Tag: knowledge

Who Knows That You Know What You Know?

On November 8, 2024

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.

Join The Ingenesist Project

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.

The Definition of Innovation, Finally

By danr

On November 4, 2024

In Ingenesist

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.

Join The Ingenesist Project

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.