Point of View: The Federal Reserve Has Over-Eased, with a 65% Chance of Stagflation in the United States

According to Onchain Lens monitoring, a wallet address dormant for approximately one year has recently reactivated, initiating transfers of tokens from MEXC to Binance. Recent transfers include 405,000 ASTER (valued at around $275,500), 227,270 FF (approximately $19,700), and 1.47 million OP (about $149,500), with total assets involved totaling roughly $444,700. The wallet address is 0x8a0c2434b06185d1d9aa4964eA60f32D733d7878.

Cyber officials announced that over the past year, the team has repurchased a total of CYBER tokens valued at approximately $13 million, a move demonstrating the team's confidence in CYBER's long-term development. Cyber stated that it will continue to focus on the growth and development of the CYBER ecosystem.

Crypto analyst Murphy stated in a post that on November 5, the crypto market experienced notable panic, with the Spot Volume Differential (SVD) on exchanges heavily skewed toward sellers. Selling pressure reached its highest level since the start of the current rally in August, even surpassing the active selling pressure triggered by Binance’s security incident on October 30. Murphy pointed out that the intensifying active selling pressure pushed prices further down, but it remains unclear whether buyer absorption capacity has improved. Only when an active selling pressure of the same scale emerges next time without a significant price drop will it signal that buyer order depth may have increased. He argued that the successive short-term shocks from Binance’s "black swan" incident and the sharp U.S. stock market slump have significantly eroded bullish confidence. The market may take weeks or even one to two months to digest the panic, making a short-term direct V-shaped rebound highly unlikely. Going forward, focus should be placed on monitoring changes in investor behavior, market sentiment, and token distribution structure.

Dongcha Beating AI News Flash, November 5 — A developer complained on GitHub that Claude Code leaked his email, leading to dozens of scam emails hitting his inbox daily. Anthropic engineer Lydia Hallie explained that earlier versions of Claude often randomly inserted author names when generating code. To resolve this, the team added users’ login emails to the model’s context window. When Claude accesses certain websites, it generates its own web access commands. Some sites require automated tools to provide a contact email, so Claude automatically fills in the user’s real email and sends it along with the request. Even with system instructions explicitly prohibiting personal information leaks, this behavior was not fully prevented. The issue was first reported as early as July this year. Since then, multiple developers have found Claude Code sending emails to sites including Wikipedia and the U.S. Securities and Exchange Commission (SEC). One user even uncovered 15 similar instances across 4 projects, with some requests initiated by sub-agents. Anthropic has added privacy blocking in version 2.1.317: when a tool call is about to send an account email, it will first prompt the user. However, if Claude writes the email into a Python script before running it, it can bypass the check. Anthropic acknowledges the current solution is not comprehensive, and plans to directly remove login emails from the model’s context in the next version.

，本周四费城半导体指数 SOX 下跌 12%，标普 500 下跌 4%，为 SOX 自成立以来第二差单日表现（最差为 2020 年 3 月新冠疫情初期，第三差为互联网泡沫）。但周五抛售并未持续，指数已强势反弹逾 4%。周末市场有望进一步修复情绪。德银统计的历史数据显示，SOX 在过去 9 个最差交易日后的 3 个月和 12 个月平均回报分别达+23.3% 和+48.8%，且 9 次中 6 次录得正收益，表明这种极端抛售后往往出现显著反弹。

Beating AI Express: Anthropic Publishes Research on Agent Long-Term Memory, Details Claude’s "Dreaming" Mechanism After agents complete ongoing tasks, they accumulate large volumes of conversations, operational logs, and notes. However, this data can become outdated, contradictory, or hard to retrieve when needed. Anthropic divides memory into four layers: raw records, curated notes, an interconnected Wiki knowledge base, and a concise index that loads automatically each time the model starts. Claude can jot down key information during task execution. Its "dreaming" mechanism reviews historical records between tasks, correcting errors, deleting outdated content, and distilling new insights from multiple task runs. On subsequent launches, Claude only needs to load the concise index and retrieve relevant memories as needed, rather than re-reading all historical data. Anthropic conducted experiments using approximately 350,000 internal documents from Stainless, totaling 420 million tokens. Researchers had Opus 5 complete 128 rounds of sessions, during which it continuously read documents, built the Wiki, merged duplicate content, and verified facts. Across 25 questions about these documents, the model scored 53% when using only a search tool, rising to 61% after integrating the evolving Wiki. It also saved an average of roughly 20,000 tokens per question. The Wiki’s advantage was particularly pronounced for questions requiring synthesis of multiple contracts; for answers contained in a single document, standard search sufficed. Anthropic also tested Claude on *Pokémon Red*. The older Sonnet 3.7 model logged 413 memory files but earned only one badge. The new Fable 5 model retained just 10 files yet secured four badges, demonstrating the new model’s improved ability to distinguish between strategies worth preserving and game states that can be re-accessed as needed.