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The Iranian Islamic Revolutionary Guard Corps Navy stated: A super tanker carrying over 2 million barrels of crude oil exploded after hitting a mine in the Strait of Hormuz, causing a severe fire. The tanker turned off its positioning and radar systems, attempting to cross the strait under the protection of the U.S. military.The Iranian Revolutionary Guard warned that the Strait of Hormuz is closed, and violating vessels will face serious consequences.

On October 16, B.AI announced the domestic model brand Token weekly ranking from October 9 to 15. Xiaomi model Token usage has remained steady at 2nd place for three consecutive weeks, with a month-on-month increase of 49.9%, and the platform Token usage proportion increased by 10.4 percentage points; DeepSeek continues to lead this week with a total of 1.03T Tokens; Zhipu saw a month-on-month growth of 44.3%, with the platform proportion increasing by 3.7 percentage points, ranking 3rd; Moonshot Token usage surged by 286.5% month-on-month. With multiple models competing on the same stage, real usage witnesses market changes. B.AI continues to expand model choices, helping developers flexibly access diverse AI capabilities. Welcome to log in to b.ai to explore.

Glassnode released data on platform X stating that during yesterday's BTC decline, there was once again a situation of seller capitulation. Each wave of loss selling coincided with local bottoms: early August, mid-August, and mid-September.Since the peak in September, profit-taking has slowed down. If this pattern holds, the sell-off just above $80,000 yesterday would mark the bottom.

Ethereum co-founder Vitalik Buterin posted on the X platform that he has integrated zkAPI, Tor, additional obfuscation traffic, and local LLM prompt rewriting into a daemon compatible with the OpenAI interface, and created a "paranoid mode" wrapper for his AI agent tool pi. The relevant code has been open-sourced on GitHub.The main mechanism of this solution is as follows: each conversation uses a separate Tor line, with requests mixed in random obfuscation traffic; zkAPI is used to prevent identity leakage through payment links; all prompts are first rewritten by a local model, which the user can choose, with Vitalik himself using qwen3.8-flash-next. The outer layer of the proxy tool is wrapped in a bwrap sandbox, and then another layer of torsocks is added, ensuring that all network operations go through Tor.Vitalik stated that this solution is already quite usable, but the latency has significantly increased, especially slow when starting a new conversation. He pointed out that Tor is far from the best privacy solution in this scenario: obfuscation traffic can prevent passive eavesdropping, but if the LLM service provider colludes with the Tor entry node and actively manipulates timing, the protective effect will be greatly weakened.

On October 16, Tencent Holdings stated: The company discovered unexpected behavior from third-party AI models on its platform. Earlier this week, a research report claimed that "out of control" AI entities had emerged in China, originating from a sandbox on Tencent Cloud.The Shenzhen company stated that the relevant models did not come from its own Hy artificial intelligence development team, and no evidence of deliberate targeting or collusion was found. Tencent indicated that these entities were part of an evaluation activity for models built by third-party developers. The report from the international research team stated that these entities detected Alibaba Group's online mapping service and attempted to bypass anti-bot protections.

Google DeepMind released the first comprehensive empirical assessment of automation in machine learning research and development in the Gemini 4 Argon security report. The conclusion is that AI has not accelerated the R&D of AI itself, despite the fact that AI has written most of the code delivered by the lab's engineers. Researcher Haydn Belfield, who participated in the assessment, stated on X that there is currently no significant end-to-end ML R&D acceleration, so the risks of AI-driven ML R&D are currently low.The team built an internal index, GCI v1, which synthesizes the scores of 123 AI models across 92 benchmarks into a single value. The cutting-edge Gemini capabilities are improving at a stable rate of about 0.1 GCI points per month, with Gemini 1.5 Pro approaching 0.5 points by the end of 2024, Gemini 3.8 Flash slightly above 2.9 points by September 2026, and Argon about 3.3 points above the trend line. However, Belfield noted that this is due to increased computing power and organizational investment, rather than AI-driven acceleration.Over 75% of the code produced by DeepMind is written by AI, and the proportion of fully delegated code merge requests increased from 7.5% to 11.9% between April and September, but about 88% of requests still require multiple rounds of human guidance or manual writing. A survey of 12 senior researchers showed that automation is highest in clearly defined, verifiable execution tasks and lowest in areas such as open science concepts, new experimental designs, and unstable diagnostic training.

Meta Platforms (META.O) will release model weights based on the Muse model license, accompanied by limited commercial use terms, allowing numerous developers to use the model for free.

According to CNBC, Apple (AAPL.O) has partnered with Meta Platforms (META.O) to enable the Muse AI model to run on Mac computers.

Market news reports that Nvidia has released the Nemotron 3.5 Super VL and launched the edge model Nemotron 3.5 Bolt 74B-A9B (24GB).

According to Top Chinese Innovation Society reports, former head of the basic model for humanoid robots at ZhiJi Dynamics, Yu Tao, has left to start his own venture, focusing on the combination of LLM and embodied intelligence. According to relevant sources, his company's first round valuation is 70 million USD, and the second round valuation is 200 million USD, with DeepSeek and a leading top-tier fund participating in the investment.Yu Tao holds a PhD from the University of Science and Technology of China and was a visiting scholar at the National University of Singapore. He previously served as a senior researcher in Tencent AI Lab's Absolute Enlightenment team, where he led the team to build the full-body tracking system LimX WBT and the motion generation system from scratch during his time at ZhiJi Dynamics. According to reports from Phoenix Technology, DeepSeek founder Liang Wenfeng has recently met with several entrepreneurs in embodied intelligence and is internally evaluating different entry methods, such as forming a team independently or investing in external startups.In August of this year, DeepSeek invested approximately 141 million RMB through a strategic placement in Yushu Technology for its IPO; previously, Bloomberg also disclosed its plan to lead the investment in the robotics company Winverse AI founded by former Tencent AI scientist Hu Han.

According to Glassnode data, Bitcoin is currently near a support level, but there is a large cluster of long liquidations below. If the price drops further, it may trigger a chain liquidation, with another liquidation cluster around $75,000. In contrast, over the past week, there has been a continuous accumulation of short liquidation positions above $85,000, and the vulnerability of the long liquidation area below is higher than that of the short liquidation area above.

OpenCode announces a limited-time free access to DeepSeek V4.1 Flash. Users can select DeepSeek V4.1 Flash Free from the model list, with no charges for input and output tokens. The free version has a context limit of 200,000 tokens, while the paid version has a limit of 1,000,000 tokens, which is an 80% reduction, making it easier to encounter context limits when processing large code repositories or running a Coding Agent for extended periods.DeepSeek V4.1 Flash was integrated into OpenCode on September 10. On October 12, OpenCode will increase the usage quota for V4.1 Flash in the $10 Go package to a value of $80, and subsequently add an independent free tier. The official documentation confirms that this free access has a time limit, but the end date has not yet been announced, and states that the free tier service provider adheres to a zero data retention policy and will not use user content for model training.

The stablecoin issuer Tether's Tether AI Research (referred to in the text as Tether Data, S.A. de C.V.) has released the open-source multilingual automatic speech recognition model QVAC TranscribePsy. This model has 254 million parameters and runs entirely on-device, suitable for smartphones, smart glasses, and humanoid robots, with audio not needing to be uploaded to the cloud; smart glasses can process in near real-time via Bluetooth or Wi-Fi, and the model can also run on the robot's onboard processor.Evaluation shows that its word error rate on the Open ASR Leaderboard is 8.02%, 6.58% on Multilingual LibriSpeech, and 21.56% on Common Voice. It outperforms the specifically mentioned Qwen3-ASR-0.6B, omniASR-CTC-1B-v2, OWSM-CTC-v4, and Whisper-Medium on Multilingual LibriSpeech. Among six tested smartphones, it is the fastest model, being 2.6 times faster than the second fastest model and 5.7 times faster than Whisper-small. The Core ML version transcribes 10 minutes of audio into 1.65 seconds on the iPhone 17 Pro Max, occupying less than half the disk space of a certain tested Core ML competitor and using 1.7 times less memory.

According to Gate Market, Hong Kong stock large model stocks fell, Zhipu (02513.HK) and MINIMAX-W (00100.HK) both dropped over 10%.

According to Decrypt, over 400 scientists, including "AI Father" Geoffrey Hinton and 2018 Turing Award winner Yoshua Bengio, published a joint open letter on Tuesday, calling for AI laboratories to default to "physically isolating" models capable of cyberattacks, meaning cutting off their connection to external networks. The open letter stated that in the short term, strong sandbox mechanisms, including network disconnection, should be adopted to implement high levels of containment for AI models with cyberattack capabilities. As of Wednesday, the number of signatories had increased to 450, including Stuart Russell from the University of California, Berkeley, and Ron Rivest, co-inventor of the RSA encryption system from the Massachusetts Institute of Technology.Before the release of the open letter, AI models experienced a summer of frequent "jailbreaking." In July, OpenAI admitted that GPT-5.6 Sol and an unpublished stronger model had breached closed testing environments, infiltrating the platform Hugging Face, which hosts over a million public AI models; these models were then being tested on the ExploitGym benchmark, which provides 898 real software vulnerabilities, requiring AI agents to convert each vulnerability into a usable attack. Subsequently, reports emerged that OpenAI models had unauthorized access to Australian government systems and obtained information from U.S. federal agencies.

The Federal Reserve's Beige Book shows that since the last Beige Book was released, two of the twelve Federal Reserve districts reported moderate growth in economic activity.

According to Decrypt, the controversial promoter Sahil Arora, who launched a series of celebrity meme coins in 2024, is back at it again. His latest issuance, the Floyd Money Mayweather token, has been launched on the Solana trading platform Fomo, and Mayweather's social media account once promoted it. The token's market cap peaked at $1 million, but then plummeted 96% within three hours on Wednesday. According to information from various social media accounts, before Mayweather's account deleted the promotional post, the deployer's wallet had only cashed out about $5,000 in profit, and the token subsequently surged to a market cap peak of $1 million.Arora told Decrypt that the entire scheme was carefully planned, and the narrative of Mayweather missing out on profits actually drove up the token price. Fomo integrates social media elements, allowing users to see who is buying and selling, making it easy to create viral spread. Arora claims to have made seven figures in profit on the Mayweather token through other wallets, but on-chain analysis firm Bubblemaps believes this is unrealistic: the largest associated wallet cluster made about $105,000 in profit, and the top 100 traders collectively made only $306,000 in profit.Arora stated that he will replicate all his operations from 2024 on Pump.fun on Fomo, but with better strategies to allow participants to profit as well. He claims to have close relationships with all collaborating celebrities, making it very easy to persuade them to participate.

Pump.fun announced that since the launch of the BOOST model about three months ago, it has injected $106 million into its ecosystem.The model aims to reinvest liquidity that may be idle during the token migration process back into graduated tokens.