Iran denies progress in diplomatic negotiations, WTI crude oil hits the $100 mark.

Well-known trader Doctor Profit posted that he believes Bitcoin is in a bull market, projecting it will surge rapidly to $86,000 in the coming hours to days before climbing further to $94,000. He noted the market is not yet prepared for this move.

According to The Washington Post, the latest federal campaign finance disclosures show that Trump’s main super PAC, MAGA Inc., has spent $277 million supporting Republican candidates in the midterm elections, and still held around $164 million in cash as of last week. The expenditures were mainly made through affiliated super PACs, including a $200 million transfer to No Going Back PAC and a $25 million transfer to Safety & Affordability PAC. Since early September, MAGA Inc. has also spent about $34 million on its own to run ads targeting Democratic House and Senate candidates. On the donor front, crypto billionaire Bijan Tehrani and conservative AI think tank Alliance for a Better Future each donated $1 million. Trump also previously said his political operation has pledged to invest $400 million in the midterms, with $300 million already allocated to advertising, voter outreach, rallies, and election monitoring.

Beating AI Express, AI gateway platform OrcaRouter — which regularly releases "uncensored" models — has open-sourced OrcaCyber Nano 1.0, an AI tool tailored for cybersecurity tasks. It aids in analyzing decompiled code, auditing program vulnerabilities, reviewing server logs, and detecting potential intrusion indicators. Its core practical advantage is supporting fully offline operation, allowing enterprises to avoid uploading internal source code, customer logs, and undisclosed vulnerability data to the cloud. OrcaCyber Nano boasts 27 billion parameters, runs on a single 16GB GPU, and has an underlying architecture highly aligned with Qwen 3.8-27B; it is likely a fine-tuned variant of the previously released Qwen 3.8-27B-Uncensored.

Beating AI News Flash: Large model inference acceleration firm Eagle has launched EAGLE-4, an upgrade to its speculative decoding solution. The new version focuses on cutting the computational overhead of the draft model, and adjusts prediction scale based on hardware performance and concurrency to avoid extra prediction calculations that would otherwise slow down speed. On 4 NVIDIA B300 GPUs, Qwen3.8-27B’s single-request generation speed jumped from 240.5 tokens per second to 863.8 tokens, 3.6 times faster than standard inference. When running 512 concurrent requests, total throughput rose from 21,200 tokens per second to 28,300, a 34% improvement. Significant gains were also seen on mobile: On the Motorola Razr 70 Ultra, Gemma-4-E2B-it achieved 3.2x faster long text generation speed solely on CPU, cutting the same task time from 43 seconds to 14 seconds, with 53% lower energy consumption per token. EAGLE-4’s code is now open-source, supporting integration with SGLang, vLLM, and experimental TokenSpeed. However, unlike the first three generations which used the Apache 2.0 open-source license, the new version adopts a restrictive commercial license. Enterprises with annual comprehensive revenue exceeding $20 million, and companies offering competing inference services, require separate authorization for commercial use.

The U.S. Office of the Comptroller of the Currency (OCC) has released final rules implementing the GENIUS Act, becoming the first regulator to finalize stablecoin implementation rules under the legislation. The rules will take effect on January 18, 2027, providing a pathway for banks and non-bank entities to conduct payment stablecoin operations, and establishing relevant standards for foreign stablecoin issuers and asset custody. Regarding stablecoin rewards, the final rules have removed the presumption clause from the draft proposal that certain commercial arrangements between issuers and third parties could be deemed illegal; however, the statutory ban prohibiting issuers from directly paying interest to stablecoin holders remains in effect. Regulatory officials said they will review issuer-third-party relationships on a case-by-case basis to ensure such arrangements do not violate the statutory ban. The OCC retains authority to enforce against acts circumventing the legislation, and will take appropriate action if clear instances of circumvention are identified.

BitGo has announced the launch of its research and innovation division, BitGo Labs, which is tasked with designing, rolling out, and validating the next wave of breakthrough applications in the digital asset sector. Initially, the division will focus on the intersection of AI and crypto technology. The company emphasized that the AI economy still requires crypto financial infrastructure to support microtransactions, instant settlements, and asset security. Among its first projects is the already-launched consumer app Gokubu, which leverages AI-powered card offerings to optimize user spending and provides personalized AI financial assistants to help users unlock better rewards and transaction value. BitGo Labs will also publish research papers, protocol prototypes, and reference implementations, and partner with developers, academics, and institutions across the crypto and AI ecosystems. BitGo added that every project will be assessed against the same criteria: whether it delivers functionality that existing systems cannot provide, and whether it drives measurable improvements in users’ daily lives.