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Recently, ByteDance's Seed team officially launched a new Vision-Language-Action Model (VLA) called GR-3. This model demonstrates breakthrough capabilities in the field of robotic manipulation, not only understanding language instructions that include abstract concepts, but also precisely handling flexible objects. It also has the ability to generalize quickly to new tasks and recognize new objects. This achievement is seen as an important advancement toward a 'general-purpose robot brain'. Traditional robotic manipulation models often rely on large amounts of robotic trajectory data for training.

In the new energy vehicle market, Xiaopeng Automotive has once again drawn attention. On July 3rd, the Xiaopeng G7 Ultra was officially launched, becoming the first intelligent vehicle equipped with the local-end "VLA+VLM" large model. This innovative technology marks an important step forward for Xiaopeng in the field of intelligent driving. The Xiaopeng G7 Ultra is equipped with the VLA (active thinking and rapid decision-making capability) large model, making the driving experience more intelligent. In daily driving, the G7 Ultra can flexibly handle various complex driving scenarios, such as in traffic.

A research team at Nanyang Technological University in Singapore has recently unveiled an AI technology called SOLAMI, which can create lifelike 3D virtual characters that not only interact with you in real-time in the VR world but also understand your voice and movements, allowing for chatting, dancing, and even boxing! This is simply a blessing for gaming, virtual socializing, and singles alike! SOLAMI is an end-to-end social vision-language-action (VLA) modeling framework that leverages deep learning technology to translate user voice and movements into a form understandable by virtual characters.

微软近期发布了一款零样本文本到语音（TTS）模型VALLE-2，该成果在技术界引发热议，被认为是TTS领域的里程碑。VALLE-2的创新之处在于其零样本学习能力，仅需一小段陌生语音样本，便能模仿声音说任意文本，实现了惊人的即时模仿和编码器分组。它还改进了重复感知采样，提高解码稳定性，并简化了数据需求。在主观评分和客观指标的测试中，VALLE-2超越了前代模型VALLE，几乎达到人类语音水平。然而，强大的语音模仿能力也引发了对Deepfake技术滥用的担忧，特别是关于伦理考量和潜在风险，如模型对非英美口音处理能力及计算效率的改进空间。当前，微软仅将其作为研究项目，并强调了合成语音检测和授权机制的重要性。未来在语音助手、内容创作等领域的应用值得期待，同时需要关注技术的伦理使用与风险防控。更多关于VALLE-2的信息可访问项目页面：Microsoft官网。