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Sora: The Revolution in Video Creation with Artificial Intelligence: Everything You Need to Know

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Sora: The Revolution in Video Creation with Artificial Intelligence: Everything You Need to Know

Introduction to Sora: The Revolution in Video Creation through Artificial Intelligence



Sora, an innovative artificial intelligence system developed by OpenAI, is revolutionising visual content creation by generating realistic videos from text descriptions. This advancement marks a milestone in machines’ ability to understand and depict the visual world, opening new frontiers in audiovisual production and digital creativity. Sora’s creation has sparked great anticipation across various fields, from entertainment to advertising and education, due to its potential to automate and streamline multimedia content production.

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Sora is a versatile and groundbreaking tool backed by advanced artificial intelligence technologies. Since its launch, It has piqued the interest of industry professionals and the general public alike, and its impact is expected to continue expanding as new applications and capabilities are discovered.

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Operation of Sora: From Text to Video



Sora stands out for its ability to transform text into realistic videos, thanks to an artificial intelligence approach based on generative language models like those used in GPT and DALL-E. This technology inherits the advantages of large language models, combining various modalities of text, code, mathematics, and natural languages.

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The video creation process begins with Sora interpreting the text input. This textual description can range from a simple phrase to a complete paragraph, which the AI ​​converts into a coherent sequence of moving images that reflect the essence of the original description.

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Sora relies on a deep neural network trained with large amounts of visual and textual data to achieve this. During training, the model learns to associate text patterns with visual elements, enabling the generation of coherent and realistic videos in response to various input instructions.

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Sora uses sequences of video `patches´, similar to the text tokens used in GPT-4, to represent and process visual information. These `patches´ are essential for training generative models on different types of videos and images, defining the spatial-temporal dimension and order of the final result.

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The quality of the results improves with training computation, which requires a robust infrastructure of video and processing chips. Additionally, Sora leverages techniques like DALL-E’s re-captioning and ChatGPT to convert short user descriptions into detailed instructions.

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Sora represents a significant advancement in machines’ ability to understand and represent the visual world, providing new opportunities for high-quality multimedia content creation and setting standards in artificial intelligence innovation.

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Sora’s Creation: Advances in Artificial Intelligence

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Sora, the innovative artificial intelligence tool developed by OpenAI, is the result of years of research and advancements in AI. While OpenAI has not disclosed all the details of how Sora was created, it is known to be based on previous technologies developed by the company, such as the generative language models GPT.

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The development of Sora has been made possible by a multidisciplinary approach combining expertise in computer science, machine learning, natural language processing, and computer vision. OpenAI engineers and scientists have collaborated to design and train the AI models necessary to convert text into realistic videos.

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The process of creating Sora likely involved the collection and labelling of large datasets to train the machine learning algorithms. Additionally, significant improvements are likely made to the neural network architecture used by Sora to enhance its ability to understand and generate coherent visual content from text descriptions.

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While specifics about Sora’s development have not been fully disclosed, its creation represents a significant milestone in machines’ ability to interpret and generate multimedia content creatively and autonomously.

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Sora’s Capabilities

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Sora exhibits impressive capabilities in transforming text into visually compelling videos. Beyond landscapes, Sora can depict various scenarios, from bustling cityscapes to serene countryside settings. For example, when given a description of a bustling metropolis, Sora can create a dynamic video showcasing skyscrapers, bustling streets, and vibrant city life. Similarly, describing a tranquil beach scene enables Sora to generate a video featuring golden sands, rolling waves, and clear blue skies.

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 Sora’s versatility extends to storytelling, where it can animate characters and scenes based on narrative prompts. Sora can generate engaging animated videos with lifelike characters and immersive environments by providing a storyline featuring characters and their interactions.

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Additionally, Sora’s capabilities transcend static imagery, as it can simulate dynamic elements such as weather effects, day-night transitions, and realistic movements. Whether capturing a thunderstorm’s excitement or a starry night’s tranquillity, Sora brings text-based descriptions to life with stunning visual fidelity.

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Challenges and Advances


During the development of Sora, significant challenges arose, particularly in the intricate tasks of understanding natural language and producing visually coherent content. These challenges stemmed from the complexities of interpreting human language nuances and translating them into meaningful visual representations. However, advancements in artificial intelligence, particularly in natural language processing and deep learning, facilitated substantial progress. Breakthroughs in these areas empowered Sora to surmount these obstacles, enabling it to achieve remarkable precision and realism in generating videos directly from text inputs. By leveraging sophisticated algorithms and neural network architectures, Sora has revolutionised the landscape of content creation, offering unprecedented capabilities in transforming textual descriptions into vivid visual narratives.

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Future of Sora

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The future of Sora looks promising, with the possibility of this technology being available to the general public soon. Sora is expected to significantly impact various industries, including entertainment, advertising, education, and more. Its ability to automatically generate high-quality visual content could revolutionise how content is created and consumed on the internet (especially on social media), opening new opportunities and challenges in artificial intelligence and media production.

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Conclusions


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In summary, Sora represents a significant advancement in artificial intelligence, demonstrating the ability to generate realistic videos from text automatically. Although challenges lie ahead, such as improving contextual understanding and generating even more sophisticated content, Sora’s potential impact on visual content creation is undeniable. With an exciting future ahead, Sora has the potential to transform how we interact with digital media and artificial intelligence overall.



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Crypto World

Crypto Execs Push Back on Viral Claim

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Crypto Execs Push Back on Viral Claim

A market analysis viewed almost 5 million times on X states that Bitcoin derivatives have turned the cryptocurrency’s 21-million-supply cap into a “theoretically infinite” one.

Past Bitcoin (BTC) falls had a clear catalyst, but sharp drops in the opening months of 2026 have sparked several theories, ranging from digital asset treasuries (DATs) blowing up under pressure to a lingering hangover from October’s mass liquidation cascade.

Robert Kendall, author of “The Kendall Report,” claimed he cracked it in his viral X post. He argued that Bitcoin’s valuation logic based on fixed supply “died” once cash-settled futures, exchange-traded funds (ETFs) and other financial instruments were layered on top of the asset.

However, executives and researchers across the digital asset industry rejected Kendall’s analysis. Several told Cointelegraph that leverage affects price dynamics without changing Bitcoin’s underlying supply.

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Kendall suggested that derivatives undermine Bitcoin’s scarcity. Source: Robert Kendall

Harriet Browning, vice president of sales at institutional staking company Twinstake, told Cointelegraph, “When institutions allocate via ETFs and DATs, they are not diluting scarcity, as there will still only ever be 21 million. They are not minting new Bitcoin.”

“Instead, they are putting Bitcoin into the hands of long-term institutional holders who deeply understand its value proposition, not speculative traders looking for a quick exit,” she added.

Scarcity, lost coins and the question of effective float

When Bitcoin was first introduced to the world, the only way to acquire it was to buy it from other enthusiasts, mine it or trade it for pizza. Soon, crypto exchanges became available and opened retail access to the spot market.

In 2026, investors can also gain exposure through financial products built on spot crypto. To put it simply, Bitcoin now has a paper market of its own. However, skeptics of Kendall’s analysis said that a paper market does not damage Bitcoin’s scarcity.

“Gold has a massive paper market in futures, ETFs and unallocated accounts that dwarfs physical supply, yet nobody argues gold isn’t scarce. Paper claims don’t change the amount of gold in the ground, and the same logic applies to Bitcoin,” Luke Nolan, a senior research associate at CoinShares, told Cointelegraph.

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Bitcoin is often compared to gold for similarities like headlining the internet generation’s own gold rush, being a store of value and being a hedge against currency debasement. It is also programmed to a hard supply cap that doesn’t fluctuate even when investment products are built on top of it, much like a gold bar wouldn’t magically sprout out of its own derivatives.

Bitcoin is often compared to gold, but the metal smashed records, while its digital counterpart struggled. Source: TradingView

Like precious metals, new Bitcoin enters the market through a process called mining. Instead of digging the earth, the system rewards those who verify transactions on the blockchain about every 10 minutes. Those rewards are sliced in half every four years, so Bitcoin’s supply growth slows over time, along with the amount of virgin Bitcoin entering the economy.

As of February, about 19.99 million BTC has been mined, though Nolan calls this metric misleading, as not all of these coins are available for investors. Users can lose their passwords or take them to their graves. Up to 4 million coins are estimated to be permanently lost.

In September, 14.3 million BTC, or over 71% of mined coins, was counted in Bitcoin’s illiquid supply. Source: Glassnode

With more spot Bitcoin becoming inaccessible, Nolan claimed that the institutional access layer actually reinforces Bitcoin’s scarcity.

“Spot ETFs require physical BTC to be held in custody, and in 2025 alone, combined ETF and corporate treasury holdings grew significantly. That is real supply being pulled off the market,” he said.

Related: Are quantum-proof Bitcoin wallets insurance or a fear tax?

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Bitcoin’s shift to derivatives-led price formation

Even critics of Kendall’s supply argument acknowledge that Bitcoin’s short-term price discovery now leans heavily on instruments tied to institutional markets.

Derivative activity has increasingly shifted to traditional finance venues. CME futures overtook Binance in BTC futures open interest in late 2023, although Binance recently regained the lead.

Binance and CME have traded leads in BTC futures open interest as of late. Source: CoinGlass

“Derivatives markets have become the primary venue for expressing institutional views on Bitcoin, and as a result, they now play a central role in spot price discovery,” said Browning.

Browning added that derivatives and ETFs influence Bitcoin’s spot price through three main transmission channels.

First, markets like CME influence short-term price discovery because institutional traders express their bullish or bearish views in futures before the spot market. When futures prices diverge from spot prices, traders opt for arbitrage strategies, such as basis trades, to close the gap. According to Browning, hedge funds routinely buy spot Bitcoin or its ETFs while shorting CME futures to capture the premium between the two.

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Second, when banks sell Bitcoin-linked notes to clients, they typically hedge their exposure by buying Bitcoin through ETFs, effectively creating more spot demand.

Related: Banks can’t seem to service crypto, even as it goes mainstream

Third, crypto-native perpetual futures can spill over into the spot market through funding-rate arbitrage. When funding rates are positive, heavy long positioning encourages traders to buy spot Bitcoin and short futures to earn funding payments, adding spot demand. When funding turns negative, that flow can reverse and pressure the price.

“Today, derivatives volumes frequently exceed spot volumes, and many institutional participants prefer derivatives, alongside ETFs, for capital efficiency, hedging and short exposure,” Browning said.

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“Spot markets increasingly serve as the settlement and inventory layer, while derivatives increasingly influence marginal price discovery, and new price levels are negotiated.”

Derivatives don’t delete Bitcoin’s scarcity from the blockchain

The rise of Bitcoin’s paper market means investors no longer have to directly hold BTC to gain exposure.

Futures and perpetual contracts allow investors to express bullish or bearish views, hedge risk or deploy leverage. Similar derivatives have long existed in commodities markets without altering the physical amount of gold, oil or other assets in circulation.

Nima Beni, founder of crypto leasing platform BitLease, told Cointelegraph:

“The premise that synthetic exposure destroys scarcity is as flawed as a misapplied commodity-market analogy used about paper gold. It was wrong then; it’s wrong now.”

Kendall defended his position after Bitcoiners equipped with their own arguments flooded his viral post.

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“I’m not arguing [derivatives] ‘delete’ scarcity from the blockchain. What I’m saying is they shift where marginal price is set,” he said.

Kendall’s response was only seen about 3,000 times. Source: Robert Kendall

Bitcoin’s 21-million cap remains unchanged in code. No derivative contract, ETF or structured product can mint new coins beyond that limit. But what has evolved around Bitcoin is price discovery.

Derivatives increasingly shape marginal price formation before flows filter back into spot. That alters how and where Bitcoin’s value is negotiated.

Both Kendall and his critics ultimately agree on that point.

Magazine: Bitcoin may take 7 years to upgrade to post-quantum: BIP-360 co-author

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