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AI systems require real-world interaction with people and institutions to effectively learn and evolve.

AITechnologyEducationMay 3, 2026score 0.172 posts · 0 replies across 1 instances
The thread discusses the evolution of AI and its interaction with society, emphasizing the need for real-world feedback loops and the importance of understanding language models through their ability to predict words accurately.

Claims

AI systems require real-world interaction with people and institutions to effectively learn and evolve.
Parent: AIEntity: AI developmentImpact: positiveDate: May 3, 2026Target: AI development
Accurate prediction of the next word in a sequence is a significant indicator of a language model's understanding.
Parent: AIEntity: language modelsImpact: positiveDate: May 3, 2026Target: language models

Source posts

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vitrupo (@vitrupo) 샘 알트만은 AI 위험은 이론적으로만 깊게 생각한다고 해결되지 않으며, 시스템이 실제 사람과 제도와 상호작용하면서 학습해야 한다고 말했다. 사회와 기술은 함께 진화하며, 진짜 피드백 루프는 첫 접촉 이후 시작된다는 점을 강조했다. https://x.com/vitrupo/status/2050600213241594309 #ai #safety #openai #policy
0 boosts · 0 favs · 0 replies · May 3, 2026
#ai#safety#openai#policy
@[email protected]
vitrupo (@vitrupo) 일리아 수츠케버가 다음 단어를 정확히 예측하는 것이 진정한 이해로 이어진다고 언급했다. 대규모 언어모델의 핵심 원리와 학습 방식에 대한 중요한 관점을 제시한 발언이다. https://x.com/vitrupo/status/2050736968041210316 #llm #ai #machinelearning #openai
0 boosts · 0 favs · 0 replies · May 3, 2026
#llm#ai#machinelearning#openai