Whale JackYi: A $5 billion ETH short position might trigger a short squeeze, potentially pushing Ethereum to $3,000.

Beating AI News Flash: AI video firm Tavus has launched Griffin, billed as the first Human Interaction Model focused on real-time face-to-face communication. Griffin can see and listen while speaking, reacting in real time to the other party’s expressions, movements, and pauses, and pauses immediately if a user interrupts mid-sentence. Tavus recruited 54 participants from the U.S. and Europe to hold 1-minute video calls with Griffin-Lite, without disclosing in advance that the counterpart was an AI. The result: 26 participants, or 48%, believed they had chatted with a real person. By comparison, Tavus’ prior generation model Phoenix-4.5 saw only 1 out of 41 participants (2.4%) make the same judgment error in a similar test. Tavus thus claims Griffin is the first model to pass the "real-time video Turing Test". However, the test was self-organized by Tavus with a sample size of just 54, and no larger independent replication has been conducted to date. Griffin-Lite also topped NVIDIA’s VideoFDB full-duplex audio-video evaluation, scoring 3.83/5, close to the human benchmark of 3.92. The previous highest public baseline, Gemini 2.5 + Anam, scored 2.80. Griffin-Lite is currently only available to a small group of testers and has not yet been officially offered to regular customers.

According to official announcements, the Osmosis community has proposed burning approximately 17.4 million OSMO tokens, a sum equivalent to 65% of the total cumulative amount burned in prior periods. The two related proposals aim to withdraw liquidity from inactive community pools and destroy all recovered OSMO tokens.

U.S. Senator Cynthia Lummis, one of the primary drafters of the CLARITY Act, announced in a post that Wyoming has chartered the United States' first digital asset banks and established a corresponding legal framework. The Wyoming Banking Department has collaborated with the New York State Department of Financial Services to implement simplified chartering procedures and joint supervision for entities engaged in digital asset-related businesses.

Investors in Trump’s personal meme coin TRUMP will get another chance to meet the U.S. President in person, marking the third such event following two previous ones. The prior events faced criticism from Democratic lawmakers, who accused them of corrupt acts that openly profited from the White House’s influence. According to the website managing TRUMP-related events, the first 185 registered investors will be invited to attend the event at Trump National Private Club in Washington D.C. on November 22. Organizers said VIP eligibility will be determined by investors’ engagement with the token and will be locked in on November 12. The event is promoted as “the world’s most exclusive dinner”, with three additional “legendary figures” set to attend alongside Trump, though their identities have not yet been disclosed.

According to official announcements, Arbitrum has reported a record monthly revenue of over $5 million for September, marking a roughly fivefold rise from its prior monthly income. The blockchain scaling platform noted that its priority gas auction—launched just one week ago as an additional revenue source—has already generated more than $120,000, with total new transactions hitting 1.5 billion so far this year.

According to official announcements, the Ethereum Foundation has partnered with the Open Anonymity Project to develop zkAPI, which is now live on the Ethereum mainnet. zkAPI leverages zero-knowledge proofs to separate payments from identities: users only need to deposit assets like ETH and USDC into an Ethereum vault contract once, then authorize AI API usage without exposing their personal identity. Service providers can view request content but cannot access the payer’s identity; payment processors only see the amount spent, with no way to link it to specific requests or individual users. The zkAPI workflow operates as follows: user devices generate proofs verifying that funds are sufficient for the transaction and have not been previously spent. Servers validate these proofs to issue temporary API keys with usage limits and expiration periods. Users then send requests directly to AI service providers using these keys, which record actual usage and generate signed credentials. The system ultimately deducts fees from the user’s private balance based on real consumption. The Ethereum network only logs on-chain operations such as deposits, settlements, and withdrawals, with no insight into which services the funds are allocated to. The solution employs cryptographic technologies including Groth16, BN254, Poseidon, and Merkle trees, and allows users to withdraw funds directly from the blockchain if the server ceases operation. The Ethereum Foundation noted that zkAPI is initially targeted at AI inference scenarios, as user prompts submitted to AI models may involve sensitive information like health and financial data. However, the mechanism can also be applied to pay-as-you-go use cases such as blockchain RPC, image generation, and video generation.