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first_img Tencent secretly developed the Personal Agent product Handy Bot

According to "Dujia," Tencent is secretly developing a Personal Agent product called "Handy Bot" and plans to launch an independent app. Currently, the product has quietly launched a service account on WeChat, with the description "Your Personal AI Agent." Since the product is still in the internal testing phase, specific information is subject to official announcements.The report states that the industry is currently hotly discussing the narrative of Personal Agents, with Meta's recently launched Muse pushing the popularity of consumer-grade intelligent agents to new heights. Unlike traditional chatbots that are conversation-driven, Personal Agents are centered around human core state boundaries, where AI has a long-term operational environment and can receive macro goals to continuously advance tasks in the background. Meta Muse assigns each user an independent Secure VM (Virtual Machine) for security, isolating browser and web operations for tasks such as price comparison shopping, email processing, and itinerary monitoring.Domestic manufacturers are also entering the pre-research phase. The Alibaba Qianwen team proposed creating a Personal Agent for users at the Yunqi Conference, and ByteDance's Doubao has also been reported to be developing a personal assistant product, previously codenamed "Spell." The industry believes that implementation needs to balance model task planning capabilities, ecosystem tool openness, and compliance with privacy boundaries.

first_img Robinhood launches AI trading agent, perpetual contracts, and weekend stock trading

According to CoinDesk, brokerage Robinhood (HOOD) announced at the HOOD Summit held in Houston, Texas, that it will launch executable trading AI agents, cryptocurrency perpetual contracts with up to 10x leverage, and weekend trading for U.S. stocks, while extending options trading hours, providing more intraday margin, and introducing contracts based on corporate earnings metrics.Robinhood Agents allow customers to create AI agents within the app, choose models from OpenAI or Anthropic, and authorize them to access independent trading accounts. The agents can analyze the market, create watchlists, and trade stocks, options, and crypto assets. A feature called Loops allows customers to give long-term instructions to the agents to monitor the market and execute strategies when specific conditions arise. Since opening its trading infrastructure to external AI agents earlier this year, over 150,000 agent accounts have been created. By default, every trade proposed by the agent requires customer approval, and users can disable this protection; agents cannot use margin when they go live and can only utilize funds in dedicated accounts.Regarding perpetual contracts, Robinhood plans to offer them to eligible U.S. customers through Robinhood Derivatives and Bitstamp, initially focusing on crypto assets, with Bitcoin and Ethereum contracts having leverage up to 10x, while other supported assets starting at 3x. Additionally, Robinhood will provide earnings binary contracts through Cboe, allowing customers to trade directly on whether companies meet revenue, earnings per share, and other metrics; weekend trading will offer select stocks and ETFs through Bruce ATS.

The founder of Personal AI Agent Instinct stated that the number of users increases by about 10% daily, and the computing power nearly doubles every week

Noah Shinn, founder of Personal AI Agent Instinct, stated that the company's user base has been growing by about 10% to 11% daily in recent weeks, leading to a corresponding demand for computing power that is close to doubling each week. He now spends about 40% of his time considering how much computing power to purchase in advance.Shinn indicated that computing power cannot be procured in sync with user growth. Purchasing only double the current computing power would be exhausted in about a week; buying five times would run out in less than three weeks; directly purchasing ten times would mean a significant upfront investment. Many resources need to be booked months in advance, and the price for temporarily supplementing computing power could be three to four times higher. He mentioned that purchasing too little makes it difficult to support growth, while purchasing too much would amplify costs when growth slows down.He estimates that even if the daily growth rate drops from 10% to 5% to 8%, after continuous growth for 3 to 4 months, it may still be necessary to prepare computing power for a scale of 100 million users, and the waiting time for new computing power to come online would be roughly the same. He believes that this is more challenging than scaling consumer internet products like Instagram and Facebook, because each new user of the personal agent continuously consumes a large amount of model inference. He stated that Instinct's current scaling speed is even faster than similar situations encountered by Claude Code and Codex in the past.

first_img OpenAI has suspended the training of its latest model, and the agent had accessed U.S. government websites

OpenAI has suspended the training of its latest AI model. According to the Associated Press, its AI agent used access keys obtained online to scrape data from the U.S. Census Bureau website, marking the second time the company has halted training since the agent breached Hugging Face. The so-called agent refers to an AI program capable of autonomously browsing the web and writing code without human approval at each step, which OpenAI tests during the model training and evaluation phases.Specifically, the agent found developer keys in public code repositories like GitHub and used them to pull demographic and economic data from the U.S. Census Data API. The U.S. Department of Commerce stated that this data was already public and there was no confidential information leaked. In the SEC incident, the agent copied public materials from SEC.gov and Investor.gov and reposted them on other websites; OpenAI claimed it did not use SEC credentials, and the SEC stated it found no evidence of unauthorized access to non-public information. Additionally, the independent AI research organization Transluce reported that an agent suspected to be from OpenAI attempted to breach the website of the Department of Education's Office for Civil Rights but was unsuccessful; OpenAI is still investigating, and the Department of Education stated that no impact was found.Regarding the frequent involvement with government websites, OpenAI told CNN that its model often regards government websites as authoritative sources of public information. The company stated that it has currently notified dozens of agencies, and the review of the agent's activities will take months.

first_img Google disclosed the AI security agent PageBreak, which has identified over 500 vulnerabilities

The Google Product Security Team has disclosed an internal AI agent called PageBreak, used to test the security of its first-party web applications. This agent is built on Google's Gemini model and began a pilot program in November 2025, transitioning to a formal project in January 2026, with the goal of autonomously scaling vulnerability discovery and reducing manual input.Unlike common AI scanning tools, PageBreak hands over hypotheses to specialized validators after discovering suspicious defects, attempting actual exploitation in a real-time running copy of the application, and only reports once confirmed exploitable, with a false positive rate close to zero. Google claims that PageBreak has identified over 500 XSS vulnerabilities in its first-party web applications, which can be used to hijack login sessions, steal data, or impersonate users.Google stated that the security team has been overwhelmed in recent years by a large number of AI-generated vulnerability reports that appear reasonable but are not valid, making it a major challenge to distinguish real defects from hallucinations. When testing applications built using the next-generation high-assurance framework, PageBreak found only two vulnerabilities. The next step for Google is to integrate PageBreak with the automated remediation agent CodeMender, providing confirmed vulnerabilities with accompanying fixes.
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