In recent years, competition in the field of artificial intelligence has become increasingly fierce, and OpenAI's closed strategy is in sharp contrast to Meta's open source strategy. This article will analyze the advantages Meta has gained in the field of artificial intelligence through open source strategies, and explore the potential impact of its different development paths from OpenAI. Meta chose to disclose its algorithms, routes and papers, which is completely different from OpenAI’s confidentiality policy. This open attitude has won widespread praise from the industry and has also given it a significant advantage in the competition in the field of artificial intelligence.
OpenAI is becoming more and more closed, but its opponent Meta has won a lot of praise through open source. On January 18, Mark Zuckerberg announced that Meta is planning to build its own AGI that will reach or surpass human intelligence in most fields. Contrary to OpenAI's refusal to open their algorithms, routes, and papers, Meta chose to open to the end. In fact, Meta has open sourced almost all the infrastructure it developed in the past, such as React for web and APP development frameworks, and machine learning framework PyTorch. ChatGPT was developed based on PyTorch, and OpenAI also runs on PyTorch.Meta's open source strategy has made it widely recognized in the field of artificial intelligence and attracted many developers to participate in its ecosystem construction, which has laid a solid foundation for its long-term development. Although OpenAI's closed strategy can protect its core technology, it also limits its development potential and community participation. In the future, how two different development paths will affect the competitive landscape in the field of artificial intelligence deserves continued attention.