A well-known trader: Bitcoin’s annual high stands at $97,000; if it fails to hold the $80,000 level in the short term, it could bottom out at $74,000.

The Season 2 event for Genius, the trading terminal invested by YZi Labs, has concluded. The event planned to distribute 200 million GP tokens, with an actual distribution of 173 million GP, equivalent to 6.055% of the total GENIUS supply available for claiming; the remaining 0.945% will be automatically burned. Users who choose to request a refund will receive all fees paid to Genius during this season, while forfeiting the GP earned in Season 2, and the corresponding GENIUS will be permanently burned. The refund window will open at 00:00 Beijing Time on October 7 and close at 00:00 Beijing Time on October 12. Users who do not request a refund will have options in the second 5-day window starting October 12: either unlock immediately with an 85% deduction of their allocated share, or lock their tokens for 24 months to receive the full 100% airdrop.

Chicago Mercantile Exchange Group (CME Group Inc.) has decided to shelve its plan to launch 24/7 crude oil futures contracts following industry pushback. Market participants had raised concerns that weekend illiquidity could distort WTI crude oil pricing, while continuous trading would also add pressure on weekend staffing, commercial hedging, and after-hours margin calls. CEO Terry Duffy stated in a Friday release that after extensive consultations, core market stakeholders broadly expressed concerns that rushing to introduce 24/7 energy trading without sufficient due diligence could trigger unforeseen consequences and additional market risks. (Bloomberg)

The largest $CXMT short, 0xf292, has fully closed the position, taking a total loss of $10.79M!

Beating AI Express News reports that Andrej Karpathy, currently part of Anthropic’s pre-training team, has once again discussed how large models should output results to humans. He argues that as AI takes on more specific tasks, humans will spend more time understanding AI outputs, verifying the processes behind them, and making judgments. Making it faster for people to grasp what AI has accomplished will grow increasingly critical. Karpathy’s suggestions have evolved from text to video: For text, teams can draw on the ASD-STE100 standard to use shorter, less ambiguous language; for complex content, they can create diagrams directly, and further develop animated, interactive web pages. He is most bullish on customized explanatory videos, such as having AI generate a 3Blue1Brown-style animated video with voiceover on the spot for a specific problem. This aligns with Karpathy’s earlier views on AI interaction. Back in May this year, he already recommended using HTML to host complex large model outputs, summarizing the evolution of AI outputs as: plain text → Markdown → HTML, and eventually moving toward interactive videos and simulated environments. Compared to long blocks of text, images, animations, and interactive interfaces can turn complex information into far more accessible forms. As code and model capabilities grow cheaper, software that was not worth developing specifically in the past can now be built on demand. A single web page, an interactive tool, or even a short video can be tailored to serve one person, explain one problem, and be discarded after use.

Sources familiar with the matter revealed that Bank of New York Mellon (BNY) is in talks with Payward, the parent company of Kraken. The potential collaboration would cover digital assets, custody, trading, payments, wealth management, and other financial market infrastructure, with related services planned to be delivered to banks, exchanges, and asset management firms via Payward Services. (CoinDesk)

Beating AI News reports that AI2 has open-sourced AstaBrief 8B, a research report model based on Qwen3-8B that serves as the report-writing component of AI2’s research assistant Asta. Asta first retrieves relevant papers and content snippets, then passes them to AstaBrief to organize into a cited research report. Asta’s original "Thinking" mode relied primarily on Claude and used a multi-step process: it first summarized and organized retrieved results, then generated reports by chapter. AstaBrief eliminates these intermediate steps, allowing it to produce a full report in one step once given a research question and relevant paper snippets. AI2 has now integrated AstaBrief into Asta’s Fast mode. AI2’s tests show Fast mode takes an average of 51.1 seconds to generate a report, compared to 178.5 seconds for the original Claude-powered Thinking mode—an approximate 3.5x speedup. In the ScholarQA-CS2 benchmark, AstaBrief scores 90.5 in citation precision and 78.2 in citation recall, while base Qwen3-8B scores 76.2 and 64.6 respectively. The model weights are released under the Apache 2.0 license, with training data also made public. Developers can integrate AstaBrief into their own paper retrieval systems, or use official examples to process local PDFs directly. AI2 also noted that the model’s main training and evaluation were completed in 2025, with comparisons made to state-of-the-art systems at that time; no full retesting was conducted against 2026’s latest models like Claude.