老外为Kimi K3吵翻,质问美国为什么没有留住杨植麟
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AI-powered legal services company Norm has raised $120 million in funding, led by Khosla Ventures.
PANews reported on July 7th that, according to Bloomberg, AI legal startup Norm has completed a new funding round of $120 million, valuing the company at approximately $1.2 billion post-money. The round was led by Khosla Ventures, with participation from Blackstone, Bain Capital Ventures, Coatue Management, and others, bringing its total funding to over $260 million. Founded in 2023, Norm differs from traditional software vendors by operating its own Norm Law firm, providing clients directly with legal services delivered by lawyers and AI engineers, charging based on results rather than hourly rates. The company is also developing "AI-driven regulatory AI" compliance agents for regulated industries such as finance and healthcare, and plans to use the new funding to expand its engineering and legal teams and strengthen its systems.
Google Antigravity version 2.2.1: Integrates system key ring and fixes multi-agent deadlock.
According to Beating's monitoring, Google Antigravity has released version 2.2.1. Addressing the frequent issue of authorization expiration faced by developers, the new version supports automatically writing refreshed OAuth credentials into the operating system's security keyring (such as Apple Keychain or Windows Credential Manager), eliminating the need for repeated web page authorization pop-ups. Simultaneously, workspace search has been upgraded to substring matching mode, fixing path non-existence errors caused by prefix search and resolving deadlock issues in sub-agent operation. Multimedia and environment compatibility have also been optimized. The new version adds direct playback capabilities for .mp3 and .wav audio formats in the sidebar and deliverables window, and adds C++, Python, and Protobuf syntax highlighting to Markdown. For Windows platform users, the update fixes repeated triggering of UAC access control and errors accessing the system environment variable PATH directory. The system also includes a built-in Antigravity Guide to answer platform usage questions. However, some developers have encountered obstacles during the upgrade and experience. Community feedback indicates that an issue with the upgrade channel has caused some users to be stuck on the older 2.1.4 version with no available updates. Additionally, the client is forced to default to a resolution of 1400x900 pixels each time it launches, and the new version has removed the inline command editing functionality previously triggered by Ctrl+I, drawing numerous user complaints.
Google's flagship model, Gemini 3.5 Flash, natively supports PC control, unlocking enterprise-level intelligent agent automation.
According to Beating's monitoring, Google has integrated the Computer Use functionality as a built-in tool directly into its main model, Gemini 3.5 Flash. Before native integration, developers had to use a dedicated Gemini 2.5 Computer Use model to execute agent tasks. With native integration, developers and enterprise users can directly control devices through the Gemini API or the Google Cloud Gemini Enterprise Agent Platform (formerly Vertex AI platform), simplifying agent development architecture. The built-in Computer Use tool receives screenshots from browsers, mobile devices, or desktop environments, performs visual perception and step-by-step reasoning, and then outputs operation commands such as mouse clicks, keyboard input, scrolling, and menu navigation to complete long-process automated tasks such as continuous software testing and cross-web data collection. To facilitate debugging and auditing, the model generates commands with an "intent" field to explain the logic of each operation. To address the risk of tooltip injection that agents may encounter in real-world network environments, Google has conducted targeted adversarial training on its models and provides two optional safeguards: mandatory human approval for irreversible operations such as payments and file deletions; and automatic task termination if indirect injection commands are detected in screenshots. Browserbase currently offers an online hosted demo environment (gemini.browserbase.com), and Google has also open-sourced a reference implementation called computer-use-preview on GitHub.
Google Gemini launches Interactions API: Reconstructing intelligent agents to end "phantom bills".
According to Beating's monitoring, Google has officially made the Interactions API the default interface in the Gemini API and Google AI Studio, while the original interface generateContent has entered maintenance. The new interface will package multi-turn dialogues, model thinking, tool calls, and execution results into a unified package and store them as Interaction resources on the server side. The most direct benefit is cost-effectiveness and labor-saving. Since the server automatically saves the dialogue state, during multi-turn chats, the client only needs to send the interaction ID of the previous step, and Google can automatically reuse it and improve the cache hit rate, significantly reducing token fees. For time-consuming tasks such as code sandbox running or deep search, developers can enable background mode to allow the work to run asynchronously in the background. In addition, intermediate steps such as model thinking and tool calls are fully visible, making it easy to troubleshoot bugs in the operation of intelligent agents in real time. The underlying refactoring directly solved the billing crisis that broke out in early June. At that time, after manually deleting the cache, due to cloud synchronization delays, the cancelled resources were still running in the background, resulting in some accounts being abnormally deducted nearly 27,000 RMB within 12 hours. Additionally, the model is prone to getting stuck in a thought loop during online searches, still charging the full amount of 64,000 tokens even in a "zero output" state with no responses. The Interactions API replaces manual deletion with a server-hosted "implicit cache" and allows developers to monitor and halt the thought process, providing a more secure billing defense. Since Google's future cutting-edge models and agent features (such as Deep Research) will only support the Interactions API, developers are officially advised to complete the adaptation as soon as possible.
Li Bojie responded to the Metagent investment dispute, stating that ABCDE Capital only received $500,000.
On July 7th, PANews reported that Li Bojie, co-founder and former CTO of Metagent, responded to accusations from Du Jun, a partner at ABCDE Capital. Li stated that of the $1.5 million stipulated in the investment agreement, only $500,000 had been received, with the remaining $1 million unpaid. However, the cap table still calculated ABCDE's equity based on $1.5 million. Li Bojie stated that due to the prolonged delay in funding, he and his co-founders voluntarily took pay cuts, hindering the company's recruitment and R&D. He resigned in October 2024 due to family reasons and Web3 compliance issues in mainland China. Before leaving, he disclosed the cap table and business progress as required, and stated that subsequent entrepreneurial projects avoided areas related to non-compete clauses, such as Web3, AI infrastructure, and image generation.
Du Jun: Metagent founder Li Bojie refuses to fulfill investment agreement and has gone missing.
According to Odaily Odaily, Du Jun, co-founder of ABCDE Capital, wrote that Li Bojie, founder of Metagent, is "the founder with the least sense of contractual obligation" he has ever worked with. Du Jun stated that Li Bojie founded Metagent in 2024 and received investment from ABCDE Capital, but subsequently refused to fulfill the basic obligations stipulated in the investment agreement, including updating investors on business progress and financial status, and later even disappeared. Du Jun said that venture capitalists can accept project failures, but cannot accept fraudulent behavior such as founders "running away" after receiving investment.