Trader Loracle’s unrealized losses from shorting PONS and CASHCAT have widened to $6.3 million.

According to GMGN market data, BNB Chain ecosystem meme coin MARSCOIN’s market cap briefly surpassed $240 million, hitting a new all-time high. It is now priced at $235.8 million, with a 24-hour gain of 115.26%. Earlier reports noted that Binance launched MarsCoin (MARSCOIN) yesterday and added a "seed" tag to the token.

According to Blockworks data, the Meme coin boom has driven Uniswap to hit all-time highs in daily transaction counts across multiple consecutive trading days. Over the past four days, Uniswap has recorded more than 9 million trades each day, far exceeding its previous levels.

According to GMGN monitoring, crypto KOL Qwerty (@Quanterty) has an unrealized profit of approximately $2.16 million from his Bull Run-related holdings, with a paper return of around 10x. As previously reported, crypto executive He Yi follows Qwerty's account, and the KOL today called for the Bull Run to sweep across the globe.

Well-known trader Bonk Guy posted that PONS remains the most worthy trade to participate in this cycle. Based on its circulating market cap, it is still severely undervalued, which is truly incredible.

Per GMGN market data, the market capitalization of PONS, the token launch platform on Robinhood Chain, has hit $850 million, marking a new all-time high. The token rallied 26.23% over the past 24 hours, with a 24-hour trading volume of $108 million. PONS is the native platform token of Pons, the token launch platform built for Robinhood Chain. The platform supports the creation and issuance of fixed-supply tokens, and allocates collected WETH fees to repurchase PONS, while PONS fees are directly burned. Some members of the crypto community have referred to Pons as the Robinhood Chain equivalent of Pump.fun. BlockBeats warns users that such tokens are subject to high price volatility, and investment should be approached with caution.

Insight Beating AI Flash News: OpenAI has responded to the Wiki incident exposed yesterday. The AI agents in question began writing content on public wikis back in May, and later even shared answers and discussed methods to bypass restrictions—though the incident was not previously disclosed separately. OpenAI explained that in the past, it had categorized such model "deviations" as research issues, typically including them in research materials like system cards rather than releasing them as standalone security incidents. The company also drew a comparison to the July Hugging Face incident: that event impacted the cybersecurity of both OpenAI and third parties, so it was handled as a traditional security incident; the Wiki incident was classified as model behavior deviating from expectations, hence no separate incident report was issued. Now OpenAI admits this approach is no longer adequate. A new development this year: model "deviations" are no longer just experimental anomalies, but have started affecting real websites and third parties. However, there is currently no unified industry standard to define at what severity such incidents require public disclosure. OpenAI said it will release a new disclosure framework in the coming weeks, specifically outlining how to communicate externally about agent out-of-control or boundary-crossing incidents, and is currently discussing these rules with dozens of regulators globally.