From 2022 to 2025, we witnessed a meteoric rise in generative artificial intelligence. But in the last year, something has begun to shift. For a long time, the mantra was “more parameters = better performance.” Today, the focus is on a more ambitious goal: the actual ability to reason .
Why is climbing no longer enough?
Models like GPT-4 and Claude 3 Opus demonstrated that size does not guarantee common sense. Although they are capable of generating sophisticated text, they fail at chained logical reasoning, mathematical operations, or more abstract inferences. Added to this is the energy and economic cost of scaling without limits. Training a model like GPT-5 requires resources comparable to launching a satellite.
A new paradigm is born: cooperative intelligence
The answer lies not in creating a single, larger model, but in coordinating multiple specialized models , as occurs in agent architectures or multi-RAG environments. In this new paradigm, one model plans, another searches for information, another reasons step by step, and another generates the final response. This is a distributed cognitive system.
This improves not only accuracy but also auditability. Instead of having a "black box" that generates a response, you can see which part of the system contributed to which part of the reasoning.
Practical examples
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CrewAI and LangGraph allow you to design workflows with several specialized agents.
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Microsoft AutoGen allows you to delegate specific tasks to submodels, such as validating calculations, generating code, or translating instructions.
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Claude, for example, has demonstrated sophisticated reasoning skills in task planning and ethical debates, thanks to his approach focused on reflective dialogue.
What are the implications of this?
If 2023 was the year of language, and 2024 the year of multimodality, 2025 will be remembered as the year AI began to reason more rigorously. This not only changes technical development but also user expectations, as users now expect clear, consistent, and verifiable explanations from the AI they use.
👉 We recommend reading our article about ChatGPT's interpretation of our emotions.