This article was automatically translated from the original Turkish version.
The Commercial Value of Knowledge
Wikipedia’s recent licensing agreements with technology giants have become an ironic indicator of how we understand the nature of data in the digital age. Wikipedia, considered one of the internet’s “ancient citadels,” is fundamentally built on anonymity, with undefined authorship and therefore perpetual questions about its reliability. Yet it maintains its status as the most popular reference source, and its growing role as the official training ground for artificial intelligence, plunges us into a peculiar paradox. This massive repository of unverifiable data has become the raw material for technology giants, while simultaneously demanding compensation from those same companies on the grounds of its uncertain labor and copyright. Entering its twenty-fifth year, Wikipedia is undergoing a strategic turning point to align its role in crowd-sourced knowledge production with the economic and technical realities of the AI era. The platform, which has long championed the slogan of “free and open knowledge,” has now begun issuing commercial invoices to technology giants through its “Wikimedia Enterprise” program for using its vast data pool to train their models. New licensing agreements signed with industry leaders such as Amazon, Microsoft, Meta, Perplexity, and French Mistral AI aim to protect Wikipedia’s data from unauthorized “data scraping” operations. (Source: Wikimedia Foundation)
At the heart of this commercial shift lies the massive load and rising costs imposed on Wikipedia’s servers by AI bots. Data released by the Wikimedia Foundation shows that while human traffic on the platform decreased by 8 percent last year, bot traffic and automated systems harvesting data while concealing their identities have surged dramatically. Wikimedia Foundation CEO Maryana Iskander emphasizes that content will remain free for users, but the infrastructure required to serve this data carries significant costs. Founder Jimmy Wales frames the issue as one of justice: the more than eight million individual donors who sustain Wikipedia do not wish their contributions to subsidize trillion-dollar technology corporations. According to Wales, these companies should not plunder the site but instead pay fair compensation through proper channels.
Jimmy Wales argues that AI models trained on Wikipedia’s “human-curated” data—rather than the “angry” and manipulative content found on social media—would yield far healthier outcomes. Yet Wales ignores the critical question of how the reliability of this information is verified and by whom. Elevating an encyclopedia, built on a massive data pool, to such a vital role inadvertently imposes on Wikipedia an unrealistic standard of authenticity and authority. Therefore, the greater problem here is not merely that these statements are “human-curated,” but rather who curated them, for what motives, and to serve whose interests.
For now, all these commercial and technological moves have placed Wikipedia at the center of both political and industry debates. On one hand, some conservative circles in the United States label the platform “Wokepedia” and accuse it of bias; on the other, figures like Elon Musk are attempting to undermine Wikipedia’s authority by promoting alternatives such as “Grokipedia.” Yet Wales expresses no concern over this competition, noting that large language models (LLMs) have yet to produce reference texts matching Wikipedia’s quality and typically merely rehash existing information in a verbose manner.
Regardless of developments, while Wikipedia is now striving to assert its value through copyright and labor claims to preserve its reputation and avoid becoming obsolete as an LLM competitor, its original posture—of disregarding accuracy, embracing biased data, lacking clear authorship, and refusing accountability—casts serious doubt on the sincerity of its current offerings to LLMs. What remains from all these debates is the enduring and undeniable truth: knowledge, even when contested by corporate tensions, remains profoundly important and valuable.
Next-Generation Reactors, Fragile Supply: The Return of Nuclear Energy in 2026
Twentieth-century nuclear energy was built around large-scale power plants with long construction timelines. Uranium-fueled, water-cooled, high-pressure reactors played a significant role in electricity generation for decades. However, high construction costs, lengthy commissioning periods, safety concerns, and radioactive waste issues pushed nuclear energy into a controversial position in many countries. Today, the resurgence of nuclear energy is not a continuation of this old model but the result of a technological transformation that surpasses it.
Next-generation nuclear reactors are changing the fundamental assumptions of reactor technology. Small Modular Reactors (SMRs) aim to replace massive centralized plants with smaller, standardized, and scalable systems suitable for serial production. Thanks to their standardized designs, these reactors can be installed more quickly and scaled according to demand. Projects such as China’s Linglong One and experimental SMRs under development in the United States demonstrate that nuclear energy can serve not only national grids but also industrial facilities, military bases, and remote regions.
The technological transformation extends beyond reactor size. Innovations in fuel and cooling systems are reshaping nuclear safety debates. High-assay low-enriched uranium (HALEU) fuels and multi-layered TRISO fuel technologies aim to drastically reduce the risk of meltdown. Cooling systems using molten salt, liquid metal, or gas instead of water eliminate the need for high-pressure containment, redefining one of the most critical risk areas in nuclear accidents. These advances suggest that nuclear energy is evolving into a technically “safer and more manageable” power source.
Yet the renewed importance of nuclear energy by 2026 is not solely due to technology. Increasing fragility in energy supply is restoring nuclear power to a strategic priority. One of the most striking examples is Germany. Following the Fukushima nuclear plant accident, Germany made political decisions to completely phase out its nuclear program, shutting down its last reactors in 2023 in a radical move. In the short time since, energy prices, supply security, and dependence on imports have made the consequences of this decision painfully clear.
German Chancellor Friedrich Merz’s characterization of the nuclear phase-out as a “serious strategic mistake” has become symbolic of this rupture. Today, Germany meets a large portion of its energy demand through imports, and growth in renewable sources alone cannot meet the continuous energy needs of its industrial economy. Merz’s focus on next-generation nuclear technologies, particularly SMRs, signals that Germany intends to move beyond its past nuclear experience and embrace new nuclear frontiers.
When viewed together, these two trends indicate that nuclear energy’s weight in the global energy equation will increase by 2026. Technological advances are making nuclear power feasible again, while energy supply fragility is making it necessary once more. Nuclear energy is no longer solely a topic of carbon emissions debates; it now sits at the heart of energy security, industrial competitiveness, and geopolitical stability.