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A British AI enthusiast argues that many companies are building artificial intelligence in a way that overlooks critical foundational issues. The author suggests that instead of focusing solely on smarter models, larger context windows, or more autonomous agents, there should be additional layers to ensure the AI operates within realistic and acceptable parameters.
- The proposed model includes SENSE (reality representation), CORE (reasoning), and DRIVER (governed action).
- These layers are seen as crucial for ensuring that AI systems can operate safely and effectively inside institutions, rather than just providing intelligence.
- This perspective challenges the conventional view of AI development where model capability is prioritized over runtime governance.
The author questions whether companies are actually addressing these foundational issues or if they remain focused on model performance and agent demonstrations.
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– The proposed SENSE-CORE-Driver architecture highlights missing layers in current AI systems.
– Current industry focus often centers around intelligence, overlooking the need for robust reality representation and action governance.
– There is a potential shift towards prioritizing runtime controls over model capabilities when AI moves from aiding humans to operating within institutional frameworks.
Originally published at reddit.com. Curated by AI Maestro.
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