Raw LLM Responses
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Time for an environmental tariff on everything made in China, seeing as they dis…
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Read "Ai As Retirement: How To Save Capitalism From Itself" by Jim Hayes....100%…
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For all thinking its a robot or real fight with computer so its just edited vide…
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how do you fly on planes then, they use autopilot ?? space ships - auto pilot ??…
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After 10 years she didn't get older she is a robot that's why chat gpt doesn't k…
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Ok there was an old movie starring Yul Brenner called Westworld. .. this is givi…
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For a fairer contest, the real photos shouldn’t be edited so much - it genuinely…
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Once we had to believe or not an eyewitness of an event. We had to decide if we …
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Comment
@leosnyder5264 I am completely with you on the part about the Lord but the part of AI that allows it to keep learning new things without forgetting old information is primarily called Continual Learning or Lifelong Machine Learning.
Here is a breakdown of the terms and concepts involved in this process:
Continual Learning (or Incremental Learning): This is the ability of an AI model to learn from a continuous stream of new data, updating its knowledge over time rather than relying on a single, static training dataset.
Lifelong Machine Learning (LML): Similar to continual learning, this refers to systems that accumulate knowledge over a "lifetime," using past experiences to learn new tasks more efficiently.
Online Learning: A specific technique within continual learning where the AI updates its model incrementally as each new data point arrives, rather than in batches.
Preventing Catastrophic Forgetting: A critical challenge in AI learning is preventing the model from forgetting old information when it learns new information. Techniques like Experience Replay (revisiting old data) or Regularization (constraining model changes) are used to prevent this.
Transfer Learning: A method where the AI applies knowledge learned from one task to a new, related task, speeding up the learning process.
youtube
AI Governance
2026-01-25T18:1…
Coding Result
| Dimension | Value |
|---|---|
| Responsibility | none |
| Reasoning | deontological |
| Policy | none |
| Emotion | indifference |
| Coded at | 2026-04-27T06:24:59.937377 |
Raw LLM Response
[
{"id":"ytr_Ugx8-2Fsh23rmg2nAbN4AaABAg.APBf3vzvU0bAPRVB-HLNXi","responsibility":"developer","reasoning":"consequentialist","policy":"liability","emotion":"outrage"},
{"id":"ytr_UgwLunTLDdBoaZK3qe14AaABAg.AOQ6DiqT0WOAQxjxhOsL1V","responsibility":"ai_itself","reasoning":"consequentialist","policy":"none","emotion":"approval"},
{"id":"ytr_UgwLunTLDdBoaZK3qe14AaABAg.AOQ6DiqT0WOAQyMVwvTAhc","responsibility":"none","reasoning":"deontological","policy":"none","emotion":"indifference"},
{"id":"ytr_UgweYvzR7AbEU0dfKkF4AaABAg.AO3YD-ZoSKLAP1flM5aRtv","responsibility":"company","reasoning":"consequentialist","policy":"regulate","emotion":"outrage"},
{"id":"ytr_UgweYvzR7AbEU0dfKkF4AaABAg.AO3YD-ZoSKLAPsIaekn9Um","responsibility":"ai_itself","reasoning":"unclear","policy":"unclear","emotion":"fear"},
{"id":"ytr_Ugx8APfoGBCNKH2AXsB4AaABAg.ANodqmo0jxuAOC_SCkCzwH","responsibility":"ai_itself","reasoning":"deontological","policy":"none","emotion":"mixed"},
{"id":"ytr_Ugz1MPphQwYIWmG6PUx4AaABAg.ANjEIH4HIhFASOMp6chXEx","responsibility":"none","reasoning":"deontological","policy":"none","emotion":"resignation"},
{"id":"ytr_Ugz1MPphQwYIWmG6PUx4AaABAg.ANjEIH4HIhFASPsx9lh6zK","responsibility":"none","reasoning":"deontological","policy":"none","emotion":"indifference"},
{"id":"ytr_UgxgkWBxZcmQj2HYK8l4AaABAg.AN4BEgi6G0DANt4w3l6gLv","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"indifference"},
{"id":"ytr_Ugx-OwVlLwtmvNKDiQJ4AaABAg.AMXiVangWuNAMXvLBsuEOl","responsibility":"ai_itself","reasoning":"consequentialist","policy":"none","emotion":"mixed"}
]