Professor Kamuro's near-future science predictions
The Deep Learning-Based Generative AI Boom
- The Overheating of Commercialization and Productization Without Unraveling the Maze and the Pitfalls of Deep Learning -
Quantum Physicist and Brain Scientist
Visiting Professor of Quantum Physics,
California Institute of Technology
IEEE-USA Fellow
American Physical Society-USA Fellow
PhD. & Dr. Kazuto Kamuro
AERI：Artificial Evolution Research Institute
Pasadena, California
and
Xyronix Corporation
Pasadena, California
Foreword
A. Professor Kamuro's near-future science predictions, provided by CALTECH professor Kazuto Kamuro(Doctor of Engineering (D.Eng.) and Ph.D. in Quantum Physics, Semiconductor Physics, and Quantum Optics), Chief Researcher at the Artificial Evolution Research Institute (AERI, https://www.aeri-japan.com/) and Xyronix Corporation(specializing in the design of a. Neural Connection LSI, b. BCI LSI（Brain-Computer Interface LSI） (Large Scale Integrated Circuits) , and c. bio-computer semiconductor technology that directly connects bio-semiconductors, serving as neural connectors, to the brain's nerves at the nano scale, https://www.usaxyronix.com/), are based on research and development achievements in cutting-edge fields such as quantum physics, biophysics, neuroscience, artificial brain studies, intelligent biocomputing, next-generation technologies, quantum semiconductors, satellite optoelectronics, quantum optics, quantum computing science, brain computing science, nano-sized semiconductors, ultra-large-scale integration engineering, non-destructive testing, lifespan prediction engineering, ultra-short pulses, and high-power laser science.
The Artificial Evolution Research Institute (AERI) and Xyronix Corporation employ over 160 individuals with Ph.D.s in quantum brain science, quantum neurology, quantum cognitive science, molecular biology, electronic and electrical engineering, applied physics, information technology (IT), data science, communication engineering, semiconductor and materials engineering. They also have more than 190 individuals with doctoral degrees in engineering and over 230 engineers, including those specializing in software, network, and system engineering, as well as programmers, dedicated to advancing research and development.
Building on the outcomes in unexplored and extreme territories within these advanced research domains, AERI and Xyronix Corporation aim to provide opportunities for postgraduate researchers in engineering disciplines. Through achievements in areas such as the 6th generation computer, nuclear deterrence, military unmanned systems, missile defense, renewable and clean energy, climate change mitigation, environmental conservation, Green Transformation (GX), and national resilience, the primary objective is to furnish scholars with genuine opportunities for learning and discovery. The overarching goal is to transform them from 'reeds that have just begun to take a step as reeds capable of thinking' into 'reeds that think, act, and relentlessly pursue growth.' This initiative aims to impart a guiding philosophy for complete metamorphosis and to provide guidance for venturing into unexplored and extreme territories, aspiring to fulfill the role of pioneers in this new era.
B. In the cutting-edge research domain, the Artificial Evolution Research Institute (AERI) and Xyronix Corporation have made notable advancements in various fields. Some examples include:
1. AERI･HEL (Petawatt-class Ultra-High Power Terawatt-class Ultra-High Power
Femtosecond Laser)
◦ Petawatt-class ultra-high power terawatt-class ultra-short pulse laser (AERI･HEL)
2. 6th Generation Computer&Computing
◦ Consciousness-driven Bio-Computer
◦ Brain Implant Bio-Computer
3. Carbon-neutral AERI synthetic fuel chemical process
(Green Transformation (GX) technology)
◦ Production of synthetic fuel (LNG methanol) through CO₂ recovery system (DAC)
4. Green Synthetic Fuel Production Technology(Green Transformation (GX) technology)
◦ Carbon-neutral, carbon-recycling system-type AERI synthetic fuel chemical process
5. Direct Air Capture Technology (DAC)
◦ Carbon-neutral, carbon-recycling carbon dioxide circulation recovery system
6. Bio-LSI・Semiconductors
◦ Neural connection element directly connecting bio-semiconductors and brain nerves
on a nanoscale
◦ Brain LSI Chip Set, Bio-Computer LSI, BMI LSI, BCI LSI, Brain Computing LSI,
Brain Implant LSI
7. CHEGPG System (Closed Cycle Heat Exchange Power Generation System with
Thermal Regenerative Binary Engine)
◦ Power generation capability of Terawatt (TW), annual power generation of
10,000 TWh (terawatt-hour) class
◦ 1 to 0.01 yen/kWh, infinitely clean energy source, renewable energy source
8. Consciousness-Driven Generative Autonomous Robot
9. Brain Implemented Robot･Cybernetic Soldier
10. Generative Robot, Generative Android Army, Generative Android
11. High-Altitude Missile Initial Intercept System, Enemy Base Neutralization System,
Nuclear and Conventional Weapon Neutralization System, Next-Generation
Interception Laser System for ICBMs, Next-Generation Interception Laser System
for Combat Aircraft
12. Boost Phase, Mid-Course Phase, Terminal Phase Ballistic Missile Interception System
13. Volcanic Microseismic Laser Remote Sensing
14. Volcanic Eruption Prediction Technology, Eruption Precursor Detection System
15. Mega Earthquake Precursor and Prediction System
16. Laser Degradation Diagnosis, Non-Destructive Inspection System
17. Ultra-Low-Altitude Satellite, Ultra-High-Speed Moving Object
Non-Destructive Inspection System
✼••┈┈••✼••┈┈••✼••┈┈••✼••┈┈••✼••┈┈••✼••┈┈••✼
The Deep Learning-Based Generative AI Boom - The Overheating of Commercialization and Productization Without Unraveling the Maze and the Pitfalls of Deep Learning -
a. Understanding Generative Artificial Intelligence (AI) based on deep learning is still in its early stages. When purchasing products equipped with Generative AI, it is essential to bear in mind that its usefulness is limited without being swayed by companies' advertising. Generative AI can be difficult to control and may exhibit unpredictable behavior, yet companies are rushing to introduce products with Generative AI into the market. Such peculiar behavior arises due to the opaque nature of the fundamental technology of deep learning. This is one of the biggest mysteries in Generative AI.
b. The biggest mystery lies in how large-scale language models like Gemini and OpenAI's GPT-4 learn things they have not been taught. By training a language model with English mathematical problems and then teaching it French, the model can solve French mathematical problems. This ability contradicts classical statistics, which provides the most excellent explanation for the behavior of predictive models.
c. It is easy to mistake recognition arising from ignorance for intelligence. The technology of deep learning, particularly under the name Generative AI, is prone to misunderstanding. The reason language models appear intelligent is that they predict the next word in a sentence and generate prose resembling human writing. Deep learning technology is not true intelligence, and referring to it as Generative AI subtly alters expectations. Therefore, it is a misconception to treat deep learning technology as more capable than it actually is.
d. We must not fall into the trap of marketing in the industry, selling products with Generative AI, believing that deep learning models are omniscient, faithful to facts, and almost ready to perform tasks we expect. The usefulness of deep learning models is highly limited due to their unpredictability, uncontrollable biases, security vulnerabilities, and tendency to fabricate things. While deep learning models can assist human brainstorming and provide entertainment, considering their numerous malfunctions and glitches, entrusting detailed personal information or confidential data or using them in critical use cases is not advisable.
e. Scientists in the field of artificial intelligence at the Artificial Evolution Research Institute (AERI: Pasadena, California, HP: https://www.aeri-japan.com/), led by Professor Kazuto Kamuro, Chief Research Officer at the California Institute of Technology (CALTECH), are issuing a warning. The field of Generative AI research is still in its early stages. Many involved in this area liken Generative AI to the early 20th-century physics when Einstein formulated the theory of relativity. While the current focus of Generative AI research is on understanding the mechanisms underlying the behavior of deep learning models, further research is deemed necessary to comprehend the reasons behind it. It is anticipated that until we gain a better understanding of the inner workings of Generative AI, there will be an increase in exaggerated claims and instances of peculiar errors being propagated.
f. OpenAI recently announced the remarkably advanced generative model Sora, expanding the possibilities of converting text into videos. Now, Google DeepMind has introduced Genie, which provides a means of converting text into video games. Genie can take in short descriptions, hand-drawn sketches, or photos and convert them into playable video games in the style of classical 2D platformers. However, expectations for Genie's conversion speed should not be high. While the latest games typically operate at 30 to 60 frames per second, Genie's conversion speed is only one frame per second.
g. Researchers at Google DeepMind are interested not only in game generation but also in open-ended learning methods that involve throwing bots controlled by Generative AI into virtual environments to solve various tasks. This method has the potential to contribute to the development of the field of robotics.
h. Generative AI has the potential to distort copyright law. Copyright law exists to foster creative culture, and it is expected that the concept of "fair use" will be tested through legal battles between artists and AI companies.
END.
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Quantum Brain Chipset & Bio Processor (BioVLSI)
♠♠♠ Kazuto Kamuro: Professor, PhD, and Doctor of Engineering ♠♠♠
・Doctor of Engineering (D.Eng.) and Ph.D. in Quantum Physics, Semiconductor Physics, and Quantum Optics
・Quantum Physicist and Brain Scientist involved in CALTECH & AERI
・Associate Professor of Quantum Physics, California Institute of Technology（CALTECH）
・Associate Professor and Brain Scientist in Artificial Evolution Research Institute（ AERI: https://www.aeri-japan.com/ ）
・Chief Researcher at Xyronix Corporation(HP: https://www.usaxyronix.com/)
・IEEE-USA Fellow
・American Physical Society Fellow
・email: info@aeri-japan.com
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【Keywords】
・Artificial Evolution Research Institute: AERI, Pasadena, California
・Xyronix Corporation, Pasadena, California
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