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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

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 →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

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

How we ranked this

Signal score
0 / 100
Composite score across the factors below. Higher = stronger signal that this story matters right now.
Newsworthiness bucket
Commentary
The article presents an opinion on the future direction of AI development, advocating for a focus on decision-making and adaptability over mere scale.
Source corroboration
Single-source cluster
Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
Topics
opinion, other
Editorial topic classification. Feeds into how the story surfaces on /topic/<slug> hub pages and into the per-entity coverage mix.
AI-industry relevance
High
Clearly on-topic for AI-industry coverage.
Story freshness
126 days old
Aged out of breaking-news scoring windows; ranking reflects the durable signal from the full source set.

Full methodology in our editorial standards.

COVERAGE [1]

  1. dev.to — LLM tag TIER_1 English(EN) · 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…