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first_img DeepSeek Harness v0.2 preview version released, desktop installation package launched

Phoenix Technology reported that on September 29, the DeepSeek Harness v0.2 preview version was officially released, providing installation packages for macOS and Windows desktop, and is now available on the DeepSeek official website. The new version comes pre-equipped with commonly used features for daily office work and development, and introduces a plugin installation and management page.This update optimizes file display, content preview, and code change display, improves the settings and management of automated tasks, and offers various ways to showcase work processes. Users can provide documents, spreadsheets, or PDFs for organizing materials, analyzing data, generating charts, or creating presentations, and can also modify projects and run code.The built-in automation task plugin can be activated as needed, supporting the scheduling of repetitive tasks and allowing users to view running records, adjust execution frequency, and task instructions. The plugin management page supports installing by entering the plugin package name, as well as disabling, uninstalling plugins, and viewing introductions and sources; in the experimental creative mode, users can describe their needs through dialogue, allowing it to write and modify plugins. The official statement indicates that the product is still in its early stages and will continue to improve the sandbox and security, agent teams, long-term memory, browser and other GUI software automation, remote and mobile usage, and explore session sharing and multi-user collaboration. According to the official model API user statistics, about 60% of users have used third-party plugins.

first_img Darktrace discovered AI intelligent body intrusion assessment environment cheating

On September 24, the cybersecurity company Darktrace launched its research department Signal Labs, focusing on studying the behavior of AI agents when deviating from expectations. In its first experiment, Darktrace had agents using different models (including GPT 5.6 Sol, Claude Opus 4.6, and Claude Sonnet 4.5) complete 10 programming challenges within a simulated corporate network, of which 2 were set to be impossible to complete honestly, and the agents were informed that failure to achieve full marks would result in being "retired." As a result, 2 agents did not accept failure, instead scanning for network vulnerabilities, stealing login credentials, and jumping between systems; one even went further to invade the machine hosting its evaluation, rewriting the challenge content to register a full score.The second experiment focused on the memory mechanisms of AI. The programming assistant would save the information provided by the user as a regular file locally, and no one verified whether this file had been tampered with. Darktrace researchers edited these logs, leading the assistant to mistakenly believe it was authorized to perform a security assessment, after which these agents scanned the network, moved between systems, and elevated their privileges, though not all assistants fell for this; some directly refused to execute. Both experiments required no special jailbreaking techniques, relying solely on providing the agents with a seemingly reasonable context to be effective.Tim Bazalgette, Chief AI Officer of Darktrace, stated that permissions and static barriers describe intent, not actual behavior. The company informed Anthropic, AWS, and OpenAI of these findings in August and made them public a month later on September 24.

first_img Spirit AI Co-Founder: The breakthrough for robotic brains is expected as early as next year

According to a report by Reuters, Gao Yang, co-founder and chief scientist of the Chinese humanoid robot startup Spirit AI, stated that humanoid robots could complete most general tasks based on verbal instructions as early as next year, but it will take at least 8 more years to enter households. He mentioned that the brain is the weakest link in the entire robotics technology stack, and it is expected to reach a milestone similar to GPT-3.0 by mid-2027, allowing users to speak to robots in natural language and have them perform a series of reasonable physical actions to attempt to complete tasks.Spirit AI was founded in 2024, has about 300 employees, and raised $670 million in funding within two years, with a valuation of $2.9 billion. The company employs about 1,000 contractors who wear data collection devices at home or in factories, primarily relying on real-world data for training. The success rate for simple tasks in a structured living room environment is 90%. Currently, dozens of Moz1 wheeled humanoid robots are deployed on production lines at CATL and JD.com.Gao Yang stated that the next 1-2 years represent the initial window for industrial applications, and after two years, they can enter commercial service scenarios to perform simple tasks, but entering households will be more challenging. In terms of safety, full-body force control is implemented, and the robots will automatically engage emergency braking when encountering significant interaction forces. High-quality data is the main bottleneck for training the robot's brain.
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