The Massachusetts Institute of Technology (MIT) showcased a brand new robot training model this week that abandons the previous focus on training methods centered around specific datasets, opting instead for an approach that utilizes vast amounts of information similar to that used in training large language models (LLMs). Researchers noted that imitation learning—where agents learn by mimicking individuals performing tasks—can fail when facing minor challenges. These challenges may include varying lighting conditions, different environmental setups, or new obstacles. In such cases, the robots lack sufficient data to adapt to these changes.

Large Language Models (LLMs) like GPT and Llama have sparked a revolution in the field of artificial intelligence, but efficiently training these massive models while aligning them with human values remains a challenge. Reinforcement Learning with Human Feedback (RLHF) has become an important training method for LLMs in recent years, but traditional RLHF frameworks have limitations in flexibility, efficiency, and scalability. To address these issues, the ByteDance Doubao Large Model Team has open-sourced an RLHF framework called HybridFlow.

AI video platform D-ID today announced the launch of two new virtual avatars — Express and Premium+, aimed at enhancing the quality and efficiency of content creation. More and more enterprises are looking to use more human-like AI avatars to ease the burden of video production, particularly in marketing, sales, and customer support. D-ID's new models are designed to secure a place in this competitive market. The training time for the Express avatar is approximately one minute of video.

Recently, ByteDance quietly launched an AI model sharing community called 'Lumi'. The platform integrates various functions including model sharing, workflow building, and LoRA training, although it is currently still in the internal testing phase. Product entrance: https://top.aibase.com/tool/lumi. The core highlight of Lumi is its model sharing and management features, allowing users to easily upload their developed AI models.

Opening in January 2025, Fred Fitness in Santa Monica will officially welcome guests. This gym, with its innovative AI-driven personalized workout concept, is expected to revolutionize the U.S. fitness market. Backed by the European fitness giant Clever Fit and utilizing cutting-edge EGYM technology, Fred Fitness is dedicated to providing members with tailored training plans and real-time guidance, allowing everyone to enjoy a fitness experience akin to having a personal trainer, but at a significantly lower cost.

Recently, ByteDance officially addressed rumors regarding an 'intern disrupting large model training'. The company confirmed that an intern did maliciously interfere with the model training tasks of the commercialization technology team's research project. However, this action did not affect the company's official commercial projects and online business, nor did it involve other large model businesses of ByteDance. Moreover, ByteDance pointed out that claims circulating online about 'involving over 8,000 nodes and causing losses of over ten million dollars' are seriously exaggerated. According to public reports, the intern was part of ByteDance's commercialization technology team.

The social networking platform X (formerly Twitter) updated its privacy policy on Wednesday, sparking widespread attention and discussion. The new policy indicates that X will, by default, allow third-party "partners" to use platform data to train AI models unless users actively choose to opt out. This move not only highlights X's efforts to seek new revenue sources but also raises concerns regarding user data privacy protection. Key changes in the new policy include: Third-party data usage: New terms allow third-party partners to use X user data, including for AI model training. Users have the option to choose.

Social network X (formerly Twitter) updated its privacy policy on Wednesday, indicating that it will allow third-party 'partners' to use X data to train their AI models unless users opt out. This change may position X similarly to other social media platforms and media organizations that consider licensing data to AI companies as a potential new revenue source. In the updated privacy policy, X added a paragraph detailing how X user data will be used and how users can opt out.

At a recent video cloud technology conference, Volcano Engine unveiled a significant innovation: a video preprocessing solution for large model training. This technology has been successfully applied to the Doubao video generation model, marking a significant advancement in AI video generation technology. Volcano Engine's President, Tan Dai, emphasized that AIGC and multimodal technology are profoundly changing user experience. Leveraging experience from Douyin, Volcano Engine is actively exploring the integration of AI large models with video technology to provide comprehensive solutions for enterprises. Wang Yue, Head of Video Architecture at Douyin Group, pointed out that large model training faces numerous challenges.