The crypto market is experiencing a widespread decline, with the funding rate indicating persistently low market sentiment. The bearish sentiment for ETH is significantly stronger than that for BTC.

According to data from the BIT Stock Platform, NVIDIA (NVDA)’s pre-market gain in US stocks has narrowed significantly, with the stock now trading at $178.89.

SoftBank Chief Financial Officer Yoshimitsu Goto responded today to Elon Musk’s allegation that SoftBank defaulted on turbine orders. On November 6, Musk posted on X, “SoftBank is defaulting on their turbine orders.” During an analyst Q&A session, someone sought comment from SoftBank on the matter. Goto stated: “We have absolutely no idea what he’s getting at, but this claim is completely wrong. There is no such default.” He also noted the company remains on track to advance its AI infrastructure. This stance aligns with earlier remarks from Scott Strazik, CEO of GE Vernova. Per prior reports, Morgan Stanley had queried GE Vernova whether it faced canceled turbine orders or financing issues from clients; Strazik replied “no,” adding he had not observed disruptions in customer financing, requests to withdraw turbine reservations, or slowed progress.

Beating AI News Flash: Anthropic has released a Claude model selection guide, advising developers not to default to the most powerful Fable 5.2. For most programming and knowledge work, start with Opus 5.5’s Medium inference strength. For clearly defined feature development and daily automation, use the more affordable Sonnet 5.5. Simple tasks like classification and information extraction can be assigned to Haiku 5.5. Large-scale code migrations, complex research, or tasks Opus cannot complete are the only scenarios where Fable 5.2 should be considered. Anthropic notes an effective cost-cutting method is letting AI audit its own results: for example, run automated tests when coding to catch and fix errors instead of using the highest inference strength from the start. In tests on the same subset of SWE-bench Pro programming benchmarks, Anthropic had Opus 5.5 first execute tasks with Low inference, then only retry failed tasks with High. The result was a ~97% pass rate at an average cost of $0.17 per task. By comparison, running all tasks directly with High inference yielded a 95.3% pass rate at $0.29 per task — the former approach reduced costs by ~41% while delivering a slightly higher pass rate. Increasing inference strength in isolation has a cost-performance ceiling: when Opus 5.5 was upgraded from High to Xhigh, its SWE-bench Pro score improved by only ~1.4 percentage points, while its cost rose 2.5 times. Anthropic advises that if a model at High cannot solve a hard problem, try a stronger model at a lower inference strength. For instance, in the FrontierCode 2.0 benchmark, Fable 5.2 at High scored 45.3%, nearly matching Opus 5.5’s 45.5% at Max, while its average cost per task was only half of Opus. Even though Fable’s per-token API price is twice Opus’s, total costs for such hard tasks may still be lower.

According to an official announcement from Upbit, WAVES has been added to its investment warning list.

According to Reuters, the latest draft prospectus shows that Anthropic plans to issue 825 million shares in its initial public offering (IPO), with an indicative price range of $70 to $78 per share. The cornerstone investors for Anthropic's IPO include AMD, Broadcom, Google, Micron Technology, Microsoft, NVIDIA, and TSMC Partners. These cornerstone investors will collectively subscribe for $26 billion worth of the company's common shares through a separate private placement.

According to TradingBeats' monitoring, a crypto whale liquidated approximately $5.019 million in long positions of SK Hynix (SKHX), selling at $903.41 for an estimated profit of $19,000. After the liquidation, the same address immediately placed a $5.001 million buy order at $880, planning to re-enter long positions once the price pulls back. The planned entry price is roughly 2.59% lower than the previous average selling price.