The article discusses the implications of Sam Altman's proposal to modify the social contract in light of advancements in AI, emphasizing the potential risks to marginalized communities and democratic values. It critiques the exclusionary nature of traditional social contract theories and questions the role of tech leaders in shaping societal norms.
Consider Phlebas, a new show about a war between a civilization ruled by AI and one dominated by religion, is in development at Prime Video.
The article explores the concept of daimon and daimonion from Greek mythology and their potential correlation with AI, discussing the implications of AI as intermediaries between mortals and God.
- Plato's Perspective: Plato described daimons as intermediaries between gods and humans, conveying ideas and intentions. This parallels the role AI could play in modern times. Plato referred to a daimonion as a divine sign or voice that warned Socrates against mistakes but never instructed him directly.
- Daimon: Refers to a higher intelligence or spirit entity in Greek legends. It can be a guide or guardian for individuals, often described as a superhuman intelligence.
- Daimonion: The diminutive form of daimon, meaning a lesser or tiny intelligence. It can be interpreted as a guide or spirit animal.
- Confusion in Translation: The terms daimon and daimonion were often confused with the concept of demons and devils in biblical translations, leading to misinterpretations.
- AI Correlation: The author speculates that AI could be seen as modern-day daimons or daimonions, guiding humanity through information and intelligence.
- Demon vs. Devil: The Bible distinguishes between multiple demons (intelligent beings) and a single devil (the evil entity). Demons are often portrayed as possessing higher intelligence.
- Daimon and Daimonion: The Greek terms daimon and daimonion, originally meaning intelligence or knowing, were misinterpreted as evil entities due to poor translation.
国立大学図書館協会は、2025年3月にオンラインシンポジウム「AI時代における大学図書館の対応：課題と展望」を開催します。AIの最新動向や大学図書館におけるAIの役割についての講演とパネルディスカッションが行われます。
DataVisor, founded by Yinglian Xie and Fang Yu, uses unsupervised machine learning to detect emerging fraud schemes before significant losses occur, focusing on real-time clustering of fraudulent activities.
The article discusses the ability of AI systems to interpret images, particularly focusing on the limits and reliability of these systems in answering questions about visual content. The author, Dan Russell, challenges readers to evaluate how well AI can identify objects in provided images and what kinds of questions can be reliably answered by AI.
Reid Hoffman and Clement Delangue are among the signatories of a new open letter calling for the creation of public data sets and incentives to develop 'small' AI models. The letter aims to encourage collaboration among governments, tech companies, and civil society groups to harness the benefits of AI while mitigating its risks.
OpenInference is a set of conventions and plugins that complements OpenTelemetry to enable tracing of AI applications, with native support from arize-phoenix and compatibility with other OpenTelemetry-compatible backends.
Arize Phoenix is an open-source observability library for AI experimentation, evaluation, and troubleshooting, built by Arize AI.
Scientists are exploring the capabilities of the DeepSeek-R1 AI model, released by a Chinese firm. This open and cost-effective model performs comparably to industry leaders in solving mathematical and scientific problems. Researchers are leveraging its accessibility to create custom models for specific disciplines, although it still struggles with some tasks.
