The aftermath of the ChatGPT earthquake based on the single mode GPT-3 has not subsided, and the multi-mode GPT-4 tsunami has quickly swept through the circle of friends.
This reminds us that predicting artificial intelligence is very difficult, "OpenAI CEO Sam Altman once said after the release of DALL-E 2. The fact proves that he is right. The decline of semiotic expert systems has led people to believe that artificial intelligence has come to an end. In 2012, deep learning ignited hope, and now it has dominated the AI field. With the increasing scale of the system, training time and funding costs are also constantly expanding. Just as everyone was concerned that adding parameters to the model was achieving diminishing marginal benefits, GPT-3 and GPT-4 successively announced to the world that larger and more complex deep learning systems could indeed unleash even more astonishing capabilities. The birth of ChatGPT also showed people the "disruptive" application results (fake news even claimed that the number of GPT4 parameters was 100 trillion).
The emergence of ChatGPT may indicate that the AI industry, which has gradually been considered to have reached the bottleneck of industrialization in the past few years, is still the most innovative fertile ground, containing huge opportunities. As new productivity begins to take shape, industries represented by industrial manufacturing may usher in a deeper AI transformation, ushering in the "ChatGPT moment" that belongs to the industry. In this process, technology companies that align with technological trends are also expected to take the lead in the market.