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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。

Economist and gold advocate Peter Schiff issued a dire forecast for the U.S. economy on April 3 in a series of posts on social media platform X, asserting that a global shift is underway that could leave the United States behind. He pointed to a sudden plunge in key commodities as a reflection of investor sentiment, but argued that only one part of the world is likely to suffer. Schiff stated: “Commodities like oil, silver, and copper are down sharply today as investors are pricing in a global recession.” He cautioned: But the recession will mainly be limited to the U.S. The rest of the world is about to boom, as they will be liberated from having to subsidize the U.S. economy. His comments suggest a growing divergence between the economic prospects of the U.S. and other regions. In addressing the implications of this divide, Schiff highlighted what he sees as the difficult choices ahead for American policymakers and businesses. He argued that the country must shift away from reliance on imports and invest in domestic production, even if the process is disruptive. “The U.S. has a difficult road ahead. We need to start producing all the stuff we’ve been importing. That requires significant investment and painful short-term sacrifice. On the other hand, all the rest of the world has to do is consume more of what they already produce. Not only is that easy to do, but it’s also fun.” Schiff’s analysis paints a picture of a U.S. economy in need of transformation, contrasted with global economies that may benefit from reduced dependency on American demand. Schiff also revisited his criticism of tariff policy under President Donald Trump, particularly its impact on the value of the U.S. dollar. He emphasized that his view had been an outlier when tariffs were first introduced. “All the financial experts agreed that Trump’s tariffs would strengthen the dollar. I was alone in my forecast for the reverse,” he said. Noting that the U.S. Dollar Index is experiencing steep losses, he warned that the economic pain for consumers may intensify. He opined: The U.S. dollar index has fallen to its lowest level since Oct. and looks like it’s headed much lower. The argument was that a stronger dollar was going to offset the sting of the tariffs on U.S. consumers. Instead, a weaker dollar will just make the sting that much more painful. 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。

Ray Dalio, founder of Bridgewater Associates, has issued a stark warning about the economic impact of U.S. President Donald Trump’s newly unveiled tariff policies. Dalio stated that the tariff regime could lead to a surge in global stagflation and significantly reshape U.S.- China trade relations. Dalio’s analysis, presented in a recent commentary, breaks down the “first-order” effects of tariffs. He notes that tariffs can generate revenue for the imposing country while reducing global production efficiencies. This perspective aligns with Trump’s Liberation Day speech, where he reiterated claims that revenues from tariffs made the U.S. wealthy before the introduction of income tax in 1913. The Trump administration, by imposing reciprocal tariffs on both allies and adversaries, is confident that this measure, combined with spending cuts, will quickly transform the country’s deficit into a surplus. However, critics of the Trump administration argue that the tariffs will increase prices for U.S. consumers. Others warn that these have the potential to damage international trade relationships and undermine the global trading system. The Bridgewater Associates founder meanwhile cautioned that the tariffs are inherently stagflationary, creating a complex interplay of deflationary and inflationary pressures across the globe. “Tariffs are necessary in times of an international great power conflict to assure domestic capabilities for production,” Dalio acknowledged, highlighting their strategic importance in periods of geopolitical tension. Still, he also emphasized their potential to exacerbate existing trade imbalances and increase dependencies on foreign capital, which is particularly concerning during escalating international conflicts. Meanwhile, Dalio’s concerns extend beyond the immediate impact of tariffs, delving into what he called the “second-order” consequences arising from retaliatory measures, currency fluctuations, and central bank responses. He warned that reciprocal tariffs from affected nations could trigger widespread stagflation, while monetary and fiscal policy adjustments could further complicate the economic landscape. A key point of contention in Dalio’s analysis revolves around the U.S. dollar’s status as the world’s primary reserve currency. While acknowledging the benefits of this privilege, he cautioned against its potential for abuse, citing the nation’s “over-borrowing and debt problems.” Dalio suggested a potential solution in a negotiated appreciation of the Chinese yuan renminbi (RMB), a move he believes could be mutually beneficial for both the U.S. and China. “It has been said that China’s RMB should be appreciated, which probably could be agreed to between the Americans and Chinese as part of some trade and capital deal, ideally made when Trump and Xi meet,” Dalio stated. He stressed the urgent need to address existing imbalances, warning of their “dangerously unsustainable” nature. Dalio predicted “abrupt, unconventional changes” to the current monetary, economic, and geopolitical order. Ultimately, Dalio concluded, the long-term impact of these policy changes will hinge on factors such as trust in debt and capital markets, countries’ productivity levels, and the attractiveness of their political systems for living, working, and investing. 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。

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