Solana ecosystem meme coin ANSEM surges 115-fold in 24 hours, market cap briefly exceeds $32 million.

According to Arkham's monitoring, trader 0x4B1 purchased CASHCAT tokens worth approximately $1.29 million when the asset launched on Robinhood, acquiring around 0.85% of its total supply at an average market cap of roughly $150 million at the time of purchase. After CASHCAT listed on Robinhood, its price dropped by about 30%, leaving the trader with an unrealized loss of roughly $412,000. However, on-chain data shows the trader has not sold any of the tokens to date.

Tesla plans to publicly unveil its Cybercab, a driverless taxi, in Austin, Texas, U.S. as early as this month. The vehicle features a steering-wheel and pedal-free design, with Tesla employees already testing the fully driverless version on private roads within the company’s campus. Reports note that Cybercab runs on Tesla’s FSD (Full Self-Driving) software, though its autonomous driving capabilities and safety remain under scrutiny. The U.S. National Highway Traffic Safety Administration (NHTSA) is still investigating Tesla’s FSD for traffic rule compliance issues, while existing Robotaxi services in some markets still have human safety drivers on board. Cybercab is designed to operate without in-vehicle personnel intervention; Tesla plans to use remote operators to handle emergencies and has started integrating Starlink connectivity into the vehicles. Data scale is another concern. Tesla stated in July that it needs to accumulate dedicated driving data for Cybercab. To date, Tesla’s unsupervised Robotaxis have logged around 380,000 miles across six cities, while Waymo has completed over 220 million miles of fully autonomous driving on public roads since 2020. Additionally, Cybercab’s lack of traditional driving controls may face restrictions under U.S. federal vehicle safety regulations. It remains unclear whether Tesla is seeking regulatory exemptions, according to reports. The Verge points out that as Cybercab’s launch approaches, there remains significant uncertainty regarding the autonomous driving safety and regulatory approvals required for its commercial operation.

Nasdaq-listed Chinese insurance technology firm Zhibao Technology (stock code: ZBAO) has completed its previously announced Private Investment in Public Equity (PIPE) financing, with investors subscribing to the company’s newly issued shares and warrants using 2,380 Bitcoin. At the agreed reference price of $65,000 per BTC, the transaction is valued at approximately $154.7 million. According to a 6-K filing submitted by Zhibao to the U.S. Securities and Exchange Commission (SEC), investors transferred all 2,380 BTC to the company’s designated wallet at closing. In exchange, the company issued 442 million PIPE units, each priced at $0.35, comprising 1 Class A ordinary share and 1 warrant. The warrant has an exercise price of $0.35 and a two-year term. Zhibao stated it will hold Bitcoin as reserve assets, using them to support daily operations, business expansion, research and development, and AI-related applications. Following the transaction, Zhibao’s Bitcoin holdings rank 33rd among global public companies.

Hong Kong police recently disclosed a cryptocurrency investment scam targeting elderly individuals. In June this year, an over-80-year-old retired man clicked on a fake link in an online pop-up ad, downloading a counterfeit app posing as the crypto platform Trust Wallet. Scammers then impersonated platform customer service representatives, luring him to invest with promises of "high returns and big profits". The victim withdrew cash from his bank as instructed, then converted it into cryptocurrency via a crypto exchange. Over the next month and a half, he transferred multiple batches of ETH totaling over HK$5 million to the scammers’ designated wallets. He only realized he had been scammed when he could no longer withdraw funds from the fake app and the customer service contact went missing. Hong Kong police reminded family members to monitor the internet habits and financial situations of elderly people, proactively share anti-fraud information, and be alert to investment scams conducted through fake apps and high-yield promises.

According to market data from BIT (bit.com), the U.S. stock optical communication sector has deepened its declines, with the following assets posting losses: Roundhill Optical Module ETF (LYTE) fell 8.27%; Pure Photonics ETF (FOTO) dropped 10.07%; Optoelectronics (AAOI) declined 11.77%; Corning (GLW) fell 7.72%; Coherent (COHR) dropped 11.76%; Marvell Technology (MRVL) declined 7.65%; Lumentum Holdings (LITE) fell 9.05%; and Ciena Corporation (CIEN) dropped 9.94%.

According to MaxForAI, the AI project J-Space Cognition Suite, which went viral on X today, has faced community skepticism over its claimed DeepSeek V4 test results, which critics say cannot be reproduced. The project previously asserted that V4 Flash paired with J-Space could match GLM-5.3, while V4 Pro outperforms Fable 5 on multiple agent benchmarks, delivering a 2.53x speed boost and 2.21x improvement in token efficiency. GitHub user GoForceX ran a high-concurrency retest using the 87-question subset of Terminal Bench 2.1, confirming J-Space modules were loaded. The results showed that adding J-Space actually led to a slight drop in benchmark scores, alongside higher token usage and costs — the opposite of the project’s stated gains in performance, speed, and token efficiency. The community has since demanded the project disclose full evaluation configurations, per-question results, operation logs, original time and token consumption data. To date, the project has only published aggregated results and has not provided complete original experimental records to verify these metrics. Notably, the project’s author previously admitted the related data was “indeed exaggerated,” noting actual improvements are roughly between 1.6x and 3x. As of press time, the author has not issued an official response to the community’s queries, and some related skeptical GitHub Issues have been deleted.