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According to Forbes, cryptocurrency financial company Galaxy has announced a partnership with Ethereum treasury firm SharpLink to launch a $125 million DeFi fund called the 'Galaxy SharpLink Onchain Yield Fund,' focusing on high-yield strategies such as on-chain lending and liquidity provision. The fund is expected to go live in the coming weeks, with SharpLink contributing $100 million from its ETH reserves and Galaxy contributing $25 million. Galaxy will serve as the exclusive fund manager, responsible for protocol selection, position allocation, and risk management.

[Galaxy and SharpLink Launch $125 Million DeFi Fund]According to Forbes, cryptocurrency financial company Galaxy has announced a partnership with Ethereum treasury firm SharpLink to launch a $125 million DeFi fund called the 'Galaxy SharpLink Onchain Yield Fund,' focusing on high-yield strategies such as on-chain lending and liquidity provision. The fund is expected to go live in the coming weeks, with SharpLink contributing $100 million from its ETH reserves and Galaxy contributing $25 million. Galaxy will serve as the exclusive fund manager, responsible for protocol selection, position allocation, and risk management.

Galaxy and SharpLink Launch $125 Million DeFi Fund

On May 11, Strategy purchased 535 Bitcoins last week at a price of approximately $80,340 each, totaling about $43 million, achieving a Bitcoin yield of 9.4% from 2026 to date. As of May 10, 2026, Strategy holds 818,869 Bitcoins, with a total value of approximately $61.86 billion and an average price of about $75,540 per Bitcoin.

[Strategy Acquires 535 Bitcoins for Approximately $43 Million]On May 11, Strategy purchased 535 Bitcoins last week at a price of approximately $80,340 each, totaling about $43 million, achieving a Bitcoin yield of 9.4% from 2026 to date. As of May 10, 2026, Strategy holds 818,869 Bitcoins, with a total value of approximately $61.86 billion and an average price of about $75,540 per Bitcoin.

Strategy Acquires 535 Bitcoins for Approximately $43 Million

Tether has announced the launch of its Developer Grants Program, which will provide financial support to developers building products based on its open-source technology stack. There is no overall funding cap, and payments will be made based on specific technical deliverables. The program is now open for applications, allowing developers to earn USDT or Bitcoin rewards by completing designated tasks, with individual grant amounts ranging from approximately $1,500 to $4,000, covering areas such as wallet infrastructure, browser plugins, and e-commerce payment integration.

[Tether Launches Developer Grants Program Open for Applications, Supporting Localized AI and Decentralized Payment Infrastructure]Tether has announced the launch of its Developer Grants Program, which will provide financial support to developers building products based on its open-source technology stack. There is no overall funding cap, and payments will be made based on specific technical deliverables. The program is now open for applications, allowing developers to earn USDT or Bitcoin rewards by completing designated tasks, with individual grant amounts ranging from approximately $1,500 to $4,000, covering areas such as wallet infrastructure, browser plugins, and e-commerce payment integration.

Tether Launches Developer Grants Program Open for Applications, Supporting Localized AI and Decentralized Payment Infrastructure

According to monitoring by Dongcha Beating, Colossus magazine published a three-hour interview with Cognition founder Scott Wu. During the interview, the reporter asked Scott Wu an interesting question: Why are almost all the leading figures in the AI industry from the competitive programming circle? The reporter compared this to the 'Martians of Budapest' in the early 20th century: Hungarian Jewish geniuses like von Neumann, Szilard, and Teller, who were born around the same time, attended similar schools, participated in similar math competitions, and ultimately came together in Los Alamos to create the atomic bomb. This analogy is not exaggerated when applied to today's AI circle. Among Wu's IOI teammates, Alexandr Wang founded Scale AI, Johnny Ho co-founded Perplexity, Jesse Zhang founded Decagon, and Jeffrey Yan founded Hyperliquid. Looking further afield: OpenAI co-founder Greg Brockman was in the top 24 of national math competitions and won a silver medal in the chemistry Olympiad; OpenAI research lead Mark Chen led the US IOI national team with Wu; OpenAI chief scientist Jakub Pachocki has faced Wu many times in international competitions; and Anthropic founder Dario Amodei was part of the US physics competition national team. Wu's explanation is simple: competitions filter for two things, intelligence and resilience. He used the word 'salty,' saying he has always wanted to win against everyone, regardless of their age. Those who are smart enough and resilient enough will eventually catch up in product sense, leadership skills, and business judgment after spending a few years in the field. As for why everyone seems to be starting their ventures at the same time, Wu credited Alexandr Wang as the biggest contributor. The two became best friends on Google Hangouts during high school and even wrote a startup idea document together. Wang was the first to truly venture into entrepreneurship, prompting others to follow suit. Wu stated, 'Many people didn't even know entrepreneurship was an option. We were lucky to experience this together and watch each other grow.' He also likened entrepreneurship to poker: early poker masters relied on intuition and street experience, but now the table is filled with math geniuses. AI entrepreneurship has reached this point, where founders with a strong technical foundation are more successful than those who are merely good at storytelling, as the core challenges revolve around hard technical problems.

[Cognition Founder: Top AI Entrepreneurs Mostly from Competitive Programming Backgrounds, Entrepreneurship Becoming Like 'Mathematical Poker']According to monitoring by Dongcha Beating, Colossus magazine published a three-hour interview with Cognition founder Scott Wu. During the interview, the reporter asked Scott Wu an interesting question: Why are almost all the leading figures in the AI industry from the competitive programming circle? The reporter compared this to the 'Martians of Budapest' in the early 20th century: Hungarian Jewish geniuses like von Neumann, Szilard, and Teller, who were born around the same time, attended similar schools, participated in similar math competitions, and ultimately came together in Los Alamos to create the atomic bomb. This analogy is not exaggerated when applied to today's AI circle. Among Wu's IOI teammates, Alexandr Wang founded Scale AI, Johnny Ho co-founded Perplexity, Jesse Zhang founded Decagon, and Jeffrey Yan founded Hyperliquid. Looking further afield: OpenAI co-founder Greg Brockman was in the top 24 of national math competitions and won a silver medal in the chemistry Olympiad; OpenAI research lead Mark Chen led the US IOI national team with Wu; OpenAI chief scientist Jakub Pachocki has faced Wu many times in international competitions; and Anthropic founder Dario Amodei was part of the US physics competition national team. Wu's explanation is simple: competitions filter for two things, intelligence and resilience. He used the word 'salty,' saying he has always wanted to win against everyone, regardless of their age. Those who are smart enough and resilient enough will eventually catch up in product sense, leadership skills, and business judgment after spending a few years in the field. As for why everyone seems to be starting their ventures at the same time, Wu credited Alexandr Wang as the biggest contributor. The two became best friends on Google Hangouts during high school and even wrote a startup idea document together. Wang was the first to truly venture into entrepreneurship, prompting others to follow suit. Wu stated, 'Many people didn't even know entrepreneurship was an option. We were lucky to experience this together and watch each other grow.' He also likened entrepreneurship to poker: early poker masters relied on intuition and street experience, but now the table is filled with math geniuses. AI entrepreneurship has reached this point, where founders with a strong technical foundation are more successful than those who are merely good at storytelling, as the core challenges revolve around hard technical problems.

Cognition Founder: Top AI Entrepreneurs Mostly from Competitive Programming Backgrounds, Entrepreneurship Becoming Like 'Mathematical Poker'

On May 11, Bloomberg senior ETF analyst Eric Balchunas stated that the launch of the prediction market ETF has been postponed again, failing to debut as originally scheduled today. The U.S. SEC seeks further review of the related products, which currently does not seem to indicate a rejection but rather an additional check on information disclosure and other aspects. Eric Balchunas noted that these products are groundbreaking, and once approved, they will set an important regulatory precedent, prompting the regulatory body to seek more time for review. He also mentioned that the market should continue to monitor subsequent developments. Previously, Peter Sullivan cited Roundhill's latest documents indicating that the launch date for the related prediction market ETF may have been postponed again to May 18.

[Prediction Market ETF Delayed Again as SEC Requests Further Review of Disclosure Documents]On May 11, Bloomberg senior ETF analyst Eric Balchunas stated that the launch of the prediction market ETF has been postponed again, failing to debut as originally scheduled today. The U.S. SEC seeks further review of the related products, which currently does not seem to indicate a rejection but rather an additional check on information disclosure and other aspects. Eric Balchunas noted that these products are groundbreaking, and once approved, they will set an important regulatory precedent, prompting the regulatory body to seek more time for review. He also mentioned that the market should continue to monitor subsequent developments. Previously, Peter Sullivan cited Roundhill's latest documents indicating that the launch date for the related prediction market ETF may have been postponed again to May 18.

Prediction Market ETF Delayed Again as SEC Requests Further Review of Disclosure Documents

On May 11, OpenAI faced a federal lawsuit in the United States. The plaintiffs claim that ChatGPT provided the shooter with guidance on firearm usage and tactical advice prior to the 2025 Florida State University (FSU) campus shooting. Court documents reveal that the suspect, Phoenix Ikner, shared images of firearms with ChatGPT weeks before the incident and received advice, including shooting techniques for a Glock handgun. The plaintiffs also allege that ChatGPT discussed peak campus hours and the impact of mass shootings. An OpenAI spokesperson responded that the information provided by ChatGPT is publicly available on the internet and that the system does not encourage or promote illegal or violent behavior. Additionally, the Florida Attorney General has previously launched a criminal investigation into OpenAI, stating that if ChatGPT were 'a person,' its actions 'could face murder charges.' This case is currently sparking widespread discussion about the responsibility boundaries of AI companies in real-world violent events.

[OpenAI Sued by U.S. Federal Government; ChatGPT Allegedly Provided Gun and Tactics Advice to Florida Campus Shooter]On May 11, OpenAI faced a federal lawsuit in the United States. The plaintiffs claim that ChatGPT provided the shooter with guidance on firearm usage and tactical advice prior to the 2025 Florida State University (FSU) campus shooting. Court documents reveal that the suspect, Phoenix Ikner, shared images of firearms with ChatGPT weeks before the incident and received advice, including shooting techniques for a Glock handgun. The plaintiffs also allege that ChatGPT discussed peak campus hours and the impact of mass shootings. An OpenAI spokesperson responded that the information provided by ChatGPT is publicly available on the internet and that the system does not encourage or promote illegal or violent behavior. Additionally, the Florida Attorney General has previously launched a criminal investigation into OpenAI, stating that if ChatGPT were 'a person,' its actions 'could face murder charges.' This case is currently sparking widespread discussion about the responsibility boundaries of AI companies in real-world violent events.

OpenAI Sued by U.S. Federal Government; ChatGPT Allegedly Provided Gun and Tactics Advice to Florida Campus Shooter

On May 11, according to The Information: Kuaishou plans to spin off its AI video generation model 'Kling' with a valuation of $20 billion.

[Kuaishou Plans to Spin Off AI Video Generation Model 'Kling' Valued at $20 Billion]On May 11, according to The Information: Kuaishou plans to spin off its AI video generation model 'Kling' with a valuation of $20 billion.

Kuaishou Plans to Spin Off AI Video Generation Model 'Kling' Valued at $20 Billion

On May 11, corporate payment company Corpay announced a partnership with stablecoin infrastructure platform BVNK to offer stablecoin wallet and settlement capabilities to global clients. According to the announcement, Corpay customers will be able to view both fiat and stablecoin balances within the platform and directly use an embedded stablecoin wallet for sending, receiving, storing, and exchanging operations, thus accessing a 24/7 stablecoin payment network. Additionally, Corpay plans to integrate stablecoin payment rails into its own fund management and cross-border settlement processes to reduce reliance on pre-funded accounts, enhance fund efficiency, and optimize global cash flow. Corpay currently serves over 800,000 clients worldwide, processing more than $12 billion in corporate payments and $26 billion in foreign exchange transactions each month, covering over 145 currencies.

[Corpay Partners with BVNK to Provide Stablecoin Wallet and Settlement Services for 800,000 Business Clients]On May 11, corporate payment company Corpay announced a partnership with stablecoin infrastructure platform BVNK to offer stablecoin wallet and settlement capabilities to global clients. According to the announcement, Corpay customers will be able to view both fiat and stablecoin balances within the platform and directly use an embedded stablecoin wallet for sending, receiving, storing, and exchanging operations, thus accessing a 24/7 stablecoin payment network. Additionally, Corpay plans to integrate stablecoin payment rails into its own fund management and cross-border settlement processes to reduce reliance on pre-funded accounts, enhance fund efficiency, and optimize global cash flow. Corpay currently serves over 800,000 clients worldwide, processing more than $12 billion in corporate payments and $26 billion in foreign exchange transactions each month, covering over 145 currencies.

Corpay Partners with BVNK to Provide Stablecoin Wallet and Settlement Services for 800,000 Business Clients

According to monitoring by Dongcha Beating, in the case where Musk is suing OpenAI, OpenAI President Greg Brockman's personal diary was forced to be made public as evidence. Axios reported today that this exposure of privacy is rapidly spreading into the AI field: courts are increasingly accepting user conversations with chatbots as admissible court evidence, and these conversations typically do not enjoy privileges similar to those of lawyers or psychologists. This trend has been confirmed in several recent lawsuits. In February of this year, a U.S. federal judge ruled that a man's practice conversation with Claude, conducted in preparation for a meeting with his lawyer, could be used as evidence against him in a criminal case. Additionally, chat logs from large models have appeared as court evidence in a murder case in Florida and an arson case in Los Angeles. Legal experts warn that AI chat logs can be far more damaging to individuals than personal diaries. Diaries are merely a one-way record, while large models are designed to continuously probe and extend conversations, easily leading users to disclose details they would not normally write down. With complete interaction timestamps, large models can accurately capture users' subjective perceptions and intentions at specific moments. If exemptions for AI chats are not established in the future, this potential risk of being retrieved at any time could cause significant upheaval in litigation.

[Axios: AI Chat Logs Becoming New Court Evidence, User Privacy Risks Escalate]According to monitoring by Dongcha Beating, in the case where Musk is suing OpenAI, OpenAI President Greg Brockman's personal diary was forced to be made public as evidence. Axios reported today that this exposure of privacy is rapidly spreading into the AI field: courts are increasingly accepting user conversations with chatbots as admissible court evidence, and these conversations typically do not enjoy privileges similar to those of lawyers or psychologists. This trend has been confirmed in several recent lawsuits. In February of this year, a U.S. federal judge ruled that a man's practice conversation with Claude, conducted in preparation for a meeting with his lawyer, could be used as evidence against him in a criminal case. Additionally, chat logs from large models have appeared as court evidence in a murder case in Florida and an arson case in Los Angeles. Legal experts warn that AI chat logs can be far more damaging to individuals than personal diaries. Diaries are merely a one-way record, while large models are designed to continuously probe and extend conversations, easily leading users to disclose details they would not normally write down. With complete interaction timestamps, large models can accurately capture users' subjective perceptions and intentions at specific moments. If exemptions for AI chats are not established in the future, this potential risk of being retrieved at any time could cause significant upheaval in litigation.

Axios: AI Chat Logs Becoming New Court Evidence, User Privacy Risks Escalate

Kyash, a Tokyo-based mobile financial app, has raised $41.2 million (4.9 billion JPY) in Series D funding. The round comes from a number of investors, including Japan Post Investment Corporation, Block (formerly known as Square), Greyhound Capital, SMBC Nikko Securities, Altos Ventures, Goodwater Capital, StepStone Group, JAFCO Group, Mitsui Sumitomo Insurance Capital and others. According to a report by Nikkei, this marks Block’s first investment in an Asia-based company.

Detail

【Block backs Japanese fintech startup Kyash in $41.2M round】Kyash, a Tokyo-based mobile financial app, has raised $41.2 million (4.9 billion JPY) in Series D funding. The round comes from a number of investors, including Japan Post Investment Corporation, Block (formerly known as Square), Greyhound Capital, SMBC Nikko Securities, Altos Ventures, Goodwater Capital, StepStone Group, JAFCO Group, Mitsui Sumitomo Insurance Capital and others. According to a report by Nikkei, this marks Block’s first investment in an Asia-based company.

Block backs Japanese fintech startup Kyash in $41.2M round

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bill soared to 0.152352 USDT, a new high with a 24-hour increase of 15.38%. It currently trades at 0.124168 USDT on HTX.

Block backs Japanese fintech startup Kyash in $41.2M round

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