Deribit will launch linear Bitcoin and Ethereum options settled in USDC

Whale 0xfC27 has made over $8M from shorting on @Aster_DEX! +$2.35M on SOXLUSD1; +$1.17M on SNDKUSD1; +$1.03M on BTC/USDT; +$615K on MUUSD1 ...

Beating AI News: Thinking Machines, founded by former OpenAI CTO Mira Murati, has launched its new model Inkling 2 Small. Its Artificial Analysis composite score hit 31 points, up from 13 points for the previous generation, making it the highest-scoring open-source model in the U.S. Despite being named "Small", the model has a total of 594 billion parameters, with 17 billion activated per inference. The most notable improvement lies in its agent capabilities: the automation task pass rate rose from 5% to 46%, and the programming test score increased from 5% to 25%, though it still lags slightly behind DeepSeek V4.1 Flash’s 28.5%. Thinking Machines primarily uses reinforcement learning to boost the model’s ability to handle complex tasks. Artificial Analysis tests found the model outputs an average of around 150,000 tokens per task, four times that of the prior generation. Its average cost climbed from $0.20 to $1.18, and completing one task takes roughly 21 minutes. Currently, Inkling 2 Small is available for inference and fine-tuning on Tinker. Full model weights have not been released yet; the company plans to open-source it under the Apache 2.0 license next week, after completing external security testing.

Elon Musk replied with a meme on social media to a crypto user's tweet that read "Just woke up, let's check how the market is doing", signaling a broad crypto market downturn. Although the image was blurred, its general outline still shows the original meme is related to CZ.

A whale withdrew 1,286 $BTC ($98.03M) from #Binance today at $76,230 after over a year of inactivity. Over a year ago, the whale deposited 5,699 $BTC ($509M) into #Binance at an average price of $89,291. Now the whale is buying back $BTC at a lower price!

According to Yonhap News Agency, following the U.S. midterm elections, amid heightened concerns over AI data center regulation that triggered stock market volatility, South Korea's Ministry of Strategy and Finance held a roundtable with semiconductor experts to review industry trends and future demand prospects. Participants collectively assessed that, taking into account progress and future plans for large-scale investments by major AI firms, as well as factors such as expanded semiconductor demand driven by the proliferation of agent AI, the medium- and long-term growth outlook for the AI and semiconductor industries remains valid. They noted that while some concerns exist in financial markets, no clear signals have yet been detected that would lead to a contraction in AI investment or semiconductor demand. Additionally, given factors including the expansion of long-term supply contracts for South Korean domestic semiconductor companies, the demand base is expected to stay stable in the short term.

Blockchain analytics firm Chainalysis has confirmed that certain customer data for all its users—including names, usernames, password hashes, and valid tokens—was exposed to a malicious actor (hacker) in the recent security incident. During the investigation, access to Reactor and Data Solutions was suspended. There is currently no evidence that any investigative data was accessed or Chainalysis’ proprietary data was tampered with. The company has deployed additional active monitoring systems to track abnormal activity. After detecting suspicious activity today, KYT (user interface and API), other address screening products, and login pages were taken offline. Chainalysis is now directly notifying customers whose KYT accounts show signs of unauthorized access. The firm plans to restore access to KYT and Address Screening starting tomorrow. Customers can submit trusted IP addresses to support@chainalysis.com or contact the Chainalysis customer team to be added to the allowlist. Subsequently, Chainalysis will authorize users to reset passwords and rotate API keys for transaction logging.