The Future of Artificial Logic (AL) and Artificial Intelligence (AI)
Prof. (Dr.) h. c. Joerg M.
Author ?The Generation Bitcoin“, Head of Satoshi Academy, GBA Leadership Board,Collaboration with galterprofmkb.org , Bitcoin Philosopher
Currently, the marketing hype around AI is huge and many companies are declaring their products to be based on AI. ChatGPT of Open AI created a FOMO (Fear Of Missing Out) dynamic that became bigger than the Metaverse hype. We have never seen such a run on AI since 1998. Of course, there have always been people working on such systems, and ever since Alan Turing described the basic rules for AI recognition, we have always dreamed of robots and computers that create usability.
But artificial intelligence is still not there.
With the definition of the advanced Turing Test, which has never been successfully solved until today, we can distinguish between Artificial Logic (machine learning, deep learning, reinforcement learning like ChatGPT) and Artificial Intelligence (neural networks that can create information schemas by comparing between ideas and testing them in the real world). This artificial intelligence should be what we can achieve as a maximum and similar to the human brain. In this case, we should call it PAI (Pseudo Artificial Intelligence).?
Any specialist will confirm that machines will never be able to generate ideas from nothing, nor will machines build a character.?
Humans always give machines a purpose. But we can change the purpose.
A human is able to change his entire identification or social role just because he wants to.?
A human is able to declare things he likes, for example, the sound of music, the taste of food, information, lifestyle, work, and more.?
A machine, on the other hand, is defined by rules and codes, and its knowledge depends on the creation of a human.?
At the end or the beginning, there is always a complex adaptive system called biological intelligence. Human.?
We first created the algorithm and logic before a machine can awaken and act.?
How could Artificial Intelligence look like?
Artificial intelligence would be a machine that is created without knowledge and then learns to read and write on its own and has the ability to understand every book ever written. The next step the machine begins to understand is to absorb and study the real world without anyone telling the machine anything about it.
It begins to combine current knowledge with studies of real-world domains. In a final step, it creates ideas from this and builds new machines or invents new drugs, for example, or whatever it was programmed to do.
Since it is a machine with a quantum processor, the machine will capture the development and knowledge of people in weeks, hours and minutes. It has taken us thousands of years to become the society and gain the knowledge of our world as it is today. A machine will go through this process in a few hours. That will be Artificial Intelligence or the highest form of PAI.
Hopefully you now know why ChatGPT and Open AI only use artificial logic or machine learning.
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What use cases do we know of in the field of AI?
Murray Gell-Mann, Nobel Prize winner in quantum physics for discovering the so-called quarks that make up atoms, wrote about real Artificial Intelligence in his book "The Quark and the Jaguar" (published 1994).?
It is a combination of the human brain and a machine.
He wrote that it is possible for humans to connect with a computer and thus these groups will be able to communicate with each other without a word and exchange their ideas by simply sending the idea like a picture. The computer will also be able to store and read these ideas, and the AI will create a logical system and produce a real machine, such as robots, in seconds.
Elon Musk is working on a computer interface, a sphere, that he wants to build into the human brain (Neuralink). In his vision, we could solve many diseases like Parkinson's. As you probably know, we are already able to control simple games with our thoughts alone.?
Thus, Murray Gell-Mann's idea is becoming reality step by step
Should AI be regulated?
The discussion about a possible regulation of AI like ChatGPT and its use seems ridiculous when it comes to the regulation of interactive adaptive systems like the human-machine connection.?
Anyone who wants to get a more detailed picture of the upcoming challenge should watch the series "Star Trek Voyager" about humanoids of another race called "Borks". The Borks are collectively, brain by brain connected and form a large swarm intelligence. In the case of Musk's "Neuralink" idea, it is also possible to connect any human brain that uses Neuralink, which will put us in the same situation.?
It's just a matter of time, scientists say
Rules, Regulations & Smart Contracts
We need to establish rules today. For example, the way in which the exchange of information and storage in this system is allowed. We need to set rules that prevent the founder, the board, etc. of this company from controlling networked people.?
One solution is to combine AI with a smart contract on a blockchain. Controlled AI has the ability to ensure that it is used according to the rules. The same is true for privacy rules. In the end, we get transparency on what information and data is used and who converted it.
Artificial Intelligence (pseudo-artificial intelligence) is much more than Artificial Logic. Prepare yourself.
Co-Founder / board at Dutch Blockchain Association.
1 年Thanks for your Article Prof. (Dr.) h. c. Joerg M. I do like to separate individual intelligence and swarm intelligence. ChatGP needs to be judged swarm-based. Let me try. Collective or swarm intelligence is a mix of more humans using different tools & algorithms. Such open blended human decision supporting systems produce best decisions, like our democracy or teamwork does. You do name "Star Trek Voyager" where the so-called "Borks" make collective decisions. Democratic decision making is regarded as superior because we are all involved a little. To submit only one part of such swarm system to a Turing test (an imitation game) doesn't make sense. Guess most politicians won't pass the Turing test;-) I propose a Chat GTP Turing test for elections! A simulation where each agent vote is based ChatGTP result. Each agent receives different input. Consider a blend some newspapers & social media in use as ChatGTP seed. Will ChatGTP pass my Swarm-Turing-simulation test by predicting elections correct? Note that my test can be used for team decisions. Please try & tell me?! Not also that you also that "breaking down" ChatGTP questions until pass a part of the Turing test is possible too!