The NFT Crash: How a Crypto Fad Turned Into a Flop and How You Can Survive It

The NFT Crash: How a Crypto Fad Turned Into a Flop and How You Can Survive It

NFTs, or non-fungible tokens, were once hailed as the next big thing in the crypto world. They were supposed to revolutionize the way we create, own, and trade digital assets, from art and music to games and memes. They were supposed to empower artists and creators and democratize the digital economy. They were supposed to make millions for savvy investors and collectors.

But now, it seems that the NFT craze has come to an abrupt end. According to a report by DappGambl, a website that analyzes the crypto gambling industry, 95% of NFT collections have a market cap of zero. That means that the vast majority of NFTs are worthless and that millions of people who bought them have lost their money.

How did this happen? How did a crypto fad turn into a flop? And what does this mean for the future of NFTs and the cryptocurrency industry?

The Rise and Fall of NFTs

NFTs are essentially digital certificates of ownership recorded on a blockchain, usually Ethereum. They can represent any unique digital asset, such as an image, a video, a song, or a tweet. Unlike traditional digital files, which can be copied and shared endlessly, NFTs are supposed to be scarce and verifiable, giving them value and authenticity.

The concept of NFTs is not new. The first NFTs were created in 2017, with projects such as CryptoKitties and CryptoPunks. However, it was not until 2021 that NFTs exploded in popularity and price. Driven by the hype and speculation around crypto assets, NFTs attracted celebrities, artists, influencers, and investors who saw them as a new way to express themselves, support causes or make profits.

Some of the most notable NFT sales in 2021 include:

These astronomical prices created a frenzy in the NFT market, as more and more people wanted to get in on the action. New platforms, projects, and collections emerged every day, offering various types of NFTs, from art and music to sports and gaming. The supply and demand of NFTs skyrocketed, reaching a peak in August 2021, when the monthly trading volume of NFTs hit $2.8 billion.

However, this boom was not sustainable. As more and more NFTs flooded the market, their quality and originality declined. Many NFTs were simply copies or variations of existing works or concepts with little or no artistic or creative value. Many NFTs were also overpriced or overhyped, with unrealistic expectations or promises. Many NFTs were also vulnerable to technical issues or security breaches, such as hacking or minting errors.

As a result, the demand and interest for NFTs plummeted. Many buyers realized they had bought worthless or dubious assets they could not sell or use. Many sellers realized that they had missed the opportunity to cash out or diversify their portfolios. Many platforms realized that they had failed to attract or retain customers or partners.

According to DappGambl’s report, out of 73,257 NFT collections that it analyzed,

  • 69,795 collections have a market cap of zero ETH.
  • 15% of collections have less than 10 percent ownership.
  • Only 21% of collections have full ownership.
  • 18% of top collections have a floor price of zero.
  • 41% of collections are priced between $5 and $100.
  • Less than 1% of collections are valued above $6,000.

These statistics show that the majority of NFTs are worthless or unsold and that the NFT market is in a state of collapse. The report also predicts that the NFT market will continue to decline, as more and more people lose interest or confidence in NFTs.

The Future of NFTs

Does this mean that NFTs are dead? Not necessarily. While the NFT craze may have been a bubble that burst, the underlying technology and concept of NFTs still have potential and value. NFTs can still offer a novel and innovative way to create, own, and trade digital assets, as well as to support artists and creators and to democratize the digital economy.

Major challenges and limitations

However, for NFTs to survive and thrive, they need to overcome some major challenges and limitations. One of these challenges is the lack of clear and consistent regulation and standards for NFTs. This creates uncertainty and confusion for both creators and consumers, as well as for regulators and policymakers.

NFTs are currently governed by a patchwork of laws and regulations that vary across countries and jurisdictions, making it difficult to determine the legal status, rights, and obligations of NFTs and their owners. Moreover, there is no widely accepted or enforced standard for verifying the authenticity, provenance, and quality of NFTs, which leaves room for fraud, plagiarism, and manipulation.

Another challenge is the low quality and originality of many NFTs. This dilutes the value and appeal of NFTs and undermines their credibility and legitimacy. As the NFT market grows and attracts more participants, there is an influx of low-effort, low-quality, or copied NFTs that flood the market and saturate the demand. These NFTs not only reduce the scarcity and uniqueness of NFTs but also erode the trust and confidence of consumers and collectors who may question the artistic merit and cultural significance of NFTs.

A third challenge is the high volatility and speculation of the NFT market. This exposes investors and collectors to significant risks and losses and discourages long-term appreciation and adoption of NFTs. The NFT market is driven by hype, FOMO (fear of missing out), and celebrity endorsements, which create artificial demand and inflate prices beyond their intrinsic value. The market is also prone to crashes, bubbles, and scams, as seen in the recent decline of NFT sales and prices after a record-breaking peak in March 2023. These factors make the NFT market unpredictable and unstable, deterring potential buyers and sellers who seek more reliable and sustainable returns on their investments.

The last challenge is the limited accessibility and usability of NFTs. This requires technical knowledge and skills, as well as crypto wallets and platforms, to create, buy, sell, or use NFTs. NFTs are not easily accessible or usable for the average person who may not be familiar with the concepts and technologies behind them. To participate in the NFT market, one needs to have a crypto wallet that supports the specific blockchain network that hosts the NFTs, as well as enough cryptocurrency to pay for the transaction fees that can be quite high depending on the network congestion. Moreover, one needs to use specialized platforms or marketplaces that facilitate the creation or exchange of NFTs, which may have different features, functions, and interfaces.

Take proactive and collaborative actions

To address these challenges and limitations, the NFT industry and community need to take some proactive and collaborative actions. These actions include developing and adopting best practices and guidelines for creating, valuing, verifying, and marketing NFTs, as well as for ensuring their security, privacy, and interoperability.

These standards would help to establish a common framework and understanding for NFTs, as well as to protect the rights and interests of both creators and consumers. They would also facilitate the exchange and transfer of NFTs across different platforms and networks, as well as to prevent fraud, theft, or misuse of NFTs.

Another action that is needed is to explore and implement more sustainable and efficient solutions for producing and storing NFTs, such as using renewable energy sources or alternative blockchains. These solutions would help to reduce the environmental impact and cost of NFTs, as well as to improve their performance and scalability. For example, some blockchains use a consensus mechanism called Proof-of-Stake (PoS), which does not require intensive computation or electricity to validate transactions and secure the network.

Furthermore, the NFT space needs to foster more creativity and diversity by encouraging more original and innovative works or concepts, as well as more representation and inclusion of different voices and perspectives. These efforts would help to enhance the quality and originality of NFTs, as well as to showcase the artistic potential and cultural value of NFTs. They would also attract more audiences and participants to the NFT market, as well as to foster more collaboration and inspiration among creators.

Additionally, the NFT industry and community need to promote more education and awareness about the benefits and risks of NFTs and their legal and ethical implications for both creators and consumers. These initiatives would help to inform and empower both creators and consumers about their rights and responsibilities regarding NFTs, as well as to provide them with the necessary knowledge and skills to create, buy, sell, or use NFTs. They would also help to dispel some of the myths and misconceptions about NFTs, as well as to address some of the social and moral concerns that may arise from NFTs.

Moreover, the NFT industry and community need to enhance more integration and compatibility of NFTs with other platforms and applications, such as social media, gaming, e-commerce, or art. These integrations would help to increase the accessibility and usability of NFTs, as well as to expand their use cases and functionalities. They would also help to create more value and demand for NFTs, as well as to enrich the user experience and engagement with NFTs.

Finally, the NFT industry and community need to work with the right partners who can bring extraordinary results, too. For example, Oracle Red Bull Racing and Bybit launched the Velocity Pass in this quarter, and they have over 1000ETH trading volume on secondary marketplaces, including Bybit NFT, OpenSea, and Blur, since its release. The latest in its series, called Pursuit by Per Kristian Stoveland, launched on 21 September, has more than 125ETH in volume, with floor price of almost five times.

The Bottom Line

The NFT crash is not the end of the story. It is a wake-up call for the NFT industry and community. It is an opportunity to learn from the mistakes and failures of the past. It is a chance to improve and innovate for the future.

NFTs are not just a crypto fad. They are a crypto phenomenon. They have the potential to transform the way we create, own, and trade digital assets. They have the potential to empower artists and creators. They have the potential to democratize the digital economy.

But they also have the potential to fail. They have the potential to harm the environment. They have the potential to deceive investors. They have the potential to disrupt society.

The future of NFTs depends on how we use them. The future of NFTs depends on us. We will survive it.

 

 

Source: https://www.techopedia.com/the-nft-crash-how-a-crypto-fad-turned-into-a-flop-and-how-you-can-survive-it

j j j

JPEx醜聞为香港加密監管敲响警鐘

JPEx醜聞为香港加密監管敲响警鐘

Anndy Lian對最近JPEx的倒閉發表意見,該加密貨幣平台據稱詐騙了數千名投資者超過14億港元(1.8億美元)。JPEx的崩潰揭示了香港加密行業的陰暗面,並對其監管框架提出了嚴重疑問。

JPEx聲稱自己是一家獲得許可並受監管的平台,以華麗的廣告、名人背書和高回報的承諾吸引了投資者。它提供了自己的本地代幣JPC,只能在其平台上交易,還提供了比特幣和泰達幣等其他熱門加密貨幣。

然而,2023年9月,JPEx突然停止了服務,宣布正在接受香港警方對涉嫌洗錢和詐騙的調查。該平台的網站和社交媒體帳戶被關閉,其客戶服務熱線被中斷。許多投資者發現自己無法訪問資金或提取資產。

JPEx醜聞並不是一個孤立的事件。事實上,這是近年來困擾香港的一系列加密詐騙中的最新事件。2022年,另一個名為Black Cell Technology的平台因進行非法首次代幣發行(ICO)而被證券期貨事務監察委員會(SFC)關閉,該ICO從投資者那裡籌集了3,000萬美元。2021年,一個名為MyCoin的平台從3,000多名投資者那裡消失,携款3億港元(3.87億美元)。

這些案例突顯了香港在努力成為全球加密創新和應用中心時所面臨的風險和挑戰。儘管這個城市擁有充滿活力和多樣性的加密生態系統,市場上運營著100多個平台,但它也面臨著缺乏明確和一致的監管,使投資者容易受到欺詐和操縱的威脅。

香港目前對加密貨幣監管的方法基於“同風險,同監管”的原則。這意味著屬於現有證券法律範圍的加密活動受到SFC的監督和執法,而不屬於該範圍的則基本上不受監管。例如,SFC已經為提供安全代幣交易的平台發布了指南,這些數位代幣代表了底層資產或企業的所有權或經濟權益。這些平台必須向SFC申請許可,並遵守反洗錢、投資者保護、網絡安全和審計等各種要求。

然而,香港的大多數平台不處理安全代幣,而是處理交換代幣(如比特幣)或實用代幣(如JPC)。根據香港法律,這些代幣不被視為證券,因此不在SFC的監管範圍之內。結果,這些平台在法律上存在一個灰色地帶,它們不需要獲得許可或遵守任何特定的規則。

這創造了一個漏洞,允許不誠實的平台利用投資者的無知和貪婪。通過聲稱獲得許可或受到監管,這些平台可以在投資者中建立虛假的安全感和合法性,這些投資者可能不理解安全代幣和其他類型的代幣之間的區別。通過提供高回報或獎勵,這些平台可以吸引投資者投資於其本地代幣或其他無實質價值或市場流動性的陌生加密貨幣。通過使用複雜和不透明的機制,這些平台可以操縱其代幣或加密貨幣的價格和交易量,創造人工需求或供應。

JPEx醜聞是香港在追求金融創新過程中更深層次問題的一個症狀。儘管這個城市支持加密發展,並推出了各種促進金融科技增長的倡議,如監管沙箱和跨境合作,但它在應對加密活動所帶來的新風險和挑戰方面也顯得緩慢和被動。

香港需要採取更積極和全面的加密監管方法,平衡創新和保護。香港應考慮制定一個新的監管框架,涵蓋所有類型的加密資產和服務提供商,而不是依賴可能無法涵蓋全部加密活動的現有證券法律。

這樣的框架應該旨在實現以下四個主要目標:第一,防止洗錢和恐怖主義融資;第二,保護投資者免受詐騙和操縱;第三,確保公平競爭和市場完整性;第四,促進金融包容和教育。
為實現這些目標,香港應考慮實施以下一些措施:

要求所有加密平台在香港運營或為香港投資者提供服務之前向SFC或其他指定機構註冊或獲得許可。對加密平台的最低標準,包括資本適足性、風險管理、治理、披露、審計和報告方面的要求。建立一個監測和監管加密平台活動和交易的機制,包括它們對穩定幣或其他形式的數位貨幣的使用。對加密廣告和市場營銷實施嚴格的規則,特別是在社交媒體平台上,因為影響力者可能對投資者的決策產生重大影響。要求加密平台對因為其疏忽、不當行為或違約而導致投資者遭受的損失或損害負責。要求影響力者對其在加密平台或產品方面所作的虛假或誤導性陳述負責。教育投資者有關加密投資的風險和利益,以及他們作為消費者的權利和責任。鼓勵加密平台和服務提供商之間的自我監管和行業最佳實踐,例如採用行為準則、道德標準和爭端解決機制。

通過採取這些措施,香港可以增強其作為一個促進創新和應用的領先加密中心的聲譽,同時確保保護和穩定。香港還可以將自己定位為其他國家在處理加密領域的相似問題和挑戰時的典範。

JPEx醜聞是香港警覺並改革其加密監管的警鐘。這個城市不能承擔失去競爭優勢或在全球金融市場中失去信譽的代價。現在就是行動的時候。

 

Source: https://hk.investing.com/analysis/article-106191

j j j

Put ChatGPT, Bing Chat, and Bard to the Test: A Comparative Analysis

Put ChatGPT, Bing Chat, and Bard to the Test: A Comparative Analysis

In today’s rapidly changing world of artificial intelligence, language models have become essential tools with a wide range of applications. They play pivotal roles in everything from virtual assistants and chatbots to content generation and translation services. As these models push the boundaries of what’s possible, it’s imperative that we scrutinize their capabilities, acknowledge their limitations, and evaluate their real-world performance. In this opinion piece, we’ll subject three prominent language models—ChatGPT, Bing Chat, and Bard—to a rigorous examination, delving into their strengths and weaknesses while pondering the profound impact they have on our digital interactions.

Understanding the Players

Before delving into the comparison, let’s briefly introduce the contenders:

ChatGPT: Developed by OpenAI, ChatGPT is a highly advanced language model known for its natural language understanding and generation capabilities. It has been used in various applications, from chatbots to content creation.

Bing Chat: Microsoft’s answer to conversational AI, Bing Chat is a product of continuous research and development. It’s designed to facilitate natural and context-aware conversations, making it an attractive choice for customer support and virtual assistance.

Bard: While perhaps less well-known than the other two, Bard is a language model developed by Google. It’s designed for a wide range of language tasks, including translation, summarization, and chatbot interactions.

Testing Criteria

To fairly evaluate these language models, we’ll assess them based on several key criteria:

Natural Language Understanding (NLU): How well do these models comprehend and respond to user inputs?

Conversation Flow and Context Management: Can these models maintain coherent and contextually relevant conversations, even with complex inputs?

Content Generation: How adept are these models at generating coherent and informative responses, especially in content creation scenarios?

Ethical Considerations: What steps have been taken to mitigate biases and ethical concerns in these models?

Accessibility and Integration: How easily can these models be integrated into various applications and platforms?

Natural Language Understanding (NLU)

ChatGPT, Bing Chat, and Bard have all made significant strides in natural language understanding. They can process a wide range of user inputs, from casual conversation to technical queries. OpenAI’s ChatGPT, for instance, has been fine-tuned to understand and respond to various languages, dialects, and domains.

Microsoft’s Bing Chat also excels in NLU, boasting an impressive ability to recognize user intent and context. It leverages Microsoft’s vast knowledge base to provide informative responses, making it a compelling choice for customer service applications.

Bard, though less known in this arena, still demonstrates a commendable understanding of natural language. It’s especially effective in multilingual settings, owing to Google’s extensive translation capabilities.

Conversation Flow and Context Management

A crucial aspect of conversational AI is the ability to maintain coherent and contextually relevant dialogues. ChatGPT, Bing Chat, and Bard approach this challenge differently.

ChatGPT often relies on generating context from the conversation history. While it generally performs well, it may occasionally produce responses that seem out of place or disconnected from previous messages, especially in longer conversations.

Bing Chat, with its focus on context-aware conversations, tends to excel in this area. It can seamlessly manage complex dialogues and provide informative responses even when users provide incomplete information.

Bard, too, handles context reasonably well. Google’s model can maintain coherence in multilingual conversations and adapt its responses to evolving user queries.

Content Generation

Content generation is a critical application for language models, especially for tasks like writing articles, product descriptions, or creative pieces. In this regard, ChatGPT stands out as a strong performer. It can generate coherent and contextually relevant text, making it a valuable tool for content creators.

Bing Chat, while primarily designed for conversations, can still generate informative responses for content-related queries. However, it may not be as proficient in long-form content generation as ChatGPT.

Bard, developed by Google, is also adept at content generation. Its strength lies in summarization and translation tasks, but it can produce well-structured paragraphs and essays with the right prompts.

Ethical Considerations

Ethical concerns surrounding AI models are paramount in today’s discussions. OpenAI has made efforts to address biases in ChatGPT, implementing guidelines to reduce harmful and biased outputs. While it’s not perfect, these measures demonstrate a commitment to responsible AI development.

Microsoft, too, emphasizes ethical considerations in the development of Bing Chat. The company actively seeks to avoid biased and inappropriate responses and provides tools for users to report any issues they encounter.

Google, with Bard, has also acknowledged the importance of ethical AI. Google’s AI Principles guide the development of all their AI systems, with a commitment to avoiding biases and promoting transparency and accountability.

However, it’s crucial to note that none of these models are entirely free from biases or ethical challenges, and continuous vigilance and improvement are necessary to address these concerns.

Accessibility and Integration

The ease of integrating these language models into various applications and platforms is another vital aspect of their usability. ChatGPT is available through APIs, making it accessible for developers to incorporate into their projects. OpenAI offers both free and paid tiers, allowing a range of users to benefit from its capabilities.

Microsoft offers Bing Chat through Azure, providing a scalable and robust solution for businesses. It integrates seamlessly with Microsoft’s other products, which can be a significant advantage for enterprises.

Google’s Bard is accessible through Google Cloud AI, making it a viable choice for businesses already using Google’s ecosystem. It offers flexibility in terms of deployment and integration.

Conclusion

In the dynamic world of conversational AI, let’s take a closer look at ChatGPT, Bing Chat, and Bard, each bringing its own set of strengths to the table. ChatGPT really shines with its exceptional grasp of natural language and its ability to generate content that’s second to none. It’s the top pick for content creators and developers who crave a versatile language model.

Now, Bing Chat steps up to the plate with its knack for managing context and reading user intentions like a pro. It’s the go-to choice for applications that require impeccable customer support and virtual assistance, and the fact that it seamlessly blends into Microsoft’s ecosystem is a huge plus for businesses.

And let’s not forget Bard. While it might not be as famous as the other two, it packs a punch with its multilingual skills and its knack for content creation. In scenarios where translation and summarization are vital, Bard could carve out its own special niche.

But here’s the scoop: deciding among these language models isn’t just about their features. It’s also about the specific needs of your project, ethical considerations, and how easily they fit into your existing setup. As AI charges forward, it’s our responsibility as developers, businesses, and users to keep up with these models’ capabilities and quirks. Armed with this knowledge, we can make smart choices and steer AI development in an ethical direction. With ongoing improvements and an eye on fairness, these models can continue to jazz up our digital interactions and make the online world more welcoming and accessible to all.

 

Source: https://wishu.io/put-chatgpt-bing-chat-and-bard-to-the-test-a-comparative-analysis/

j j j