The Expert Insights section invites experts in the field of artificial intelligence to share their viewpoints and insights.
It includes interviews, columns, and opinion pieces to provide insights from industry experts.
Offers readers authoritative voices and in-depth insights from within the industry.
NVIDIA’s Jensen Huang unveils the Blackwell GPU, breaking Moore’s Law, and outlines a roadmap to dramatically reduce GPT-4’s power consumption.
LLMs appear to have memory but are functionally stateless, relying on context rather than actual memory, as revealed by recent studies.
Six AI engineers share a year’s worth of hands-on experience with large language models, offering valuable insights and practical tips.
Research confirms GPT-4’s theory of mind matches and exceeds human capabilities, particularly in complex sixth-order reasoning.
Exploring how accurate prediction and efficient compression are foundational to artificial intelligence.
Summary:Elon Musk claims AI will cause job loss but lead to higher universal income and more personal freedom to pursue passions.
Summary:GPT-4Turbo excels in financial analysis and stock prediction, outperforming human analysts with higher accuracy and better returns, especially for small companies.
Hinton unveils Ilya Sutskever’s early intuitions and journey, highlighting his role in developing Scaling Law and transformative AI models.
Summary: Fei-Fei Li and John Etchemendy argue that large language models (LLMs) lack true subjective experience, regardless of their complexity.
Summary: An in-depth analysis of the current advancements in AGI, exploring how close we are and how to safely achieve it.
Summary: Nvidia’s Jensen Huang manages 60 executives directly, avoids 1-on-1 meetings, and foresees AGI advancements within five years.
Summary: Nvidia’s Blackwell AI chip, priced at $70,000, promises a 30-fold performance increase and significant energy savings, setting new standards in AI technology.
Summary: OpenAI’s John Schulman shares his perspective on the evolution of large language models, emphasizing the importance of sample efficiency and the potential for AI to perform complex tasks.
Summary: Geoffrey Hinton asserts that larger AI models foster greater creativity by effectively encoding information and identifying analogies across different domains.
Summary: This article analyzes the effectiveness of 26 different prompt strategies to improve the performance of large language models (LLMs), based on the latest research findings.
Summary:Analyzing how AI startups are revolutionizing industries by offering transformative solutions and experiences.
Summary: Despite advances in AI, systems like ChatGPT lack the genuine comprehension of the world that characterizes human intelligence.
Summary: An in-depth look at the groundbreaking achievement in neuroscience—a detailed map of a human cortical fragment produced by Google and Harvard researchers.
Summary: Infants may be critical to developing more intuitive AI systems, offering insights into natural learning and interaction.
Summary:AI pioneer Fei-Fei Li discusses the ethical challenges and misinformation risks posed by AI, advocating for responsible innovation.