AI systems are not an existential threat to humanity, as they are driven by statistical pattern recognition and lack true consciousness or independent decision-making capabilities.
Gender representation in the film industry remains significantly skewed, with women underrepresented in acting, directing, and producing roles.
Large Language Models (LLMs) struggle to provide accurate and up-to-date information in specialized domains like medicine, law, and finance. Retrieval Augmented Generation (RAG) and Graph Retrieval-Augmented Generation (GRAG) address this limitation by allowing LLMs to access and utilize private and specialized data without the need for complex fine-tuning.
The environmental costs of the AI industry are significant and damaging, especially for vulnerable populations.
Smaller language models can sometimes outperform the most advanced large language models in specific tasks, challenging the assumption that bigger is always better.
Large Language Models (LLMs) are not as intelligent as commonly portrayed and are more akin to sophisticated databases than true reasoning systems.
Certain use cases are not well-suited for LLM or Generative AI, and decision-makers should carefully evaluate the appropriate AI techniques for their specific needs.
영국 정부가 AI 산업에 대한 13억 파운드 규모의 투자를 중단했다. 이는 AI 기술에 대한 과대 광고와 실제 성과 사이의 격차가 커지면서 나타난 결과로 보인다.
단결정 Al2O3 유전체를 이용하여 고성능 2D 트랜지스터 상부 게이트를 제작하였다.
The AI industry, led by OpenAI, is facing a potential collapse, which could have far-reaching consequences for the entire technology sector and the broader economy.