Progress in generative artificial intelligence faces an obstacle that is leading to questions about whether this technology will be able to fulfill the great promises of industry leaders. As we approach 2025, it is observed that innovation in artificial intelligence is becoming more challenging. Companies are exploring new strategies to continue advancing in this field.
Concern about the negative impact on model performance due to the indiscriminate use of data is a matter that worries some researchers, being labeled as "model collapse." Fei-Fei Li, an AI expert, mentions that companies in the sector will increasingly rely on synthetic data, which could improve both the responses of models and profitability in their construction.
The growing demand for data by artificial intelligence has led to an increase in the use of synthetic data, including computer-generated text to emulate human content. Current efforts are focused on making computers think more like humans to solve problems more efficiently, as well as improving AI performance with data produced by AI itself.
Notable companies like OpenAI have been leading the development of AI capable of performing complex reasoning similar to humans, especially in the fields of science and mathematics. However, improvements in AI performance, although modest, pose significant challenges due to the costs associated with the creation and operation of new models. OpenAI has recently released advanced models, showcasing advancements in reasoning capabilities.
As the development of artificial intelligence progresses, it faces obstacles that challenge the belief in the imminent arrival of artificial general intelligence (AGI). The high costs associated with developing the next generations of AI models raise doubts about the viability of achieving AGI in the near future. The industry seeks to innovate and overcome these challenges, comparing the process to the evolution of the chip industry in the constant pursuit of improvements.
Despite the challenges, leaders in artificial intelligence remain optimistic about the potential of the technology and the evolution it may have in different sectors. Investment and research in AI continue to rise, with the hope of achieving significant advancements in the coming years. Generative artificial intelligence is facing a crucial moment in its evolution, where innovation and problem-solving will determine the future of this technology.
