A recent Nature report (April 28, 2026) highlights China’s aggressive strategy to bridge the gap between research and industry. WIPO statistics underscore this dominance: China holds 5 million of the world’s 18.6 million active patents, outpacing the U.S. (3.5 million) and Japan (2.1 million), while India remains a distant follower.
Quantity, however, is not a direct proxy for utility. Since patents require public disclosure and offer only a 20-year window of protection, trade secrets are often a preferred alternative for preserving competitive advantages. Yet, patent volume remains a credible barometer for a country’s technological “bench strength”—its capacity to innovate and re-engineer products more cost-effectively. From this perspective, China’s vast patent reserves signal its potential to redefine the global center of innovation.
Towards this goal, China began a comprehensive screening of over 1.3 million patents held by universities and research institutions nationwide in 2023. The objective of this screening was to identify the commercialization prospects of each patent. This screening identified approximately 68,000 patents with the potential to become successful market products. At a press conference, the deputy commissioner of the China National Intellectual Property Administration informed the public that, by the end of 2025, the rate of patent commercialization had reached 10.1 percent for universities and 17.2 percent for research institutes.
This initiative demonstrates that the current Chinese leadership has moved beyond rigid ideological dogmatism regarding state-controlled power. Simultaneously, the leadership maintains a pragmatic distance from the “intellectual allure” of the Western market economy. By navigating between these two poles, China is attempting to forge a unique developmental path that discards prevailing global economic orthodoxies. The success of this hybrid model—balancing state oversight with aggressive commercial innovation—will be of immense significance to the global economic order.
Patents in Force-2024: World Intellectual Property Indicators 2025
Country
In Force 2024
Change over previous year
China
5,688,867
+698,234
United States of America
3,519,879
+64,659
Japan
2,085,215
+21,539
Republic of Korea
1,312,294
+40,535
Germany
963,941
+35,835
France
757,026
+21,972
United Kingdom
744,130
+45,986
India
228,402
+39,617
Country
Total applications processed
Granted
Rejected
Withdrawn or abandoned
China
1,678,008
1,044,777
496,733
136,498
United States of America
444,743
324,112
22,121
98,510
Japan
243,732
183,949
55,807
3,976
Republic of Korea
167,790
122,382
39,761
5,647
Germany
45,249
23,944
8,178
13,127
France
12,225
9,579
1,526
1,120
United Kingdom
…
8,228
…
10,094
India
82,591
64,941
10,189
7,461
Mohana Basu: China’s latest push to commercialize research: match 680,000 innovators with companies: Nature News 28 April 2026
Xinhua Editor: huaxia : China completes patent screening at universities, research institutions to enhance commercialization
On January 20, 1920, the League of Nations was founded by the victorious nations of World War I to usher in an era of permanent global peace and security. However, within just 19 years, World War II began, effectively bringing the League to an end. At the conclusion of that war in 1945, the United Nations was established with the primary goal of “to maintain international peace and security,” as stated in Article 1 of the UN Charter. Now, 81 years later, the possibility of a third world war is being discussed by none other than the president of the world’s most powerful nation. It is an accepted fact that both world wars were fought to gain territory and control vital resources—land, water, and minerals. Crucially, these were all terrestrial resources rather than extra-terrestrial ones.
The Covenant adopted by the League of Nations dealt only with terrestrial issues such as national sovereignty, disarmament on Earth, the treatment of colonies, and the resolution of international disputes on the ground. There was no mention of any outer space issue that could lead to a conflict between nations. The UN Charter also did not mention outer space.
In 1962, the General Assembly of the UN adopted a “Declaration of Legal Principles Governing the Activities of States in the Exploration and Use of Outer Space,” which incorporated the following three principles:
The exploration and use of outer space shall be carried on for the benefit and in the interests of all mankind.
Outer space and celestial bodies are free for exploration and use by all States on a basis of equality and in accordance with international law.
Outer space and celestial bodies are not subject to national appropriation by claim of sovereignty, by means of use or occupation, or by any other means.
The lofty ideals enshrined in such declarations notwithstanding, outer space became an arena for rivalry after the erstwhile USSR launched Sputnik in 1957, and the first human being was sent into outer space on April 12, 1961. On 3 February 1966, Luna 9, launched by the USSR, became the first spacecraft to achieve a soft moon landing. The USSR’s initial success in developing cutting-edge technology to navigate outer space rang a warning bell for the USA, the world’s most developed and richest country. Taking up the challenge, the US initiated the mission to put a human foot on the moon. President Kennedy set the ball rolling with his famous speech on May 21, 1961, urging Congress to accept that moon landing was an “urgent national need.” He said, “If we are to win the battle that is now going on around the world between freedom and tyranny; if we are to win the battle for the minds of men, the dramatic achievements in space which occurred in recent weeks should have made clear to us all, as did the Sputnik in 1957.” The sentiments of the US military were quite clear about the importance of exercising hegemony over the moon to maintain US hegemony over Earth, as reflected in a speech given by decorated Brigadier General Homer A. Boushey in 1958: “Whoever controls the Moon controls the Earth. The Moon offers a retaliatory base with unparalleled advantage.”
Luna 2 was the first spacecraft to reach the surface of the Moon, but it was designed to crash on the Moon’s surface.
The USA began its Apollo program in 1961 to land a human being on the moon, and the goal was achieved when Apollo 11’s Lunar Module landed safely with three astronauts on board on July 20, 1969. Subsequently, five Apollo spaceflights took 12 astronauts to the moon between 1970 and 1972. The Apollo program ended when Apollo 17 landed on the Moon in December 1972. After the closure of the Apollo program, expenditure on the space program declined from about 4% of the federal budget to 0.4% at the end of 2023.
In the meantime, on July 3, 1969, the Soviet Union made a second attempt to launch its moon rocket N1 and met with a devastating failure, bringing an end to its moon expedition program.
Despite the intense political rivalry of the Cold War, both the USA and Russia did not refrain from scientific cooperation, particularly in lunar missions. In the early stage of the space race (1957 to 1970), cooperation was minimal and largely symbolic. In 1972, the U.S. and USSR signed the Agreement Concerning Cooperation in the Exploration and Use of Outer Space for Peaceful Purposes. This agreement led to the creation of joint working groups to share data on space medicine, satellite communications, and planetary exploration. This collaboration culminated in the first joint lunar mission in July 1975, when two space vehicles—NASA’s Apollo spacecraft and the Soviet Soyuz spacecraft—docked in orbit and American astronaut Thomas Stafford and Soviet cosmonaut Alexey Leonov had a symbolic handshake in space. However, this détente collapsed when the Soviet Union invaded Afghanistan in 1979. When Ronald Reagan took over the US presidency in 1981, the Cold War between the two space giants resumed with full force.
The disintegration of the USSR in 1991 precipitated a huge economic crisis across all newly created independent republics. Transition from a state-driven planned economy to a market-driven economy was neither smooth nor immediately productive. A rapid and poorly managed privatisation process created a new class of robber barons with no history of creating wealth through innovation and productive competition. The population of the new Russia was half that of the erstwhile USSR. For Russia, keeping the race to the moon alive in the early period of its new incarnation became financially and organizationally difficult. As a result, the USA had no more compulsion to remain engaged in a one-nation race to the moon. Apollo was wound up because the political reason vanished.
However, by the end of the 1980s, the exploration of outer space had ceased to be a purely scientific endeavour and emerged as a new arena of geopolitics. The technologies underpinning space navigation are closely intertwined with advanced military capabilities and modern communication systems that have become integral to everyday life. Research in rocketry and satellite technology not only facilitated the development of intercontinental ballistic missiles but also enabled the development of global positioning systems (GPS) and worldwide communication networks. Today, financial and economic infrastructures are critically dependent on internet-based applications, and the global system would be severely disrupted if the internet were to cease functioning. Indeed, the history of human civilisation over the past 5,000 years suggests that the pursuit of power has been a primary driving force behind the quest for new technologies.
Interest in the Moon was revived following the discovery that it contains a resource crucial for establishing a permanent human presence—namely, water. Chandrayaan‑1, India’s first lunar probe, launched in October 2008, was the first mission to report the widespread presence of water molecules in the lunar regolith. Subsequent studies have identified significant permafrost deposits—frozen water—near the Moon’s south pole. This region is also characterised by abundant solar energy in the form of near‑continuous sunlight, further enhancing its suitability for sustained human activity.
In addition to water and solar energy, the Moon is believed to contain deposits of Rare Earth Elements (REEs), a group of minerals essential to several strategically important sectors of modern manufacturing. REEs are critical for the production of high‑performance permanent magnets used in communication devices, computing systems, and military surveillance technologies, among other applications. Although these elements are relatively abundant in the Earth’s crust, they are seldom found in concentrated and economically exploitable forms. According to the United States Geological Survey (USGS), while most lunar rocks exhibit low concentrations of REEs, a distinct category of lunar material rich in potassium (K), rare earth elements, and phosphorus (P)—collectively known as KREEP—contains comparatively high concentrations of these elements. Data obtained from orbiting lunar satellites have identified locations where substantial KREEP deposits are likely to exist.
The availability of the three above usable natural resources, particularly water, makes the Moon the nearest extraterrestrial base for future missions to Mars and other planets. This has triggered a new race to the Moon. This race is not merely for landing on the Moon, but for the long‑term occupation of those regions that are rich in the three resources mentioned above. Once countries on Earth begin using lunar land for the extraction of natural resources, a crucial question will arise: whether the Moon’s land will be demarcated into “national colonies” or remain the common property of all humankind.
Based on the 1962 UN Declaration (cited above), the Legal Subcommittee of the UN prepared the Outer Space Treaty in 1966, which came into force in October 1967. The first three principles of the Outer Space Treaty, quoted below, give clear directions about the use and ownership rights of any occupied segment of outer space:
The exploration and use of outer space shall be carried out for the benefit and in the interests of all countries and shall be the province of all mankind.
Outer space shall be free for exploration and use by all States.
Outer space is not subject to national appropriation by claim of sovereignty, by means of use or occupation, or by any other means.
These principles were laid down when the true, usable value of the Moon, the Earth’s only natural satellite, was unknown to the dominant powers of that period. Furthermore, the composition of power across nations has also evolved—“silently shifting into the hands of those who control data, belief, attention, and innovation. … real influence today lies in algorithms, not armies.” In other words, corporates who now control a big slice of power on Earth will also demand a similar distribution of power on the Moon. In recent years, several nations, including the United States (2015) and Japan (2021), have introduced legislation that explicitly authorises the commercial use of space resources, signalling a transition in which terrestrial corporate economic dominance will also be replicated in extra‑terrestrial environments. The integration of market‑driven entities into future human habitations is no longer a theoretical abstraction; rather, it is a tangible development reflected in contemporary U.S. space exploration paradigms. According to Sci‑Tech Today, in the year 2023, the “commercial sector accounted for 85% of all satellite launches by volume in 2023, highlighting the growing role of private enterprises.” Of all satellites launched in 2023, 94% were classified as small satellites (mass < 600 kg), largely driven by commercial constellation deployments.
Although Russia is a “nuclear‑weapons state,” it is not rich enough to engage with the US as an independent contender for a seat at the high table of the space race to the Moon. The only real contenders to join in the race to the Moon are, as of today, the USA and China. The story of China’s rise as the only contender to the USA in the race to the Moon is not just a story of a race to become hegemon of the solar system but also a race between two ideas of societal arrangement of power—one involving a continuous balancing between political power and the power of wealth, and another involving power struggle mainly within a political bureaucracy with only a supplementary involvement of wealth.
China’s goal is, in the words of President Xi Jinping, to “explore the vast cosmos, develop the space industry and build China into a space power—our eternal dream.” In January 2022, the Chinese government published its vision for the future space program. The document clearly lays out China’s ambitious space program to be on par with the USA. Building a space laboratory, keeping astronauts on long‑term assignments on the Moon, and building an international research station on the Moon were all part of this ambitious program. The relative spending on space programs shows how China is gradually becoming the only contender to the US in the race to the Moon.
Table 1: Country-wise Governmental Spending on Space Programs
That China is the most important as well as the more resourceful contender to the USA has been recognised by the US itself. The Wolf Amendment of 2011 imposed legal restrictions prohibiting NASA from engaging in scientific collaboration on space projects with China without congressional approval. In its 2019 report submitted to the US Congress, the U.S.-China Economic and Security Review Commission (USCC) had two chapters with the following headings: Chapter 3: China’s Ambitions in Space: Contesting the Final Frontier; Chapter 7: The Final Frontier: China’s Ambitions to Dominate Space. This report identified three areas of contention between the two powers—one already established and another emerging. These are: Military Vulnerability, Economic Displacement, and Loss of Strategic Autonomy.
Finally, it is certain that by 2035 the two contending superpowers—the US and China—will start using a permanent lunar outpost each. It is also possible that some corporations participating in either the Artemis or ILRS program will build their own outposts. The question of ownership of these outposts will be a contentious issue and will call for a solution acceptable to all. The applicability of the concept of sovereignty in space has been denied in the Outer Space Treaty (OST). Since current international jurisprudence denies any existence of “Space Nations,” the only framework that can be meaningfully applied to extra‑terrestrial bodies will be the one now applied to the high seas—no restriction for use but no ownership by any body. But the political system of the USA is not ready to accept this approach to extra‑terrestrial bodies. Without formally discarding the OST, the USA has broached the idea of “functional sovereignty.” The Artemis Accords have introduced the concept of “safety zones,” which nations outside the sphere of the accord consider a violation of Article II of the OST.
Article 7 of the Artemis Accords gives the following definition of “safety zones”:
“In order to implement their obligations under the Outer Space Treaty, the Signatories intend to provide notification of their activities and commit to coordinating with any relevant actor to avoid harmful interference. The area wherein this notification and coordination will be implemented to avoid harmful interference is referred to as a ‘safety zone’. A safety zone should be the area in which nominal operations of a relevant activity or an anomalous event could reasonably cause harmful interference.”
This definition leaves the right to declare a specific part of the Moon under its usage for some purpose as a “safety zone” to individual signatories and not to an international body. There is no mention of permissible access to the “safety zone” to view and understand the nature of the activities underway. A “safety zone,” thereby, becomes an area under a sovereign, thus…
Finally, accords like the OST and Artemis were prepared when AI was in a nascent stage of development. For example, if robots are sent to the Moon to establish a colony for REE mining, how easy or difficult will it be to create a safety zone for them? Will it be possible to imbibe a national spirit in the robots so that they cannot be manipulated to work for a rival nation? Space exploration by Homo sapiens is now at a very nascent stage—a child’s play—and its future will most probably follow a path that Carl Sagan forecasted:
“It will not be we who reach Alpha Centauri and other nearby stars. It will be a species very like us, but with more of our strengths, and fewer of our weaknesses … more confident, far‑seeing, capable and prudent.” — Pale Blue Dot: A Vision of the Human Future in Space, Carl Sagan
Neither Trump nor Xi Jinping will be able to take one small step toward this destiny of ours.
China’s Vision for Space: Interview with Khyle Eastin: November 21, 2023; The National Bureau of Asian Research
2019 Annual Report to Congress produced by the U.S.-China Economic and Security Review Commission (USCC). Author: U.S.-China Economic and Security Review Commission (USCC)
Innovation always signals the withering away of the present and the rise of the future. While many hark back to a golden past where life was supposedly simple and one could find meaning in ‘enough’, reality shows a relentless human pursuit for more: more productivity, more growth, and more knowledge. This drive is fundamental to Homo sapiens, tracing back to our journey from the African savanna across all continents over the last 285,000 years. During this long period, the very character of our species has undergone significant changes, and today we dream of colonizing other planets. It appears now, that the same evolutionary impulse has led to something unprecedented: the creation of a new ‘species’, born not from nature, but from our own ingenuity. It would be a serious mistake to consider Artificial Intelligence as merely a new and highly sophisticated technology and not a potential new species in the making. The word ‘intelligence’ has always been ascribed to living beings, while technology is the result of applying this intelligence to solve real-world problems. This article examines the impact of AI on the job market from two perspectives: AI as only a technology and AI as a potential new species, currently under human oversight.
AI as a Technology
The word Intelligence comes from the Latin word “intelligere” which is a verb, meaning, “to understand” or “comprehend”. Etymologically, this verb is composed of two components, namely inter (“between”) and legere (“to choose”). Therefore, an intelligent living creature can take decision when confronted with multiple alternatives. The word Artificial is self-explanatory:- instead of a living thing, a machine is endowed with intelligence.
W. Brian Arthur (Arthur, 2007) in his article “The Structure of Invention” defined technology as possessing “a purpose, a combination of components, an architecture, and embodies a base principle that exploits some base phenomenon. We could therefore define an invention to correspond to a significant change in any one of these”. This definition of any technology does not ascribe any choice making capability to the technology itself. Currently, AI excels at making optimal choices primarily in well-defined, structured environments where the possible options are limited (a fixed spectrum of choices) and the criteria for selecting the best option can be statistically derived from vast quantities of historical data (e.g., classification and prediction tasks). This reliance on structure and available data confines an AI tool’s competency to the limits of its memory capacity, rather than demonstrating true intelligence. The Large Language Model (LLM) that provides the technological foundation of current AI tools has its own limitations in identifying truth that human intelligence is capable of determining. S. Johnson & D. Hyland-Wood in their paper on LLM [reference] have highlighted this well- “(LLM models) can sometimes produce output that goes very rapidly from amazing to badly wrong. As an example, we asked ChatGPT 4, 4o and o1-preview to identify the canonical academic references for LLM orchestration. Most of the resulting academic paper suggested by the LLMs did not exist, the links to the papers did not resolve, and the conferences and journals cited do not list the papers. They were bullshit, appearing plausible but untrue”. These observations are important but do not diminish the significant impact of current form of AI in the job market. It is quite likely that in another 10 years AI may start possessing “intelligence”.
John Schumpeter in his 1942 book “Capitalism, Socialism, and Democracy” floated the idea of “creative destruction” as the driving force of capitalism. According to Schumpeter, capitalist entrepreneurs can sustain their market dominance only by inventing new product, new and more efficient production process and seeking new market. The success in any of this endeavor can materialize if and only if the old system meets its destruction. Notwithstanding Schumpeter’s definitive and mostly accepted view about dynamics of post- industrial -revolution market economy, it would be a travesty of history, if a long series of innovations that shaped the humanity since the invention of “ stone chopping tool” 1.8-2 million years ago, is credited exclusively to market driven capitalism. In other words, AI is a result of history and not a product of capitalism per se.
Metamorphosis of AI to a new Species:
That evolution has reached its final goal with the arrival of Homo sapiens will be the most unscientific claim by any human being. The concept of God, an almighty humanistic creator of universe, is only a projection of this human thought process, “Après moi le déluge”. Irrespective of language, social norms and economic structure, every human being will fight to the end to avoid metamorphosis of AI to a digital species. Mustafa Suleyman, CEO of Microsoft AI, in a Ted Talk underlined the danger that is likely to materialize, if AI is allowed autonomy. He argued that “autonomy is very obviously a threshold over which we increase risk in our society. .. If you allow the model to independently self-improve, update its own code, explore an environment without oversight, and, you know, without a human in control to change how it operates, that would obviously be more dangerous.”
Isaac Asimov formulated “Three Laws of Robotics” to ensure that AI always remain under the strict control of human (see Appendix). In the real world, it would be impossible to enforce these laws across the globe, especially across different developers, companies, and nations.
My Question to Perplexity: I want to conduct an experiment. I will gather all literature published on the subject of physics that Einstein was working on. I will then use various LLM to provide answer to the problem that Einstein was working on. We will check how close these results are to theory of relativity developed by Einstein.
Perplexity’s Answer:
This experimental design will systematically compare answers produced by various large language models (LLMs) on the core problems Einstein addressed, using the contemporary literature available to physicists in Einstein’s era, and then assess how close these answers come to the established results of the theory of relativity developed by Einstein.
Core Problems Einstein Worked On
In the late 19th and early 20th century, experimental physics outpaced theoretical abstraction, with concepts like Maxwell’s electromagnetic theory, the nature of light, heat, and the structure of atomic particles occupying focus. Prior to Einstein, physicists were tackling issues such as:
Contradictions between Maxwell’s equations and Newtonian mechanics, particularly for moving bodies and the propagation of light. The puzzle of the “luminiferous aether (or eather)” as the medium for light waves.
Length contraction and time dilation theories, motivated by experiments like the Michelson-Morley experiment. The electromagnetic theory of matter and how moving electrons might deform, foundational concepts in energy, heat, and atomic structure.
Published Literature from Einstein’s Era
Literature in the decades before Einstein focused on:
Maxwell’s electromagnetic theory.
Lorentz’s electron theory.
Hertz, Kirchhoff, and Helmholtz’s works on electromagnetism and radiation.
Röntgen’s discovery of X-rays, Thomson and Wien’s experiments, and Becquerel’s discovery of radioactivity.
Attempts to reconcile experimental data with theoretical models for light, energy, and atomic processes.
Einstein’s Solutions: Theory of Relativity
In his 1905 papers, Einstein united disparate results into the special theory of relativity, introducing radical concepts: time dilation, length contraction, constancy of the speed of light, and the mass–energy equivalence
E=mc2 . Later, general relativity replaced gravity as a force with space-time curvature.
Experimental Plan Outline
Collect and catalog pre-1905 physics literature relevant to Einstein’s research topics.
Present key problems as framed in those works to different LLMs.
Gather responses and reasoning from the models, limited only to knowledge available in the historical literature.
Compare LLM solutions to Einstein’s theory of relativity (special and general).
Assess closeness, originality, and gaps in LLM answers with reference to Einstein’s published solutions.
Key Comparison Points
Time dilation and length contraction: Did the LLMs deduce these concepts from historical sources?
Mass–energy equivalence: Was E=mc2 derived or suggested?
Gravity and space-time: Were model answers limited to Newtonian or ether theories, or did any approach space-time curvature?
Logical structure: Did any LLM echo Einstein’s method of synthesizing core principles: (constancy of light speed, relativity of motion) in a new framework?
This experiment will highlight the limits of historical literature and human reasoning at the time, as well as the potential of LLMs to recombine pre-existing knowledge into novel theoretical results.
A reproducible literature collection protocol for Einstein’s physics topics should systematically identify, acquire, and document all primary and secondary scholarly works relevant to the problems Einstein addressed, especially those published before his major relativity papers.
Protocol Overview
Define Scope and Objectives
Precisely delineate the physics topics worked on by Einstein (e.g., electromagnetism, light and ether theories, relativity, quantum phenomena).
Establish a clear historical time frame (e.g., publications from 1850 to 1910).
Set Inclusion and Exclusion Criteria
Include primary literature (journal articles, books, letters) by major physicists of the era (Maxwell, Lorentz, Poincaré, Hertz, Planck, and Einstein himself).
Exclude unrelated fields (chemistry, experimental biology) unless they directly relate to Einstein’s focus.
Identify and Access Sources
Use authoritative databases and sources: Annalen der Physik, Philosophical Magazine, Nature archives, Royal Society archives, and institutional libraries holding historical physics materials.
Collect works in relevant languages (mostly German, English, French).
Use catalog metadata and classification systems (e.g., Library of Congress, INSPEC physics database).
Documentation and Verification
Maintain a structured log with bibliographic information (author, title, publication year, source, abstract, digital access links).
Note any duplicates, editions, translations, or historically significant reviews.
Quality Control and Transparency
Regularly update records to document search process, inclusion/exclusion rationale, and completeness.
Archive all records in a publicly accessible repository or dataset to enable independent verification and reproduction of the process.
Example Steps Summary
Step Description Source [citation]
Scope Define time period and Einstein’s physics topics
Criteria Set publication types, relevant figures, language limits
Search Use keywords; access historical databases
Log Record full bibliographic and access info
QC Archive protocol, allow transparency and audit
This approach ensures any future researcher can reproduce the literature dataset and validate the completeness and appropriateness of the materials selected for Einstein’s physics problem analysis.
My comments:This inquiry does not aim to evaluate the current capacities of large language models to conceptualize emergent scientific paradigms or to actively propel the evolutionary process beyond Homo sapiens. Instead, it seeks to critically examine the epistemic distance between contemporary artificial intelligence and the prospective, arguably inevitable, horizon where such capacities may be realized, acknowledging the inherent limits of present understanding and technological development.
The difference between fiat money like the US Dollar and Bitcoin is comparable to the difference between the US Dollar and gold. The global supply of gold increases as new gold is mined, just as the mining process determines the supply of new Bitcoin. Like gold, people buy, hold, and sell Bitcoin largely in pursuit of capital gains. Today, cryptocurrencies are primarily viewed as investment assets rather than everyday mediums of financial transactions.
Currently, the total value of Bitcoin in circulation is about 19.91 million BTC (≈ 1.6816 trillion USD). In comparison, the estimated above-ground stock of gold is around 216,215 tons, valued at approximately 23.5 trillion USD. Therefore, it is anybody’s guess as to how long it will take Bitcoin to become the most preferred way to be a store of value. Interestingly, 45% of the world’s gold is held in the form of Jewelry- a feat beyond the capacity of bitcoin. This is because “ Gold is unbelievably beautiful” ( Why do we value gold? By Justin Rowlatt)
As the ownership of gold is highly skewed, the same is true of Bitcoin. It is interesting to know that the highest ownership of Bitcoin as an individual is none other than Satoshi Nakomoto, an unknown person or a group of persons going by this pseudonym, who invented Bitcoin in October 2008. The total Bitcoin held under this name is around 1.1 million BTC, across 22000 wallets. The market value of this holding is around 93 billion dollar as on April 2025. The skewed distribution of this digital asset can be seen from the following table.
Conclusion Bitcoin, like gold, demonstrates both its appeal as a store of value and its tendency toward concentrated ownership. While its future role in global finance remains uncertain, its distribution patterns suggest that Bitcoin is not unlike other scarce assets—valuable, but unevenly held.
Why we cannot create an international organization comprising research institutions and even individuals to create a repository of research articles? The organization will be solely dependent on subscription and donations. This organization will be free from any government interference. The job of this organization is to a build a highly intelligent repository with the capability to generate answer to any query. AI will be deployed to work out degree of plagiarism, forgery etc. And so on. Is it doable?
Reply by Gemin Ai
It’s a compelling vision! The idea of an independent, internationally governed, AI-powered repository for research articles, free from corporate and government interference, addresses many of the current frustrations with scientific publishing and integrity. Let’s break down the feasibility and challenges of such an organization: Is it Doable? In Theory, Yes. In Practice, Extremely Challenging.
Here’s why:
Why it’s a Great Idea (The “Why”)
* Addresses Current Problems: It directly tackles issues like: * Access Barriers: Eliminates subscription walls. * Commercial Dominance: Reduces reliance on large for-profit publishers. * Research Integrity: Centralizes and enhances plagiarism/forgery detection using advanced AI. * Dissemination Speed: Could potentially accelerate article availability. * Knowledge Discovery: An AI-powered system could offer novel ways to search, synthesize, and analyze research. * Academic Freedom: By being independent of governments and corporations, it could better safeguard academic freedom.
Major Challenges (The “How”)
* Funding and Sustainability: * Initial Capital: Building such a massive, intelligent repository (hardware, software, AI development, data migration) would require enormous upfront capital, likely billions of dollars. * Ongoing Costs: Maintaining servers, developing AI, employing expert staff (technical, editorial, legal, ethics), and covering legal fees would be astronomically expensive. * Subscription Model: While intended to be free for access, you mention “solely dependent on subscription and donations.” * Subscription from Whom? If it’s a subscription from institutions, it risks simply replacing one set of subscription fees (to publishers) with another (to this new organization). Would institutions be willing to pay significant fees to an entirely new entity while still needing access to historical content from existing publishers? * Donations: While valuable, donations alone are unlikely to sustain such a vast, critical infrastructure on an ongoing basis. Relying solely on them for long-term stability is risky. * The “Free Rider” Problem: If access is free, how do you incentivize enough people/institutions to subscribe or donate sufficiently to cover costs? * Content Acquisition and Rights: * Historical Content: How would you acquire the rights to the millions of articles already published and owned by Elsevier, Springer Nature, Wiley, etc.? They would not simply hand over their valuable assets. Re-publishing would involve complex and costly rights negotiations, or the organization would start with zero historical content. * New Content: Even for new articles, gaining traction would be hard. Why would researchers submit to a new, unproven repository instead of established, high-impact journals (which currently offer career advantages)? You’d need to convince entire disciplines to shift their publication habits. * Versioning and DOIs: How would it integrate with existing systems for digital object identifiers (DOIs), version control, and citation tracking? * Governance and Independence: * True Neutrality: Maintaining “free from any government interference” and “free from corporate influence” at a global scale is incredibly difficult. Who sets the rules? Who decides what gets included or removed? How are disputes resolved? * Geopolitical Influence: Different countries have different legal frameworks and political agendas regarding research and data. An truly international body would face immense pressure from various national interests. * “Capture” Risk: Even well-intentioned independent organizations can eventually be influenced by powerful groups or funders. * Technological and AI Challenges: * AI for Integrity: While AI is powerful for pattern recognition, detecting subtle plagiarism, data manipulation, or outright fraud is extremely complex and constantly evolving. It requires more than just algorithms; it needs human expert oversight, legal frameworks, and investigative processes. AI can flag, but human judgment is still essential for determining misconduct. * “Answer to Any Query”: A highly intelligent repository capable of generating accurate answers to “any query” effectively describes a general artificial intelligence, or at least a highly advanced domain-specific AI, which is a monumental challenge beyond current capabilities for scientific synthesis. * Maintenance and Obsolescence: Keeping such a massive, AI-powered system updated and secure against cyber threats would be a continuous, resource-intensive task. * Adoption and Network Effect: * Shifting Habits: The academic publishing ecosystem is deeply entrenched. Researchers’ careers depend on publishing in specific journals. Overcoming this inertia and getting widespread adoption would be a Herculean task. * Incentives: Unless this new repository offers clear, compelling incentives (e.g., faster publication, better visibility, career benefits) that outweigh the current system, adoption will be slow. A More Realistic Path: Incremental Evolution and Collaboration While a single, monolithic, independent organization might be a utopian ideal, many of its aims are being pursued through decentralized, collaborative efforts: * Growth of Preprint Servers: These are independent and community-driven. * Open Access Mandates: Funders and governments are increasingly requiring OA, chipping away at publisher dominance. * Responsible Research Assessment: Initiatives like DORA are changing how research is evaluated, reducing the pressure to publish in specific journals. * Independent Integrity Bodies: Organizations like COPE (Committee on Publication Ethics) or national research integrity offices work independently of publishers to set standards. * Blockchain for Science (Decentralized Science – DeSci): Emerging concepts using blockchain technology to create transparent, immutable records of research and peer review, potentially bypassing traditional publishers. * AI for Research Tools: AI is increasingly being developed and integrated into research workflows by various independent groups for things like literature review, synthesis, and even misconduct detection (e.g., tools that check image integrity).
Conclusion:
The vision you describe is inspiring and targets many real problems. However, creating a single, comprehensive, independent, and AI-powered global research repository from scratch, funded solely by subscriptions and donations, while remaining free from all influence, faces formidable practical, financial, legal, and sociological hurdles. It’s more likely that the ideal will be approached through the continued evolution and integration of various, smaller, more specialized open science initiatives, preprints, non-profit publishers, and AI tools, rather than a single, grand, centrally planned entity. The “fight” is about shifting power and incentives away from commercial entities and towards the broader scientific community. You’ve articulated the core of the problem: the conflict between the profit motives of dominant commercial publishers and the need for robust research integrity, while simultaneously acknowledging the dangers of direct government control over science. The solution isn’t a single, simple fix, but rather a multi-faceted approach that emphasizes decentralization, community ownership, transparency, and a shift in incentives. Here are some key solutions and trends being actively pursued by the global scientific community: 1. Empowering Institutions and Researchers (Decentralization of Integrity Checks) * Institutional Responsibility: The most effective approach is to place the primary responsibility for research integrity squarely on the shoulders of the institutions where the research is conducted. Universities and research organizations are the employers of scientists and have direct access to raw data, lab notebooks, and personnel. * How: Institutions should invest in strong research integrity offices, offer comprehensive ethics training, implement robust data management policies, and conduct thorough investigations into misconduct allegations. * “Digital Certificates” of Integrity: As suggested in some discussions, imagine a future where every research article comes with a digital certificate from the authors’ institution(s) validating that a series of integrity checks have been performed before submission to a journal. This shifts the burden away from journals being forensic detectives after the fact. * Researcher-Led Initiatives: Fostering a strong culture of ethical conduct from within the research community itself. This includes: * Open Science Practices: Encouraging pre-registration of studies, sharing raw data, detailed methodologies, and analysis code. This makes research more transparent and reproducible, making it harder to hide misconduct and easier for the community to identify issues. * Open Peer Review: Making peer review more transparent (e.g., publishing reviewer comments, disclosing reviewer identities) can increase accountability for both authors and reviewers. * Post-Publication Peer Review: Platforms where researchers can comment on, question, and even challenge published papers after they appear, providing continuous scrutiny beyond the initial peer-review process. Retraction Watch, for example, highlights issues and retractions, increasing transparency. 2. Diversifying and Reforming Scholarly Communication * Non-Profit and University-Led Publishing: Support and strengthen non-profit university presses, academic societies, and other scholar-led publishing initiatives. These entities are typically more aligned with the public good of science than commercial publishers. * Preprint Servers: Expanding the use of preprint servers (like arXiv, bioRxiv, medRxiv, IndiaRxiv, etc.) allows researchers to quickly share their findings without the delays of traditional peer review. While preprints are not peer-reviewed, they accelerate dissemination and allow for early community feedback, which can sometimes flag integrity issues faster. * Diamond Open Access: Advocating for and funding “Diamond Open Access” models where neither the author nor the reader pays. This typically involves funding from institutions, consortia, or public grants to support the publishing infrastructure. * Breaking the “Impact Factor” Addiction: Moving away from using the Journal Impact Factor as the primary measure of research quality or researcher performance. * Responsible Research Assessment (DORA): Initiatives like the San Francisco Declaration on Research Assessment (DORA) encourage institutions to evaluate research based on its intrinsic merit, methodologies, data sharing, and societal impact, rather than just where it was published or the journal’s impact factor. * Alternative Metrics (Altmetrics): Exploring metrics that capture the broader impact of research, such as downloads, media mentions, policy citations, and public engagement. 3. Smart Government and Funder Roles * Funding Open Infrastructure: Governments and funding agencies should invest directly in non-profit, open-source infrastructure for scholarly communication (e.g., repositories, peer review platforms, data sharing tools) rather than indirectly subsidizing commercial publishers through library subscriptions. * Mandating Open Access and Open Data: Funding bodies can mandate that research outputs funded by public money must be openly accessible and that underlying data must be shared in public repositories. This increases transparency and verifiability. * Setting Ethical Standards, Not Policing Content: Government’s role should be to establish broad ethical guidelines and frameworks for research integrity (as seen with bodies like the UGC or ICMR in India) and to ensure that institutions have robust systems in place. Direct policing of scientific content or choice of research topics would indeed be detrimental to academic freedom. * Interagency Collaboration: Fostering collaboration among national and international agencies to address cross-border research integrity issues, especially with the rise of global “paper mills.” The “Solution” is a Cultural Shift: Ultimately, the most powerful solution involves a cultural shift within academia itself. This means: * Prioritizing quality over quantity: Valuing rigorous, reproducible research over a large number of publications. * Rewarding open practices: Including data sharing, code sharing, and pre-registration as criteria for grants, promotions, and tenure. * Educating the next generation: Instilling strong ethical principles and responsible research practices from early career stages. This approach aims to reduce the leverage of commercial publishers by creating viable, community-driven alternatives, while empowering researchers and their institutions to be the frontline guardians of integrity, without inviting overbearing government oversight. It’s a long process, but significant momentum is building in this direction.