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On May 14, U.S. retail sales for April rose by 0.5%, matching expectations of 0.5% and down from a previous value of 1.70%. This marks the lowest level since January and aligns with market forecasts. (Jin Shi)

[U.S. Retail Sales in April Increase by 0.5%, as Expected]On May 14, U.S. retail sales for April rose by 0.5%, matching expectations of 0.5% and down from a previous value of 1.70%. This marks the lowest level since January and aligns with market forecasts. (Jin Shi)

U.S. Retail Sales in April Increase by 0.5%, as Expected

On May 14, on-chain detective ZachXBT published a lengthy article exposing the LAB project and its founder (@vsadkovv). The LAB token surged to a $6 billion fully diluted valuation (FDV), but the situation behind it is highly opaque. The team was founded by Vova Sadkov and Mark, who previously left many investors dissatisfied with their Eesee project. Currently, the circulation data for LAB is chaotic, with the official team failing to provide clear token distribution details. The investors and trading platforms are highly overlapping, and most critically, insiders are likely controlling over 95% of the tokens, leaving retail investors completely unaware of the true circulation situation. Additionally, the LAB team unilaterally extended the public sale lock-up period from 3 months to 9 months while also defaulting on marketing fees, providing special treatment to KOLs and whales and requiring them to promote the project. The founder has mixed project funds with personal accounts, with large amounts of money directly entering trading platform deposit addresses. Insiders can sell off tokens without retail investors being aware. On-chain data shows that insiders recently withdrew over 100 million LAB tokens from trading platforms, valued at hundreds of millions of dollars, employing tactics similar to those used in previously manipulated projects.

[ZachXBT Accuses LAB Project of Market Manipulation Harming Retail Investors, Over 95% of Tokens Controlled]On May 14, on-chain detective ZachXBT published a lengthy article exposing the LAB project and its founder (@vsadkovv). The LAB token surged to a $6 billion fully diluted valuation (FDV), but the situation behind it is highly opaque. The team was founded by Vova Sadkov and Mark, who previously left many investors dissatisfied with their Eesee project. Currently, the circulation data for LAB is chaotic, with the official team failing to provide clear token distribution details. The investors and trading platforms are highly overlapping, and most critically, insiders are likely controlling over 95% of the tokens, leaving retail investors completely unaware of the true circulation situation. Additionally, the LAB team unilaterally extended the public sale lock-up period from 3 months to 9 months while also defaulting on marketing fees, providing special treatment to KOLs and whales and requiring them to promote the project. The founder has mixed project funds with personal accounts, with large amounts of money directly entering trading platform deposit addresses. Insiders can sell off tokens without retail investors being aware. On-chain data shows that insiders recently withdrew over 100 million LAB tokens from trading platforms, valued at hundreds of millions of dollars, employing tactics similar to those used in previously manipulated projects.

ZachXBT Accuses LAB Project of Market Manipulation Harming Retail Investors, Over 95% of Tokens Controlled

On May 14, it was reported that for the week ending May 9, the number of initial jobless claims in the United States reached 211,000, marking the highest level since the week of April 18, and exceeding market expectations of 205,000.

[U.S. Initial Jobless Claims Exceed Expectations]On May 14, it was reported that for the week ending May 9, the number of initial jobless claims in the United States reached 211,000, marking the highest level since the week of April 18, and exceeding market expectations of 205,000.

U.S. Initial Jobless Claims Exceed Expectations

According to Beating Monitoring, Adaption has launched AutoScientist, a fully automated model training and alignment system. This system can autonomously run through a complete model research cycle, simultaneously optimizing data and training recipes, allowing non-technical personnel to independently fine-tune custom models. Test data shows that AutoScientist averages a 35% performance improvement over the manual configurations of Adaption's internal researchers in fine-tuning performance. In benchmark tests across eight verticals using the Together AI architecture with datasets ranging from 5,000 to 100,000 entries, the system increased the fine-tuning success rate from 48% with manual configurations to 64%. Most fine-tuning based on private data often fails due to catastrophic forgetting and overfitting, but this system provides predictable performance gains. Officials state that this not only lowers the barrier to building proprietary AI but also frees machine learning engineers from the tedious process of manually monitoring parameter searches. The system is currently available for a 30-day free trial, and the team claims that they will also introduce real-time adaptation technology that requires no training in the future.

[Adaption Launches Fully Automated Fine-Tuning System AutoScientist, Outperforming Human Experts by 35%]According to Beating Monitoring, Adaption has launched AutoScientist, a fully automated model training and alignment system. This system can autonomously run through a complete model research cycle, simultaneously optimizing data and training recipes, allowing non-technical personnel to independently fine-tune custom models. Test data shows that AutoScientist averages a 35% performance improvement over the manual configurations of Adaption's internal researchers in fine-tuning performance. In benchmark tests across eight verticals using the Together AI architecture with datasets ranging from 5,000 to 100,000 entries, the system increased the fine-tuning success rate from 48% with manual configurations to 64%. Most fine-tuning based on private data often fails due to catastrophic forgetting and overfitting, but this system provides predictable performance gains. Officials state that this not only lowers the barrier to building proprietary AI but also frees machine learning engineers from the tedious process of manually monitoring parameter searches. The system is currently available for a 30-day free trial, and the team claims that they will also introduce real-time adaptation technology that requires no training in the future.

Adaption Launches Fully Automated Fine-Tuning System AutoScientist, Outperforming Human Experts by 35%

On May 14, Strive, a Nasdaq-listed Bitcoin treasury company, announced that its perpetual preferred stock SATA Stock will begin distributing cash dividends on a 'daily dividend' basis starting June 16, 2026, maintaining an annual dividend yield of 13.00%. SATA will become the first publicly traded security in the U.S. capital markets to pay dividends daily on business days. Strive also released its Q1 financial report, revealing that it accumulated a total of 6,001 BTC in the first quarter, of which 5,048 BTC were acquired through the acquisition of Semler Scientific, and 953 BTC were purchased from the open market. Additionally, from April 1 to May 12, the company increased its holdings by another 1,381 BTC, bringing its total Bitcoin reserves to 15,009 BTC.

[Strive Announces Daily Dividend Mechanism for SATA Starting June 16 and Releases Q1 Financial Report]On May 14, Strive, a Nasdaq-listed Bitcoin treasury company, announced that its perpetual preferred stock SATA Stock will begin distributing cash dividends on a 'daily dividend' basis starting June 16, 2026, maintaining an annual dividend yield of 13.00%. SATA will become the first publicly traded security in the U.S. capital markets to pay dividends daily on business days. Strive also released its Q1 financial report, revealing that it accumulated a total of 6,001 BTC in the first quarter, of which 5,048 BTC were acquired through the acquisition of Semler Scientific, and 953 BTC were purchased from the open market. Additionally, from April 1 to May 12, the company increased its holdings by another 1,381 BTC, bringing its total Bitcoin reserves to 15,009 BTC.

Strive Announces Daily Dividend Mechanism for SATA Starting June 16 and Releases Q1 Financial Report

On May 14, AI chip manufacturer Cerebras, known as the 'Nvidia Challenger', will go public on the US stock market under the ticker symbol CBRS. The IPO is priced at $185 per share, with a total of 30 million shares sold, raising approximately $5.55 billion, making it one of the largest IPOs in the AI infrastructure sector this year. In January, OpenAI signed a collaboration agreement with Cerebras worth over $10 billion, with OpenAI holding warrants to purchase over 33 million shares. Currently, on the Hyperliquid chain's Perp DEX Trade.xyz, Cerebras' Pre-IPO price is reported at $288 per share, having once surpassed $320, representing a premium of over 70% compared to the IPO price. The 24-hour trading volume is nearly $20 million, with the open interest value skyrocketing to $28.3 million. Notably, the funding rate for Cerebras' on-chain Pre-IPO contracts has shifted from negative to positive, indicating that investors are increasing their long positions in anticipation of a strong opening tonight. Additionally, Cerebras' chips feature a design that occupies the entire surface of a silicon wafer, whereas traditional processes typically etch dozens of chips on the same wafer. Cerebras' single wafer-level design integrates 40 trillion transistors and approximately 900,000 AI-optimized cores, with on-chip memory reaching up to 44 GB and memory bandwidth of 21 PB/s, far exceeding GPUs by thousands of times, effectively eliminating communication bottlenecks between traditional chips, making it particularly suitable for large-scale AI training and inference, capable of efficiently processing trillion-parameter models.

[Cerebras, Nvidia Challenger, Set for High Opening on US IPO Tonight Amidst 70% Premium]On May 14, AI chip manufacturer Cerebras, known as the 'Nvidia Challenger', will go public on the US stock market under the ticker symbol CBRS. The IPO is priced at $185 per share, with a total of 30 million shares sold, raising approximately $5.55 billion, making it one of the largest IPOs in the AI infrastructure sector this year. In January, OpenAI signed a collaboration agreement with Cerebras worth over $10 billion, with OpenAI holding warrants to purchase over 33 million shares. Currently, on the Hyperliquid chain's Perp DEX Trade.xyz, Cerebras' Pre-IPO price is reported at $288 per share, having once surpassed $320, representing a premium of over 70% compared to the IPO price. The 24-hour trading volume is nearly $20 million, with the open interest value skyrocketing to $28.3 million. Notably, the funding rate for Cerebras' on-chain Pre-IPO contracts has shifted from negative to positive, indicating that investors are increasing their long positions in anticipation of a strong opening tonight. Additionally, Cerebras' chips feature a design that occupies the entire surface of a silicon wafer, whereas traditional processes typically etch dozens of chips on the same wafer. Cerebras' single wafer-level design integrates 40 trillion transistors and approximately 900,000 AI-optimized cores, with on-chip memory reaching up to 44 GB and memory bandwidth of 21 PB/s, far exceeding GPUs by thousands of times, effectively eliminating communication bottlenecks between traditional chips, making it particularly suitable for large-scale AI training and inference, capable of efficiently processing trillion-parameter models.

Cerebras, Nvidia Challenger, Set for High Opening on US IPO Tonight Amidst 70% Premium

MLN has fluctuated by 51.45% within 24 hours, current price $3.8745

【MLN fluctuated over 50% in 24 hours!】MLN has fluctuated by 51.45% within 24 hours, current price $3.8745

MLN fluctuated over 50% in 24 hours!

On May 14, market risk appetite began to show a clear shift. The U.S. April PPI increased by 1.4% month-on-month and 6% year-on-year, marking the largest rise since 2022, indicating that cost pressures on the business side are rapidly being transmitted to consumers. Meanwhile, Federal Reserve official Collins publicly stated that if inflation does not effectively cool down, further interest rate hikes cannot be ruled out, suggesting that the market's previous expectations for a rate cut cycle in 2026 are being quickly revised. Morgan Stanley further warned that U.S. inflation may peak in May or June, with the triple pressures of energy, tariffs, and housing costs simultaneously pushing up the price system. Beyond the U.S., the Bank of Japan has also begun to signal a stronger policy shift. BOJ member Kuroda has officially shifted from dovish to hawkish, advocating for early rate hikes if the economy does not show significant decline. The market has currently priced in about a 75% chance of a rate hike in Japan in June, leading to a rapid rebound of the yen. This indicates that the policy direction of major global central banks is gradually shifting from a previous stance of 'waiting for rate cuts' to 'redefining measures against re-inflation.' Especially after the ongoing situation in Iran continues to push up energy prices, the market is beginning to worry that energy-imported inflation will once again spread to global manufacturing, logistics, and consumption chains. In terms of risk assets, the market structure shows clear differentiation. Nvidia, Apple, and Google have all reached historical highs simultaneously, indicating that AI and large tech stocks continue to attract concentrated global capital. However, this concentration of funds also means that the market is increasingly relying on a few highly liquid core assets to support risk sentiment. On the other hand, OPEC has downgraded its forecast for global oil demand growth in 2026, reflecting ongoing concerns about slowing global economic growth, with the market currently experiencing a compounded pressure environment of 'high inflation + slowing growth.' In the cryptocurrency market, BTC is still in a high-level oscillation structure, but the market is beginning to reassess whether 'long-term high interest rates' will compress the valuation space of risk assets. Recently, there has not been a significant withdrawal of funds from the cryptocurrency market, but liquidity is becoming more concentrated in BTC and large mainstream assets, while the support for small and medium-sized altcoins continues to decline. If subsequent U.S. inflation data and energy prices continue to heat up, the market will begin to reassess the Federal Reserve's liquidity cycle, at which point the volatility and liquidation risk in the cryptocurrency market may also increase.

[Bitunix Analyst: Global Inflation Heats Up, Central Bank Policies Shift to Hawkish Stance]On May 14, market risk appetite began to show a clear shift. The U.S. April PPI increased by 1.4% month-on-month and 6% year-on-year, marking the largest rise since 2022, indicating that cost pressures on the business side are rapidly being transmitted to consumers. Meanwhile, Federal Reserve official Collins publicly stated that if inflation does not effectively cool down, further interest rate hikes cannot be ruled out, suggesting that the market's previous expectations for a rate cut cycle in 2026 are being quickly revised. Morgan Stanley further warned that U.S. inflation may peak in May or June, with the triple pressures of energy, tariffs, and housing costs simultaneously pushing up the price system. Beyond the U.S., the Bank of Japan has also begun to signal a stronger policy shift. BOJ member Kuroda has officially shifted from dovish to hawkish, advocating for early rate hikes if the economy does not show significant decline. The market has currently priced in about a 75% chance of a rate hike in Japan in June, leading to a rapid rebound of the yen. This indicates that the policy direction of major global central banks is gradually shifting from a previous stance of 'waiting for rate cuts' to 'redefining measures against re-inflation.' Especially after the ongoing situation in Iran continues to push up energy prices, the market is beginning to worry that energy-imported inflation will once again spread to global manufacturing, logistics, and consumption chains. In terms of risk assets, the market structure shows clear differentiation. Nvidia, Apple, and Google have all reached historical highs simultaneously, indicating that AI and large tech stocks continue to attract concentrated global capital. However, this concentration of funds also means that the market is increasingly relying on a few highly liquid core assets to support risk sentiment. On the other hand, OPEC has downgraded its forecast for global oil demand growth in 2026, reflecting ongoing concerns about slowing global economic growth, with the market currently experiencing a compounded pressure environment of 'high inflation + slowing growth.' In the cryptocurrency market, BTC is still in a high-level oscillation structure, but the market is beginning to reassess whether 'long-term high interest rates' will compress the valuation space of risk assets. Recently, there has not been a significant withdrawal of funds from the cryptocurrency market, but liquidity is becoming more concentrated in BTC and large mainstream assets, while the support for small and medium-sized altcoins continues to decline. If subsequent U.S. inflation data and energy prices continue to heat up, the market will begin to reassess the Federal Reserve's liquidity cycle, at which point the volatility and liquidation risk in the cryptocurrency market may also increase.

Bitunix Analyst: Global Inflation Heats Up, Central Bank Policies Shift to Hawkish Stance

According to monitoring by Dongcha Beating, Anthropic has introduced new regulations today that exclude automated script tasks from the regular subscription pool, enforcing a monthly limit of $20. However, it still allows unlimited 'interactive typing chats' by humans at the terminal. Immediately after the new rules were announced, the developer community came up with countermeasures. An open-source project named claude-p has successfully disguised script calls as human typing, thereby bypassing the billing wall. The method involves silently launching a virtual terminal (PTY) in the background, opening the official Claude Code interface, and then using code to simulate human typing by entering prompts and pressing enter. Once Claude generates a response, it captures the result and sends it to an external program. With this disguise, all high-frequency machine requests appear to Anthropic's servers as if a real person is typing and chatting on the screen. As a result, third-party tools can continue to operate under the original subscription limits without being subject to the $20 restriction. The project author commented on the homepage, "Trying to control how others use your product through the client is simply a waste of effort."

[Open Source Tool claude-p Bypasses Claude's $20 Billing Wall by Mimicking Human Typing]According to monitoring by Dongcha Beating, Anthropic has introduced new regulations today that exclude automated script tasks from the regular subscription pool, enforcing a monthly limit of $20. However, it still allows unlimited 'interactive typing chats' by humans at the terminal. Immediately after the new rules were announced, the developer community came up with countermeasures. An open-source project named claude-p has successfully disguised script calls as human typing, thereby bypassing the billing wall. The method involves silently launching a virtual terminal (PTY) in the background, opening the official Claude Code interface, and then using code to simulate human typing by entering prompts and pressing enter. Once Claude generates a response, it captures the result and sends it to an external program. With this disguise, all high-frequency machine requests appear to Anthropic's servers as if a real person is typing and chatting on the screen. As a result, third-party tools can continue to operate under the original subscription limits without being subject to the $20 restriction. The project author commented on the homepage, "Trying to control how others use your product through the client is simply a waste of effort."

Open Source Tool claude-p Bypasses Claude's $20 Billing Wall by Mimicking Human Typing

FTX cofounder Sam Bankman-Fried promised potential lenders returns of up to 20% as he sought to save his crypto empire from an earlier crisis in 2018, a report said.The Wall Street Journal described problems at Alameda Research, the sister company to FTX, which it said stretched back years before its collapse in late 2022.Citing anonymous sources, the outlet said Alameda was already struggling in 2018.

Detail

【Sam Bankman-Fried offered lenders 20% returns in a scramble to rescue his crypto empire from an earlier crisis in 2018, report says】FTX cofounder Sam Bankman-Fried promised potential lenders returns of up to 20% as he sought to save his crypto empire from an earlier crisis in 2018, a report said.The Wall Street Journal described problems at Alameda Research, the sister company to FTX, which it said stretched back years before its collapse in late 2022.Citing anonymous sources, the outlet said Alameda was already struggling in 2018.

Sam Bankman-Fried offered lenders 20% returns in a scramble to rescue his crypto empire from an earlier crisis in 2018, report says

Article

BTC falls below 79000 USDT

Arm and SoftBank Proposed Acquisition of Cerebras Before IPO but Were Rejected

TRX breaks through 0.35 USDT

FIO's 24-hour volatility exceeds 50%!

OSMO fluctuated over 50% in 24 hours!

Israeli Prime Minister's Secret Visit to UAE During War with Iran

Sam Bankman-Fried offered lenders 20% returns in a scramble to rescue his crypto empire from an earlier crisis in 2018, report says

Disclaimer：The content above does not represent HTX's positions.，HTX does not provide any trading recommendations.。

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