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According to official social media news, Huobi HTX asset research analyst YT will be a guest at the sixth session of the Huobi Celebrity Lecture "Beyond Crypto: New Opportunities in TradFi Trading" today at 19:00 (UTC+8). At that time, YT will present on the topic "TradFi Perpetual Contracts: From Trading Entry to Macro-Driven Asset Allocation," sharing insights on the trading logic of TradFi perpetual contracts, core assets, and macro driving factors, analyzing how crypto traders can understand the TradFi market, and further exploring asset allocation and trading opportunities.YT has been deeply involved in the digital asset industry for many years, possessing a composite experience in industry research, project due diligence, on-chain data analysis, asset evaluation, risk control, and macro research. YT has participated in the rating and risk review of hundreds of projects, covering team backgrounds, token economics, holding structures, market value management, and compliance risks. Currently, YT focuses on the linkage between macroeconomics and the crypto market, identifying market trends and potential risks by combining global liquidity, on-chain capital flows, and derivative structures, and providing research support for TradFi decision-making.

Market operator Kalshi has submitted an application to the U.S. Commodity Futures Trading Commission (CFTC) to launch a copper perpetual contract COPPERPERP. This contract will track the spot price of copper priced in U.S. dollars and will use price data from blockchain market data provider Pyth Network.The contract will be cash-settled and will not involve physical copper delivery; periodic payments between long and short traders will help keep the contract price aligned with the copper price. Perpetual contracts have no expiration date, allowing traders to hold positions indefinitely without needing to roll over to a new contract. Kalshi was previously approved in May to offer Bitcoin perpetual contracts and has submitted an application for index perpetual contracts. Less than a week before the copper perpetual contract application was submitted, a judge in Washington state had ordered the company to cease offering bets related to sports, elections, politics, and other events in the area.

According to LatePost, ByteDance is discussing a large model with training parameters exceeding 50 trillion, surpassing Alibaba's Qwen 3.8-Max (24 trillion) and Moonlight K3 (28 trillion), making it the largest known plan in the country so far. This plan is still in its early stages and does not guarantee a final release. The new model is intended to be led by Xiang Liang, head of Seed Foundation, in collaboration with Shen Ke, who is responsible for the pre-training data of large language models. Seed is reorganizing, dividing responsibilities, and allocating resources based on this.Two weeks ago, ByteDance founder Zhang Yiming held a company-wide meeting with Seed head Wu Yonghui. Zhang reassured the team that training large models is inherently difficult and that it is acceptable to lag behind for a period of time, hoping to aim for the upper limits of intelligence and join the world's top tier. He acknowledged that programming is a key direction at present, advocating for the integration of Volcano Engine, Feishu, and Doubao resources to build computational power and data advantages, while reminding not to be led by a single hot topic. He praised Seedance's differentiated leadership and clearly opposed distillation, believing it is difficult to truly surpass and that AGI barriers should be built from a more fundamental level, stating that the company will continue to increase investment in AI.In the past six months, Seed's multimodal performance has been outstanding, with Seedance 2.0, Seedream, and others driving Volcano Engine MaaS, but the market response to the language model Seed 2.0 has been limited, and its lagging coding capabilities have affected the revenue structure. ByteDance has hired Guo Daye at a high salary to specialize in coding and has consolidated related resources. In the face of the industry's general trend of increasing model sizes, ByteDance hopes to achieve a leapfrog advantage with a larger scale while promoting the elimination of horse racing and breaking down departmental walls to concentrate efforts on tackling challenges.

China has begun to relax import restrictions on NVIDIA's H200. ByteDance and Tencent have each received about 10,000 H200 in recent weeks, and several other tech companies may soon be approved for similar quantities.The United States had previously approved several Chinese companies to purchase H200, but the transactions had been stuck in the Chinese approval process. Now, chips are finally starting to enter the mainland in batches, but it is far from a complete opening.Beijing currently only allows a small number of H200 to enter the mainland, hoping that companies will deploy more chips in overseas regions such as Hong Kong. Mainland procurement still requires separate approval. This approach allows leading AI companies to continue using NVIDIA to train cutting-edge models while also leaving market space for domestic chips like those from Huawei.

According to market news, Ant Group plans to sell 3% of its shares in the Indian digital payment and fintech company Paytm for $309 million.

According to the SemiAnalysis podcast, Anthropic has set extremely strict classifiers for the public version of its flagship model Mythos, called Fable, due to regulatory pressure. Users attempting specific actions will be immediately downgraded to the Opus model, and conversations cannot be reverted. Dylan Patel, founder of SemiAnalysis, stated that the classifier restrictions are "too harsh," and even internal employees cannot complete routine tasks with it.The podcast mentioned that the Mythos model completed training as early as February, but Anthropic did not release it under the name Fable until May. Jordan stated in the discussion that, to his knowledge, Mythos 2 has completed training but has not been released, and the internal R&D team is believed to still be iterating. Analysts believe that Anthropic's previous long-standing calls for regulation have now resulted in regulatory measures that limit the release pace of its own models. Similarly, OpenAI is also delaying the public release of its next-generation models, but internal training is still progressing, and the capability gap between internal models and public models may continue to widen.

According to the official announcement, to meet the diverse investment needs of users, Bitget has launched perpetual contracts for 3 stocks and ETFs: GDX (Gold Mining ETF), NET (Cloudflare), and LYTE (Photonics and Optical ETF).The above contracts are all settled in USDT, supporting up to 20 times leverage and 24/7 trading. As of now, Bitget supports a total of 276 stock perpetual contract underlying assets.

Payward (the parent company of Kraken) stated that in the coming weeks, it will use Claude Mythos 5 to scan for vulnerabilities in all Payward environments, and the findings will be directly incorporated into its existing security program.

According to Catcher Predict monitoring, in the predicted market Polymarket for the event "Dota 2: Iron Wing vs. GamerLegion - The International Elimination Match," the sub-market "Ends During the Day" saw the "Yes" option's win rate fluctuate dramatically, soaring from 50% an hour ago to the current 90.5% (a fluctuation of 40.5%). Please note the impact of related breaking news.

According to monitoring by Catcher Predict, in the predicted market event "Dota 2 BoomBoys vs Aurora Group Stage" on Polymarket, the sub-market "Ends During the Day" option's win rate has experienced significant fluctuations, soaring from 50% an hour ago to the current 90.5% (a fluctuation of 40.5%). Please note the impact of related breaking news.

British cybersecurity startup Cytix announced the completion of a $7 million Series A funding round, led by UK venture capital firm Northern Gritstone, with existing investors Auriga Cyber Ventures and NPIF II -- PXN Equity Finance participating.Founded in 2020, Cytix focuses on addressing the security risks of software changes brought about by AI-assisted development, agent workflows, and continuous delivery. Its change risk management platform helps enterprises identify high-risk changes and take appropriate measures.

According to Catcher Predict monitoring, in the predicted market Polymarket for the event "Dota 2: MOUZ vs Rune Eaters - EPL Masters Playoffs," the sub-market "Ends During the Day" for the "Yes" option has experienced a dramatic fluctuation in winning probability, soaring from 50% an hour ago to the current 90% (a fluctuation of 40%). Please note the impact of related breaking news.

In response to rumors on social media about "Doubao recommending hotels for a fee," Liu Xing, the head of public affairs for Doubao at ByteDance, stated on the evening of August 10 that the related statements are inaccurate. He indicated that Doubao's life service business currently does not have paid promotions, and Doubao does not charge advertising fees for hotel recommendations; merchants cannot influence recommendations or rankings through payment, and only pay channel service fees after an order is completed.Liu Xing pointed out that some platforms adopt a "commission + advertising" charging model, while Doubao primarily charges based on completed transactions at this stage, making direct comparisons inappropriate. For merchants, the actual channel costs and the effects of new orders are more meaningful references. He also mentioned that Doubao's life service business is still in a very early exploratory stage.

Google announces the addition of artificial intelligence and agent features to Google Ads and Google Analytics.

According to the Financial Times, as Chinese companies continue to narrow the gap with the top AI labs in the United States, ByteDance is training an AI model that may be close in scale to Anthropic's advanced Mythos system. According to three insiders, this Chinese tech giant is currently in the early stages of training a large-scale model, which may have a parameter count reaching the trillions, approximately three times that of the largest model released in China, the Kimi K3 model under the Moonlight brand.One insider stated that ByteDance's model is currently undergoing pre-training, a phase that typically takes three to six months. If all goes well, it will then undergo fine-tuning and be released. The specific scale of the model will be determined later. Anthropic has not publicly disclosed the parameter scale of its models, but industry estimates suggest that its advanced Mythos 5 model has a parameter count of about 8 trillion, while Fable 5 has around 5 trillion.It is important to note that the number of parameters determines the model's basic capacity for storing information or memory limit, but the actual capabilities of the model also depend on other factors, including data quality and training methods.

The U.S. Department of Justice (DOJ) announced that Liu Zhou, the founder and principal operator of the cryptocurrency financial services company MyTrade, was recently fined $10,000 in federal court in Boston for participating in a cryptocurrency market manipulation scheme.Prosecutors stated that MyTrade provided so-called "Volume Support" services to cryptocurrency projects through its "MyTrade MM" platform, using bots to execute false trades (wash trading) across multiple cryptocurrency exchanges, artificially creating trading volume and market activity to mislead investors. According to the plea agreement, MyTrade MM has ceased providing "Volume Support" services and permanently shut down the related wash trading bots, while adding a statement on its website acknowledging that "Volume Support constitutes wash trading, which is illegal under U.S. law." The U.S. Department of Justice stated that the case was jointly pursued by the U.S. Attorney's Office and the Boston division of the Federal Bureau of Investigation (FBI).

According to a report by LatePost, ByteDance is discussing training a model with a parameter scale exceeding 50 trillion, surpassing Alibaba's Qwen3.8-Max (24 trillion parameters) and the K3 from Dark Moon (28 trillion parameters), making it currently the largest known model in terms of parameter scale in the country. Generally speaking, the larger the model scale, the higher the level of intelligence.However, this plan is still in the early stages and does not guarantee that the model will ultimately be released. The new model will be led by Xiang Liang, head of SeedFoundation, in collaboration with Shen Ke, who is responsible for the pre-training data of large language models. To this end, Seed is reorganizing, defining responsibilities, and allocating resources.

ByteDance founder Zhang Yiming clearly stated at the Seed team all-hands meeting last month that the company will not use model distillation as a shortcut to catch up with large models, even if it temporarily falls behind domestic competitors. He urged the team to be willing to sacrifice short-term gains for long-term goals.Distillation refers to allowing a new model to learn from the outputs of a stronger model, which can save training time and computational power. Internally, ByteDance believes that this choice will make it more difficult for Seed's language model to catch up with domestic peers like DeepSeek, Kimi, and Qianwen in the short term. However, ByteDance is more concerned about political risks: the company has long faced scrutiny from the U.S. government due to TikTok, and if it is accused of massively extracting the capabilities of cutting-edge U.S. models, Washington may apply pressure on TikTok again. Previously, Anthropic accused DeepSeek, Dark Side of the Moon, MiniMax, Zhiyu, and Alibaba of massively extracting Claude's capabilities, but did not name ByteDance.

According to The Information, ByteDance founder Zhang Yiming told employees at a meeting last month that the company would not use distillation technology to advance its artificial intelligence model capabilities, even if it means the company temporarily falls behind domestic competitors.

According to monitoring by Catcher Predict, in the event "Dota 2: PlayTime vs Team Resilience (BO3) - Future Match Playoffs" on the prediction market Polymarket, the "PlayTime" option in the sub-market "First Kill in the Second Game?" has experienced a dramatic fluctuation in win rate, soaring from 50% an hour ago to the current 75% (a fluctuation of 25%). Please note the impact of related breaking news.