"The statement of first principles comes before the development of any solutions", by Grant Renier
"Important is the human perspective and cognitive strategies", by Howard Rankin, PhD
"Both IntualityAI and Musk are playing for a tie", by Michael Hentschel
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TRADING PERFORMANCE RESULTS OF THE INTUALITYAI SYSTEM HAVE MANY INHERENT LIMITATIONS. NO REPRESENTATION IS BEING MADE THAT ANY ACCOUNT WILL OR IS LIKELY TO ACHIEVE PROFITS OR LOSSES SIMILAR TO THOSE SHOWN. IN FACT, THERE ARE FREQUENTLY SHARP DIFFERENCES BETWEEN REPORTED PERFORMANCE RESULTS AND RESULTS SUBSEQUENTLY ACHIEVED BY THE SYSTEM OR PORTFOLIO. THERE ARE NUMEROUS OTHER FACTORS RELATED TO THE MARKETS IN GENERAL OR TO THE IMPLEMENTATION OF THE SYSTEM WHICH CANNOT BE FULLY ACCOUNTED FOR IN THE PREPARATION OF REPORTED PERFORMANCE RESULTS AND ALL OF WHICH CAN ADVERSELY AFFECT ACTUAL TRADING RESULTS.
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First principles thinking is the act of boiling a process down
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First principles thinking: which is sometimes called reasoning from first principles, is one of the most effective strategies you can employ for breaking down complicated problems and generating original solutions. It also might be the single best approach to teach AI how to think for itself.
Musk used first principles thinking: to break the situation down to the fundamentals, bypass the high prices of the aerospace industry, and create a more effective solution. First principles thinking is the act of boiling a process down to the fundamental parts that you know are true and building up from there.
The statement of first principles: comes before the development of any solutions. Musk correctly states,
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“Physics teaches you to reason from first principles rather than by analogy. So I said, okay, let’s look at the first principles. What is a rocket made of?" This was the process followed in the development of IntualityAI. The development of application-specific algorithms was resulting in some temporarily successful computer solutions. But as the complexity of the application introduced new and unique data events, the algorithms needed constant tweaking or replacement. We were trying to predict the tail and not the dog. We had to understand the behavior of the dog in all circumstances.
We established first principles: for the development of an artificial general intelligence. What we now call humanized AI.
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- Our reality is a product of human behavior
- AI must simulate human behavior to predict future realities
- AI predictions must use bias-driven intuitive strategies for decision-making
- AI must predict across sectors with consistent logic to be successful
- AI must use human cognitive state processing of relevant input data
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IntualityAI was development on this foundation: statements that are under continuous debate, but have been the launching point for the commercialization of this science. Research is continuing on its improvement within these principles. We're trying to improve when the dog barks and wags its tail.
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by Grant Renier, engineering, mathematics, behavioral science, economics
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Important is the human perspective and cognitive strategies
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One of the major challenges: of addressing any problem is to avoid binary thinking that reduces complex situations to an often absurd simplicity. When it comes to analysis and prediction both machines and humans have a lot to offer. However, it is easy to slip into binary thinking and believe that machines and humans are in competition. They are not, despite what you may have heard about the amazing computer power of AI and/or the intuitive brilliance of humans.
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The reality is that facts, in the form of data, are unquestionably important: and thus technological data processing is necessary. However, equally important is the human perspective and cognitive strategies, that go beyond facts and use other faculties like intuition.
As you will read in a few months in my new book, The Bletchley Park Mystery: in which Sherlock Holmes takes on AI in the attempt to solve a dastardly mystery at the height of an international crisis, machines and humans can potentially work together. In fact, in one way or another, they always have as , for example, in the programming and choice of learning that humans impose on their smart machines. Nowhere is this amalgamation of machine and human intelligence more evident than in IntualityAI. Our humanized artificial intelligence is essential for humans, because we have brains that can only see the world in certain ways. This is self-evident, because if a human sees something, it is by definition, a function of their humanity. Similarly, MartianAI needs to be constructed in ways that make sense to Martians, and are thus dependent on Martian neurophysiology. The human brain has limits that influence what is possible and comprehensible. Martians do, too.
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by Howard Rankin PhD, psychology and cognitive neuroscience
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Both IntualityAI and Musk are playing for a tie
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We use big words: whose importance is not yet widely understood. In order to put IntualityAI on the map in the near future, including the AI4 Conference in Vegas in August, our messaging needs to be direct and effective. At the same time, we are introducing complex vocabulary at a time of rapid change in human intelligence and machine intelligence. For the moment, the two are in a competitive game to co-exist. But there should be no winner: the primary objective is to succeed together. We are in essence playing for a tie.
Our strategy seeks superior monetization: through mutual success, teaching AI how humans make decisions. This involves human cognitive perceptions, something machines alone would struggle with, but which make for better decisions suited for a human world.
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Machine cognition of real world data: makes an equally essential contribution. Together, the combination of human and machine realities creates IntualityAI’s “Intuitive Rationality” platform to optimize decision-making in predictive analytics of a continual stream of future opportunities.
Elon Musk's fears and believes: that AI’s will advance so rapidly once fully empowered and loosed upon the earth that humankind will become disposable. We will not survive without following up with our AI creation, by joining the effort and maintaining control.
IntualityAI’s approach is part of the same concept: machines are not going to be fully effective for the human world until they understand how humans make decisions. In recognizing now that combining human and machine intelligence jointly creates our future reality, IntualityAI is at the forefront of general AI logic that can contribute on every application level to greater success.
To leave that task to machines is short-sighted folly: It’s equal folly to leave decisions only to humans not enhanced with AI data capabilities and instant knowledge accelerating our minds. Coexistence cannot be isolated competition, it should be a process of mutual mind-melding for the types of intuitive and fact-based decisions that are before all of us. Both IntualityAI and Musk are playing for a tie. Therein lies wisdom, hopefully.
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by Michael Hentschel, anthropologist, economist, venture capitalist
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