arXiv:2605.01134v2 Announce Type: replace Abstract: The dominant noun-based modeling paradigm has fundamentally constrained AI development, precluding any adequate representation of the future as an open temporal dimension. This paper introduces a verb-based paradigm, together with precise definitions of \emph{timing computation} and \emph{possibility}, that enables AI to function as an effective instrument for realizing the grammar of our thought. Applied to longitudinal EHR data from 3,276 breast cancer patients, the framework empirically demonstrates: (1) automatic discovery of clinically s
The paper suggests a novel AI paradigm to address limitations in current AI models' ability to represent the future, indicating that computational methods are evolving to meet complex temporal reasoning demands. This timing is aligned with a broader push for more autonomous and intelligent systems.
A shift towards verb-based AI modeling and 'timing computation' could fundamentally alter how AI processes information, moving from static data interpretation to dynamic, predictive reasoning, improving AI capabilities across various applications, including medical diagnostics and strategic planning.
AI's predictive capabilities could be significantly enhanced by moving beyond noun-based models to verb-based, temporal reasoning, enabling more accurate and nuanced understanding of 'possibilities' rather than just existing states.
- · AI development sector
- · Healthcare diagnostics
- · Predictive analytics companies
- · Software developers
- · Companies reliant on current, static AI paradigms
- · Developers skilled only in noun-based methodologies
AI systems will become more adept at modelling complex temporal relationships and predicting future events with greater accuracy.
This improved temporal reasoning will enable more effective autonomous agents and decision-making systems in critical sectors.
The enhanced ability of AI to assess possibilities could lead to unforeseen breakthroughs in scientific discovery and societal planning, redefining the relationship between humans and intelligent machines.
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Read at arXiv cs.AI