On July 31, 2026, Geely Auto Group CEO Gan Jiayue announced the establishment of a '2030 Lab' to strengthen forward-looking technology research in areas including acoustics, optics, comprehensive safety, power semiconductors, digital chassis, embodied intelligence, data science, large models, and AI agents. The lab aims to reserve disruptive technologies for the company's 2030 strategy. Geely also plans to fully convert its fuel vehicles to HEV, targeting monthly sales of over 30,000 i-HEV units by year-end as part of its 'Million China Star' goal. Two new methanol hybrid models, the Galaxy Starshine 6 EF and Galaxy Starship 7 EF, will launch soon and support flexible fueling with any ratio of methanol and gasoline. The Xingrui i-HEV, the first model with the i-HEV system, was priced at 10.77–11.97万元 during presale and is equipped with the Qianli Haohan H3 driving assistance system. This move is part of Geely's All-Domain AI strategy, which has evolved to version 2.0 with the World Behavior Model (WAM) for cross-domain vehicle coordination.
Industry insiders and investors from Qianjue (robot brain), Shunheng (tactile sensors), Mengyou (companion robot Ropet), and Inno Angel Fund discussed the real-world hurdles of embodied AI deployment. Key facts: Qianjue COO Xiao Haimo revealed a 1-second response gap from user expectations due to ASR–cloud–TTS latency, already serving ~100k terminals. Shunheng co-founder Shi Yuanyuan noted that precision assembly in factories requires touch for the last 0.01mm, and that large models are not yet used in their POC; she argued B2B must drive supply-chain cost reduction before home robots can scale. Mengyou CEO He Jiabin shared that Ropet faced heat dissipation and wear issues, delaying shipment from March to July/August, yet achieved over 20k units with 80%+ 90-day retention by focusing on emotional value and ‘life-sense’ rather than chat. Investor Wang Sheng stated that the early investment window for World Models is closing, that 2024 will judge real landing capability, and that home robots are at least 3 years away; he believes the brain (world model) commands the most value but the paradigm war remains unresolved. All panelists agreed that embodied AI has moved past storytelling and must now prove paying customers and real-scene performance; a consensus forecast is that robots capable of doing half of household chores at half human efficiency, running a week without failure, is at least 3 years off.
A user on V2EX reports that their dozens of OpenAI Codex accounts have all reached the usage quota limit. They were anticipating an imminent update to a 5-hour limit, but no change has been observed. The post asks the community for any news or information about the current Codex quota status.
A new open-source plugin called TSLM has been introduced to improve BT anime name recognition in media management tools like NAStools, MoviePilot, and AutoBangumi. The plugin currently relies on an external API, and a testing API is available to users who join the developer's Telegram group and request an API key. The developer plans to release the full model weights, API source code, and inference libraries (Python/Java) under the same GitHub organization in early August, after which the test API will be discontinued, and users can self-host the service.
ZGI has shared its open-source Agent Runtime platform designed to run AI agents in production. The platform provides unified management of multiple models including GPT, Claude, DeepSeek, and Qwen, along with enterprise knowledge base integration. It features visual workflow composition with conditional logic, tool calls, and human approval, as well as reusable Skills for file generation and data queries. Every execution is traceable with node-level inputs, outputs, errors, and token usage. ZGI can be deployed via Docker on private infrastructure, and source code is available on GitHub and Gitee. A developer trial event offers 10,000 tokens for approximately 50 basic tasks.
SUB&SUB studio has released Markup Relay, an open-source browser-based tool that lets users annotate images and videos to help AI coding agents understand visual context. Files can be dragged in and annotated with a selection tool; unselected areas are automatically blurred. For videos, keyframes are extracted to describe dynamic changes. Processed files are uploaded to Cloudflare R2 and automatically deleted after a set time. The team is seeking feedback via ProductHunt.