11 ต.ค. เวลา 04:13 • ธุรกิจ

The Paris Olympics and the Evolution of Large AI Model Business Models

This summer, the globally anticipated Paris Olympics provided a stage for athletes to showcase their talents, while also presenting opportunities for the commercialization and industrialization of AI and large model technologies. A French company developed an AI Q&A assistant called AthleteGPT, which interacts with athletes around the clock.
Alibaba's Tongyi became the first large-scale AI model technology provider for the Olympics, supporting live broadcast signal distribution, assisting in event commentary, 360-degree live streaming, and bullet-time video generation. Additionally, other technologies like Baidu's AI-assisted diving training system and SenseTime's smart basketball systems, along with various referee assistance and decision-making products, were also showcased.
AI large models have become a key force driving innovation across various industries. In April 2024, the International Olympic Committee (IOC) released the "Olympic AI Agenda." However, challenges such as rising AI chip prices, limited computing power, intensified competition, and stagnant growth in consumer applications have made the commercial pathway for AI large models less straightforward.
Even after rapid industry growth, leading AI companies are still in a money-burning phase, requiring various commercial partnerships and product integrations to sustain continuous updates and iterations of large models. With the fleeting nature of many industry applications, how can businesses achieve a closed-loop commercial model focused on the iterative core capabilities of AI large models? A mature industrial model may already offer some answers.
From "Monopoly" to "Control" – Large AI Models Gradually Moving Behind the Scenes
The advent of ChatGPT marked the beginning of the AI era, with its ability to rapidly attract a large following, leading the market to believe that products based on large models have the potential to become the gateway to the next digital age and a symbol of user entry into the intelligent era. The influx of capital also suggests that AI large models and AI assistants have great potential to become new internet gateways and traffic distribution hubs.
From a technical perspective, AI large models possess powerful language understanding and generation capabilities, providing users with more intelligent and precise services. AI assistants can proactively execute tasks based on user intentions, enabling more personalized interactions.
In terms of application scenarios, AI large models and AI assistants not only play roles in intelligent customer service and intelligent search but are also gradually permeating education, healthcare, finance, and other industries. For example, in intelligent search, a new internet portal battle has begun, with Perplexity's simple and direct search style already diverting a significant number of Google users, becoming a new avenue for information acquisition.
As technology continues to evolve, AI will achieve "monopoly" on two levels in the future digital world. On one hand, AI assistants will become the gateway for users to access the digital world, assisting them in acquiring, processing, and sending information. On the other hand, AI assistants will act as intelligent operating systems, managing and accessing various applications to meet user needs.
From the user’s perspective, intelligent services significantly reduce the learning curve for various applications; from the perspective of the digital world's information flow structure, AI large models will quickly centralize the internet world, with human interactions increasingly mediated by AI.
The rapid iteration of AI has sparked concerns about "control." From tech leaders like Elon Musk calling for a halt to the development of more powerful AI, to various associations publicly warning of AI's potential dangers, countries have begun preparing policies to regulate the safe development framework for AI large models.
For B2B companies, adopting advanced third-party AI technologies can improve customer experience, drive traffic to their own brands, and boost product sales. For large model developers, leveraging established channels to promote large models can reduce external antitrust pressure, obtain training data, and expand diverse application scenarios, which is the best soil for model upgrade and iteration.
Through collaboration, both parties can maintain a leading position in an increasingly competitive market. Plus, if you are finding a convenient website to edit your photo, you can have a look on Picit.ai, its image generating function is fabulous as well.
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