ETFOptimize | High-performance ETF-based Investment Strategies

Quantitative strategies, Wall Street-caliber research, and insightful market analysis since 1998.


ETFOptimize | HOME
Close Window

Kimberly Rosales explains the relationship between artificial intelligence and blockchain

By: WebWire

The very nature of the human being imprints a strong need to know as the strongest natural inclination, giving rise to numerous tools that promote increasingly advanced forms of knowledge production and assimilation. The passage of time led to a slow accumulation of knowledge that led to various distinctions. This massification in the current context configures the big data scenario. The blockchain and artificial intelligence (AI) have been two technologies of high recognition in recent years, which is why the expert in the cryptographic space, Kimberly Rosales, explains the relationship between the two.

Faced with the overabundance of data, as a great mass of information, the need for a philosophical response arises. An initial approach to the question inclines many to inquire into the impact that blockchain and AI have on the very act of knowing. This is due to the simple question of the double presence of a thing: a natural and a cognitive one; and perhaps a third one is added: the “being in the metaverse.”

“I use in a causal way the exemplification with a tree, since this is used as a metaphorical resource in the diagram of understanding the blockchain structure, in which the root is the initial node of that intangible tree called Merkle,” Rosales indicates. As far as AI is concerned, starting from the assumption that the form of the cognizing subject increases with the form of the known object, it forces the question whether in the knowledge produced by AI systems (in the cases of deep machine learning) it is possible or not to speak of the artificial agent as a cognizing subject.

It is the forms of real entities that acquire a new existence in the human intellect and give rise to what is called knowledge. Likewise, in the metaverse, the relationship is reversed, the intellect being able to conceive forms created in the digital world that have no previous existence in reality; rather, they are modeled in a digital ecosystem to make possible their existence in the real world.

“The origin of knowledge is in reality and this same reality is what determines the measure of the content of knowledge,” assures Rosales. “Consequently, knowledge will be true when understanding is actually measured by the real thing when the intentional form coincides with the form immanent to objective reality, giving rise to an epistemological question about blockchain and AI environments. Can the systems of the latter and blockchain measure the real thing?”

If so, Rosales takes for granted the capacity for understanding, which is proper to the human intellect. The only way to be able to sustain this hypothesis would be to start from the premise that human intellect exists by derivation in the machine learning system of artificial agents, without limiting the field of analysis to AI or even its underlying platform (blockchain). This is by analogical application of the categories to the plane reserved for the human being, in which both intelligences (natural and artificial) have or would have the same substance.

The above applies to intellectual knowledge, but something similar occurs in sensible knowledge, in which the subject also becomes something else, but not intelligible but sensible, since the sensible qualities of material things are intentionally made images in the sensibility of the one who knows. This sensitive knowledge occupies a space of great importance, challenge and desire of overcoming on the part of science applied to new technologies that pretends that an artificial agent experiences the same sensitive knowledge as a human being.

The new technological agents would gravitate in the plane of knowledge and knowing, but not in philosophical knowledge. It is the knowledge and knowing proper to the human intellect. Still, the current reality empirically demonstrates that an artificial agent can produce new knowledge, perhaps not conceived a priori by the human being in charge of programming or loading information. This is the reason why it is appropriate to inquire about the being of the blockchain and the being of the AI in order to measure its action, since this follows the being (being as an entity).

About Kimberly Rosales

Kimberly Rosales is an entrepreneur and tech aficionado who, early on, understood the full capabilities cryptocurrency could offer. She founded ChainMyne, a FINTRAC-registered company, in 2020 as a means to offer an easier method for accessing digital currency, as well as to empower cryptocurrency holders. While the majority of her time is occupied by ensuring her business ventures constantly run smoothly, when she does have some free time, she enjoys spending time with her family and exploring new locations.

— WebWireID293035 —


Stock Quote API & Stock News API supplied by www.cloudquote.io
Quotes delayed at least 20 minutes.
By accessing this page, you agree to the following
Privacy Policy and Terms Of Service.


 

IntelligentValue Home
Close Window

DISCLAIMER

All content herein is issued solely for informational purposes and is not to be construed as an offer to sell or the solicitation of an offer to buy, nor should it be interpreted as a recommendation to buy, hold or sell (short or otherwise) any security.  All opinions, analyses, and information included herein are based on sources believed to be reliable, but no representation or warranty of any kind, expressed or implied, is made including but not limited to any representation or warranty concerning accuracy, completeness, correctness, timeliness or appropriateness. We undertake no obligation to update such opinions, analysis or information. You should independently verify all information contained on this website. Some information is based on analysis of past performance or hypothetical performance results, which have inherent limitations. We make no representation that any particular equity or strategy will or is likely to achieve profits or losses similar to those shown. Shareholders, employees, writers, contractors, and affiliates associated with ETFOptimize.com may have ownership positions in the securities that are mentioned. If you are not sure if ETFs, algorithmic investing, or a particular investment is right for you, you are urged to consult with a Registered Investment Advisor (RIA). Neither this website nor anyone associated with producing its content are Registered Investment Advisors, and no attempt is made herein to substitute for personalized, professional investment advice. Neither ETFOptimize.com, Global Alpha Investments, Inc., nor its employees, service providers, associates, or affiliates are responsible for any investment losses you may incur as a result of using the information provided herein. Remember that past investment returns may not be indicative of future returns.

Copyright © 1998-2017 ETFOptimize.com, a publication of Optimized Investments, Inc. All rights reserved.