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- Would AI Perform Better If We Simulated Guilt? - Slashdot
Would AI Perform Better If We Simulated Guilt? (sciencenews org) 10 Posted by EditorDavid on Saturday August 02, 2025 @08:36PM from the remorse-code dept
- Can AI ‘feel’ guilt? - Science News
Research based on game theory suggests if we program AI agents with a sense of guilt, they could behave more cooperatively, much like humans do
- Scientists Thought This Would Make AI Worse but It Made It . . .
It turns out that training an AI in a perfectly controlled environment may help it perform better in chaotic, real-world settings MIT researchers found that AI agents trained in a noise-free simulation often outperformed those trained in noisy conditions—even when tested in unpredictable environ
- New training approach could help AI agents perform better in . . .
Their results indicate that, in some situations, training a simulated AI agent in a world with less uncertainty, or “noise,” enabled it to perform better than a competing AI agent trained in the same, noisy world they used to test both agents The researchers call this unexpected phenomenon the indoor training effect
- Are We Living in a Simulation? The AI Simulation Hypothesis . . .
Explore the fascinating connection between AI and the Simulation Hypothesis Arguments for and against our reality being simulated
- New Apple study challenges whether AI models truly “reason . . .
New Apple study challenges whether AI models truly “reason” through problems Puzzle-based experiments reveal limitations of simulated reasoning, but others dispute findings
- AI Agents Perform Better With Less Training Noise
In a surprising twist on conventional wisdom, researchers from MIT and other institutions have discovered that training artificial intelligence agents in environments with less uncertainty can sometimes yield better performance than training them in environments that closely mimic the real world This phenomenon, dubbed the "indoor training effect," suggests that AI agents trained in simulated
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