Ethereum Layer 2 network Taiko has completed its Proposal 39 upgrade, adding Permit to its bridging function and raising the gas limit.

According to Iran's Tasnim News Agency, Iranian Foreign Minister Araghchi said the negotiation process remains ongoing, with both sides exchanging information via intermediaries. "We have put forward a proposal dubbed the 'Seven-Day Plan' and have received the U.S. side's feedback on it. We are currently reviewing the U.S. side's comments, and I believe we will respond in the coming days," Araghchi stated. He again emphasized that the negotiation process is still ongoing.

Sequoia Capital has led a $30 million seed round for retail trading AI agent startup Catalyst, with participation from Jump Trading, PeakXV, Lux Capital, AntiFund, Coinbase, and Premji Invest. Founded in 2025 by 25-year-old Justin Zheng and 21-year-old Dylan Iskandar, the pair boasts impressive backgrounds: Zheng previously worked at Sam Altman’s Worldcoin, while Iskandar published a cybersecurity paper for the U.S. Department of Defense during high school. Catalyst’s core goal is to empower ordinary people to navigate the increasingly complex financial world. Its AI agents can convert natural language into trading strategies and execute trades, though human confirmation is still required currently. The startup’s ultimate vision is for users to only state their intentions, with the agent completing transactions end-to-end.

，据 TradingBeats 监测，「麻吉大哥」黄立成持有的价值 200 万美元 HYPE 多单与 120 万美元 PUMP 多单遭强平，其价值约 9288 万美元的以太坊多单遭部分强平，仓位降至 8000 万美元，开仓价 2,645.22 美元，清算价 2,492.95 美元，ETH 暂报约 2541 美元。「麻吉大哥」黄立成账户近 24 小时亏损 204 万美元，近一周亏损 546 万美元，账户资产净值 308 万美元，全部用作 ETH 多单保证金。

Insight Beating AI Flash News: Y Combinator (YC)-backed startup Workers IO has launched its eponymous software testing platform. The platform deploys full software into a virtual environment to repeatedly simulate scenarios including server outages, network latency, and database failures. According to the official, it can explore millions of runtime combinations to catch bugs that conventional testing often overlooks. Each test adjusts variables such as fault timing and request execution order to identify error-prone edge cases. Once a bug is found, the platform can fully reproduce the exact runtime process. Developers or coding agents like Claude Code can use this to troubleshoot, modify code, and validate fixes under identical conditions. It also accelerates simulation timelines to uncover issues that only emerge after long-term software operation. The official site showcases a payment use case: a bank API times out mid-process; after the program retries, it successfully deducts funds but fails to generate a receipt. The platform tested 128 distinct condition sets, pinpointed the error-triggering scenario, and reproduced it successfully. Workers IO primarily serves high-reliability systems in sectors like payments, transactions, and infrastructure. Its entry-level plan is priced at $20 per month, while the professional version costs $500 monthly.

Beating AI News: Scale Labs, the research arm of Scale AI, has partnered with Elorian to launch a new benchmark called Humanity’s Sixth Sense (HSS), designed to test whether AI can infer implicit information from images and videos. The benchmark includes 522 open-ended questions covering 288 images and 234 videos, such as whether two vehicles can pass each other, why a woman suddenly slows down while chasing a bus, and who holds more sway in a given scenario. The research team evaluated 25 multimodal models and had 20 human participants complete the tasks. Humans achieved an accuracy rate of 93.1%, while the top-performing model, GPT-6 Astra, scored only 53.6% even when using maximum inference effort. GPT-6.1 Sol and Claude Opus 5.5 followed with scores of 46.6% and 44.6% respectively, while the median score across all models was just 30.9%. Researchers analyzed 8,573 model failures and found that 94% were linked to missing key clues, misidentifying objects, or failing to infer implicit relationships in visuals. Only around 5% of errors were categorized as logical reasoning mistakes. Social comprehension proved particularly challenging: 21 out of the 25 models performed worst on these types of questions. Video-based tasks were also generally more difficult than image-based ones. Increasing inference effort does not always help. Models consumed an average of around 4,000 inference tokens per question, and for some tasks, longer reasoning times correlated with lower performance. The research team also tested letting agents zoom in, crop, and re-examine visuals, which led to improved results, though they still lagged far behind human performance.

Insight Beating AI Flash News: Google has opened its SynthID Detector to the global public. This web tool checks for invisible watermarks embedded by AI in images, videos, and audio. Previously tested primarily for media professionals, the detector now supports watermark recognition from OpenAI, NVIDIA, and Kakao, with Apple’s watermarks set to be added soon. OpenAI started integrating SynthID into generated images as early as May this year, and expanded the feature to select audio content in July. Google’s earlier detection tool only worked for its own watermarks, but users can now check content from multiple vendors via the same entry. Google notes that SynthID has already watermarked over 180 billion images and videos, with audio content totaling an equivalent of 240,000 years in duration. The new website requires user login, with each individual granted roughly 10 detection attempts per day. It should be noted that this tool only detects SynthID watermarks and cannot identify all AI-generated content. The absence of a detected watermark does not prove content is authentically captured or human-made, and content from AI models not using this watermark may remain completely undetectable. Detection link: https://synthid.com/