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On May 14, Tencent Cloud officially announced the open sourcing of TencentDB Agent Memory, which provides short-term memory compression and long-term personalized memory capabilities for Agent long-task scenarios. According to the introduction, TencentDB Agent Memory utilizes the technology of 'Context Offloading + Mermaid Task Canvas' to offload complete information to external storage while retaining key states and execution paths in a structured task graph. This allows the Agent to maintain a lightweight context during long tasks, while also supporting the layered tracing and recovery of original information. In experiments with continuous multi-task sessions, this solution achieved a maximum reduction of 61% in token consumption, while also improving the success rate of tasks in long-task scenarios.

[Tencent Open Sources Agent Memory, Reducing Token Consumption by Up to 61%]On May 14, Tencent Cloud officially announced the open sourcing of TencentDB Agent Memory, which provides short-term memory compression and long-term personalized memory capabilities for Agent long-task scenarios. According to the introduction, TencentDB Agent Memory utilizes the technology of 'Context Offloading + Mermaid Task Canvas' to offload complete information to external storage while retaining key states and execution paths in a structured task graph. This allows the Agent to maintain a lightweight context during long tasks, while also supporting the layered tracing and recovery of original information. In experiments with continuous multi-task sessions, this solution achieved a maximum reduction of 61% in token consumption, while also improving the success rate of tasks in long-task scenarios.

Tencent Open Sources Agent Memory, Reducing Token Consumption by Up to 61%

According to monitoring by Beating, three key technical personnel directly involved in the construction of the Grok model at xAI announced their departures over the past week. Unlike the previous exits of co-founders and executives, these three individuals were the actual heads of the core product lines of search post-training, pre-training, and voice. Their collective departure will directly impact the iterative capabilities of the next generation of Grok models. Tianyi Zhang confirmed his departure today on X. He was the head of the search and factual post-training team and had previously served as a machine learning engineering manager at Apple for five years. He led the team to reduce the factual error rate of Grok's real-time model by 70% to 80%, helping Grok 4.20 achieve the top position in the Search Arena blind test upon its launch. This search capability is currently integrated into Tesla's in-car system. Juntang Zhuang announced on May 9 that he had left earlier this year. He was deeply involved in pre-training since Grok 2 and later became the head of the pre-training team, overseeing the training infrastructure and core formulas for the entire Grok 4 series of models. Before joining xAI, he worked at OpenAI for two years and was a core contributor to GPT-4o and the inventor of the GPT-4 Turbo 128k long-context algorithm. David Haxton confirmed his departure on May 10; he had built Grok's voice agent, real-time thinking voice, and voice cloning features from scratch. Under his leadership, Grok Voice currently ranks first in the τ-Voice benchmark tests by Sierra AI, ahead of OpenAI and Google. The timing of these departures is particularly striking. The publicly available Grok 4.3 is still just an intermediate version with 0.5T parameters. Musk stated on April 18 that the true 1T flagship was 'about 5 days away from completing initial training,' and the next day clarified that Grok 4.4 would be 1T, expected to be released in early May, while Grok 4.5 would be 1.5T, aiming for delivery by the end of May, claiming that the model factory was operational, with a new foundational model expected to be released every two weeks thereafter. Now, in mid-May, Grok 4.4 has yet to appear, while the core personnel responsible for creating these models are rapidly leaving. xAI is experiencing a systemic talent collapse from co-founders to the core model team.

[Elon Musk Promises New Grok Release Every Two Weeks, But Key Model Developers Depart Within a Week]According to monitoring by Beating, three key technical personnel directly involved in the construction of the Grok model at xAI announced their departures over the past week. Unlike the previous exits of co-founders and executives, these three individuals were the actual heads of the core product lines of search post-training, pre-training, and voice. Their collective departure will directly impact the iterative capabilities of the next generation of Grok models. Tianyi Zhang confirmed his departure today on X. He was the head of the search and factual post-training team and had previously served as a machine learning engineering manager at Apple for five years. He led the team to reduce the factual error rate of Grok's real-time model by 70% to 80%, helping Grok 4.20 achieve the top position in the Search Arena blind test upon its launch. This search capability is currently integrated into Tesla's in-car system. Juntang Zhuang announced on May 9 that he had left earlier this year. He was deeply involved in pre-training since Grok 2 and later became the head of the pre-training team, overseeing the training infrastructure and core formulas for the entire Grok 4 series of models. Before joining xAI, he worked at OpenAI for two years and was a core contributor to GPT-4o and the inventor of the GPT-4 Turbo 128k long-context algorithm. David Haxton confirmed his departure on May 10; he had built Grok's voice agent, real-time thinking voice, and voice cloning features from scratch. Under his leadership, Grok Voice currently ranks first in the τ-Voice benchmark tests by Sierra AI, ahead of OpenAI and Google. The timing of these departures is particularly striking. The publicly available Grok 4.3 is still just an intermediate version with 0.5T parameters. Musk stated on April 18 that the true 1T flagship was 'about 5 days away from completing initial training,' and the next day clarified that Grok 4.4 would be 1T, expected to be released in early May, while Grok 4.5 would be 1.5T, aiming for delivery by the end of May, claiming that the model factory was operational, with a new foundational model expected to be released every two weeks thereafter. Now, in mid-May, Grok 4.4 has yet to appear, while the core personnel responsible for creating these models are rapidly leaving. xAI is experiencing a systemic talent collapse from co-founders to the core model team.

Elon Musk Promises New Grok Release Every Two Weeks, But Key Model Developers Depart Within a Week

UP fluctuated by 74.67% within 24 hours, current price $0.186989

【UP24-hour fluctuation exceeds 50%!】UP fluctuated by 74.67% within 24 hours, current price $0.186989

UP24-hour fluctuation exceeds 50%!

On May 14, Fractal Bitcoin announced the official launch of the first phase of public testing for its standardized data indexing service based on the FIP-101 proposal. Following the start of the public test, users can participate in index mining through non-custodial staking and receive corresponding rewards based on their staking shares. As of now, the total amount staked in the public test has exceeded 1.5 million FB. FIP-101 represents a significant upgrade for Fractal's data infrastructure layer. This proposal aims to introduce an open-source, permissionless, standardized data indexing service to the Fractal ecosystem and integrate the indexing service into the Fractal block reward system, transforming the indexing infrastructure from a purely external service into a component of the network incentive structure.

[Fractal Bitcoin Launches Public Test for FIP-101, Index Mining and Non-Custodial Staking Now Open]On May 14, Fractal Bitcoin announced the official launch of the first phase of public testing for its standardized data indexing service based on the FIP-101 proposal. Following the start of the public test, users can participate in index mining through non-custodial staking and receive corresponding rewards based on their staking shares. As of now, the total amount staked in the public test has exceeded 1.5 million FB. FIP-101 represents a significant upgrade for Fractal's data infrastructure layer. This proposal aims to introduce an open-source, permissionless, standardized data indexing service to the Fractal ecosystem and integrate the indexing service into the Fractal block reward system, transforming the indexing infrastructure from a purely external service into a component of the network incentive structure.

Fractal Bitcoin Launches Public Test for FIP-101, Index Mining and Non-Custodial Staking Now Open

On May 14, Ripple's Chief Legal Officer Stuart Alderoty stated before the Senate Banking Committee's review of the CLARITY Act that currently, 67 million Americans hold cryptocurrency, and each senator on the committee represents these holders. These holders are millions of ordinary Americans: construction workers, retirees, small business owners, and parents. They come from various income levels, industries, and states across the U.S. They deserve clear rules. They deserve strong consumer protections. They deserve a regulatory framework that allows responsible innovation to thrive in the United States.

[Ripple's Chief Legal Officer: 67 Million Americans Holding Cryptocurrency Deserve Clear Rules and Regulatory Framework]On May 14, Ripple's Chief Legal Officer Stuart Alderoty stated before the Senate Banking Committee's review of the CLARITY Act that currently, 67 million Americans hold cryptocurrency, and each senator on the committee represents these holders. These holders are millions of ordinary Americans: construction workers, retirees, small business owners, and parents. They come from various income levels, industries, and states across the U.S. They deserve clear rules. They deserve strong consumer protections. They deserve a regulatory framework that allows responsible innovation to thrive in the United States.

Ripple's Chief Legal Officer: 67 Million Americans Holding Cryptocurrency Deserve Clear Rules and Regulatory Framework

On May 14, data from the central bank showed that at the end of April, the broad money supply (M2) reached 353.04 trillion yuan, an increase of 8.6% year-on-year. The narrow money supply (M1) amounted to 114.58 trillion yuan, up 5% year-on-year. The amount of currency in circulation (M0) was 14.75 trillion yuan, marking a year-on-year increase of 12.2%. In the first four months, a net cash injection of 653 billion yuan was made.

[Central Bank: M2 Money Supply Reaches 353.04 Trillion Yuan at End of April, Up 8.6% Year-on-Year]On May 14, data from the central bank showed that at the end of April, the broad money supply (M2) reached 353.04 trillion yuan, an increase of 8.6% year-on-year. The narrow money supply (M1) amounted to 114.58 trillion yuan, up 5% year-on-year. The amount of currency in circulation (M0) was 14.75 trillion yuan, marking a year-on-year increase of 12.2%. In the first four months, a net cash injection of 653 billion yuan was made.

Central Bank: M2 Money Supply Reaches 353.04 Trillion Yuan at End of April, Up 8.6% Year-on-Year

On May 14, according to an official announcement, Huobi HTX officially launched the 2026 Global Creator Recruitment Program, inviting external KOLs, community operators, live streamers, and trading experts to join the Huobi HTX creator ecosystem. The program offers exclusive benefits including a 60% permanent referral commission, 100% live stream rewards return, and a monthly content mining competition. The first 200 creators to successfully join will receive additional double traffic support. Additionally, from May 14, 00:00 to June 14, 24:00 (UTC+8), the platform will also kick off a new creator invitation trading ranking competition with a total prize pool of up to 5,500 USDT. During the event, newly joined creators will be ranked based on the number of valid new users they invite. If the total trading volume of the invited users reaches a specified threshold, they will receive corresponding rewards, with the champion set to win a grand prize of 1,500 USDT.

[Huobi HTX Launches 2026 Global Creator Recruitment Program and New Creator Ranking Competition]On May 14, according to an official announcement, Huobi HTX officially launched the 2026 Global Creator Recruitment Program, inviting external KOLs, community operators, live streamers, and trading experts to join the Huobi HTX creator ecosystem. The program offers exclusive benefits including a 60% permanent referral commission, 100% live stream rewards return, and a monthly content mining competition. The first 200 creators to successfully join will receive additional double traffic support. Additionally, from May 14, 00:00 to June 14, 24:00 (UTC+8), the platform will also kick off a new creator invitation trading ranking competition with a total prize pool of up to 5,500 USDT. During the event, newly joined creators will be ranked based on the number of valid new users they invite. If the total trading volume of the invited users reaches a specified threshold, they will receive corresponding rewards, with the champion set to win a grand prize of 1,500 USDT.

Huobi HTX Launches 2026 Global Creator Recruitment Program and New Creator Ranking Competition

The onshore RMB against the USD officially closed at 6.7862 at 16:30 Beijing time, an increase of 43 points compared to the official closing price of the previous trading day, and an increase of 41 points compared to the closing price of the previous night session.

[Onshore RMB Against USD Officially Closed at 6.7862]The onshore RMB against the USD officially closed at 6.7862 at 16:30 Beijing time, an increase of 43 points compared to the official closing price of the previous trading day, and an increase of 41 points compared to the closing price of the previous night session.

Onshore RMB Against USD Officially Closed at 6.7862

On May 14, according to data from CryptoQuant, the unrealized profit rate for Bitcoin traders has risen to 17.7%, marking the highest level since June 2025.

[Bitcoin Holders' Unrealized Profit Rate Rises to 17.7%, Highest Since June 2025]On May 14, according to data from CryptoQuant, the unrealized profit rate for Bitcoin traders has risen to 17.7%, marking the highest level since June 2025.

Bitcoin Holders' Unrealized Profit Rate Rises to 17.7%, Highest Since June 2025

According to Coindesk, a U.S. court in California has handed Yuga Labs, the company behind the popular Bored Ape Yacht Club (BAYC) NFT collection, a legal victory in the form of a partial summary judgment in its case against Ryder Ripps and Jeremy Cahen. The U.S District Court for the Northern District of California found that Yuga Labs owns the BAYC trademarks, which are valid and enforceable, and that the defendants used the BAYC marks – referring to the images – to sell RR/BAYC NFTs without Yuga Labs' consent and in a “manner likely to cause confusion”, with the similar product look confusing consumers intending to purchase an actual BAYC NFT or track their value with token tracking tools. In addition, the court ruled that the defendants' use of the BAYC marks was not a case of fair use, nor an artistic expression under something called the Rogers Test, because Yuga's BAYC marks were strong in the marketplace and the RR/BAYC project was intended to mislead. The court also determined that the domain names registered and utilized by the defendants – rrbayc.com and apemarket.com – have the potential to create confusion with the judge concluding that the defendant's actions are driven by a malicious intent to profit and the two are engaging in cybersquatting.

Detail

【Judge Rules Bored Ape Yacht Club Ripoff NFTs Violated Yuga Copyright】According to Coindesk, a U.S. court in California has handed Yuga Labs, the company behind the popular Bored Ape Yacht Club (BAYC) NFT collection, a legal victory in the form of a partial summary judgment in its case against Ryder Ripps and Jeremy Cahen. The U.S District Court for the Northern District of California found that Yuga Labs owns the BAYC trademarks, which are valid and enforceable, and that the defendants used the BAYC marks – referring to the images – to sell RR/BAYC NFTs without Yuga Labs' consent and in a “manner likely to cause confusion”, with the similar product look confusing consumers intending to purchase an actual BAYC NFT or track their value with token tracking tools. In addition, the court ruled that the defendants' use of the BAYC marks was not a case of fair use, nor an artistic expression under something called the Rogers Test, because Yuga's BAYC marks were strong in the marketplace and the RR/BAYC project was intended to mislead. The court also determined that the domain names registered and utilized by the defendants – rrbayc.com and apemarket.com – have the potential to create confusion with the judge concluding that the defendant's actions are driven by a malicious intent to profit and the two are engaging in cybersquatting.

Judge Rules Bored Ape Yacht Club Ripoff NFTs Violated Yuga Copyright

Article

Pony Ma Responds to Concerns About Tencent's AI Lag: 'We Thought We Were on Board, But Found the Ship Leaking'

Pony Ma Responds to Concerns About Tencent's AI Lag: 'We Thought We Were on the Ship, Only to Find It Leaking'

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%!

Judge Rules Bored Ape Yacht Club Ripoff NFTs Violated Yuga Copyright

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

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