everything from Climate Change and Social Equity to Venture Capital and Global Debt. 

It started with classical economic theory. In the 1700’s economic inputs such as Land, Labor, and Capital were easy to measure. The products that resulted from these inputs were also easy to measure.

However, in the 1700’s; social, creative, and intellectual inputs by humans were not so easy to measure. Accountants call them intangibles, but they are simply “invisibles”. 

Today, this is an easier problem to solve.  Ironically, technological Change has brought us new ways to measure intangible assets. All we need to do is convert them to a tangible form. 

The resulting economic growth will far exceed global debt because there is no such thing as “not enough money to innovate”.  Together we can correct A Tiny Flaw   

Join the Ingenesist Project.

Analysis

This is largely the initial video in the series and the first that we published. Attention should be drawn to the idea that maybe there is a tiny flaw that can be easily corrected. Instead of trying to solve every single problem that is strangling civilization as we know it, we could solve one single problem and the other problems will solve themselves.

The question becomes: are we too vested in our misery to even consider such a possibility? Are we so narcissistic to believe that our particular problem is the one that must be solved even if it worsens someone else’s problem? Are we all expecting the “other guy” to change and that will make your world work? Good luck with that.

The flaw is no tiny, so hidden, yet so obvious that it defies the imagination. All we need to do is measure ourselves differently. Who is stopping us from doing this? nobody. What law says we can’t do this? There is none. And if we do correct the flaw, who suffers? No one.

Will we do it?

The Definition of Innovation, Finally

The traditional understanding of innovation has been shrouded in ambiguity, often reduced to: “you know it when you see it”- followed with a shrug. However, by viewing innovation through the lens of knowledge acceleration, we can develop a more precise, predictive, and actionable framework for identifying transformative opportunities

Knowledge Acceleration as Innovation’s Core

Innovation can be precisely measured as the rate of change of knowledge with respect to time. This mathematical approach transforms the nebulous concept of innovation into a quantifiable metric

When we understand that each significant innovation comprises numerous smaller knowledge breakthroughs, we can better identify where true value creation occurs.

Breaking Free from Traditional Metrics

The current innovation ecosystem suffers from a fundamental flaw – it’s predominantly denominated in monetary terms. This narrow view has created a system where innovation recognition is often limited to those with significant financial backing, particularly venture capitalists

This limitation severely restricts our ability to identify, prioritize, and nurture breakthrough solutions to pressing global challenges.

A New Framework for Innovation Assessment

By focusing on measuring knowledge acceleration rather than just financial metrics, we can identify promising innovations in their earliest stages. This approach allows us to:

  • Detect emerging knowledge clusters before they become obvious investment opportunities
  • Track the velocity of knowledge development across different domains
  • Identify genuine innovation separate from market hype

Implications for Future Investment

The ability to measure innovation through knowledge acceleration provides investors with a powerful tool for portfolio optimization. Instead of relying solely on traditional metrics, investors can now evaluate opportunities based on their contribution to knowledge growth and problem-solving capacity

This framework particularly shines when addressing urgent global challenges, as it helps identify solutions that create genuine progress rather than just market value. By understanding innovation as a measurable rate of knowledge change, we can direct capital more effectively toward transformative solutions that drive sustainable progress.

An Algorithm For Innovation; The Ingenesist Project

A useful definition allows people to identify, replicate, or measure the subject being defined.  Yet the best definition we have for Innovation is basically, “You know it when you see it”.

How can we sustain our world if we cannot even define the sole instrument of change? 

Have you ever had an epiphany? That ah-ha moment that comes from deep within… …when suddenly your knowledge about something grows exponentially within a very short period of time? Let’s call that “innovation”, where one large innovation is comprised of many smaller innovations.

In order to measure innovation, all you need to do is measure the rate of change of knowledge with respect to time. You don’t need Calculus to recognize this as an algorithm for innovation … but it helps. 

If that idea doesn’t change the world, nothing will.

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Analysis

Innovation is a great mystery that does not need to be. Everyone innovates – it is necessary for survival. Yet the magic and mystique of the innovator is a cultural phenomenon that forms the foundation of tech social status. Innovation is denominated in money – if you are not flush with cash, then you are not an innovator. Only VC can be innovators due to their ability to navigate financial markets. It almost seems that the more difficult it is to identify something, greater scarcity can be assigned to it. The false impression is that with greater scarcity come greater value. Again, when we become vested in our own misery, progress grinds to a halt.

This is all quite counter productive.

The problems of the future will require innovation, creation, new ideas, and vast execution at an astonishing scale. In order to achieve true economic sustainability, we need to a metric to denominate true value, not propped up scarcity value.

It is relatively easy to create and measure where high rates of change are occurring in a community or society. It is then relatively easy to observe what innovations take place as a result. This isn’t exactly a unicorn farm, but you probably can’t have a unicorn without these conditions in the first place. It is then only a matter of memorializing these conditions in a tangible form.

How To Make Money, Literally

The video raises an intriguing perspective about the relationship between productivity and monetary value, particularly through the lens of technological advancement. Nobel Economist Robert Solow’s calculation that 80% of economic growth stems from technological advances underscores the fundamental connection between productivity improvements and economic value creation

The Productivity-Money Paradox

The current economic system faces a significant measurement problem in how it accounts for the creators of productivity gains. While GDP effectively measures the output (products), it fails to properly value the primary drivers of productivity – the engineers, scientists, and technologists who create and implement technological advances

The Hidden Value Problem

The classification of technical talent as “intangible assets” and expenses rather than investments creates a fundamental disconnect between value creation and value measurement. This accounting approach effectively conceals what could be trillions of dollars of real economic value

Rethinking Value Creation

The video suggests that by reclassifying technical talent as assets rather than expenses, we could better align our economic measurements with actual value creation. This shift would more accurately reflect how money represents productivity in the modern economy

The Technology-Productivity Link

The relationship between technology and productivity is clear – technological advancement increases our productive capacity, which in turn generates real economic value. However, our current economic frameworks fail to properly capture this relationship by treating the creators of this productivity enhancement as costs rather than investments

This misalignment between productivity creation and monetary measurement suggests a need for new economic frameworks that better reflect the true sources of value in our technology-driven economy. The proposed solution of using game theory, blockchain, and AI to convert intangible assets into tangible form represents an innovative approach to bridging this gap

The Ingenesist Project: Making Money

Nobel Economist Robert Solow calculated that 80% of economic growth is the result of advances in technology. This Makes sense. Technology makes us more productive.

However, GDP measures the products, not the producers. Engineers, Scientists, and Technologists are responsible for ideation, design, and implementation of new and improved technology.

Unfortunately, Engineers, Scientists and Technologists are classified as “intangibles” Intangibles are, in turn, classified as expenses to be minimized, not investment to be maximized.

Here’s the good news… 80% of the true global economy is simply hidden from view. Trillions upon trillions of dollars are sitting on the table waiting to be measured into existence. Can you see it?

The Ingenesist Project uses game theory, blockchain, and Artificial Intelligence to convert Intangible Assets into a tangible form.

Join The Ingenesist Project

Analysis

The purpose of this video is to synthesize the simplest interpretation of value and test that against prevailing economic principals. Engineers, scientists and technologists are treated as EXPENSES, let that sink in. If they are not assets, then they are LIABILITIES… full stop. This is a clear, present and vastly consequential flaw that must be addressed by someone somewhere.

Otherwise, if there is no institution willing or able to defend this flawed economic principal, then it is super-vulnerable to disruption. We need to maximize innovation, not minimize innovation. There needs to be a wholistic and systemic approach to solving problems in the world. We must head off global systemic risks. As clever and experienced as the VC community is, they cannot be expected to pick and choose winners and losers in the next economic paradigm.

There is far more ‘money to be made’ by shifting engineers, scientists, and technologists to the ASSET column of the global balance sheet.

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