Agency and Architectural Limits: Why Optimization-Based Systems Cannot Be Norm-Responsive | ScienceToStartup | ScienceToStartup

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References (6)

[1]

Training language models to follow instructions with human feedback

2022Long Ouyang, Jeff Wu et al.

[2]

Language Models are Few-Shot Learners

2020Tom B. Brown, Benjamin Mann et al.

[3]

Deep Reinforcement Learning from Human Preferences

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"Explores why Large Language Models with optimization-based architectures cannot comply with normative constraints, offering a substrate-neutral architectural specification for genuine agency."

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Agency and Architectural Limits: Why Optimization-Based Systems Cannot Be Norm-Responsive

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References (6)

Founder's Pitch

"Explores why Large Language Models with optimization-based architectures cannot comply with normative constraints, offering a substrate-neutral architectural specification for genuine agency."

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Agency and Architectural Limits: Why Optimization-Based Systems Cannot Be Norm-Responsive

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Founder's Pitch

"Explores why Large Language Models with optimization-based architectures cannot comply with normative constraints, offering a substrate-neutral architectural specification for genuine agency."

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