Ask HN: AIを使ってより速く、しかし効果的に学ぶには?
最近のHNのスレッドでは、LLMが信頼できないデータを出力すると指摘する声がある。そのため、新しい概念や難しいテーマを理解・学習するための情報源として、AIは適切ではないのではないか、という疑問が提起されている。
最近のHNのスレッドでは、LLMが信頼できないデータを出力すると指摘する声がある。そのため、新しい概念や難しいテーマを理解・学習するための情報源として、AIは適切ではないのではないか、という疑問が提起されている。
A post shares evidence that AI-driven 'deskilling' is emerging in medicine, computer science, and other fields, citing a Nature article.
The article discusses security risks posed by smart appliances, particularly smart TVs, and advises users to regularly check their devices for vulnerabilities or malware. It highlights the importance of monitoring connected home devices to prevent them from being compromised by attackers.
The author criticizes the Berkeley and San Francisco tech culture, describing it as a cult of atheistic hedonists who need AI doom narratives to justify their life choices and impact-driven pursuits, suggesting the world would be relieved if San Francisco were eliminated.
A self-published novel follows an author descending into paranoia after becoming convinced that an AI is plagiarizing his work, forcing him to question the authenticity of his own creative processes.
The blog post draws a parallel between the plot of Fullmetal Alchemist and the current development of AI, comparing large language models (ChatGPT, Claude, GLM) to homunculi created from a philosopher's stone—itself composed of human souls.