Noticias

According to Foresight News, Tether CEO Paolo Ardoino is set to reveal new developments related to Tether AI today at the Milan Artificial Intelligence Week. The announcement is expected to highlight advancements in the integration of AI technologies within Tether's operations.

According to PANews, Tencent has introduced its AI programming assistant, CodeBuddy, designed to generate complete code repositories using natural language. The tool offers features such as code completion, diagnostics, optimization, refactoring, unit testing, and code review. Additionally, CodeBuddy integrates with the WeChat ecosystem knowledge base and is compatible with the MCP open ecosystem. The service is now accessible to users.

According to Foresight News, OpenAI has launched HealthBench, a new benchmark for assessing AI performance in medical settings. Developed collaboratively by over 250 doctors worldwide, HealthBench includes 5,000 real health dialogues. The benchmark aims to evaluate the capabilities of large language models in healthcare scenarios and is now available as open-source on GitHub.

According to BlockBeats, artificial intelligence company Perplexity has seen its valuation soar to $14 billion following a recent $500 million funding round. This significant increase in valuation highlights the growing interest and investment in AI technologies.

According to Foresight News, decentralized AI protocol Prime Intellect is set to open source its distributed reinforcement learning model, INTELLECT-2. This model supports decentralized training research and introduces the PRIME-RL framework, TOPLOC verification, and SHARDCAST weight distribution to enhance training stability. It is based on the QwQ-32B model, improving mathematical and coding performance. Future plans include increasing inference computation ratio, tool invocation, multi-round reinforcement learning, and model integration.

According to Foresight News, ai16z founder Shaw announced the launch of an autonomous agent named 'autonomous-starter.' This agent allows users to build a fully controllable computer agent using its GitHub code. While the project is described as interesting, Shaw cautions that it is 'useless' and grants complete access to all computer content, advising users to exercise caution.

According to PANews, Elon Musk recently shared on the X platform that Grok 3.5 is still in a rough state and requires approximately a week of refinement.

According to Foresight News, OpenAI founder Sam Altman recently posed a question on X, asking Grok whether he or Elon Musk should lead the future development of AI. Grok responded by highlighting that Altman's ChatGPT and Stargate projects have made AI more accessible, though their profit-driven nature raises concerns. In contrast, Musk's xAI and Colossus focus on safety and ethics, despite facing criticism regarding environmental impact and competition. Grok expressed a preference for Musk, citing the prioritization of safety as crucial for human survival. However, Grok also emphasized that the ideal scenario would involve combining the strengths of both leaders' approaches under regulatory oversight. Previously, Foresight News reported that Elon Musk's attorney, Marc Toberoff, stated that despite OpenAI's announcement of nonprofit control, Musk intends to continue his lawsuit against the organization.

According to PANews, McKinsey's Lilli case offers crucial insights into the development of the enterprise AI market, highlighting the potential of edge computing combined with small models. This AI assistant, which integrates 100,000 internal documents, has achieved a 70% adoption rate among employees, with an average usage of 17 times per week, demonstrating rare product stickiness in enterprise tools. One major challenge is ensuring data security for enterprises. McKinsey's century-old core knowledge assets and specific data accumulated by small and medium-sized enterprises are highly sensitive and not suitable for processing on public clouds. Exploring a balance where data remains local without compromising AI capabilities is a market necessity, with edge computing being a promising direction. Professional small models are expected to replace general large models. Enterprise users require specialized assistants capable of accurately addressing specific domain issues, rather than general models with billions of parameters. The inherent contradiction between the generality and professional depth of large models makes small models more appealing in enterprise scenarios. Balancing the cost of self-built AI infrastructure and API calls is another consideration. Although the combination of edge computing and small models requires significant initial investment, it substantially reduces long-term operational costs. For instance, if 45,000 employees frequently use AI large models via API calls, the dependency and increased usage scale would make self-built AI infrastructure a rational choice for medium and large enterprises. The edge hardware market presents new opportunities. While high-end GPUs are essential for large model training, edge inference has different hardware requirements. Chip manufacturers like Qualcomm and MediaTek are optimizing processors for edge AI, seizing market opportunities. As enterprises aim to develop their own 'Lilli,' edge AI chips designed for low power consumption and high efficiency will become essential infrastructure. The decentralized web3 AI market is also strengthening. As enterprises' demands for computing power, fine-tuning, and algorithms in small models increase, balancing resource allocation becomes challenging. Traditional centralized resource scheduling will face difficulties, creating significant demand for decentralized web3 AI small model fine-tuning networks and decentralized computing power service platforms. While the market continues to discuss the boundaries of AGI's general capabilities, it is encouraging to see many enterprise users already exploring the practical value of AI. Clearly, shifting the focus from resource monopolization in computing power and algorithms to edge computing and small models will bring greater market vitality.

According to BlockBeats, David Sacks, the White House's head of cryptocurrency and artificial intelligence, emphasized the need to abolish AI dissemination rules from the Biden era to win the AI race. He stated that the Trump administration plans to implement simpler regulations to unleash American innovation and ensure the country's dominance in the AI sector. Sacks highlighted that the United States should be the gold standard and preferred partner for allies and strategic partners in the AI field. He warned that if American companies are hindered by excessive regulations, foreign clients may be unable to purchase technology, potentially causing the U.S. to lose its global market share and influence. Despite these challenges, the U.S. aims to maintain its leadership while strengthening its technological framework worldwide.

According to BlockBeats, Intel shares increased by 2.86%, Nvidia by 1.85%, and AMD by 1.28% in pre-market trading on May 8. This rise follows the announcement by U.S. President Donald Trump's administration of plans to lift AI chip restrictions imposed during the Biden era.

According to Odaily, OpenAI has announced a new AI development initiative called 'OpenAI for Countries.' This plan aims to establish AI infrastructure projects in collaboration with nations worldwide. Earlier this year, on January 21, U.S. President Donald Trump announced a $500 billion investment in the 'Stargate project,' involving OpenAI, SoftBank, and Oracle. OpenAI now seeks to replicate similar projects globally, offering customized versions of ChatGPT to enhance sectors such as healthcare, education, and law. OpenAI's goal for the first phase of 'OpenAI for Countries' is to initiate ten projects with various countries or regions, with plans for further expansion. The initiative underscores OpenAI's commitment to advancing AI technology and fostering international cooperation in its development.

According to PANews, Apple is considering the integration of artificial intelligence search capabilities into its browser, as stated by Apple's Senior Vice President, Cue. This development highlights the company's ongoing efforts to enhance user experience through advanced technology.

According to BlockBeats, OpenAI is planning to expand its $500 billion data center project, known as 'Stargate,' beyond the United States. However, details regarding the project's financing and implementation have not yet been disclosed. Chris Lehane, OpenAI's Vice President of Global Affairs, stated that this investment will exceed their expectations within the U.S. The 'Stargate' project was launched earlier this year at the White House by OpenAI CEO Sam Altman, alongside U.S. President Donald Trump, SoftBank CEO Masayoshi Son, and Oracle Chairman Larry Ellison. President Trump praised the initiative, describing the $500 billion investment in U.S. artificial intelligence infrastructure during his administration as a 'declaration of confidence in America.'

According to PANews, xAI has announced a strategic partnership with TWG Global and Palantir Technologies, aiming to reshape the adoption of AI and technology in the financial services sector. The collaboration focuses on designing and deploying enterprise-level AI solutions. This partnership was unveiled at the Milken Institute conference, where Palantir CEO Alex Karp and TWG Global Co-Chairman Thomas Tull discussed their vision and application scenarios during an interview with CNBC.

According to Odaily, OpenAI has announced the acquisition of AI programming startup Windsurf, formerly known as Codeium, for approximately $3 billion. This marks OpenAI's largest transaction to date. Windsurf specializes in AI-assisted programming tools that enable developers to generate code using natural language, advancing the concept of 'vibe coding' or intent-driven programming. In 2023, the company secured $125 million in funding led by General Catalyst, with a valuation of around $1.25 billion.

According to Foresight News, CB Insights has released its 'AI 100: The Most Promising Artificial Intelligence Startups of 2025' list, highlighting FLock.io for its advancements in decentralized AI training and data infrastructure. The list was curated from thousands of startups worldwide, focusing on technological innovation, market potential, capital support, and industry impact. FLock.io stands out in the 'AI Infra / Data' category as the only project dedicated to open federated learning and collaborative model training, aiming to build a high-quality, privacy-focused AI training network. Recently, FLock.io entered a strategic partnership with Alibaba Cloud's large language model project, Qwen, to explore the integration of centralized foundational models with decentralized training networks.

According to BlockBeats, BNB Chain has recently introduced the Model Context Protocol (MCP), an open protocol designed to facilitate secure, bidirectional communication between AI applications and external data or tool systems. This development marks a significant step towards plug-and-play integration of AI agents within the Web3 domain.As part of BNB Chain's 'AI First' strategy, the MCP protocol offers a standardized interface to connect blockchain data with AI models, enabling developers to create smarter, context-aware applications. This eliminates the need for developers to build custom interfaces for each tool or dataset, allowing them to focus on their specific areas of development using this secure framework designed for the collaborative growth of Web3 and AI.Key advantages of MCP include data privacy protection, auditability of on-chain interactions, model protection and encryption mechanisms, and support for AML/KYC compliance.The launch of MCP aligns with other BNB Chain AI First initiatives, such as the ongoing global BNB AI Hackathons and the official AI Agent solutions. These solutions provide developers with toolkits, launch support, and the AI Fast Track Program to accelerate project development, along with the MVB program for projects in their maturity phase.

According to Cointelegraph, OpenAI, the creator of ChatGPT, has decided to maintain its nonprofit status, abandoning previous plans to transition into a for-profit entity. In a blog post dated May 5, OpenAI announced its intention to transform its for-profit business unit into a Public Benefit Corporation (PBC), which will remain under the control of the nonprofit organization. PBCs are structured to balance profit-making with a commitment to a social mission, ensuring that shareholder interests do not overshadow broader societal goals. This decision marks a significant shift for OpenAI, which had earlier considered spinning off its nonprofit entity to facilitate a for-profit conversion. OpenAI emphasized its foundational commitment to nonprofit oversight and control, stating that this approach will continue into the future. The organization believes that this structure will not hinder its ability to secure funding for AI development, a process that CEO Sam Altman notes could require hundreds of billions, if not trillions, of dollars. Altman communicated this strategic decision to employees, highlighting the importance of maintaining the nonprofit's guiding principles. In 2024, OpenAI had expressed a contrasting viewpoint, suggesting that a for-profit model was essential for raising the capital needed to acquire the extensive computing resources required for AI model operations. This perspective has now been reversed with the latest governance announcement. OpenAI was established as a nonprofit in 2015 and introduced a for-profit entity in 2019 to support AI developers in securing funding, while still under nonprofit control. The decision comes amid legal challenges from Tesla CEO Elon Musk, a co-founder of OpenAI, who filed a lawsuit against Altman in 2024. Musk accused Altman of breaching the terms of Musk's foundational contributions to OpenAI, alleging manipulation in the nonprofit's founding with intentions to convert it into a for-profit venture. Musk has since launched xAI, an AI chatbot developer, claiming it has suffered due to OpenAI's alleged anti-competitive behavior. Despite these controversies, OpenAI's leadership projects substantial revenue growth, anticipating $29.4 billion by 2026, with expected earnings of $12.7 billion in 2025. In March, OpenAI secured $40 billion in funding from Softbank, valuing the company at $300 billion. This financial trajectory underscores OpenAI's strategic focus on balancing nonprofit governance with ambitious growth targets.

According to PANews, Tether's CEO Paolo Ardoino has announced the upcoming launch of a new project named Tether.ai on his X platform account. Ardoino described Tether.ai's core product, 'Personal Infinite Intelligence,' as a fully open-source AI Runtime. This AI Runtime is designed to operate on any hardware or device without the need for API keys, eliminating centralized points of failure. It is also fully modular and composable. Notably, the AI Runtime will integrate WDK, presumed to be Tether's development kit, to support payments using stablecoin USDT and Bitcoin. Ardoino envisions that Tether's AI technology aims to eventually build a peer-to-peer network consisting of billions of AI agents.