In the era before the internet and smartphones, people who were considered knowledgeable, whether due to their extensive knowledge or exceptional memory, were highly valued in companies, schools, and local communities.
In a time when methods for finding information were limited, these knowledgeable individuals, who could accurately comment on any topic, whether everyday or academic, were respected as advisors.
They were also indispensable to companies that employed lifetime employment systems at the time. Some even remembered everything from the company’s sales history to the exact page number in a document where a particular answer could be found, earning them the title of “living encyclopedia.”
Furthermore, for navigators, fishermen, farmers, and merchants, predicting the weather has long been essential, and in the past, they would plan their activities based on weather lore—predictions made by elders who were knowledgeable about natural phenomena and animal behavior. For example, a red sunset meant fair weather the next day, while a halo around the sun or moon indicated rain or cloudy weather.
This wisdom related to weather lore, passed down through generations, has a scientific basis rooted in meteorological principles such as changes in atmospheric pressure and humidity. By utilizing this knowledge and carefully observing natural changes and signs, people were able to plan more safely and achieve better results.
* The approach of low pressure systems and animal behavior:
The basis of weather lore lies in the fact that animals are sensitive to subtle changes in humidity, which increases as a low-pressure system approaches.
* Clouds and light reflecting the conditions in the upper atmosphere:
The principle that weather systems move from west to east due to the influence of the westerlies is the basis of weather lore related to the sky.
Here are some specific examples.
1. Swallows flying low indicate rain:
When humidity is high, insects’ wings become heavy with moisture, preventing them from flying high. Therefore, swallows, which feed on these insects, naturally fly at low altitudes.
2. Frogs croaking indicate rain:
Frogs, which breathe through their skin, dislike dryness and prefer humid environments. Therefore, when rain approaches and humidity increases, they begin to croak actively.
3. A red sunset indicates fair weather:
A red sunset in the western sky means there are no clouds in the west, indicating clear weather, making it more likely that the next day will be sunny.
4. A halo around the moon or sun indicates rain:
A halo is a phenomenon created by thin cirrostratus clouds, which often appear when a low-pressure system or weather front is approaching, thus indicating a change in weather.
5. Twinkling stars indicate strong winds:
When the wind is strong in the upper atmosphere, the wind tends to be strong near the ground as well. This is because the air near the surface is warmed by the sun’s heat during the day, causing convection, and the strong winds from the upper atmosphere descend to the ground.
In any case, in the past, it took a great deal of time and effort to search for and retrieve information or answers that matched specified or assumed attributes from information accumulated based on traditions and personal experiences, or from information contained in dictionaries, literature, and records, and those who were proficient in such information were highly respected.
To add further, searching refers to the act of finding specific information or data within a dataset, or the act of verifying whether the desired data exists. It carries a stronger nuance of setting conditions and targeting the search, rather than simply “looking something up.” In the past, it was a laborious process requiring patience, perseverance, and diligence, involving manual tasks such as searching through literature or consulting dictionaries.
However, with the development and widespread use of computers and the internet, access to large-scale, comprehensive information—including document searches, string searches, image searches, and audio searches—has become instantaneous, making the first concrete step towards fulfilling the desire to “know” much quicker and easier.
Nowadays, searching is a word widely used in various contexts as a daily part of operating a computer. However, in the past, in an analog environment, it implicitly included the specific intention of looking for something, such as manually going through index pages.
In contrast, searching using a computer refers to the act of submitting a query to a web service, and may include unexpected or unintended results, or perhaps the user is even hoping for such unexpected results. For example, entering the query “nearby restaurants” might display search results that include recommendations from highly-rated establishments.
This means that it cannot be completely ruled out that the results displayed on the computer may be intentionally manipulated based on false information, misinformation, or malicious intent, and therefore, blindly trusting or relying on them may pose some risks, even though a comprehensive answer to an inquiry might be obtained instantly.
Incidentally, many people will remember that during the virus turmoil, in order to promote vaccination, which carries a high risk of leading to a decrease in natural immunity, the authorities deleted the conventional definitions of immunity and vaccines, and rewrote the content at least twice, altering it to suit their policies. Furthermore, major social media sites manipulated their algorithms to prevent accurate and correct information and comments from appearing at the top of search results, and banned the accounts of online journalists who disseminated such correct information.
In fact, since search results vary depending on the search engine, it is essential to always keep in mind the risk of misunderstanding that arises from blindly accepting the answers provided by online searches.
Tracing the etymology of the word “search (検索, kensaku)” back to the classical text “Book of Later Han” from the Later Han Dynasty of China (25-220), expressions such as “to search and verify the truth” were used in legal documents and historical texts, conveying the meaning of investigation and exploration. From this, it can be inferred that the word originally implied an active attitude and action of investigation, rather than passive acceptance of information presented as a result of information retrieval.
The word “search (検索)” was transmitted to Japan during the Nara and Heian periods (8th-12th centuries) through Chinese texts, and it is believed to have been used as an official term in document management under the Ritsuryo legal system (律令制), indicating verification and scrutiny..
Today, the term “search” is often used to refer primarily to searching for information using computers. Familiar examples include web search engines that collect information published on websites and display a list of sites and pages related to specified keywords, and file search functions that index files stored on a computer’s storage and find those that match the specified criteria.
While “retrieve” implies finding something, “search” and “find” have the nuance of checking whether something exists or notifying about what has been found. In any case, computer-based search systems are classified into various types depending on what information is targeted and under what conditions the search is conducted, and they may lead to various results.
However, in information architecture, efforts are made to improve user satisfaction by placing search and navigation in a complementary relationship. While searching is the act of finding information based on keywords (a point-based approach), navigation is the act of sequentially following categories and hierarchies (a line-based approach).
Terms related to search include “index,” “query,” “ranking,” “crawling,” “synonyms,” and “Boolean operations.”
* Index:
A mechanism that summarizes and stores information to be searched, enabling high-speed searching.
* Query:
A set of search terms entered by the user, which can express complex conditions using logical operators (AND, OR, NOT).
* Ranking:
The process of sorting the results of matching the query and index in order of “relevance.”
* Crawling:
The act of automatically traversing and collecting information on the web, a technology that supports the backend of search engines.
* Synonyms:
A thesaurus that automatically associates the words entered by the user with synonyms to return appropriate results.
* Boolean operations:
In advanced search systems, Boolean operations and machine learning are combined to estimate the user’s intent and present the most relevant results.
Therefore, effectively utilizing online search requires mastering several techniques and adopting the right approach.
1. Select keywords appropriately, combining target terms and limiting terms to narrow down search results and eliminate unnecessary information.
2. Utilize operators such as AND search, OR search, exclusion search (e.g., -keyword), and specifying site search or file type (e.g., filetype:pdf) to improve work efficiency.
3. Evaluate the reliability of search results by checking the author, publisher, and update date, and cross-referencing information from multiple sources, as information displayed at the top of the search results is not always accurate.
In any case, search, which once meant investigation and academic literature research, has now transformed into digital information retrieval, encompassing not only the knowledge and wisdom of elders but also information from people with practical experience and in-depth knowledge of the subject
While the ease of accessing information from around the world anytime, anywhere via the internet and quickly searching for answers to questions is a great advantage, the sheer volume of information often makes it difficult to find the desired answer. Improving search literacy and acquiring the skills to quickly find reliable and accurate information has become essential for navigating the information-saturated society without stress.
The tool used to search for information on the internet is a search engine. It plays the role of quickly providing users with the information they seek by listing relevant web pages and information from a vast database when keywords are entered. This process involves three stages: crawling, indexing, and search algorithms.
1. Crawling:
This process involves automatically visiting web pages on the internet and collecting their content and information.
2. Indexing:
The collected information then moves to the indexing process, where the gathered data is organized and stored in a database, allowing for quick access to highly relevant results during searches.
3. Search Algorithms:
After indexing, the search engine uses search algorithms to display the most relevant results based on the keywords entered by the user, taking into account various factors such as page content, link quality, and user search history.
The techniques and strategies used to make a specific website or page appear higher in search engine results are collectively known as SEO (Search Engine Optimization).
Since users first see the websites displayed at the top of the search results, optimizing content based on the search engine’s algorithm through SEO measures differentiates a website from competitors, making it more prominent and increasing the likelihood of higher click-through rates and visitor numbers.
Effective SEO measures are said to enhance a website’s presence in search engine results, and there are several basic techniques:
1. Keyword Research:
Identifying keywords that target users are likely to search for.
2. Content:
Providing content and information that is valuable, in demand, and of high quality for users.
3. Links:
Effectively optimizing internal and external links.
Search engines include Google, Bing, Yahoo, DuckDuckGo, Qwant, and Startpage, among others. Each has different characteristics, so it’s advisable to choose the most suitable one depending on your search purpose.
* Google:
It is the most widely used search engine globally, to the point that “searching” is often referred to as “Googling.” It is said that the highly sophisticated search algorithm improves the accuracy of search results, instantly providing the most relevant information for the keywords entered by the user.
* Bing:
It is characterized by its strength in visual image search, making it easier for users to intuitively find information.
* Yahoo:
While it uses Bing’s technology for its search engine, it is also a comprehensive portal site with features such as news and email services, making it useful for purposes other than just searching.
* DuckDuckGo:
It prioritizes user privacy and does not save search history, making it a safe option for users who are concerned about their personal information.
In addition to these, there are other search engines that are said to prioritize privacy, such as Qwant and Startpage.
As an aside, during the virus turmoil, it became clear through investigations by prominent online journalists at the time that search engines under the control of authorities, such as Google, were manipulated to list false information, deceptive information, and information promoting dangerous vaccines that aligned with the narrative at the top of the search results. However, the claims of these online journalists were quickly suppressed before they could spread, through bans from social media platforms. Many people will likely remember this sequence of events.
In fact, there were significant differences between these manipulated search results and the more fair, reliable, and neutral search results provided by DuckDuckGo. It is anticipated that, with the utilization of generative AI, the methods used to manipulate society in accordance with the authorities’ malicious intentions will become even more cunning and sophisticated in the future.
Meanwhile, future search engines are undergoing significant transformations with the advancement of AI, evolving from simple keyword matching to understanding context and meaning. They are striving to more accurately analyze and understand the user’s search intent and improve their ability to provide more personalized and relevant information. Furthermore, with the spread of voice search, the ability to respond to questions in natural language is becoming more sophisticated.
In any case, search engines are expected to continue to evolve through a combination of technological innovation and responsiveness to user needs. The collection of all kinds of personal information, including individual preferences, thoughts, ideologies, financial information, and behavior, will lead to the provision of more personalized products and services. At the same time, this will necessitate comprehensive digital management of personal data based on security and respect for privacy.
In other words, there is a correlation between the evolution of search engines and social trends, and from this perspective, the background and intentions behind promoting the mandatory introduction of technologies such as blockchain, digital IDs, and social credit scoring systems can be inferred.
Therefore, it will be extremely important to remain vigilant, maintain critical thinking, and be prepared for all eventualities in order to protect against potential infringements on inherent human dignity, sovereignty, and freedom that this kind of digitally managed society might bring about.
It seems that the role of knowledgeable individuals who served as living repositories of information within communities and workplaces, and who were once highly valued and respected, has somehow been replaced by AI and digital technology. In fact, AI gives the impression of possessing more extensive and comprehensive knowledge than humans, and of being able to quickly provide appropriate answers or solutions to any query.
Since Plato (427BC-347BC), knowledge has been defined as justified true belief, and is said to consist of three elements (see Theaetetus):
1. Truth: The proposition must be true.
2. Belief: The person must believe that the proposition is true.
3. Justification: The person must have sufficient grounds for believing that the proposition is true.
However, in 1963, philosopher Edmund Gettier (1927-2021) demonstrated that there are cases where these three conditions of JTB (Justified True Belief) are met, yet it cannot necessarily be considered knowledge.
For example, suppose a person believes that “my friend owns a red car.” The friend actually does own a red car. However, the reason the person believed this was because they mistook another red car for their friend’s. In this case, the belief and the truth coincide, but the justification is flawed, raising doubts about whether it can truly be called knowledge.
Gettier raised the need to reconsider the definition of knowledge, and since then, various theories have been proposed, such as the causal theory of knowledge, which requires not only that the belief be true but also that there is a correct causal relationship in the process that produces it, and reliabilism, which holds that knowledge is something obtained through reliable means of perception.
In practical work and science, knowledge is often treated as actionable information, and information is called knowledge when it is used in a way that contributes to some kind of solution or outcome.
There are also classifications such as tacit knowledge and explicit knowledge.
* Tacit knowledge:
Knowledge acquired through experience and physical sensations, such as the intuition and physical movements of a skilled craftsman, which is difficult to articulate or formalize.
* Explicit knowledge:
Knowledge that is explicitly expressed in language or data, and is easy to share and store.
While philosophers such as Descartes and Spinoza believed that humans could grasp truth through innate reason and logic (Rationalism), others like Locke and Hume argued that human knowledge is acquired through sensory experience (Empiricism).
In any case, in today’s information-saturated world, considering what knowledge is is by no means a waste of time. It is worth careful consideration in order to prepare for the spread of intentional fake news and misinformation, and to cultivate the ability to discern correct information.
Knowledge is said to be organized in a hierarchical process:
1. Data:
Raw numbers or symbols that record facts or observations.
2. Information:
Data that has been organized and analyzed, and given some context and meaning.
3. Knowledge:
Information that has been utilized and internalized in the mind in a way that can be linked to decision-making and action.
Wisdom is a higher-level concept of knowledge, a form of understanding that applies acquired knowledge from multiple perspectives to provide appropriate situational judgment and deep insight. Comprehensive judgment based on experience and the ability to view things from a broad perspective are considered equivalent to wisdom. The elders who were once highly respected likely possessed an abundance of this kind of wisdom.
In the context of society and culture, knowledge is shared through language, education, and collective subjectivity, and is essential for human growth and decision-making. While some knowledge is universal and unaffected by the times, other knowledge may be updated based on new discoveries and social circumstances. Therefore, it is essential to maintain an objective and critical stance, actively incorporate new perspectives and information, and verify or adapt them as more reliable and applicable knowledge.
It is believed that acquiring knowledge leads to deeper thinking, the generation of new ideas, and improved problem-solving abilities. There are several ways to actually acquire knowledge, but some common methods include the following:
* Reading books.
* Attending lectures and courses.
* Discoveries through exchanging opinions.
* Internet searches.
With the spread of the internet, dictionaries are perhaps one of the things that have undergone a particularly dramatic transformation in terms of their physical form and search methods.
Incidentally, a dictionary is a book that organizes and arranges words, phrases, idioms, and the content of various matters according to certain criteria, and describes their spelling, pronunciation, part of speech, etymology, meaning, examples of usage, and so on. The main types include encyclopedias, which explain various matters and things; dictionaries, which primarily explain words; and character dictionaries, which mainly describe characters.
Before the internet, dictionaries were written on thin paper with tiny characters packed tightly together, sometimes requiring a magnifying glass to read. They were also thick and incredibly heavy, and finding the desired word often involved flipping through many pages, making the search a constant struggle.
Dictionaries are said to have originated with the birth of writing, and from the Uruk archaeological site in lower Mesopotamia, near the Euphrates River, a clay tablet inscribed with a vocabulary list of Sumerian (a type of agglutinative language) in cuneiform script, dating back to around 3400 BC, has been excavated.
Scribes, who needed to be proficient in specialized writing techniques for administrative document creation, seem to have inherited their profession. This tablet is considered to be a kind of notational dictionary containing the written forms of various everyday items, animal names, and occupational titles.
Later, around 2350 BC, the Akkadian dynasty was established after displacing the Sumerians, and they continued to use Sumerian cuneiform script for administrative purposes. However, since Akkadian is a Semitic language (related to Hebrew, Ethiopian, and Arabic), bilingual word lists comparing Sumerian and Akkadian were created on clay tablets to help people learn the cuneiform script, which belonged to a different language family. Furthermore, later on, comparative dictionaries were created for languages such as those of Anatolia and northwestern Syria, and this practice was continued until the creation of comparative dictionaries with Latin in the Middle Ages. These dictionaries were reportedly organized by semantic categories such as law, trees, pottery, leather, metals, animals, the human body, plants, geography, and food and drink.
In the 3rd century BC, the Library of Alexandria in Egypt was the largest repository of knowledge in the world at the time, housing hundreds of thousands of books collected from all over the world. Scholars such as Pliny and Eratosthenes attempted to accumulate, organize, and systematize knowledge in various fields, laying the foundation for what would later become the prototype of encyclopedias. In particular, Pliny’s “Natural History” was the first comprehensive encyclopedia covering knowledge of the natural world and had a significant influence on later generations.
Philetas of Cos (around the 4th century BC) authored “Ataktoi Glossai,” which explained the meanings of words found in Homer and other Greek literature, various Greek dialects, and technical terms. Apollonius the Sophist (around the 1st century AD) compiled the oldest surviving dictionary of Homeric terms.
The ancient Greek geographer Strabo wrote “Geography” in the 1st century BC, compiling geographical knowledge of the world into a single volume that included information on a wide range of fields such as history, culture, climate, customs, and politics, in a way that people of the time could understand. This geographical work was also used in the expeditions of the ancient Roman Empire and is considered to have been instrumental in establishing geography as an important element in later encyclopedias.
Although some of the ancient knowledge was lost during the Middle Ages, Isidore of Seville’s (560-636) “Etymologiae” (626), preserved in the Seville Cathedral in Spain, was a systematic compilation of knowledge across a wide range of fields, including etymology, theology, and natural science, and served as a compendium of medieval European knowledge, functioning as an encyclopedia.
The earliest dictionaries in English were glossaries that provided English definitions for words from French, Spanish, and Latin. The word “dictionary” itself was coined in 1220 by John of Garland, who wrote a book called “Dictionarius,” which was intended to be a guide to Latin “diction” (vocabulary and expression).
The earliest dictionaries in English were glossaries that provided English definitions for words from French, Spanish, and Latin. The word “dictionary” itself was coined in 1220 by John of Garland, who wrote a book called “Dictionarius,” which was intended to be a guide to Latin “diction” (vocabulary and expression).
The first alphabetical dictionary focusing solely on English words was “A Table Alphabeticall,” written by Robert Cawdrey of England in 1604.
Around 200 BC in China, the oldest dictionary, “Erya (爾雅),” was compiled. This work, compiled by scholars of the Former Han Dynasty, classified and organized archaic words found in the Book of Poetry (part of the Five Classics) into 19 categories, including explanations of usage, synonyms, and definitions.
In Chinese, since characters generally correspond to words, the arrangement criteria for dictionaries involve the aspects of form, sound, and meaning of the characters, and are broadly classified into three categories.
1. Character dictionaries: Classified by radical based on character form.
2. Rhyme dictionaries: Classified by rhyme based on character pronunciation.
3. Meaning dictionaries: Classified into departments based on the meaning of characters and phrases.
In addition, there are other types of dictionaries created in connection with books.
4. Encyclopedic dictionaries: Collecting and classifying similar expressions from many books.
5. Pronunciation and meaning dictionaries: Systematically extracting difficult words and phrases from a specific book and annotating their pronunciation and meaning.
The oldest existing dictionary in Japan is said to be “Tenrei Bansho Meigi (篆隷万象名義),” compiled by Kukai (空海, 774-835) in the early Heian period. Furthermore, a Chinese-Japanese dictionary classifying kanji characters by meaning, following the style of the “Erya,” was compiled in the mid-Heian period by Minamoto no Shitagō (源順, 911-983), titled “Wamyō Ruijushō (和名類聚抄).”
During the Edo period (1603–1868), a great number of dictionaries were compiled and published, based on the setsu-yōshū (節用集) of the Muromachi period and ōraimono (往来物), and works such as the “Wakan Sansai Zue (和漢三才図会)” and “Kokin Yōran Kō (古今要覧稿)” were so comprehensive in content that they could be considered encyclopedias.
To add a little more detail, the Setsu-yōshū dictionaries of the Muromachi period were arranged in i-ro-ha order, and only included phonetic readings for compound words without providing definitions. In the Edo period, more detailed annotations and illustrations were added, and they expanded to include historical timelines, maps of Japan, information on cultural practices such as tea ceremony and flower arrangement, and even cooking methods. As a result, Setsu-yōshū dictionaries began to be published categorized by genre, such as the Kaimei Setsu-yōshū (開明節用集), Kazubiki Setsu-yōshū (数引節用集), and Kana-zukai Setsu-yōshū (仮字遣節用集). Furthermore, during the Edo period, lexicography by Japanese scholars also began to flourish, and the Wakun no Shiori (和訓栞, 1778~1887) was the first dictionary to adopt the gojuon (五十音, fifty-sound) order.
In any case, there are many different types of dictionaries, and countless numbers of them have been compiled throughout history, including specialized dictionaries focusing on specific fields, defining dictionaries that provide a core vocabulary consisting of the simplest meanings of the most basic concepts, and historical dictionaries that describe the temporal changes in words and their meanings.
While most of these dictionaries might have once been inaccessible except in specific libraries, the advent of online dictionaries with the spread of the internet has greatly increased the opportunities to encounter descriptions and even visual materials regarding rare or unfamiliar words, things, and concepts, and it has become much easier and quicker to look them up.
It would not be an exaggeration to say that Wikipedia, which was launched in 2001, played a significant role in the spread of online dictionaries, based on its groundbreaking approach of crowdsourcing knowledge in a decentralized manner, bringing together the knowledge, wisdom, and passion of people from all over the world, and possessing scalability and rapid update capabilities on a scale that was impossible with traditional models.
This platform, based on a spirit of freedom, provided a stage where everyone could share their inherent right to speak and express themselves, making it possible to extract and encompass records of facts, truths, and historical events from a chaotic mix of diverse information and perspectives.
However, in a sense, the emergence of the Wikipedia platform was also an event that could lead to a major transformation, potentially resulting in a conflict with existing authorities.
Encyclopedias, which rapidly proliferated after World War II, were a source of fascination for people of all ages, satisfying their curiosity, serving as valuable reference materials for learning, and compiled with the knowledge of top experts. Traditionally, on the other hand, the information and materials were selected and edited according to policies and mainstream consensus, involving intentional manipulation and judgment regarding what to include and exclude, or what constituted reliable information and what did not. Therefore, Wikipedia, where anyone can freely edit content, had the potential to completely revolutionize this traditional editing process.
Articles published on Wikipedia have become increasingly comprehensive, extensive, and detailed, while at the same time, the rules regarding editing have become more strictly refined, including the requirement to provide sources and references, and measures to crack down on malicious editing.
On the other hand, taking advantage of the platform’s philosophy that anyone can freely edit content, articles containing hidden information and psychological manipulation have appeared, such as criticism of articles on controversial topics where maintaining neutrality is difficult or where there are mixed opinions, and articles based on the authorities’ narratives, which were particularly prevalent during the virus turmoil.
In contrast to Wikipedia’s philosophy and human-powered contributions, recently, led by Grokipedia, there is a trend towards launching AI dictionaries that rely on AI for the democratization of information, the balance of information, and the securing of a wide range of information sources.
Just as the intellectuals and wise men once called elders or walking encyclopedias have disappeared, it seems that the field of digital dictionaries is also shifting towards eliminating human intervention. While it may be difficult to maintain neutrality and fairness solely through human effort, there is a somewhat melancholic feeling that people are gradually disappearing from the forefront.
This is because uncritically accepting and becoming dependent on AI technology, which has the potential to fundamentally alter the nature of humanity, free will, and accumulated wisdom and experience, may be somewhat premature. For example, it would be difficult for users to readily ascertain whether AI algorithms are based on neutrality and moderation, taking into account robust ethical and legal safeguards to protect individual autonomy, privacy, and inviolable human dignity and thought processes.
Incidentally, it has been reported that China has implemented new laws strengthening regulations on influencers, prohibiting individuals without relevant degrees from discussing or expressing opinions on certain topics. From this, it can be inferred that in a totalitarian society, regulations that could lead to a ban on all expressions other than those dictated by the authorities could be implemented at any time in the future. Furthermore, because they are under digital surveillance, censorship is linked to sanctions such as fines and deductions from their social credit score.
In any case, it can be inferred from this that totalitarianism through the integration of AI technology is an attempt to reorganize all ecosystems and structures of the natural world through excessive bureaucracy, driven by the fanatical will of rulers based on ideology and eugenics, and that it also involves subjugating the inner realms of individuals, such as their minds, thoughts, and souls, transforming them into soulless humanoids equipped with digital devices, and placing them under a regulatory system of digital surveillance and control utilizing nanotechnology and other technologies.
For example, brain-computer interfaces (BCIs) could potentially lead to the implementation of a judicial system where thoughts deemed criminal are punished even before any physical act is committed, by making all cognitive processes transparent and allowing for the detection and modification of thoughts before they are translated into action.
In past societies, even under oppressive circumstances, there was a reverence and respect for elders and intellectuals who possessed extensive knowledge and wisdom. This was likely because cultivating the ability to choose and act based on ethical principles and integrity was seen as a way to experience freedom, and because knowledge, wisdom, and freedom were passed down through interaction with these predecessors.
In the current situation, where the inherent nature, free will, and soul of humanity may be infringed upon by AI technology, it gives the impression that both society and individuals must carefully consider how AI dictionaries, as repositories of knowledge, perceive these social trends, how they relate to people, and how they handle inherent human dignity and freedom.
Sincerely grateful for your financial support.
Sources and references:
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Neuralink and the ethical frontier of merging mind and machine
CDC – Deliberately Altered the Definition of what a Vaccine is in Preparation for Covid Injections
