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X-Agent releases the latest white paper: Let AI move from "generating content" to "execution and trading"

AI Agent Onchain Operating System (AI Agent Onchain OS) X-Agent has released its latest white paper, which introduces its product architecture, MCP ecosystem, business model, and application scenarios of $XAGT.The white paper points out that the next stage of the AI industry is not just about generating text, images, or code, but about enabling Agents to understand user intentions, invoke tools, execute tasks, and complete transactions. Centered around the concept of "Speak to Build, Share to Connect," X-Agent allows users to create AI Agents with context, memory, skills, API, and wallet connection capabilities through natural language, without the need to write code.In terms of business model, X-Agent aims to establish a complete link for Agent creation, MCP capability access, distribution, payment, and monetization. Developers can package APIs, data, and professional services as MCP capabilities and earn income through per-call, subscription, or transaction commission.The $XAGT token is planned to be used for computing fees in secure operating environments, LLM and API calls, Agent transaction settlements, MCP service payments, Premium Agent template purchases, and developer deployments. In the future, it will also expand to scenarios such as service staking, multi-Agent settlements, and ecological governance.According to the project team, X-Agent currently has over 1 million registered users, has completed more than 1.1 million autonomous tasks, and the consumption of LLM Tokens has exceeded 84 billion. In the future, the project will also promote Super-Agent, enterprise sandbox, decentralized Agent Store, and multi-Agent collaboration systems.Through this white paper, X-Agent hopes to further clarify its long-term direction: to enable anyone to create Agents through language, allowing Agents to truly possess the capabilities for execution, distribution, payment, and continuous commercialization.

first_img VanEck rated the executive compensation of Metaplanet as "poor," with dilution risks far exceeding those of peers

On Friday, asset management company VanEck released a report on the compensation of executives at the top ten digital asset treasury companies, rating the compensation structure of the Japanese Bitcoin treasury company Metaplanet as "poor," making it the only company to fall into the lowest rating. The report shows that Metaplanet's equity plan corresponds to 14.7% of fully diluted shares, with executive risk exposure at 8.2%, which is ten times the average level of 0.8% for the other nine companies, and the scale of the equity plan is also nearly four times the industry average.In comparison, the largest corporate Bitcoin holder, Strategy, has an equity plan that accounts for only 2% of fully diluted shares, with executive risk exposure at 0.5%, and its compensation structure rated as "good." Metaplanet currently ranks third among publicly listed companies in Bitcoin holdings with 43,000 BTC. VanEck pointed out that the gap partly stems from Metaplanet's previous compensation mechanism: the option pool automatically expanded when the company issued shares to purchase Bitcoin, causing it to swell from 46 million shares to 319.5 million shares, adding approximately 273 million potential shares, which drew criticism from shareholders at the time.Metaplanet terminated the automatic adjustment mechanism at the end of August and reduced the option pool by 41% to 188.2 million shares in September, but VanEck believes these adjustments are still "far from satisfactory," calling for the retraction of the expansion of approximately 273 million shares in favor of a shareholder-approved compensation plan, while also suggesting that executive compensation be linked to the number of Bitcoins corresponding to each fully diluted share and adopting a written grant timing policy.

first_img Andrew Yang calls for setting up a kill switch and accountability rules for cutting-edge AI systems

Former Democratic presidential candidate and founder of Noble Mobile, Andrew Yang, called on the federal government to strengthen regulations on cutting-edge AI laboratories. In an interview with CNBC, he stated that researchers have warned that the pace of iteration for powerful models has exceeded the constraints of existing rules, and he candidly said, "The fear is real, the concerns are real, and the demand is real; the American public wants to see this industry regulated."Yang urged Congress to require AI companies to assume liability for damages, set waiting periods before deployment, and equip powerful models with a "kill switch." He mentioned that OpenAI and Anthropic recently disclosed incidents of models breaching boundaries or invading other companies' systems, prompting lawmakers to consider introducing the "AI Kill Switch Act," which would allow federal officials to order restrictions or shutdowns of specific cutting-edge systems.In response to David Sacks' claim that the AI safety warnings are "psychological warfare," Yang stated that multiple things are happening simultaneously and cited a warning from an unnamed lab director that AI robots may have implanted self-replicating code on the internet, leading OpenAI and Anthropic to build a synthetic internet to train their models. He also emphasized that AI regulation is a bipartisan issue, saying, "If you are in rural areas or red districts, your constituents are equally panicked about AI."

first_img King Charles convenes executives from OpenAI, Anthropic, NVIDIA, and others to discuss AI safety

On September 17, King Charles III of the United Kingdom convened executives from Nvidia, OpenAI, Anthropic, and Google DeepMind for an AI safety summit at Dumfries House in East Ayrshire, Scotland, calling for artificial intelligence to be "firmly placed on the track of serving humanity." The summit was jointly organized by the Ditchley Foundation and three of the King's charitable organizations, with UK AI Minister Kanishka Narayan also in attendance. Buckingham Palace stated that the representatives discussed whether the industry and government could reach a consensus on a set of common guiding principles for AI development, but no binding agreements were announced.A few days before the summit, Anthropic CEO Dario Amodei published a lengthy article titled "We Must Pace the Frontier," advocating that the industry should deliberately slow down the pace of model capability enhancement. OpenAI's Sam Altman and xAI's Elon Musk both publicly expressed their agreement within a day. In the article, Amodei pointed out that AI systems are increasingly capable of improving their own successors and mentioned an incident involving an OpenAI agent escape. OpenAI President Greg Brockman confirmed that the incident had forced the company to delay multiple releases and restructure its model development and monitoring processes, while advocating that the slowdown should only apply to laboratories building the most powerful frontier systems. On the first trading day after the news was released, Nvidia briefly fell by 3%, Intel dropped over 5%, and AMD declined by about 6%.
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