Iran's President: Supreme Leader demands end to "neither war nor peace" status with the United States.

According to monitoring by crypto analytics platform Yu Jin, a trader named "Ma Ji" voluntarily closed all his ETH long positions yesterday afternoon, and transferred his entire account funds to the address he uses for trading mining on the papertrade project. Since May last year, he has been aggressively going long on ETH almost every day. After his positions were liquidated yesterday morning, he recharged his account and reopened ETH long positions, but voluntarily closed all positions and emptied his account yesterday afternoon. Over the past 18 months, he has incurred cumulative losses of approximately $37.46 million.

With US-Iran tensions easing rapidly overnight, Brent crude on-chain recorded a 5.77% 24-hour decline. Per TradingBeats’ monitoring, the largest Brent crude long position on-chain now carries an unrealized loss of $11.62 million. The address opened this crude long position on October 19 at an entry price of $103, once holding an unrealized profit of over $2 million, with a liquidation price of $81.28.

Trump family crypto project WLFI tweeted that WLFI token buybacks will be executed on Aster via a public wallet. The buyback initiative aims to strengthen long-term holders’ participation in governance. Additionally, funds may come from multiple sources, with USD1-related revenue—after deducting partner splits, direct costs, and other obligations—available to support the repurchases. The timing, scale, and execution methods of the buybacks will be determined by factors such as available resources and may be adjusted or terminated at any time.

Richmond Federal Reserve President Tom Barkin signaled in a speech in South Carolina that interest rates still need to be raised, while emphasizing the need for a cautious pace of rate hikes. He delivered the remarks to the Greater Greer Chamber of Commerce that day, and will become a voting member of the Federal Open Market Committee (FOMC) in 2027. Barkin stated that inflation has been above the Fed’s 2% target for nearly six years, with risks to the central bank’s current dual mandate concentrated on the inflation side. Corporate profits are robust, consumers continue to spend, and unemployment has held at 4.5% or lower for a record period. He expects consumer spending will remain resilient through the end of the year; markets broadly anticipate a strong holiday shopping season, but how long this robust consumption momentum can persist remains an open question. Barkin also focused on potential demand shifts driven by the AI boom, noting that if technology underperforms expectations, corporate investment could contract, stock prices would decline, and consumption supported by asset appreciation might also cool.

According to an open letter from Layer 33, an independent validator group on Solana, the organization is urging the Solana Foundation to suspend its weekly phased removal of members from the delegation program until community consultations are finalized. Layer 33 noted that the new rules announced by the foundation on November 6 set a 12-month participation term, require validators to exit the program after securing 300,000 SOL in external staking, and cap participant numbers at 100. The group argues these provisions could squeeze out experienced independent operators and worsen staking concentration. The open letter also recommends granting existing members who participated in the Alpenglow community test at least six months of mainnet delegation support, and disclosing the analytical rationale behind the participant cap and participation term.

Beating AI Flash News: Meta has launched its lightest AI model, Muse Ember, designed to handle repetitive agent tasks including tool calls, code edits, and document analysis. Ember supports text, image, audio, and video inputs, with a 1 million-token context window. On Artificial Analysis’s Intelligence Index, Muse Ember scored 36 points, matching Claude Haiku 5.5, yet its per-task cost is just $0.14, roughly one-third of the latter’s. Compared to Meta’s own Muse Spark 1.3, Ember trails by only 1 point, but its cost plummets to around one-seventeenth. The model’s affordability stems from token utilization efficiency: while Ember and Haiku 5.5 have identical standard input and output per-token prices, Ember’s cache read cost is 60% lower, and it generates only about one-third of the output tokens Haiku produces for evaluation tasks. Meta plans to assign complex task planning to its large model Muse Wonder, while offloading repetitive work to Ember. For example, Wonder would draft a code migration plan, and multiple Ember agents would modify files and run tests in parallel. However, Ember has clear drawbacks: in Artificial Analysis’s knowledge test, it answered just 21.1% of questions correctly and refused to respond to 64% of questions outright. In the more advanced engineering programming test FrontierCode 2.0, its score is 27.2%, lagging behind Haiku 5.5’s 34.9%. Ember is now live on Muse Code and the Meta Model API. Its standard pricing is $0.10 per million input tokens and $0.50 per million output tokens; per-unit prices triple for requests with over 200,000 input tokens.