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How do these limitations impact the efficiency and effectiveness of intelligent programming systems? 

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The limitations discussed in the contexts impact the efficiency and effectiveness of intelligent programming systems significantly. Challenges such as new failure modes in AI systems, unpredictable behavior, and the inability to explicitly validate due to trust issues hinder the assurance of system performance . Moreover, the bottleneck caused by data movement in modern architectures affects the performance, efficiency, and scalability of key applications, emphasizing the need for intelligent architectures that handle data well . Additionally, the lack of generality in AI systems, where designers spoonfeed methods for specific tasks, limits the systems' ability to adapt and solve diverse problems efficiently, highlighting the importance of metareasoning and intelligence at multiple levels for optimal system performance . These limitations collectively impede the overall efficiency and effectiveness of intelligent programming systems by restricting adaptability, scalability, and problem-solving capabilities.

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Papers (5)Insight
Journal Article•DOI
AI systems are dumb because AI researchers are too clever
Jacques Pitrat
01 Sep 1995-ACM Computing Surveys
6 Citations
Limitations in AI systems, reliant on designers for problem-solving methods, hinder generality and self-sufficiency, impacting efficiency and effectiveness by restricting adaptability and autonomy.
Open access•Posted Content
Intelligent Architectures for Intelligent Machines
Onur Mutlu
13 Aug 2020-arXiv: Hardware Architecture
1 Citations
Limitations in handling data impact efficiency and effectiveness of intelligent programming systems by bottlenecking performance, scalability, and energy consumption, necessitating intelligent architectures for improved outcomes.
Open access•Proceedings Article•DOI
Intelligent Architectures for Intelligent Machines
Onur Mutlu
01 Aug 2020
13 Citations
Limitations in handling data impact efficiency and effectiveness of intelligent programming systems by bottlenecking performance, scalability, and energy usage, necessitating intelligent architectures for improved outcomes.
Journal Article•DOI
The challenges for artificial intelligence and systems engineering
Jake Vanderlinde, K Robinson, Benjamin Mashford 
24 Feb 2022-Australian Journal of Multi-disciplinary Engineering
The limitations of AI, such as new failure modes, evolving behavior, and validation challenges, can hinder the efficiency and effectiveness of intelligent programming systems by affecting confidence and performance assurance.
Open access•Proceedings Article•DOI
Intelligent Architectures for Intelligent Computing Systems
Onur Mutlu
01 Feb 2021
11 Citations
Limitations in handling data impact efficiency and effectiveness of intelligent programming systems by bottlenecking performance, scalability, and energy consumption, necessitating intelligent architectures for improved outcomes.

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