In a post on its official X (formerly Twitter) newsroom account, OpenAI wrote:

“These ‘OpenAI tokens’ are not OpenAI equity. We did not partner with Robinhood, were not involved in this, and do not endorse it. Any transfer of OpenAI equity requires our approval—we did not approve any transfer. Please be careful.”

The statement follows Robinhood’s recent announcement of a tokenized stock product for EU customers, allowing them to trade digital tokens tied to both public and private companies—including OpenAI and SpaceX. According to Robinhood, these tokens represent fractional ownership through a special purpose vehicle (SPV), providing exposure to shares typically inaccessible to retail investors. The offering is positioned to align with European crypto regulations.

Unclear Ownership Rights and Investor Risks

While Robinhood claims the tokens are backed by underlying equity via legal agreements, OpenAI’s message indicates no formal relationship exists between the two companies. The firm emphasized that any legitimate equity transfer requires its explicit approval, which has not been given.

As of this writing, Robinhood has not responded publicly to OpenAI’s statement.

Tokenized stocks are gaining attention as a new asset class, especially in jurisdictions with flexible crypto regulation. However, analysts caution that such instruments—particularly those involving private firms—can create confusion around investor rights and legal standing.

Legal experts note that token holders may not receive the same benefits as traditional shareholders, such as voting rights or dividends, and that access to financial information in private companies remains limited.

OpenAI’s clarification appears to be a preemptive move to protect its brand and prevent potential investor misinterpretation. Investors are advised to review the structure and legitimacy of tokenized products carefully—especially when the underlying company has not publicly confirmed its involvement.

Edward R

Edward is a technology journalist at Blockiance who focuses on the intersection of AI and blockchain. With a degree in artificial intelligence, he excels at explaining complex innovations to a broad audience. Edward’s forward-thinking reporting has earned him a growing readership in the tech community.

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The open-weight nature of Llama 4 means that the models are publicly downloadable and can be run locally on powerful hardware without relying on third-party cloud APIs. While this enables greater control and experimentation for developers, there may still be some restrictions on how the models can be modified or used commercially, depending on licensing terms.

Today is the start of a new era of natively multimodal AI innovation.

Today, we’re introducing the first Llama 4 models: Llama 4 Scout and Llama 4 Maverick — our most advanced models yet and the best in their class for multimodality.

Llama 4 Scout
• 17B-active-parameter model… pic.twitter.com/Z8P3h0MA1P

— AI at Meta (@AIatMeta) April 5, 2025

Among the key models introduced are Llama 4 Scout and Llama 4 Maverick—both accessible through Meta’s official Llama platform and on Hugging Face. These models are built to enhance Meta AI, the company’s virtual assistant integrated across its platforms like Messenger, WhatsApp, and Instagram. A third model, known as Llama 4 Behemoth, stands out for its size and role as a training teacher for the rest of the Llama 4 family. With a massive architecture of nearly two trillion parameters, Behemoth is engineered to handle complex AI challenges, particularly in multilingual understanding, math problem-solving, and image-related tasks.

Llama 4 Scout is particularly impressive for its balance of efficiency and intelligence. Built with a mixture-of-experts (MoE) design, the model uses 17 billion active parameters out of 16 specialized expert modules, allowing it to process multimodal data such as text and images efficiently. Despite its capability to handle around 10 million tokens at once, Scout is optimized enough to run on a single Nvidia H100 GPU, reflecting Meta’s push toward accessible, high-performance AI development.

Behemoth, on the other hand, is not just the largest of the models but also acts as a foundational tool that fine-tunes and elevates the performance of the smaller variants. Its massive scale and multimodal capabilities have reportedly helped Meta surpass benchmark scores previously held by major players in the AI space, including Google’s Gemini 2.0, OpenAI’s GPT-4o, and Mistral’s latest models.

Meta has positioned this launch as more than just a technical upgrade—it’s a strategic statement about the future of open AI. The company claims that Llama 4 models outperform competing systems in core benchmarks related to mathematical reasoning, multilingual processing, and vision-language tasks. Even Sundar Pichai, CEO of Google, acknowledged the achievement publicly by congratulating Meta’s team via a post on X (formerly Twitter).

Never a dull day in the AI world! Congrats to the Llama 4 team, Onwards!

— Sundar Pichai (@sundarpichai) April 5, 2025

With this release, Meta is doubling down on its open-weight approach, betting that developer freedom, local operability, and transparency will set it apart in the AI arms race. As these models become more integrated into consumer-facing apps, and as developers start experimenting with their capabilities, the next few months may reveal just how much of an impact Llama 4 can truly make.

Edward R

Edward is a technology journalist at Blockiance who focuses on the intersection of AI and blockchain. With a degree in artificial intelligence, he excels at explaining complex innovations to a broad audience. Edward’s forward-thinking reporting has earned him a growing readership in the tech community.

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OpenAI CEO Sam Altman addressed the decision in a public post on X (formerly Twitter), citing unsustainable infrastructure demands caused by an unexpected surge in image generation requests.

it's super fun seeing people love images in chatgpt.

but our GPUs are melting.

we are going to temporarily introduce some rate limits while we work on making it more efficient. hopefully won't be long!

chatgpt free tier will get 3 generations per day soon.

— Sam Altman (@sama) March 27, 2025

The company’s native image generation tool, launched as part of the GPT-4o model rollout, enabled users to create and edit detailed visual content directly within ChatGPT. The feature quickly gained traction, particularly for producing illustrations styled after the iconic aesthetic of Studio Ghibli, the Japanese animation studio known for its hand-drawn storytelling and visual artistry.

Altman added that some generations are being blocked erroneously and that the engineering team is working to resolve the issues promptly.

Ghibli Trend and Its Impact

The Ghibli-style image trend, which allows users to transform photos into anime-inspired artwork, became a social media phenomenon shortly after the feature’s release. The sudden spike in usage placed significant stress on OpenAI’s GPU infrastructure, prompting the company to scale back access to stabilize performance.

Though originally available to all users—including those on the free tier—the most demanding styles, such as Ghibli illustrations, are now temporarily disabled for non-paying users. In addition, daily generation limits have been introduced to prevent further strain on system resources.

Also Read: Understanding Modular Blockchains : The Evolution of Blockchain

OpenAI has not provided a specific timeline for the full restoration of services but indicated that work is underway to optimize backend efficiency.

Studio Ghibli’s Influence

Studio Ghibli, founded in 1985 by Hayao Miyazaki, Isao Takahata, and Toshio Suzuki, is known globally for animated films such as Spirited Away, My Neighbor Totoro, and Princess Mononoke. The studio’s unique visual language—characterized by soft palettes, expressive characters, and intricate environments—has become a benchmark for traditional animation and now serves as creative inspiration for AI-generated content.

Continued Feature Rollout and GPT-4o Updates

Despite the current limitations, OpenAI confirmed that its image generation capabilities are being rolled out to Plus, Pro, and Team subscribers, with varying levels of availability. Free users will retain limited access during this transition period.

Separately, Altman also announced performance improvements to GPT-4o, which he described as particularly effective at code generation, instruction following, and general responsiveness.

Conclusion

The temporary restrictions underscore the challenge of scaling high-demand AI features in real time. As OpenAI works to balance accessibility with infrastructure stability, users—particularly those on the free tier may experience reduced functionality until further optimizations are implemented.

Edward R

Edward is a technology journalist at Blockiance who focuses on the intersection of AI and blockchain. With a degree in artificial intelligence, he excels at explaining complex innovations to a broad audience. Edward’s forward-thinking reporting has earned him a growing readership in the tech community.

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The sharp decline in Nvidia’s stock value had a broader impact, triggering a wider market selloff. Nvidia’s large presence in key indexes caused the S&P 500 to fall by up to 2.3%, while the Nasdaq 100 dropped as much as 3.6%. Nvidia’s previous downturns have contributed to seven of the top ten biggest one-day losses in the S&P 500 based on market value, according to Bloomberg data.

The semiconductor giant’s plunge comes amid growing concerns over DeepSeek’s low-cost AI model, which is perceived as a serious competitor to established U.S. companies like OpenAI and Meta Platforms Inc. DeepSeek’s AI technology, launched last week, is being touted as offering similar performance to Western chatbots but at a significantly lower price. The open-sourced AI platform, founded by Liang Wenfeng of a quant fund, has quickly risen to the top of Apple Inc.’s App Store rankings.

Also Read: U.S. Launches $500 Billion AI Infrastructure Project Stargate, with Leading Tech Firms

Analysts at Jefferies noted that DeepSeek’s technology could disrupt the current AI business model, which heavily depends on high-end chips and extensive computing power. This development raises doubts about the sustainability of the huge investments made by U.S. companies in AI.

Nvidia has benefited the most from the surge in AI spending, as its semiconductors are integral to AI technology. However, concerns are now growing about whether investors will continue to back companies spending heavily on AI without immediate returns.

Meta’s announcement on Friday to significantly increase its capital expenditures on AI projects to $65 billion this year, alongside the launch of a $100 billion venture involving OpenAI, SoftBank, and Oracle to build AI infrastructure across the U.S., has further heightened these concerns.

Meanwhile, the U.S. has imposed restrictions on the export of advanced semiconductor technologies to China in an effort to curb the country’s progress in AI. However, DeepSeek’s rapid advancement suggests that Chinese engineers have managed to overcome these barriers, focusing on efficiency despite limited resources.

Amelia White

Amelia is a senior writer at Blockiance, focusing on the cultural implications of NFTs and digital ownership. Holding a master’s in media studies, she combines her academic background with a passion for storytelling to explore how Web3 technologies reshape creative industries.

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Stargate’s primary goal is to develop critical infrastructure to support the growing demands of AI, including building data centers across the country. Oracle Chairman Larry Ellison confirmed that the first 1-million-square-foot data facility is already under construction in Texas. Trump emphasized that the project is expected to generate 100,000 jobs in the U.S., boosting domestic economic opportunities.

Sam Altman, CEO of OpenAI, described Stargate as a pivotal initiative, highlighting its importance for maintaining U.S. leadership in AI technology. “This will be one of the defining projects of our time,” Altman stated during the announcement. He noted that AI development requires significant infrastructure, including data centers, computing chips, and reliable energy resources.

Also Read: DeepSeek’s R1 Model Outperforms OpenAI’s o1 on Key Benchmarks

SoftBank, known for its substantial investment capacity, will take on the financial responsibilities of Stargate, while OpenAI will oversee operational management. Oracle, one of the largest data center operators in the U.S., will contribute its expertise in large-scale infrastructure. Another partner, MGX, is also involved in funding the initiative. SoftBank CEO Masayoshi Son will serve as Stargate’s chairman.

The initiative comes amidst growing concerns about the global AI arms race, particularly between the U.S. and China. Altman and other industry leaders have previously urged the U.S. government to prioritize AI infrastructure development to maintain a competitive edge. A recent OpenAI white paper outlined the strategic importance of such investments, emphasizing their potential to create jobs and strengthen national security. It also warned that if the U.S. fails to attract global AI funding, those resources may flow to China, potentially bolstering the influence of the Chinese Communist Party.

Oracle released a statement underscoring the strategic and economic importance of Stargate. “This project will not only secure American leadership in AI but also create hundreds of thousands of jobs while safeguarding the national security of the U.S. and its allies,” the company stated.

The announcement has drawn comparisons to previous large-scale investment projects, such as the Foxconn electronics factory deal in Wisconsin announced in 2017. Initially projected to create 13,000 jobs, that project faced significant setbacks and was ultimately scaled back. Critics remain cautious about whether Stargate will deliver on its ambitious promises, citing the mixed outcomes of similar ventures in the past.

In tandem with this announcement, Trump reversed a 2023 executive order from former President Joe Biden that sought to regulate AI risks, signaling a shift in the U.S. government’s approach to fostering AI development. Whether the Stargate initiative succeeds in reshaping the U.S. AI landscape remains to be seen, but the scale of its ambitions has already sparked widespread attention.

Charlotte H

Charlotte H is a senior journalist at Blockiance, specializing in the socioeconomic impacts of blockchain technology. With a degree in journalism, she has built a reputation for her in-depth analyses of decentralized systems and their influence on global markets. Charlotte’s meticulous research and eloquent writing have earned her recognition as a thought leader in the Web3 space.

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The model, available on the Hugging Face platform under an MIT license, can be used commercially without restrictions. DeepSeek asserts that R1 surpasses o1 on benchmarks like AIME, MATH-500, and SWE-bench Verified. AIME evaluates a model’s general performance using other AI models, while MATH-500 includes a variety of word problems, and SWE-bench Verified tests programming abilities.

R1 is designed as a reasoning model, meaning it can fact-check its own responses, reducing the risk of common errors. Though reasoning models tend to take longer to produce answers, ranging from seconds to minutes, they are generally more accurate in fields such as physics, science, and mathematics compared to typical models.

The full version of DeepSeek’s R1 model contains 671 billion parameters. In AI, the number of parameters is an indicator of a model’s problem-solving ability, with models having more parameters often demonstrating superior performance. To ensure broader accessibility, DeepSeek also offers smaller, “distilled” versions of R1, ranging from 1.5 billion to 70 billion parameters. These smaller models can run on less powerful hardware, such as laptops. Meanwhile, the full R1 model, requiring more robust infrastructure, is available via DeepSeek’s API at a price 90%-95% lower than OpenAI’s o1.

However, DeepSeek’s model has its limitations. As a Chinese-developed system, R1 is subject to regulations enforced by China’s internet authorities, which require AI responses to align with “core socialist values.” This means the model will not engage with politically sensitive topics, such as the Tiananmen Square protests or the status of Taiwan, reflecting the tight control over information that Chinese AI systems must adhere to.

Also Read: Meta Introduces “Edits,” a Cutting-Edge Video Editing App to Rival CapCut

DeepSeek’s release comes amid ongoing discussions around AI technology and its regulation. Recently, the U.S. government proposed stricter export controls targeting AI technologies and semiconductor components, which could further limit the ability of Chinese companies to develop advanced AI systems.

DeepSeek is not the only Chinese company claiming to rival OpenAI’s o1. Other labs, including Alibaba and Kimi (a subsidiary of Moonshot AI), have also produced models they say compete with OpenAI’s offerings. This growing competition highlights the accelerating pace of AI development in China.

As DeepSeek’s R1 model makes waves in the AI space, it signifies the increasing capacity of Chinese labs to produce cutting-edge models that compete on the global stage. Despite regulatory and political challenges, these models are becoming more accessible and capable, broadening the scope for AI innovation worldwide.

Amelia White

Amelia is a senior writer at Blockiance, focusing on the cultural implications of NFTs and digital ownership. Holding a master’s in media studies, she combines her academic background with a passion for storytelling to explore how Web3 technologies reshape creative industries.

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AI’s Growing Role in Science

AI has already made a big impact in science, with Google’s AlphaFold revolutionizing protein folding. Now, OpenAI is stepping into the field with its own AI model, GPT-4B, designed to assist in protein engineering. Unlike AlphaFold, which predicts protein structures, GPT-4B is focused on turning regular cells into stem cells, which could have huge implications for regenerative medicine.

The Retro Biosciences Partnership

Retro Biosciences has a bold mission to extend the human lifespan by 10 years. The company approached OpenAI with this vision, and with Sam Altman’s personal $180 million funding, the two organizations began their partnership. The collaboration uses AI to explore how to make stem cell production more efficient, which could significantly improve regenerative treatments and human longevity.

Read More: TikTok Goes Dark in the US ahead of ban

How GPT-4B Works

GPT-4B is trained on a specific set of biological data, including protein sequences and how proteins interact. This specialized AI model helps researchers design proteins that can turn regular cells back into stem cells, essentially resetting them. The model has already suggested changes to the Yamanaka factors—four genes that reprogram adult cells—making them 50 times more effective at the task. This breakthrough could lead to better stem cell therapies and advancements in aging-related treatments.

A Step Toward Artificial General Intelligence (AGI)

The success of GPT-4B in biological research also brings OpenAI closer to developing Artificial General Intelligence (AGI). Sam Altman has expressed confidence that OpenAI is on the right path toward building AGI, which could revolutionize many fields of science. AI models like GPT-4B demonstrate the potential of AI to transform research and innovation across a wide range of areas, including medicine.

Impact on Human Longevity

The main goal of this research is to extend human life. By improving stem cell production and reprogramming adult cells, OpenAI and Retro Biosciences hope to delay aging and enhance regenerative medicine. This could help reverse age-related diseases, improve tissue regeneration, and possibly extend the human lifespan by decades.

Ethical Considerations

With these advancements come ethical questions. How will these technologies be made accessible? Could extending human life have unintended consequences? These are important issues that will need careful thought as the field progresses. Ensuring AI-driven medical breakthroughs are safe and widely available will be crucial.

Conclusion

OpenAI’s collaboration with Retro Biosciences to develop GPT-4B is a huge step forward in the pursuit of longer, healthier lives. By improving stem cell production, AI could play a major role in reversing aging and treating age-related conditions. As AI continues to advance, the possibilities for medical breakthroughs seem endless, and this partnership could pave the way for a future where human life is significantly extended.

Edward R

Edward is a technology journalist at Blockiance who focuses on the intersection of AI and blockchain. With a degree in artificial intelligence, he excels at explaining complex innovations to a broad audience. Edward’s forward-thinking reporting has earned him a growing readership in the tech community.

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The Vision Behind the Proposal

Perplexity AI has long been at the forefront of innovation in natural language processing and generative AI. Through this merger, the company aims to revolutionize how users interact with content on TikTok.

By integrating advanced AI capabilities, the partnership envisions a future where personalized content recommendations, smarter search functionalities, and AI-powered creator tools elevate the platform’s offerings. Perplexity AI’s expertise could also bolster TikTok’s content moderation systems and privacy frameworks, addressing some of the platform’s long-standing challenges.

Aiming for Hyper-Personalization

One of the core promises of the merger is a new era of hyper-personalization. TikTok, already celebrated for its algorithmic feed, could take its user experience to new heights with Perplexity AI’s technology. Advanced AI systems would enable deeper insights into user preferences, delivering content that is not only relevant but also contextually tailored in real time.

Also Read: Apple Halts AI Notification Summaries for News Amid False Alert Controversy

For creators, the merger could introduce a suite of AI-driven tools to simplify content production. Features like automated editing, ideation, and audience engagement strategies could empower creators of all sizes to compete in TikTok’s vibrant ecosystem.

Why TikTok and Perplexity AI?

TikTok’s meteoric rise to over one billion active users has positioned it as the leading platform for short-form video content. Its ability to engage users with personalized feeds has set a high bar for social media platforms. Partnering with Perplexity AI presents an opportunity for TikTok to further enhance this reputation by embedding state-of-the-art AI technologies.

For Perplexity AI, TikTok offers a globally recognized platform to showcase its capabilities. The vast trove of user-generated content on TikTok serves as a valuable resource for training and refining Perplexity AI’s algorithms, creating a mutually beneficial relationship.

Industry Buzz and Concerns

The announcement has sparked considerable debate in both the tech and business worlds. Supporters hail the proposal as a pioneering step toward deeper integration of AI in everyday platforms. They argue that the merger could set new standards for user experience, content discovery, and creator empowerment.

However, the proposal has also drawn criticism. Regulatory concerns loom large, with TikTok already under intense scrutiny over its data privacy practices and links to its China-based parent company, ByteDance. The potential merger could invite further regulatory hurdles, particularly in regions like the United States and the European Union.

Additionally, there are fears about the ethical implications of deploying advanced AI on such a massive scale. Critics worry about the possibility of AI overreach, where hyper-personalized content could lead to unintended consequences, such as amplified echo chambers or increased screen time.

The Road Ahead

The bid is still in its early stages, with discussions expected to involve ByteDance, TikTok’s parent company, and regulatory bodies in key markets. Industry insiders suggest that the merger, if approved, could include a combination of financial investments, joint ventures, and technology-sharing agreements.

Perplexity AI has emphasized its commitment to collaboration and transparency. In a recent statement, the company noted that the partnership is about “building a future where AI enhances creativity, connection, and community.”

Implications for the Tech Industry

If successful, the merger could mark a significant milestone in the evolution of social media. It would highlight the growing convergence of AI and digital platforms, potentially inspiring other companies to explore similar collaborations.

The move could also spark a wave of innovation in the content creation industry. By democratizing access to AI-powered tools, TikTok could empower creators to produce high-quality videos with minimal effort. At the same time, ethical considerations and regulatory scrutiny could set new precedents for how tech giants navigate complex issues in AI deployment.

Conclusion

Perplexity AI’s bid to merge with TikTok is both bold and visionary. While it promises transformative innovations in content personalization and creator tools, the proposal also faces significant challenges. From regulatory hurdles to ethical concerns, the path forward is anything but straightforward.

As discussions unfold, the tech world will be watching closely. This proposed partnership has the potential to redefine the relationship between AI and social media, ushering in a new era of digital engagement.

Amelia White

Amelia is a senior writer at Blockiance, focusing on the cultural implications of NFTs and digital ownership. Holding a master’s in media studies, she combines her academic background with a passion for storytelling to explore how Web3 technologies reshape creative industries.

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What Are AI Notification Summaries?

The AI notification summaries, launched as part of Apple’s focus on AI-driven personalization, are designed to curate and deliver bite-sized news updates directly to users’ devices. These alerts leverage machine learning algorithms to summarize breaking news stories from trusted sources and push them to Apple News subscribers in real time.

The feature’s goal was to provide users with a quick and accurate overview of current events without requiring them to read full articles. However, recent issues have raised concerns about the system’s reliability and potential to spread misinformation.

Also Read: Donald Trump ‘Official’ Memecoin

The Problem: False Alerts

Several users reported receiving misleading or out-of-context notifications about major news events. In some cases, the summaries exaggerated details or failed to accurately convey the nuances of the stories they were based on. This led to confusion and frustration among subscribers, especially when dealing with sensitive or urgent news topics.

One notable incident involved a breaking news alert about an international diplomatic crisis. The AI-generated summary reportedly misstated key facts, prompting criticism from both users and media professionals. Such errors highlighted the limitations of relying solely on AI to handle complex and rapidly evolving news stories.

Apple’s Response

Acknowledging the problem, Apple issued a statement confirming the temporary suspension of the feature. The company emphasized its commitment to delivering accurate and trustworthy news content and stated that it would use this pause to improve its AI algorithms.

“We understand the importance of accurate news delivery and are taking immediate steps to address these issues,” an Apple spokesperson said. “Our team is working to refine the AI models and enhance the overall quality of notification summaries.”

The Role of AI in News Delivery

AI-driven tools have become increasingly popular in the media industry for their ability to process vast amounts of information and deliver personalized experiences. However, the challenges faced by Apple highlight the complexities of using AI in news delivery.

• Contextual Understanding: AI models often struggle to grasp the full context of a story, which can lead to oversimplification or misrepresentation.
• Nuance and Tone: Summarizing nuanced topics, such as political or scientific developments, requires a level of understanding that current AI models may not fully possess.
• Ethical Concerns: Misinformation and bias are significant risks when automating news curation, raising questions about accountability and transparency.

Industry Implications

Apple’s decision to pause the feature underscores a broader issue within the tech and media industries: balancing innovation with responsibility. While AI offers immense potential for improving efficiency and personalization, it also demands rigorous oversight to prevent unintended consequences.

Other tech companies employing AI in news delivery may now face increased scrutiny and pressure to ensure their systems meet higher standards of accuracy. This incident also serves as a reminder of the importance of human oversight in the editorial process, even as AI continues to play a larger role in content curation.

What’s Next for Apple?

Apple has assured users that it is actively working on updates to its AI models. The company is likely to implement more robust mechanisms for verifying the accuracy of summaries and incorporating user feedback into its algorithms.

In the meantime, Apple News will continue to deliver traditional news updates, ensuring subscribers can stay informed without relying on the suspended feature. The pause also provides an opportunity for Apple to rebuild trust with its audience by demonstrating a commitment to quality and transparency.

Conclusion

The temporary suspension of Apple’s AI notification summaries serves as a cautionary tale about the challenges of deploying AI in critical areas like news delivery. As the company works to address the issues, the incident underscores the need for careful integration of technology with human oversight to maintain accuracy and trust in the digital age.

Amelia White

Amelia is a senior writer at Blockiance, focusing on the cultural implications of NFTs and digital ownership. Holding a master’s in media studies, she combines her academic background with a passion for storytelling to explore how Web3 technologies reshape creative industries.

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