Artificial intelligence has taken a decisive step forward with the rise of ChatGPT. Yet, faced with the limitations of giant models, a new approach is emerging: intelligent agents, capable of redefining the future of AI.
ChatGPT: Evolution and Impact
The emergence of ChatGPT in late 2022 marked a turning point in AI. Based on the GPT-3.5 model, ChatGPT reached 100 million users in just two months, setting a historic record. Its algorithm facilitated a wide range of tasks, from coding to generating content ideas, and many companies integrated this technology into their products, driving rapid development in the AI market.
Limits of Powerful AI Models
Despite the momentum, giants like OpenAI and its competitors have encountered growth limits. Each new update requires exponentially increasing resources, gradually limiting real progress. For example, while the transition from GPT-3 to GPT-4 marked significant improvements, the next expected release will be less impactful. This dynamic of diminishing returns leads to the exhaustion of resources and temporarily renders the approach unproductive.
Path to Intelligent Agents
In response to these challenges, the AI industry is turning to intelligent agents capable of executing concrete actions beyond text generation. Agents like DeepResearch, Manus, among others, have begun to perform more complex tasks, from data analysis to automating routine processes. This opens up new horizons both for business environments and personal use.
Intelligent agents represent a new turn in AI development, providing broader possibilities for interaction with technology. Their integration into various fields will allow for process automation, improved task accuracy, and the development of new working methods.
