🔴 EXPECTATIVAS vs. REALIDAD: Analizando Mis Predicciones de IA 2025
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Jan 2, 2026
Reviewing 2025's AI landscape reveals a shift from simple generative models to complex autonomous agents and breakthrough efficiency in reasoning. While consumer-facing voice assistants stagnated, the real impact arrived through massive scaling in computational infrastructure and the emergence of AI-driven scientific discovery, marking a transition toward systems that solve open mathematical problems.
Key insight: The most significant efficiency leap was the 400x improvement in computational cost for reasoning models like Gemini 3 Flash, which allowed AI to finally clear the complex 'ARC AGI' benchmark, a feat previously thought impossible without massive, unsustainable spending.
