In recent years, artificial intelligence technology has developed rapidly, and AI social networking has become a new hot spot of competition. Major manufacturers have entered the game one after another, trying to use emotional sensing and other technical means to create a more attractive social platform and reshape the way people connect. However, the current homogeneity of AI social products on the market is serious, the business model is not yet clear, and the product maturity also needs to be improved.
Major manufacturers are involved in AI social networking, with emotion perception as the main feature, trying to reshape social links. Although there are commercialization attempts for each product, the differences are not obvious yet, and the product perfection needs to be improved. AI social applications are limited by large model capabilities and competition is fierce.
All in all, although the AI social field has broad prospects, it still faces many challenges. Product homogeneity, technical bottlenecks and business model uncertainty will all become key factors restricting its development. In the future, whoever can take the lead in breaking through these bottlenecks will stand out from the competition.