This article details an iterative process of using ChatGPT to explore the parallels between Marvin Minsky's "Society of Mind" and Anthropic's research on Large Language Models, specifically Claude Haiku. The user experimented with different prompts to refine the AI's output, navigating issues like model confusion (GPT-2 vs. Claude) and overly conversational tone. Ultimately, prompting the AI with direct source materials (Minsky’s books and Anthropic's paper) yielded the most insightful analysis, highlighting potential connections like the concept of "A and B brains" within both frameworks.
This blog post details an experiment testing the ability of LLMs (Gemini, ChatGPT, Perplexity) to accurately retrieve and summarize recent blog posts from a specific URL (searchresearch1.blogspot.com). The author found significant issues with hallucinations and inaccuracies, even in models claiming live web access, highlighting the unreliability of LLMs for even simple research tasks.
AIやテクノロジーの進化に伴い、教育現場では何をどう学ぶべきかが問われる時代。学習環境デザイナー／学習科学者の美馬のゆりさんにインタビューし、AI時代に生きるために必要な力について語ってもらいました。
This article details how Coda and Grammarly integrate to improve team workflows, communication, and overall productivity. It highlights features like Coda's all-in-one workspace, AI assistance, and Grammarly's AI-powered writing tools for clarity, branding, and insight.
Newsweek interview with Yann LeCun, Meta's chief AI scientist, detailing his skepticism of current LLMs and his focus on Joint Embedding Predictive Architecture (JEPA) as the future of AI, emphasizing world modeling and planning capabilities.
This repository organizes public content to train an LLM to answer questions and generate summaries in an author's voice, focusing on the content of 'virtual_adrianco' but designed to be extensible to other authors.
This article examines the dual nature of Generative AI in cybersecurity, detailing how it can be exploited by cybercriminals and simultaneously used to enhance defenses. It covers the history of AI, the emergence of GenAI, potential threats, and mitigation strategies.
Research from LMU Munich and Waseda University found that Japanese participants were less likely to exploit cooperative robots and AI agents compared to participants from the US and Europe, attributed to differing cultural perceptions of guilt.
Raven provides AI-powered email security for M365 & Google Workspace, focusing on contextual security to protect against phishing, BEC, 3rd party risks, and data loss. It offers features like AI-based phishing protection, real-time vendor risk monitoring, internal threat detection, and a true email-native DLP solution.
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