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According to monitoring by Dongcha Beating, Tim Frank, Vice President of AI Monetization at Microsoft, announced a set of updates to the commercial infrastructure aimed at the 'agentic web', designed to ensure that publishers, merchants, and advertisers continue to be discovered, cited, and transacted in scenarios where AI agents make decisions on behalf of users. The core consists of three parts. First is the Publisher Content Marketplace (PCM), which was first reported by Axios last year and is now being scaled up. PCM helps publishers receive compensation when their paid content is cited on AI platforms, covering non-free information such as map data, product catalogs, news, and health information. Copilot is the first demand-side participant, and Microsoft is negotiating access with other AI platforms. Unlike the one-time packaged payment RAG licensing agreements currently between publishers and AI platforms, PCM follows a continuous trading market approach. The second part is commercial agreement support. Microsoft has officially launched the Universal Commerce Protocol (UCP) data source in Merchant Center, an open standard developed by Google in collaboration with companies like Shopify, allowing AI agents to directly read structured product information. It also integrates Shopify's Global Catalog into Copilot, enabling over 500,000 merchants' products to be searched and transacted within Copilot. Microsoft claims that top Shopify merchants have seen a nearly 90% increase in exposure within Copilot after integration. Copilot Checkout has been extended to mobile and integrated into the membership systems of retailers like Target. The third part involves advertising and insights tools. The AI Visibility feature of Microsoft Clarity has been expanded, helping brands see how often their web pages are cited in AI responses, compare citations with competitors, and receive content gap suggestions. New offerings include AI Max search ads (in public beta since May), Offer Highlights (showcasing product selling points in Copilot conversations), and Audience generation (describing target audiences in natural language for AI to automatically generate audience targeting). Microsoft stated that it will not take transaction commissions, only charging a low technical service fee. Frank emphasized that the company has primarily focused on enterprise services for 51 years and does not have conflicts of interest as a platform competing with its customers.

[Microsoft Builds Commercial Infrastructure for the Era of AI Agents]According to monitoring by Dongcha Beating, Tim Frank, Vice President of AI Monetization at Microsoft, announced a set of updates to the commercial infrastructure aimed at the 'agentic web', designed to ensure that publishers, merchants, and advertisers continue to be discovered, cited, and transacted in scenarios where AI agents make decisions on behalf of users. The core consists of three parts. First is the Publisher Content Marketplace (PCM), which was first reported by Axios last year and is now being scaled up. PCM helps publishers receive compensation when their paid content is cited on AI platforms, covering non-free information such as map data, product catalogs, news, and health information. Copilot is the first demand-side participant, and Microsoft is negotiating access with other AI platforms. Unlike the one-time packaged payment RAG licensing agreements currently between publishers and AI platforms, PCM follows a continuous trading market approach. The second part is commercial agreement support. Microsoft has officially launched the Universal Commerce Protocol (UCP) data source in Merchant Center, an open standard developed by Google in collaboration with companies like Shopify, allowing AI agents to directly read structured product information. It also integrates Shopify's Global Catalog into Copilot, enabling over 500,000 merchants' products to be searched and transacted within Copilot. Microsoft claims that top Shopify merchants have seen a nearly 90% increase in exposure within Copilot after integration. Copilot Checkout has been extended to mobile and integrated into the membership systems of retailers like Target. The third part involves advertising and insights tools. The AI Visibility feature of Microsoft Clarity has been expanded, helping brands see how often their web pages are cited in AI responses, compare citations with competitors, and receive content gap suggestions. New offerings include AI Max search ads (in public beta since May), Offer Highlights (showcasing product selling points in Copilot conversations), and Audience generation (describing target audiences in natural language for AI to automatically generate audience targeting). Microsoft stated that it will not take transaction commissions, only charging a low technical service fee. Frank emphasized that the company has primarily focused on enterprise services for 51 years and does not have conflicts of interest as a platform competing with its customers.

Microsoft Builds Commercial Infrastructure for the Era of AI Agents

On April 22, QCP released a market outlook stating that BTC rebounded from an overnight low of around $75,000 to near $78,000. However, this trend reflects more of a relief in positions rather than a re-establishment of confidence. The market has reduced the risk of recent escalations following the extension of the ceasefire agreement in Iran, while Waller's testimony reinforced the Federal Reserve's reliance on data-driven decisions, without signaling a dovish shift. Risk sentiment has stabilized, but macro-level pressures remain firmly in place. For cryptocurrencies, BTC's rebound is driven more by a reduction in tail risks rather than fundamental improvements. Open interest has been rebuilt, and funding rates remain negative, indicating new short positions entering rather than long positions capitulating. This keeps the squeeze dynamics in play, but market conviction remains shallow. The options market has also signaled similarly. Front-end volatility is around 40 vol, which is still relatively low compared to realized volatility; skew remains tilted towards downside protection; and the term structure shows only a mild upward slope. Positioning continues to indicate a range-bound state rather than a sustained breakout. QCP believes that future paths remain anchored to oil prices and policy directions. A decline in oil prices or clearer signals from the Federal Reserve would support risk assets. In the absence of these factors, the market is likely to remain in a wait-and-see mode, pricing in uncertainty rather than seeking definitive solutions.

[QCP: Bitcoin's Recent Rebound Driven More by Risk Reduction than Fundamental Improvement]On April 22, QCP released a market outlook stating that BTC rebounded from an overnight low of around $75,000 to near $78,000. However, this trend reflects more of a relief in positions rather than a re-establishment of confidence. The market has reduced the risk of recent escalations following the extension of the ceasefire agreement in Iran, while Waller's testimony reinforced the Federal Reserve's reliance on data-driven decisions, without signaling a dovish shift. Risk sentiment has stabilized, but macro-level pressures remain firmly in place. For cryptocurrencies, BTC's rebound is driven more by a reduction in tail risks rather than fundamental improvements. Open interest has been rebuilt, and funding rates remain negative, indicating new short positions entering rather than long positions capitulating. This keeps the squeeze dynamics in play, but market conviction remains shallow. The options market has also signaled similarly. Front-end volatility is around 40 vol, which is still relatively low compared to realized volatility; skew remains tilted towards downside protection; and the term structure shows only a mild upward slope. Positioning continues to indicate a range-bound state rather than a sustained breakout. QCP believes that future paths remain anchored to oil prices and policy directions. A decline in oil prices or clearer signals from the Federal Reserve would support risk assets. In the absence of these factors, the market is likely to remain in a wait-and-see mode, pricing in uncertainty rather than seeking definitive solutions.

QCP: Bitcoin's Recent Rebound Driven More by Risk Reduction than Fundamental Improvement

According to monitoring by Beating, AI research lab NeoCognition has announced the completion of a $40 million seed round financing, emerging from stealth mode. The company is headquartered in Palo Alto, California, and was co-founded by Ohio State University associate professor Yu Su along with Xiang Deng and Yu Gu. This round was oversubscribed, with Cambium Capital and Walden Catalyst Ventures leading the investment, and Vista Equity Partners participating. Angel investors include Intel CEO Lip-Bu Tan, Databricks co-founder and executive chairman Ion Stoica, as well as AI researchers Dawn Song, Ruslan Salakhutdinov, and Luke Zettlemoyer. NeoCognition aims to address the reliability of AI agents. Founder Yu Su stated that the current success rate of AI agents completing tasks as expected is only about 50%, making each execution feel like a roll of the dice. The company's approach is to enable agents to autonomously build a 'world model' in their respective fields through actual use, capturing the rules, relationships, and constraints of specific business environments, allowing for rapid specialization on the job rather than relying on generic pre-training. Before ChatGPT, Yu Su established an LLM agent research lab at Ohio State University, with the team's previous notable works including Mind2Web, MMMU, and SeeAct. The business model targets the enterprise sector, primarily serving SaaS companies by helping them embed continuously improving AI employees into their own products and operational processes. Vista Equity Partners, which holds a significant number of enterprise software companies, views its investment as a distribution channel. The team consists of about 15 members, most of whom hold doctoral degrees, and there are currently no publicly available products.

[NeoCognition Secures $40 Million Seed Round for Specialized AI Agents Capable of On-the-Job Learning]According to monitoring by Beating, AI research lab NeoCognition has announced the completion of a $40 million seed round financing, emerging from stealth mode. The company is headquartered in Palo Alto, California, and was co-founded by Ohio State University associate professor Yu Su along with Xiang Deng and Yu Gu. This round was oversubscribed, with Cambium Capital and Walden Catalyst Ventures leading the investment, and Vista Equity Partners participating. Angel investors include Intel CEO Lip-Bu Tan, Databricks co-founder and executive chairman Ion Stoica, as well as AI researchers Dawn Song, Ruslan Salakhutdinov, and Luke Zettlemoyer. NeoCognition aims to address the reliability of AI agents. Founder Yu Su stated that the current success rate of AI agents completing tasks as expected is only about 50%, making each execution feel like a roll of the dice. The company's approach is to enable agents to autonomously build a 'world model' in their respective fields through actual use, capturing the rules, relationships, and constraints of specific business environments, allowing for rapid specialization on the job rather than relying on generic pre-training. Before ChatGPT, Yu Su established an LLM agent research lab at Ohio State University, with the team's previous notable works including Mind2Web, MMMU, and SeeAct. The business model targets the enterprise sector, primarily serving SaaS companies by helping them embed continuously improving AI employees into their own products and operational processes. Vista Equity Partners, which holds a significant number of enterprise software companies, views its investment as a distribution channel. The team consists of about 15 members, most of whom hold doctoral degrees, and there are currently no publicly available products.

NeoCognition Secures $40 Million Seed Round for Specialized AI Agents Capable of On-the-Job Learning

On April 22, Slow Fog reported that a highly destructive malware named "MacSync Stealer" (v1.1.2) is currently active. This malware targets macOS users, stealing sensitive data including cryptocurrency wallets, browser credentials, system keychains, and infrastructure keys (SSH/AWS/K8s). It employs a spoofed AppleScript system dialog for phishing and displays a fake error message stating "unsupported" after data leakage. The IOC (Indicator of Compromise) has been promptly synchronized with clients. Slow Fog advises users not to execute unverified macOS scripts and to remain highly vigilant against unexpected system password prompts. If an attack is suspected, immediate remediation is necessary: change all infrastructure credentials (SSH/AWS/K8s), invalidate exposed keychains, and quickly migrate cryptocurrency assets to secure wallets.

[Slow Fog: Highly Destructive Malware on macOS Can Steal Sensitive Data Including Cryptocurrency Wallets]On April 22, Slow Fog reported that a highly destructive malware named "MacSync Stealer" (v1.1.2) is currently active. This malware targets macOS users, stealing sensitive data including cryptocurrency wallets, browser credentials, system keychains, and infrastructure keys (SSH/AWS/K8s). It employs a spoofed AppleScript system dialog for phishing and displays a fake error message stating "unsupported" after data leakage. The IOC (Indicator of Compromise) has been promptly synchronized with clients. Slow Fog advises users not to execute unverified macOS scripts and to remain highly vigilant against unexpected system password prompts. If an attack is suspected, immediate remediation is necessary: change all infrastructure credentials (SSH/AWS/K8s), invalidate exposed keychains, and quickly migrate cryptocurrency assets to secure wallets.

Slow Fog: Highly Destructive Malware on macOS Can Steal Sensitive Data Including Cryptocurrency Wallets

On April 22, UK investors can once again gain the opportunity to purchase cryptocurrency exchange-traded notes (ETNs) tax-free through the Innovative Finance Individual Savings Account (ISA) channel.

[UK Investors Can Access ETNs Through ISA Channel]On April 22, UK investors can once again gain the opportunity to purchase cryptocurrency exchange-traded notes (ETNs) tax-free through the Innovative Finance Individual Savings Account (ISA) channel.

UK Investors Can Access ETNs Through ISA Channel

According to monitoring by Beating, Brockman revealed two specific product advancements in the Core Memory podcast. Firstly, GPT-5.4 Pro has been used by users to solve a new Erdős problem, which he described as 'really important.' He compared this to two years ago when OpenAI required a team of 20 people two weeks of increased computing power to train a model to win a bronze medal in the computing Olympics; now, 'a casually trained model' can achieve this. 'What if we directed this capability towards drug discovery? No one is pricing this in.' Secondly, in response to host Ashley Vance's criticism that large models' writing lacks 'soul,' Altman admitted, 'We haven't nailed personalization yet.' Brockman then added, 'We have a new model coming out in this dimension, which you can try after the podcast goes live and let us know if it has improved.'

[Brockman Claims GPT-5.4 Pro Solved New Erdős Problem, New Model to Address Writing Shortcomings]According to monitoring by Beating, Brockman revealed two specific product advancements in the Core Memory podcast. Firstly, GPT-5.4 Pro has been used by users to solve a new Erdős problem, which he described as 'really important.' He compared this to two years ago when OpenAI required a team of 20 people two weeks of increased computing power to train a model to win a bronze medal in the computing Olympics; now, 'a casually trained model' can achieve this. 'What if we directed this capability towards drug discovery? No one is pricing this in.' Secondly, in response to host Ashley Vance's criticism that large models' writing lacks 'soul,' Altman admitted, 'We haven't nailed personalization yet.' Brockman then added, 'We have a new model coming out in this dimension, which you can try after the podcast goes live and let us know if it has improved.'

Brockman Claims GPT-5.4 Pro Solved New Erdős Problem, New Model to Address Writing Shortcomings

According to monitoring by Beating, Altman detailed the early negotiation process with Elon Musk on the Core Memory podcast. He stated that four core members—himself, Brockman, Ilya Sutskever, and Musk—agreed that OpenAI needed to transition to a for-profit company. The negotiations were close to reaching an agreement: Musk demanded a majority stake, and they conceded; Musk requested to be CEO 'to let everyone know he was in charge,' and they agreed to that as well. However, Musk's final demand for 'absolute control over OpenAI' became the breaking point. Altman quoted, 'No one person should control the entire future, no matter who that person is.' He mentioned that this version of events 'has never been shared publicly over the years,' and the upcoming lawsuit 'left us with no choice.' He views the trial as 'an opportunity to tell our story,' while expressing concern that Musk might withdraw the lawsuit before the hearing, 'which would mean we wouldn't have the chance to clarify all of this.' The lawsuit is scheduled to go to trial on April 27, with Musk seeking damages between $79 billion and $134 billion.

[Altman Discusses Breakdown of Negotiations with Musk: Gradual Concessions to 'Absolute Control']According to monitoring by Beating, Altman detailed the early negotiation process with Elon Musk on the Core Memory podcast. He stated that four core members—himself, Brockman, Ilya Sutskever, and Musk—agreed that OpenAI needed to transition to a for-profit company. The negotiations were close to reaching an agreement: Musk demanded a majority stake, and they conceded; Musk requested to be CEO 'to let everyone know he was in charge,' and they agreed to that as well. However, Musk's final demand for 'absolute control over OpenAI' became the breaking point. Altman quoted, 'No one person should control the entire future, no matter who that person is.' He mentioned that this version of events 'has never been shared publicly over the years,' and the upcoming lawsuit 'left us with no choice.' He views the trial as 'an opportunity to tell our story,' while expressing concern that Musk might withdraw the lawsuit before the hearing, 'which would mean we wouldn't have the chance to clarify all of this.' The lawsuit is scheduled to go to trial on April 27, with Musk seeking damages between $79 billion and $134 billion.

Altman Discusses Breakdown of Negotiations with Musk: Gradual Concessions to 'Absolute Control'

On April 22, Vitalik stated in a conversation with Xiao Feng that the Ethereum architecture consists of multiple layers, including the protocol and application layers. Having only one layer is insufficient, so attention will also be given to the hardware layer and security. Vitalik emphasized that system simplification is very important for Ethereum, as excessive complexity can lead to decreased participation from both users and developers. Additionally, user experience may also suffer.

[Vitalik: Simplifying the Ethereum System is Crucial, Focus on Hardware Layer Development]On April 22, Vitalik stated in a conversation with Xiao Feng that the Ethereum architecture consists of multiple layers, including the protocol and application layers. Having only one layer is insufficient, so attention will also be given to the hardware layer and security. Vitalik emphasized that system simplification is very important for Ethereum, as excessive complexity can lead to decreased participation from both users and developers. Additionally, user experience may also suffer.

Vitalik: Simplifying the Ethereum System is Crucial, Focus on Hardware Layer Development

On April 22, UBS pointed out that even if the Strait reopens, concerns over energy security and the need for countries to rebuild inventories will make it difficult to avoid structurally high oil prices. Compared to the mid-$60 per barrel oil price level before the outbreak of war, even under the most ideal circumstances, future oil prices can only stabilize in the mid-$80 per barrel range.

[UBS Warns: $80 per Barrel Oil Price May Become the New Normal]On April 22, UBS pointed out that even if the Strait reopens, concerns over energy security and the need for countries to rebuild inventories will make it difficult to avoid structurally high oil prices. Compared to the mid-$60 per barrel oil price level before the outbreak of war, even under the most ideal circumstances, future oil prices can only stabilize in the mid-$80 per barrel range.

UBS Warns: $80 per Barrel Oil Price May Become the New Normal

The World Bank is exploring the use of blockchain technology for tokenizing infrastructural projects, according to a 49-page report.   The report outlines the benefits of digitizing debt financing processes for global infrastructure projects, with a focus on democratizing funding and improving transparency through the use of blockchain and smart contracts.

[World Bank Explores Blockchain Tokenization for Infrastructure Financing Amid Regulatory Hurdles]The World Bank is exploring the use of blockchain technology for tokenizing infrastructural projects, according to a 49-page report.   The report outlines the benefits of digitizing debt financing processes for global infrastructure projects, with a focus on democratizing funding and improving transparency through the use of blockchain and smart contracts.

World Bank Explores Blockchain Tokenization for Infrastructure Financing Amid Regulatory Hurdles

Bitcoin Created By The CIA? Chinese Professor Jiang Xueqin Makes Bold Claim

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TRX fell below 0.33  USDT

World Bank Explores Blockchain Tokenization for Infrastructure Financing Amid Regulatory Hurdles

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