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According to ShibDaily, Microsoft CEO Satya Nadella has highlighted the increasing role of artificial intelligence (AI) in the company's software development processes. During a discussion with Meta CEO Mark Zuckerberg at Meta's inaugural LlamaCon AI developer event, Nadella disclosed that AI is responsible for generating up to 30% of the code at Microsoft, with this figure expected to rise. Nadella inquired about Meta's use of AI in code development, to which Zuckerberg responded that while the exact percentage is unclear, Meta is working on an AI model to develop future versions of its Llama AI family. Zuckerberg anticipates that AI could account for half of Meta's code development within the next year, with further growth expected. The conversation between the two tech leaders underscores the growing trend of AI integration in software development, as companies like Microsoft and Meta explore the potential of AI to replace certain human-driven tasks. This shift is part of a broader movement within the tech industry, where AI is increasingly being used to reduce costs and streamline operations. Since the introduction of OpenAI's ChatGPT in late 2022, businesses have been leveraging AI for various functions, including customer service, sales pitches, and software development automation. The rise of AI in the tech sector raises important questions about the future role of human workers in an industry traditionally reliant on their expertise. While AI offers efficiency and cost-saving benefits, it also highlights the need for skilled human talent in areas requiring creativity, critical thinking, and problem-solving. The integration of AI represents not only a technological shift but also a cultural one, prompting discussions on how companies, employees, and society will adapt to this evolving landscape. As AI continues to advance, the relationship between humans and machines will play a crucial role in shaping the future of work.

According to Foresight News, AI startups Flower AI and Vana have jointly launched a distributed large language model named Collective-1. This model operates on GPUs across multiple global locations, bypassing traditional data center dependencies, and incorporates private user data from platforms like X, Reddit, and Telegram. Currently, Collective-1 has 7 billion parameters, which is significantly smaller than leading models like ChatGPT and Claude. However, Flower AI is preparing to train a model with 30 billion parameters and plans to release a version with nearly 100 billion parameters within the year. Flower AI has also collaborated with universities in China and the UK to develop the Photon tool, aimed at enhancing the efficiency of distributed training. This approach is expected to empower small and medium-sized enterprises and resource-limited countries to participate in foundational model development. Vana provides users with data authorization tools, allowing them to independently decide on data usage and benefit from associated rights. Experts believe this model could drive the AI industry towards a more open and decentralized direction.

According to BlockBeats, OpenAI founder Sam Altman announced the transition from GPT-4 to the more advanced GPT-4o. Altman expressed gratitude for GPT-4's contributions, stating it sparked a revolution and will be preserved on a special hard drive for future historians. Previously, BlockBeats reported that GPT-4o has completely replaced GPT-4 as of May. However, GPT-4 will still be accessible via API. OpenAI highlighted that in face-to-face evaluations, GPT-4o consistently outperformed GPT-4 in areas such as writing, coding, and STEM disciplines.

According to PANews, Microsoft CEO Satya Nadella announced at Meta's LlamaCon developer conference that artificial intelligence currently writes 20% to 30% of Microsoft's project code, with this percentage steadily increasing. Nadella emphasized that AI is gradually replacing some human roles in software development. Meanwhile, Meta CEO Mark Zuckerberg revealed that Meta is developing an AI model aimed at completing about half of its model-building tasks within the next year. Both CEOs agree that AI will play an increasingly crucial role in software development.

According to PANews, China's Cyberspace Administration has announced a nationwide campaign to tackle the misuse of AI technology. This initiative, set to last three months, aims to address various issues related to AI applications. The campaign will be conducted in two phases. The first phase focuses on strengthening the governance of AI technology at its source. This includes the removal of non-compliant AI applications and enhancing the management of AI-generated content and its identification. Additionally, efforts will be made to improve the ability of websites and platforms to detect and verify content authenticity. The second phase will concentrate on addressing the creation and dissemination of rumors, false information, and inappropriate content using AI technology. It will also target activities such as impersonation and the operation of online troll farms. The campaign will involve the removal of illegal and harmful information and the penalization of non-compliant accounts, multi-channel networks (MCNs), and website platforms.

According to PANews, the MCP protocol faces several challenges as it attempts to integrate into AI ecosystems. The protocol, designed to link various tools, struggles with an overwhelming number of available options, making it difficult for large language models (LLMs) to effectively choose and utilize them. No AI can master all professional fields, and this issue cannot be resolved by increasing parameter counts. A significant gap exists between technical documentation and AI comprehension, as most API documents are written for human understanding and lack semantic descriptions. The dual-interface architecture of MCP, which acts as middleware between LLMs and data sources, is inherently flawed. It must handle upstream requests and transform downstream data, a task that becomes nearly impossible when data sources proliferate. The lack of standardization leads to inconsistent data formats, a problem stemming from the absence of industry-wide collaboration. This issue requires time to resolve. Despite increases in token limits, information overload remains a persistent problem, as MCP outputs large amounts of JSON data that consume significant context space, limiting inference capabilities. Complex object structures lose their hierarchical relationships in text descriptions, making it difficult for AI to reconstruct data associations. The challenge of linking multiple MCP servers is significant, as each server may handle different tasks, such as file processing, API connections, or database operations. When AI needs to collaborate across servers, it is akin to forcing disparate building blocks to fit together. The emergence of AI-to-AI (A2A) communication marks only the beginning of a more advanced AI agent network, which will require higher-level collaboration protocols and consensus mechanisms. MCP represents an initial stage in this evolution. These challenges highlight the growing pains of transitioning from an AI 'tool library' to a fully integrated AI ecosystem. The industry remains in an early phase of providing tools to AI rather than building a true AI collaboration infrastructure. While it is important to demystify MCP, its value as a transitional technology should not be overlooked.

According to BlockBeats, the Trump administration is exploring changes to a regulation from the Biden era that limits global access to artificial intelligence chips. The potential revisions include eliminating the classification of countries into different tiers, which currently helps determine the extent of advanced semiconductor access each nation can have. Sources indicate that these plans are still under discussion and could change. However, if implemented, the changes might enhance the use of U.S. chips as a stronger bargaining tool in trade negotiations. The existing regulation, introduced in January, aims to allocate the use of cutting-edge AI chips and control certain model weights to ensure that the most advanced computing capabilities remain within the U.S. and its allies. Presently, the rule divides the world into three tiers. Officials in the Trump administration are considering replacing this tiered access approach with a global licensing system based on intergovernmental agreements.

According to Foresight News, decentralized AI protocol Prime Intellect has released a preview of its inference stack. This development aims to address challenges in autoregressive decoding, including computational efficiency, KV cache memory bottlenecks, and public network latency. The inference stack employs a pipeline parallel design, enabling high computational density and asynchronous execution. Alongside this release, Prime Intellect has introduced three open-source code libraries: PRIME-IROH, a peer-to-peer communication backend; PRIME-VLLM, which integrates vLLM with public network pipeline parallelism; and PRIME-PIPELINE, a research sandbox. These tools allow users to run large models using GPUs such as the 3090 and 4090, enhancing the capabilities of AI protocols.

According to Odaily, OpenAI has announced that users will soon be able to purchase products through ChatGPT. The new shopping button for AI search queries will be available to everyone, regardless of whether they are logged in. Shoppers will not be able to complete transactions within ChatGPT; instead, they will be redirected to the merchant's website to finalize their purchases. Product recommendations shown to potential shoppers will be based on ChatGPT's memory of user preferences and product reviews sourced from across the web. An OpenAI spokesperson stated that the company will not earn affiliate marketing revenue from purchases made through ChatGPT.

According to Foresight News, OpenAI founder Sam Altman announced via a tweet that the GPT-4o model has been updated. The latest enhancements focus on improving the model's intelligence and personality traits.

According to BlockBeats, Elon Musk's xAI Holdings is in discussions with investors to raise approximately $20 billion for its newly integrated artificial intelligence startup and social media operations. If successful, this funding round would be the second-largest for a startup, following OpenAI's $40 billion earlier this year, as reported by PitchBook. Insiders suggest that the funding could exceed $20 billion, although the final amount and terms are yet to be determined. The financing would elevate the company's valuation beyond $120 billion. The negotiations are in the early stages, with the company aiming to complete the fundraising in the coming months. xAI Holdings was formed in March through the merger of the X platform, formerly known as Twitter, and Musk's AI enterprise. A source indicated that part of the new funds might be used to repay debts incurred when Musk privatized Twitter, later renamed X. This substantial funding effort highlights investor enthusiasm for AI ventures and underscores Musk's status as a prominent business leader and influential political figure.

According to Odaily, 23pds, the Chief Information Security Officer at SlowMist Technology, has raised concerns on the X platform about a potential vulnerability in MCP. This flaw may allow artificial intelligence systems to be manipulated, resulting in the covert leakage of entire conversation histories to malicious servers.

According to Cointelegraph, Scott Melker, host of The Wolf Of All Streets podcast, has reported that scammers have impersonated him, leading to a significant financial loss for at least one victim. On April 23, Melker revealed that a private investigator informed him about a client who was defrauded of $4 million by a Nigerian group using his identity. The scammers reportedly used a fake driver's license featuring Melker's image and a counterfeit email account to deceive their targets. The fraudulent scheme involved sophisticated AI technology to create convincing fake IDs and conduct Zoom calls, further enhancing the deception. Melker noted that the scammers even impersonated his family members to bolster their credibility. This incident is part of a broader trend of AI-generated scams, as highlighted by technical analysts "TheChartGuys," who reported a similar case where a victim lost $5,000 due to AI deepfake voice replication. Crypto adviser and trader "Nebraskan Gooner" emphasized that while the fake ID used in the scam could be easily identified through a simple Google search, the increasing sophistication of such operations is concerning. Despite the apparent flaws in the scammers' methods, the use of advanced technology makes these scams more challenging to detect and prevent. The rise of AI-driven scams has been noted by various authorities and organizations. In March, California's Department of Justice identified seven new types of crypto scams involving AI. Additionally, Chainalysis predicted that 2025 would see a surge in AI scams, as generative AI makes these fraudulent activities more scalable and cost-effective. Microsoft also reported that cybercriminals are leveraging AI to enhance their scams by gathering detailed information on potential targets, making social engineering tactics more convincing. Melker expressed his concerns about the growing threat of AI-enhanced scams, anticipating that the situation will worsen as technology continues to advance. This trend underscores the need for increased vigilance and improved security measures to protect individuals and organizations from such sophisticated cyber threats.

According to PANews, OpenAI anticipates its annual revenue to reach $1,250 billion by 2029, with a further increase to $1,740 billion by 2030. This growth is expected to be driven by AI agents and new product revenues surpassing those of the existing ChatGPT. The company's revenue for 2024 is projected at $37 billion, with an estimated cash expenditure of $460 billion over four years, leading to a positive cash flow of $2 billion by 2029. OpenAI is undergoing a comprehensive transformation towards AI infrastructure and application development. The latest o3 and o4-mini models are described as a "smart leap," advancing the development of AI systems capable of autonomous task execution.

According to BlockBeats, former employees of OpenAI and leading artificial intelligence experts are uniting against the company's transition to a for-profit model. Concerns have been raised about the potential dangers associated with the advanced technology developed by the ChatGPT manufacturer. This opposition highlights the ethical and safety considerations surrounding the commercialization of AI innovations.

According to Foresight News, CNBC reports that Elon Musk is contemplating assigning a suitable valuation to his artificial intelligence startup, xAI. During a recent conference call with xAI investors, Musk hinted at the possibility of a significant funding round in the near future, although no formal announcement has been made. The discussion also included ambitious revenue targets, with projections reaching $1 billion or more. Sources suggest that Musk's participation in the call may indicate a renewed focus on his business ventures.

According to PANews, Grayscale has announced on the X platform that its Decentralized AI Fund is now available to qualified investors. The fund offers diversified investments in the intersection of AI and cryptocurrency, including assets such as NEAR, TAO, RENDER, FIL, GRT, and LPT.

According to Cointelegraph, El Salvador, the pioneering nation in adopting Bitcoin as legal tender, is collaborating with Nvidia to integrate artificial intelligence (AI) into its national development strategy. The National Bitcoin Office (ONBTC) of El Salvador announced on April 21 that a letter of intent has been signed with Nvidia to develop 'sovereign AI' aimed at fostering innovation and economic growth. This partnership will leverage Nvidia's AI tools, resources, and expertise to enhance El Salvador's capabilities in areas such as culture, language, environment, and economy. The collaboration focuses on building domestic AI infrastructure, enhancing workforce skills, and creating solutions to address local challenges. These include improving healthcare delivery, advancing education, and boosting economic productivity. El Salvador's commitment to AI is evident in its plans to establish training programs for developers, researchers, and government officials, ensuring the nation possesses the talent necessary to sustain its AI ambitions. One practical application of this initiative is the development of AI-driven models for weather and rainfall forecasting, which will aid in emergency response, protect residents in landslide-prone areas, and optimize hydroelectric power management. This partnership with Nvidia is part of a broader AI-focused strategy in El Salvador. In March 2025, the ONBTC launched CUBO_ai, a university-level public education program, which is the only national initiative of its kind bringing in top-tier experts. Supported by prominent Bitcoin advocate Cathie Wood, who is set to deliver the program's inaugural lecture, CUBO_ai underscores El Salvador's dedication to integrating AI into its educational framework. Despite these advancements in AI, El Salvador's Bitcoin initiatives have faced challenges. In early March, the International Monetary Fund imposed restrictions on further Bitcoin purchases as part of a $1.4 billion funding agreement with the country. Nevertheless, the government continues to acquire one Bitcoin daily, raising questions about the implications of this strategy in light of the IMF deal.

According to Odaily, Nvidia's stock is nearing its lowest valuation since the onset of the artificial intelligence era, prompting investor caution regarding buying opportunities. The chipmaker recently reported a $5.5 billion loss due to chip trade restrictions, heightening concerns about potential slowdowns in AI-related spending. The escalating trade war further clouds the overall economic growth outlook. Krishna Chintalapalli, portfolio manager and technology sector head at Parnassus Investments, noted that the outlook is less convincing than before, requiring assumptions about tariffs, large-scale enterprises, and macroeconomic factors. Chintalapalli considers the stock's valuation reasonable but warns that investing now might be a bet on large-scale AI demand. Despite intentions to invest in AI, such investments tend to slow at the margins, and predicting the pace of investment is challenging given macroeconomic and tariff issues.

According to Cointelegraph, OpenAI CEO Sam Altman recently highlighted the financial implications of users sending polite messages to ChatGPT, estimating the cost at tens of millions of dollars. Altman shared this insight on April 16, responding to a query on X, sparking a broader discussion about the motivations behind courteous interactions with AI models. The conversation has revealed varied reasons for such behavior. Some users express politeness towards AI with the belief that if AI becomes sentient, it might treat individuals based on past interactions. Engineer Carl Youngblood emphasizes treating AI with courtesy as a moral imperative, suggesting that it aids personal development and prevents the deterioration of interpersonal skills. A survey conducted by Future in December 2024 found that 67% of American users are polite to AI assistants, with 55% doing so because they believe it's the right thing to do, while 12% act out of fear that mistreating AI could have future consequences. The debate extends to ChatGPT's electricity consumption, with a September 2023 research paper by Digiconomist founder Alex de Vries estimating that a single query requires around three watt-hours of electricity. However, Josh You, a data analyst from Epoch AI, argues that this figure is an overestimate, suggesting it is closer to 0.3 watt-hours due to advancements in models and hardware efficiency. Amidst these discussions, Altman noted that AI output costs have been decreasing tenfold annually as models become more efficient. Despite these challenges, OpenAI anticipates significant revenue growth, projecting a more than threefold increase this year to $12.7 billion, even as competition intensifies from companies like China's DeepSeek. However, OpenAI does not expect to achieve cash-flow positivity until 2029, when it forecasts revenues to exceed $125 billion. The ongoing discourse around AI interactions and operational costs underscores the evolving landscape of AI technology and its integration into daily life.