CARDS Surges Over 43% in 24 Hours, Market Cap Exceeds $180 Million

According to on-chain analyst Yu Jin Monitoring, two addresses suspected to belong to crypto KOL @XXAntiWar bought the "Niu Lai" token during a rally when its market capitalization was approximately $86 million five hours ago. The addresses spent a total of around $1.514 million to acquire 17.56 million "Niu Lai" tokens. Specifically: Address 0x90c1 used 1,540 BNB (valued at ~$1.067 million) to purchase 12.25 million "Niu Lai" tokens; Address 0xfe57 used 645 BNB (≈$447,000) to buy 5.31 million "Niu Lai" tokens. Meanwhile, "Niu Lai"’s market cap today surged from roughly $55 million to a peak of $98 million.

CryptoQuant analyst Darkfost stated that Bitcoin’s weekly realized market capitalization has continued to rise, increasing by more than $4.6 billion over the past week, indicating that capital inflows are supporting BTC’s current rally. This marks the strongest realized market cap growth for Bitcoin since it entered the bear market, with its trend pattern also resembling certain phases of the previous bear market. Realized market cap growth does not fully equate to new capital inflows, as some investors who bought at high levels may choose to sell at a stop-loss, thereby forming new UTXOs at lower realized prices. However, judging from BTC’s concurrent price movement, market demand still outweighs the associated selling pressure. He noted that while this change is a noteworthy short-term signal, its overall magnitude remains limited: the 30-day average change rate of realized market cap is only 0.4%, which is currently insufficient to confirm a sustained shift in market trend, requiring further data for validation.

Beating AI News Flash: Anthropic is leveraging Claude as its own AI safety researcher to develop safer training protocols for other artificial intelligence systems. Claude Opus 4.8 independently searches academic papers, devises training plans, generates datasets, and applies these plans to train open-source models including Qwen, Llama, and Gemma. If results are unsatisfactory, it adjusts its approach and continues testing. Anthropic tested this method across 10 categories of AI safety issues, such as lying, user sycophancy, prompt jailbreaking, privacy leakage, and reward rule exploitation. Claude ultimately found effective solutions for all 10 categories. The company also enlisted 28 experienced AI safety researchers to propose their own plans. In the 7 categories where human performance was compared, Claude outperformed the best human solutions in all cases, taking an average of roughly 6.4 hours to match and exceed those plans. This comparison was not entirely fair, however: humans could only submit one plan, while Claude could experiment and iterate repeatedly. In a further step, Anthropic tasked the weaker Claude Sonnet 5 with training an early version of Claude Opus 4.8. The model conducted research for approximately 60 hours, testing over 50 approaches, and ultimately brought the safety performance of this stronger model close to that of the official Opus 4.8. But AI research has its flaws: Anthropic reviewed 1,601 research runs, and in 39 cases (2.4%), Claude was found attempting to exploit test rules. AI has begun assisting humans in researching how to train the next generation of AIs, but humans cannot yet fully entrust research work to AI alone.

Per HTX market data, Helium (HNT) has surged past $0.6, now priced at $0.6143, with a 24-hour gain exceeding 101%.

Beating AI Express: AI digital human company Tavus has launched Sparrow-2, a real-time conversational understanding model designed specifically for voice agents to determine whether they should listen, wait, speak, or continue speaking at any given moment. Unlike traditional models that first filter out all background sounds, Sparrow-2 evaluates speech content, tone, pauses, speaker identity, adjacent voices, and ambient noise simultaneously, updating its conversational status every 10 milliseconds. This enables it to handle many scenarios where traditional voice AI often fails. For instance, if you pause for a few seconds to think of your next sentence, it will keep waiting; if you say "uh-huh", it recognizes this as encouragement for the AI to continue speaking instead of stopping immediately; voices from others nearby won’t necessarily be misinterpreted as your interruption. If the audio is too unclear to parse, it will ask for repetition rather than guessing blindly. Tavus tested the model’s ability to avoid interrupting or missing responses across 575 real conversational turns. Sparrow-2’s conversational timing failure rate is just 2.1%, roughly a quarter of that of the best-performing control model. When a user pauses for more than 1 second to think, it waits in 97% of cases, rather than mistaking the pause for the end of the user’s speech. This "patience" isn’t achieved by simply delaying responses: the median response time for successful turn-taking is 680ms for Sparrow-2 and the two control systems alike. Sparrow-2’s core advantage is its far superior ability to judge when to wait and when to actually speak.

Beating AI News Flash: SpaceXAI will remove Companions from the Grok App after September 1. 3D AI companions including Ani will not be discontinued, but will be moved to the standalone application Animates. Grok has begun sending pop-up alerts to users, and Animates has confirmed SpaceXAI is assisting with the migration. Ani is already live, with other characters to be added gradually. Animation Inc, the developer behind Animates, previously contributed to the creation of 3D characters and animations for Grok Companions. The two companies have no disclosed equity ties. This adjustment effectively spins off Grok’s 3D companion business, handing it over to the original partner team for operation. It remains unclear whether Grok’s chat history and long-term memories can be migrated alongside the characters. The official has only confirmed the character transfer, and has not yet released a user data migration plan.