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Leaving some bids in the red area, just in case we scam swept all those lows $BTC

XRP, showed renewed strength following a brief pullback. After dipping slightly below the $2.03 mark, XRP rebounded, breaking into an upward trajectory that touched just above $2.10 before a slight pullback, stabilizing near $2.05 at press time . This recent price behavior suggests potential profit-taking, while the broader technical outlook presents key levels. The price has held firm above psychological support at $2.00, potentially signaling growing investor confidence. Historical support near $1.95 offers a stronger floor for long-term holders should pressure increase. XRP has recovered from brief dips, holding above immediate support zones. The area between $1.98 and $2.00 has repeatedly absorbed selling pressure, reinforcing it as a key demand zone. The $1.95 level remains a crucial historical support below that. On the upside, resistance near $2.10 remains the immediate hurdle that halted the latest rally. Additional minor resistance clusters sit around $2.07 and $2.09. If bulls push through the $2.10 mark, the next target appears to be $2.15, a zone with psychological significance and alignment with previous resistance points. The 20-day EMA at $2.22 presents further significant resistance. Related: SEC vs Ripple Latest: What Recent Twists Mean for XRP’s Future Clarity Trading volume dropped noticeably (down 29% over 24 hours to $4.97 billion), reflecting a possible cooldown phase as investors reassess direction. The volume-to-market-cap ratio sits at 4.17%, indicating moderate but slowing interest. The Relative Strength Index (RSI) near 37.80 remains in bearish territory, although nearing the 30-mark associated with oversold conditions, which could potentially prompt a price bounce if selling pressure eases. The MACD indicator also stays negative, confirming lingering bearish momentum despite the recent rebound. Analyst Egrag Crypto offered a projection suggesting significant volatility for XRP through April, potentially revisiting lows of $1.90–$1.79 before testing highs between $2.80–$3.00. Egrag anticipates a strong upside move (62–70%) following any potential final dip, suggesting the current “boredom phase” could precede a “final blastoff. Related: XRP vs BTC: Glassnode Data Contrasts Retail vs Institutional Rally Paths Despite mixed short-term indicators, Coincodex projections suggest a possible rise to $2.68 by year’s end, reflecting a potential gain of over 31% from current levels. Achieving this target would depend on overcoming near-term resistance and broader market conditions. Disclaimer: The information presented in this article is for informational and educational purposes only. The article does not constitute financial advice or advice of any kind. Coin Edition is not responsible for any losses incurred as a result of the utilization of content, products, or services mentioned. Readers are advised to exercise caution before taking any action related to the company.

The artificial intelligence (AI) industry, riding a wave of unprecedented growth and innovation, is now setting its sights on the next frontier: artificial general intelligence (AGI). While recent capital raises by prominent AI startups, such as Anthropic’s multi-billion dollar funding rounds and Mistral AI’s rapid ascent to unicorn status, highlight immense investor confidence in the current trajectory of AI, experts believe the field’s true potential has yet to be fully realized. Himanshu Tyagi, co-founder of Sentient and a professor at the Indian Institute of Science, argues that the path to AGI lies in embracing decentralized AI. Addressing the challenges of developing AI capable of human-level reasoning and task completion, Tyagi emphasized the need for “completely new data on human strategies and specialized models trained on this data.” He contends that the data required for building AGI goes beyond readily available information found on the internet. Instead, it encompasses “deeper heuristics and strategies that humans use for different tasks,” such as complex sales techniques or innovative brand design. This data, often rooted in strategic competitions like technical interviews, presents a significant collection challenge. “If we choose centralized silos to collect this data, it will be of limited utility,” Tyagi stated, advocating for “decentralized, open, and incentivized mechanisms” to gather truly valuable data. The challenges extend to model development, where Tyagi emphasizes the need for “people to freely contribute their trained models with specific skills and alignment.” He also points out the necessity of providing “compute resources at Google scale for training their models.” According to Tyagi, “decentralized model ownership with incentives and decentralized training solves these problems.” The push for decentralized AI is gaining momentum as the industry grapples with the limitations of centralized data and model development. With AGI representing the next major leap in AI evolution, the ability to harness diverse human intelligence and collaborative model training could prove pivotal. Tyagi’s insights, shared with Bitcoin.com News, suggest that the future of AGI may not be built in the closed labs of tech giants but rather through a collaborative, decentralized ecosystem. This vision aligns with the broader trend of decentralization across various industries, where community-driven innovation is increasingly seen as a powerful catalyst for progress. As AI continues to evolve, the role of decentralized platforms in shaping its future remains a critical area of exploration. Meanwhile, the Sentient co-founder argues that building the next generation of AI, particularly solutions aimed at achieving AGI, is a complex undertaking rife with challenges and requiring a nuanced approach. He warns young developers about the “great initial optimism” that often accompanies building AI applications, emphasizing that the journey from proof of concept to a stable, scalable product is fraught with complexities. Large language models (LLMs), while powerful, introduce errors and vulnerabilities, including hallucinations, factuality issues, and potential security risks. Addressing these challenges, he says, demands a new software layer and specialized model training—capabilities that early-stage teams may lack. His advice is to “sharply focus on their specific use case and rely on external offerings for resolving these issues.” Sentient Chat, he highlights, is designed to provide such services, offering AI search APIs, hosted models, agentic frameworks, and Trusted Execution Environment (TEE) libraries as accessible tools for agent builders. Notably, Sentient’s models are tailored for specific use cases and communities and are open-source, allowing developers to understand their functionality and avoid vendor lock-in. Sentient’s vision extends beyond just providing tools. It aims to foster a “collective agentic intelligence offering” for AI users, contributing to the broader goal of building an ecosystem for truly open AGI. This commitment to open-source models and frameworks aligns with the growing emphasis on decentralized AI, where collaborative development and community-driven innovation are seen as crucial for unlocking the full potential of AGI. In addition to providing tools for agent builders, Sentient Chat is positioning itself as a challenger to traditional search engines by building a community-owned AI chatbot, Tyagi disclosed. This approach, he argues, offers a significant advantage over existing models that primarily focus on information retrieval. Tyagi explained that while Google has dominated search for decades, its model is fundamentally limited to finding information on the internet. “Given how Google makes most of its revenue from advertisements through recommending sources for this information, it will be very hard for Google to move away from this,” he stated. However, he believes AI presents an opportunity to transcend this limitation. “We can simply get things done directly instead of gathering information first, analyzing it, and then taking action,” Tyagi said. To achieve this, Sentient Chat is building an ecosystem of AI agents powered by diverse data sources and contributions from a community of developers. “To realize this crazy future, we need many varied sources of indexed data and many builders to offer agents that take the final action,” Tyagi emphasized. This requires a transparent, open ecosystem where data providers and agent builders are incentivized to participate, all under community governance. The co-founder outlined the importance of data providers understanding the value their data brings to the platform and agent builders being able to seamlessly integrate and offer various services. This community-governed approach is crucial for fostering innovation and creating a more dynamic and action-oriented search experience, he argues. Tyagi also hinted at the rapid expansion of Sentient Chat’s capabilities, stating, “By the way, there are much more than 15 agents coming on Sentient Chat!” This suggests a growing platform with increasing functionality and a commitment to empowering its community of users and developers. In essence, Sentient Chat aims to move beyond traditional search by building a collaborative, community-driven platform that enables users to directly accomplish tasks through AI agents, potentially disrupting the current search paradigm. 免责声明：本文章仅代表作者个人观点，不代表本平台的立场和观点。本文章仅供信息分享，不构成对任何人的任何投资建议。用户与作者之间的任何争议，与本平台无关。如网页中刊载的文章或图片涉及侵权，请提供相关的权利证明和身份证明发送邮件到support@aicoin.com，本平台相关工作人员将会进行核查。

Bitcoin continues to hover near the $82,000–$85,000 range as buyers struggle to regain momentum, while key on-chain data hints at interesting underlying dynamics. By Edris Derakhshi On the daily timeframe, BTC is attempting to defend the $80K support zone after another rejection from the $88,000 resistance and the 200-day moving average nearby, which now acts as a dynamic barrier. The price remains range-bound between $80,000 and $88,000, with no clear directional resolution yet. The RSI has also pulled back below the midline after failing to break above 60, showing a lack of strong momentum. Buyers need to see a confirmed daily close above $88,000 to invalidate the recent lower highs and reattempt the $92,000 level. On the downside, any clean break below $80,000 may open the path toward $74,000 and even $68,000. On the 4-hour chart, BTC was recently rejected sharply from the red resistance zone around $88,000 after consolidating below it for several days. This strong rejection, followed by a swift drop back into the $82K range, indicates short-term supply remains strong. Moreover, the RSI has cooled off from overbought levels and is now trending near 40, suggesting a loss in bullish momentum. For now, $80,000 remains the line in the sand, while the area between $86,500–$88,000 continues to cap upside attempts. A break from either side of this range is likely to trigger the next impulsive move. By Edris Derakhshi The Miner Reserve continues its long-term decline, marking one of the most sustained distribution trends by miners in years. This steady sell-side pressure from miners suggests they’ve been taking profit consistently throughout the rally, with the reserve now at multi-year lows near 1.81M BTC. While this persistent reduction hasn’t caused a structural breakdown in price, it does add a layer of supply pressure that could weigh on rallies, especially if retail demand softens. It also implies miners may be expecting lower prices or simply preparing liquidity ahead of the halving, making this a key metric to monitor in the coming weeks.

$XRP Support+HTF Trend confluence. Last area to hold or it’s fucked imo