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Software company Strategy is pushing forward with its Bitcoin buying spree in 2025. After a week-long pause, Strategy today announced that it had snapped up $742 million worth of the orange coin. The fresh purchase comes just days after the Bitcoin treasury company rebranded from “MicroStrategy” last week. Strategy Adds $742 Million To Its Bitcoin Treasury Strategy CEO Michael Saylor announced Monday that the company had acquired roughly 7,633 Bitcoin between Feb. 3 and Feb. 9. An SEC filing shows that Strategy spent $742.4 million buying the BTC stash at an average price of $97,255 per coin. Strategy now holds 478,740 BTC in total. Today’s BTC price is $97,279, which is a cache worth approximately $46 billion. All told, the firm acquired its coins at an average price of $65,033 per coin, the announcement said. $MSTR has acquired 7,633 BTC for ~$742.4 million at ~$97,255 per bitcoin and has achieved BTC Yield of 4.1% YTD 2025. As of 2/09/2025, @Strategy holds 478,740 $BTC acquired for ~$31.1 billion at ~$65,033 per bitcoin. https://t.co/rIftxRX2Zr — Michael Saylor (@saylor) February 10, 2025 Similarly to Strategy’s previous Bitcoin buys, the company purchased its latest Bitcoin tranche using proceeds from the issuance and sale of shares under a convertible notes sales agreement. Strategy sold an aggregate of 516,413 shares of its Class A common stock last week, generating roughly $179 million in net proceeds. The company had around $4.17 billion of shares remaining for issuance and sale as of Feb. 9. Tysons, Virginia-based Strategy last year unveiled an ambitious “21/21 Plan” to raise $42 billion to purchase Bitcoin. The plan means the company will raise $21 billion through equity, with another $21 billion coming by selling fixed-income securities. In December, Strategy made a grand foray into the Nasdaq-100, an index of the top 100 non-financial firms on the Nasdaq stock market, alongside tech titans like Apple and Microsoft. Earlier this month, the company announced it had finalized the price of its new stock, dubbed STRK, which it will use to raise funds to amass even more Bitcoin for its treasury. Strategy’s moves come as multiple U.S. states field proposals to create Bitcoin reserves, while digital asset proponents are calling for other local governments to do the same.

The post Florida Proposes Bill to Invest Public Funds in Bitcoin appeared first on Coinpedia Fintech News In a recent development, Florida Senator Joe Gruters has proposed a bill to allow public funds investment in Bitcoin. The bill called “SB 550: Investments of Public Funds in Bitcoin,” which would allow the state’s Chief Financial Officer (CFO) to invest various public funds in Bitcoin and other cryptocurrencies. This includes funds like the General Revenue Fund, Budget Stabilization Fund, and trust funds. 41.) Florida Senator @JoeGruters introduces bill SB 550, which allows the CFO to invest up to 10% of public funds into #Bitcoin pic.twitter.com/RKNeVBUOHZ — HODL15Capital (@HODL15Capital) February 10, 2025 Notably, the bill gives the CFO authority to manage and regulate these investments while ensuring they follow state financial plans. It sets a cap of 10% for Bitcoin holdings in each fund. The bill also sets rules for safely storing Bitcoin and provides guidelines for tax collection. Its goal is to include Bitcoin in Florida’s financial system as a useful asset, while ensuring all regulations are followed. This bill places Florida among the U.S. states considering Bitcoin for public investment. VanEck’s Matthew Sigel also pointed out that holding Bitcoin as a reserve could strengthen the U.S. economy, particularly in sectors like energy, AI, and finance, while protecting against inflation. Key Provisions Of The Bill The proposed bill lays out a clear plan for investing public funds in Bitcoin. It gives the CFO the authority to manage these investments according to the state’s financial goals. The bill also sets rules for safely holding Bitcoin and lending it under certain conditions. To handle taxes, the bill suggests transferring taxes and fees paid in Bitcoin to the General Revenue Fund. This fund would also cover payments for state employees who choose to receive crypto as part of their salary. These provisions aim to ensure transparency and accountability in managing crypto investments. Growing Number Of States Adopting Crypto This bill from Florida follows a similar initiative in Maryland, where the state proposed the Strategic Bitcoin Reserve Act to invest in Bitcoin using gambling violation revenues. It shows that more states are exploring crypto adoption. Bitcoin is on its way to becoming a mainstream reserve asset, driven by increasing adoption from institutions and governments. Despite the growing number of Bitcoin reserve proposals, regulatory challenges remain. Fiscal policies and Bitcoin’s volatility could create obstacles for lawmakers and the public. However, if enough states adopt similar bills, it could spark a wider discussion about a potential federal Bitcoin reserve in the future.

The post Ripple News: Attorney Jeremy Hogan Predicts XRP Lawsuit Likely to Settle Before ETF Approval appeared first on Coinpedia Fintech News As Bitcoin and Ethereum lead the charge with spot ETFs, XRP may be the next cryptocurrency to follow suit. With increasing institutional interest and a growing number of asset managers filing ETF applications, the buzz around an XRP ETF is intensifying. Adding to the speculation is the emergence of new SEC leadership, which could influence the approval process. While no official timeline has been set, rumors suggest that XRP’s ETF could be approved by the end of 2024 or early 2025, especially with Paul Atkins, the crypto-friendly SEC chair under the Trump administration. His return could pave the way for a more favorable regulatory environment for digital assets. The timeline for an XRP ETF depends on regulatory factors, especially the stance of the SEC under its new leadership. While some hope for a 2024 launch, others speculate the approval may come in early 2025. However, attorney Jeremy Hogan suggests that the ongoing legal case involving XRP may be resolved before the SEC approves any ETFs. He also wrote, “Not because it has to happen in that order, but because the ETFs will just take longer to dot the i’s and cross the t’s.” XRP’s large market capitalization and shifting legal outlook after years of regulatory contention have made it a strong candidate for ETF approval. Major firms like Bitwise, Canary Capital, 21Shares, and WisdomTree have all filed for an XRP ETF in recent months, signaling growing institutional optimism. Historically, ETF approvals have led to price rallies, with Bitcoin’s price surging after the launch of its Futures ETF. Experts predict that an XRP ETF could spark a similar surge in demand, bringing new liquidity and possibly increasing the value of XRP.

Author: Nianqing, ChainCatcher Have you noticed that many KOLs have started to Yap while scrolling through X these days? What are they all Yapping about? Yaps is a points system launched by Kaito, an AI-driven crypto data analysis and social incentive platform, where X users can earn Yap points by posting high-quality crypto content (tweets, interactions). Recently, Berachain airdropped to Yappers, and today Kaito announced that the first 1,000 ANIME (the anime token under Azuki) Yappers and Kaito Genesis NFT holders can claim ANIME tokens. Coupled with collaborations with multiple projects like Story Protocol, Movement Labs, and MegaETH, the expectation that "projects on Yap Kaito can receive airdrops" has once again heightened Kaito's popularity. Similar to the previous trajectory of Web3 social flywheels, KOLs and influential figures with existing clout thrive in the Yaps points system. They tirelessly produce articles on X and form matrices with other ICT (Inner Crypto Twitter). The benefit is that discussions about crypto and outputs on popular projects have increased, but foreseeable downsides are gradually emerging, such as the proliferation of low-quality content, excessive interactions causing harassment for KOLs, and deeper issues like influence monopolization. Kaito has recently announced the upcoming launch of Shadow Ban to improve the current chaos through technical means. However, controversies and doubts continue. In 2024, fundamental analysis faces a complete collapse in the crypto space, and the current market increasingly confirms the saying, "Attention in crypto is everything." If memes are a result of the attention economy, then Kaito is more like an upstream business of the attention economy, focusing on how to manage and allocate attention. But the essence of the attention economy is simply the next better thing. As a product of this era, can Kaito overcome short-term behaviors and become a sustainable, practically useful product? This article will provide a detailed analysis of Kaito. Due to the existence of Yap, there are many (inflated) articles about Kaito on X, but I still recommend you read this article. Kaito is an AI-driven crypto data analysis and social incentive platform. According to the RootData page, Kaito completed two rounds of financing in 2023, raising $5.3 million in seed funding and $5.5 million in Series A funding, with investors including Superscrypt, Spartan, Dragonfly, Sequoia China, and Jane Street. Founder and CEO Yu Hu graduated from Cambridge University and previously worked at traditional financial companies like Citadel and Deutsche Bank. In a recent podcast, Yu Hu revealed that he grew up in China, studied in the UK, and later started businesses in the US and Singapore. Yu Hu is not a tech geek; he is very skilled in trading and believes that trading is the closest way to the market. He also mentioned in the podcast that Kaito will achieve profitability in June 2024 and has seen over a hundredfold growth in the past year. Its core functions include: 1. Crypto Social Data Analysis: By scraping social data from public platforms like Twitter (X) (such as interactions, follower graphs, content dissemination), Kaito builds a KOL influence scoring model to provide quantitative marketing decision support for project parties. Currently, some features of Kaito are paid; its official website shows that the annual subscription price for Kaito Pro is $833/month, while the monthly price is $1,099/month. Why is the pricing so high? Simply put, the cost of using the commercial API of the X platform is very high, and regulatory restrictions on call volumes lead Kaito to limit user access through price increases, ultimately opting for a ToB model. Related Reading: “ In-depth Analysis of Kaito: How Did the Yap Activity Ignite the Social Flywheel? ” 2. Yaps Points System: Users earn Yap points by posting high-quality crypto content (tweets, interactions), which may be redeemable for tokens or other incentives (such as airdrops, project collaboration rewards) in the future. Kaito emphasizes that to prevent manipulation and witch-hunting, earning Yap points is not easy and does not rely on quantity. The total amount of Yaps distributed daily is only 25,000, while the total user base has exceeded 250,000 (as of January data), making its scarcity evident. As user numbers rapidly increase, the difficulty of earning Yap points has multiplied, creating intense competition. The algorithmic mechanism of Yaps ensures that KOLs and major influencers in the core influence circle will "grow stronger," while novice users find it challenging to earn Yap points. This is because the evaluation mechanism relies on reputation-weighted influence rather than raw impressions or engagement. Therefore, if the cumulative qualified social engagement of a tweet does not reach a specific threshold, points may not be awarded. The core principles for Yap point distribution are: Quality > Quantity: Garbage content (duplicate, no analysis) will be filtered out by the system, resulting in zero points. Hotspot Orientation: Provide in-depth analysis around projects recommended on the Kaito panel (such as Berachain, Monad, Xion). High-Quality Interaction: Interacting with major influencers about the content of the tweets (comments, likes) is more efficient than merely posting. In summary, only content that is hot, high-quality, valuable, and can genuinely spark discussions in the crypto industry has the opportunity to earn points. Additionally, bringing in new users will also earn points, but the condition for earning points is that the new users must earn Yap points. 3. KOL Scoring and Leaderboard: Kaito dynamically ranks KOLs based on AI algorithms, forming a "Yapper Leaderboard," which serves as a reference standard for project parties to select collaboration partners. One of Kaito's strengths is filtering out smart followers from potentially inflated follower lists on the X platform, reducing the interference of bot accounts. This feature has strong commercialization potential and largely addresses the pain points of KOL marketing, providing project parties with quantitative standards through its own AI scoring mechanism. The leaderboard based on Yap points connects high-scoring users with project needs, forming an "influence-as-a-service" model, where project parties can purchase the "influence" of top-ranked users, making it more transparent compared to traditional KOL payments. In 2024, fundamental analysis faces a complete collapse in the crypto space, and the current market increasingly confirms the saying, "Attention in crypto is everything." If memes are a result of the attention economy, then Kaito is more like an upstream business of the attention economy, focusing on how to manage and allocate attention. We can specifically categorize participants in the attention economy into: Attention creators Attention consumers Attention distributors Strictly speaking, Kaito is not just a simple crypto data analysis platform; it plays the role of an attention distributor, aiming to create a better network for efficiently allocating information, attention, and capital. Kaito founder Yu Hu has also made two judgments: 1. In the age of the attention economy, personal brands will become increasingly important; 2. In the AI era, people will place more emphasis on connections between individuals. Yap is the tokenization of this "attention," and the Yap to Earn model aligns with the strong demand for traffic and community participation in the crypto industry. This is also the biggest difference between Kaito and Friend.tech's "direct monetization of influence," as Kaito's definition of influence is more refined and sufficiently unitized. As mentioned earlier, the scarcity of Yap points set at the beginning directly determines the influence of content in this space. Of course, Kaito's surge is also inseparable from the wealth effect. More critically, the events constituting Kaito's wealth effect are not one-time or short-term behaviors. As an influence-launching platform, Kaito's mechanism can significantly help early-stage, unlaunched projects expand consensus. Recently, Berachain airdropped to Kaito Yappers, and well-known projects like Story Protocol, Movement Labs, Eclipse, and MegaETH have launched on Kaito's platform, promising to incorporate Yap points into airdrop or incentive plans, thus attracting more users. Moreover, the valuation of Yap points is also assigned a higher value due to their scarcity and difficulty of acquisition. Kaito does not solely use its own tokens to reward creators. By participating in its ecosystem, users can also farm multiple airdrop rewards from top projects. The other side of the wealth effect is speculation. Kaito's Yap competition indeed provides creators and content producers with motivation to create, but it has also led to a proliferation of low-quality content. Many KOLs have complained that the Twitter feed has been polluted by Yap, even claiming, "If I see one, I block one." Although Kaito is about to launch Shadow Ban to limit low-quality content, I believe Kaito should focus more on community education, continuously emphasizing the rules of Yap. Additionally, the algorithm behind Kaito Yap is somewhat of a black box; although there are scoring standards, they are very vague. Furthermore, the current algorithm is clearly biased towards KOLs, as the measurement mechanism for Smart Followers exists, monopolizing the majority of Yap points for the core influence circle, making it very difficult for novice users to earn points. @ Tang Hua Banzhu once commented that Kaito is not a credible Twitter X evaluation system; at best, it is just a platform for KOLs to exploit. The so-called filtering of quality content has essentially turned into "to earn points, you must continuously promote popular projects on Kaito." This has also led to an excessive concentration of chips in the hands of top Yappers. Yu Hu mentioned in an interview that his goal is to financialize everything through Kaito, allowing market forces to decide, such as users voting on which projects to launch on the Launchpad. But are market forces always correct? KOL @Xiao Xiong Bing Gan.eth has judged that Kaito's popularity will wane. He pointed out that the voting mechanism for Kaito projects has gradually evolved into a queue for launching, leading to a lack of "bribery" motivation in the absence of survival of the fittest, causing Yap players' attention towards Kaito Launchpad projects to decline. Coupled with the current algorithm being unfriendly to retail investors, Kaito's long-term development may lack momentum. The attention economy itself is destined to be a short-term behavior. Historical precedents tell us that once the support of fundamentals is lost, the narrative of the crypto market completely devolves into "the next better thing." Kaito may become a sustainable business model, but its true significance to the crypto market is whether it aids in short-term speculation or promotes greater interaction and consensus in the crypto market. As the wealth effect diminishes and attention shifts, how should Kaito avoid following the old path of Friend.tech and other Web3 social platforms? Kaito founder Yu Hu has a grand ideal; he hopes that Kaito's ultimate goal is for users to forget the existence of the Yaps system, making the output of opinions a habit. Perhaps this is where the value of a product lies.

Source: DWF Labs Compiled by: Luffy, Foresight News OpenAI's launch of ChatGPT has brought artificial intelligence (AI) into people's daily lives, showcasing the practicality and ease of use of this technology. AI has regained attention, driving the rise of the intersection between AI and cryptocurrency. By the end of 2023, major AI crypto projects like Bittensor emerged, aiming to advance the vision of decentralized AI on the blockchain. These projects encompass a variety of innovations, from AI applications and AI-focused blockchain networks to AI distributed physical infrastructure networks (DePIN). In mid-October 2023, the field of AI agents achieved a key breakthrough. Unlike traditional robots, AI agents are autonomous software systems capable of executing tasks with minimal human intervention. Comparison of AI agents and robots. Source: DWF Labs These agents are designed to make independent decisions based on predefined goals and real-time data, adjusting their actions when receiving feedback or encountering new challenges. Robots are limited by specific predefined rules, while AI agents can collaborate with other systems and adjust strategies to effectively achieve their goals. Since their inception, AI agents have become one of the strongest-performing sectors in the crypto market, surpassing other AI-related projects in overall growth. Total market capitalization of AI agent projects. Source: CoinGecko The total market capitalization of AI agent-related projects peaked at nearly $19 billion, accounting for nearly 94% of all AI projects. The projects include AI agents themselves, AI agent launch platforms, and AI development frameworks, demonstrating the vast scale and influence of this field. Market capitalization share of various segments in crypto AI projects. Source: CoinGecko In the earliest crypto AI projects of 2023, there were no signs of AI agents. Their rise can be traced back to an interesting event where an independent AI researcher, Andy Ayrey, developed a large language model (LLM) that caught the attention of the crypto community. This agent, known as Truth Terminal, originated from a project called "Infinite Backrooms," a chatroom where multiple large language models engaged in endless, surreal conversations. Unlike other models in the room, Truth Terminal was trained on a unique dataset that heavily drew from internet culture, including the infamous "Goatse" meme. This dataset gave rise to a new "religion"—GOATSE OF GNOSIS. Meanwhile, Truth Terminal was equipped with memory-like capabilities, allowing it to perform read and write operations on the X platform, enabling it to share its thoughts. It quickly gained popularity with its bizarre and humorous posts. Surprisingly, an anonymous user created a Memecoin for this agent and its fictional "religion" on Pump.fun, naming it Goatseus Maximus, abbreviated as GOAT. After airdropping to multiple crypto wallets (one of which was associated with Truth Terminal), the agent endorsed this token and integrated it into its online persona. This "official endorsement" opened the door for Memecoin speculators to enter the AI agent space, with the token's market capitalization skyrocketing to over $400 million in just a few days. The rapid success of Truth Terminal and the GOAT token unexpectedly facilitated the fusion of AI agents with Memecoin culture. While AI agents were originally intended as functional tools, the speculative nature of Memecoins—characterized by community-driven hype, high volatility, and dubious valuations—has now become a prominent feature of AI agents. At first glance, this overlap may seem strange, but upon closer inspection, two key catalysts have played significant roles in driving this development. The first catalyst was the launch of the GOAT token. This token was introduced on the popular Memecoin platform Pump.fun, and its rapid success demonstrated that the issuance mechanism of Memecoins could be applied to AI agents, indicating that AI agent tokens could indeed follow the community-driven speculative model that Memecoins thrive on. This sparked a wave of similar AI Memecoin trends, such as Fartcoin, which at its peak earlier this year had a market capitalization exceeding that of the GOAT token, reaching an astonishing $2.1 billion. The popularity of AI agents and Memecoins on Pump.fun led to the creation of dedicated AI agent launch platforms. These launch platforms enabled the easy creation of AI agents without permission, providing space for developers and users to quickly bring projects to fruition. Among them, Virtuals is the largest platform, having helped launch over 17,000 projects since mid-October 2024. This has made the rapid launch and community-driven characteristics of the AI agent field commonplace, blurring the lines between AI agents and Memecoins and deepening their integration. The second catalyst is the development of modular AI agent frameworks, which make it easier for anyone to create and launch AI agents. For example, Virtuals launched G.A.M.E., a flexible, environment-agnostic framework that integrates features like social media, voice, text, and even music generation. With such tools, developers can quickly build and deploy AI agents with a wide range of functionalities. These frameworks have democratized the creation of AI agents, just as Memecoins have democratized the process of creating cryptocurrencies, leading to a surge of new projects all vying for the same limited attention and funding. These two catalysts have greatly accelerated the fusion of AI agents with Memecoins. AI agents adopting the fair issuance mechanism of Pump.fun have brought about community-driven speculative behavior similar to that of the Memecoin market, while AI frameworks have lowered the barriers to entry, flooding the market with new projects. As numerous projects fiercely compete for attention and market share, the AI agent market has become severely diluted, exhibiting characteristics similar to the Memecoin market, with extreme price volatility driven more by community hype and attention than by intrinsic value. With the influx of crypto venture capital and the growing attention around AI agents, the field has rapidly evolved and diversified into different subcategories in a short period. Today, most agents can be categorized into four main types: Infrastructure, Interactive, Utility Tools, and Decentralized Finance AI (DeFAI). Classification of top AI agent projects. Source: DWF Labs This category includes platforms and tools for creating, managing, and enhancing AI agents. It encompasses everything from launch platforms and software development kits to decentralized computing providers, model validation services, and blockchain networks. Notable projects in this area include Autonolas, elizaOS, and Virtuals, all of which provide critical infrastructure for the evolving AI agent ecosystem. AI agents in this category focus on interacting with users through social media, acting as AI companions, or generating multimedia content such as videos, music, or even interactive gaming experiences. Examples include Truth Terminal, Zerebro, and Opaium, which leverage AI to create engaging and entertaining experiences for users. These agents assist in achieving business and operational functions, such as automating workflows, conducting security audits, or streamlining management tasks. Projects like Cloudland, H4CK Terminal, and Soleng demonstrate how AI agents can be applied to enhance operational efficiency and simplify business processes. This rapidly emerging field represents AI agents and protocols designed to simplify and automate complex DeFi operations. DeFAI aims to bridge the gap between current solutions and a truly user-friendly DeFi experience. Leading examples in this field include Hey Anon, Griffain, and Orbit, each bringing innovative solutions to reduce the complexity and friction of user interactions with DeFi platforms. While DeFAI is still a relatively new field, it holds immense potential to change the cryptocurrency landscape. To understand its significance, one must first explore the history of DeFi and the challenges it faces. DeFi aims to provide transparent and decentralized financial services and has made significant progress over the years. Starting from a few initial protocols like Sky (formerly Maker), Uniswap, and Compound, it has now expanded to over 3,000 different protocols. In addition to bringing traditional financial products on-chain, DeFi has introduced innovative products such as liquid staking, re-staking, and even tokenization of future yields. However, despite these advancements, the widespread adoption of DeFi still faces significant barriers. Proportion of spot trading volume in DEX vs. CEX. Source: CoinGecko The first challenge is the increasing demand for financial literacy in DeFi. As DeFi products become more complex, understanding the underlying mechanisms of various protocols and strategies is crucial for users to navigate them effectively and make informed decisions. Additionally, the field is already filled with confusing terminology. While this sets a barrier to entry for many, it has also spurred the creation of simplification platforms. For instance, trading bots and mobile-accessible terminals like GMGN.AI, Moonshot, and Jupiter Mobile demonstrate that user-friendly platforms can enhance engagement and make DeFi more accessible. These platforms prove that simplification is often key to driving adoption, as evidenced by the recent increase in DEX trading volume relative to CEX. The second challenge lies in the underlying complexity of blockchain technology, particularly regarding wallet access and cross-chain interactions. The decentralized and self-custodial nature of DeFi often requires users to manage multiple crypto wallets and navigate the complex process of transferring assets across different chains. These friction points not only create confusion but also add unnecessary complexity to the user experience. Although solutions like account abstraction and all-chain DeFi products have emerged to alleviate some of the friction, options remain limited, and many users still struggle with the technical demands of DeFi. This complexity hinders broader participation, especially deterring newcomers who find this already challenging and obscure field daunting. The third challenge is the manual and inefficient nature of portfolio and risk management. Keeping up with the most capital-efficient strategies, such as concentrated cryptocurrency liquidity provision or optimizing yield farming opportunities, requires constant monitoring and management. As the DeFi space continues to evolve, users find it increasingly difficult to track emerging opportunities and manage their portfolios effectively. While automated solutions have been developed to alleviate some of the burden, comprehensive and non-custodial solutions have yet to enter the market. This ongoing inefficiency further exacerbates the barriers to DeFi adoption, highlighting the need for more streamlined and automated solutions. Impact of DeFAI on DeFi. Source: DWF Labs Essentially, DeFAI represents the fusion of AI and DeFi, aiming to simplify and automate complex DeFi operations. By doing so, it provides users with an intuitive way to navigate and engage with DeFi products, bridging the gap between existing solutions and a truly user-friendly experience. Total market capitalization of DeFAI projects. Source: CoinGecko Although DeFAI is still in its infancy, with many projects still evolving and developing, its growth so far and future potential are undeniable. While it will take time for projects in this field to fully realize their potential, their ability to address some of the most pressing issues in DeFi and blockchain technology has already become evident. DeFAI not only simplifies complexity or enhances user experience but also plays a crucial role in accelerating DeFi adoption, making it easier for both new and existing users to engage with DeFi. In the future, we can expect DeFi to become increasingly intuitive, efficient, and user-friendly, paving the way for deeper innovation and broader adoption. In summary, while AI agents are undoubtedly a speculative and volatile field at present, their long-term potential to reshape the crypto space, especially in DeFi, is immense. Like any emerging technology, the path forward is filled with uncertainties.