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8 results for “neglect”
Salutary Neglect: Best AI Regulation Is Competition - RealClearMarkets
The article argues that competition—not government regulation—is the optimal mechanism for governing AI development and deployment, invoking historical precedent of 'salutary neglect' to frame non-intervention as a deliberate, beneficial policy choice.
Sep 4, 2026
Wise and Salutary Neglect: Why Competition Is the Best AI Regulation - RealClearMarkets
The article argues that minimal government intervention in AI development—termed 'wise and salutary neglect'—is preferable to prescriptive regulation, positioning robust market competition as the most effective, adaptive, and innovation-preserving form of oversight.
Sep 4, 2026
TPvG: A Moral Decision Framework for Large Language Models from One-Shot to Sequential Feedback
Researchers propose TPvG, a new moral evaluation framework for LLMs that introduces sequential decision-making with consequence feedback—moving beyond static, one-shot vignettes to better reflect real-world moral reasoning dynamics.
Sep 1, 2026
SDAM: Structure-Difference-Aware Memory Evolution for Complex Text-to-SQL
Researchers introduced SDAM, a new memory evolution mechanism for text-to-SQL systems that improves structural analysis and schema alignment, achieving measurable gains on BIRD-dev (+2.0) and Spider-test (+0.4) benchmarks.
Aug 14, 2026
How to Fail at Public Order
The article critiques Burlington's municipal leadership for policy failures affecting the middle class, but contains no AI or technology content despite being routed to an AI/tech feed.
Aug 12, 2026
Progressive Content Refinement with Decaying Reward Joint LinUCB
Researchers introduced a new contextual bandit algorithm called Decaying Reward Joint LinUCB that models reward decay to prevent over-exploitation in LLM iterative refinement, showing improved performance on Sentiment Reversal and GSM8K benchmarks.
Aug 10, 2026
AI coding agents can modernize research software but can't judge if the science is right
A field report co-authored by OpenAI and academic partners demonstrates that AI coding agents can dramatically accelerate the modernization of legacy research software, but reveals a critical limitation: they cannot assess scientific validity, shifting labor from coding to rigorous verification.
Aug 1, 2026
Anthropic launches its own drug discovery programs to tackle diseases Big Pharma considers unprofitable
Anthropic has announced it is initiating internal drug discovery programs targeting diseases deemed unprofitable by major pharmaceutical companies, positioning itself as a non-commercial actor in biomedical R&D.
Published Jul 4, 2026 · Analyzed Jul 6, 2026