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Alibaba Launches AI Model That Can Read Human Emotions
Chinese e-commerce giant Alibaba has continued to make headlines by launching a new AI model that it claims is capable of reading human emotions. The model, called "R1-Omni", was developed by a team of engineers at Alibaba's Tongyi Lab. With the ability to read emotions at the core of user interactions, Alibaba confidently claims that R1-Omni can completely surpass competitors such as OpenAI's ChatGPT and many other LLM models currently on the market in terms of real-world experience.
Notably, R1-Omni is open source. In demos, the AI model was able to understand human emotions from videos, as well as describe their clothing and surroundings. Alibaba's new AI model takes computer vision to the next level, building on a previously released model called HumanOmni, also created by researcher Jiaxing Zhao and his colleagues at Tongyi Lab.
Technically, R1-Omni can be considered the first comprehensive multimodal language model that applies reinforcement learning with verifiable rewards (RLVR) – a technology that promises to improve AI’s ability to reason and analyze emotions. As a result, R1-Omni can quickly analyze and understand more accurately how visual and auditory information supports emotion recognition, and clearly identify which factors play a more important role in assessing each type of emotion.
Alibaba is investing heavily in AI tools and applications. The Chinese tech giant recently signed a partnership with Apple to bring AI features to iPhones in China, and challenged OpenAI by offering R1-Omni for free on its Hugging Face platform.
Alibaba’s ultimate goal is “artificial general intelligence” (AGI). CEO Eddie Wu made it clear to analysts in February that AGI is a top priority for the company. And the latest developments in AI are showing Alibaba’s efforts to position itself as a major player in the global AI race.
On the other side, OpenAI is also aware of the growing competition from rival AI platforms. The company released an updated GPT-4.5 model earlier this year that can detect subtle nuances in user prompts. However, the model is not available for free, but only for premium subscribers, which cost a hefty $200/month.
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