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AI development should focus on decision-making, not just scale

The author argues that the current AI development path, focused on scaling models and context windows, is hitting diminishing returns. Instead, true intelligence and AGI require adaptability, which is defined as the ability to make decisions in novel situations by combining context, experience, and core priors. The author introduces Mnemon as a system that captures accumulated experience, allowing agents to improve over time without retraining, and envisions a complete system called EROS for human-AI partnership. AI

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IMPACT Argues for a shift in AI development focus from scale to adaptability and decision-making, potentially influencing future research directions.

RANK_REASON The article presents an opinion on the future direction of AI development, advocating for a focus on decision-making and adaptability over mere scale.

Read on dev.to — LLM tag →

COVERAGE [1]

  1. dev.to — LLM tag TIER_1 · Mahika jadhav ·

    The Decision Machine

    <p>by Mahika Jadhav, may 2026<br /> There are two paths artificial intelligence can take from here.</p> <p>The first is the one most labs are racing down: larger models, more training data, wider context windows. Tokens get cheaper. Attention spans get longer. The bet is that sca…