{"id":6089,"date":"2025-04-19T09:31:16","date_gmt":"2025-04-19T07:31:16","guid":{"rendered":"https:\/\/site.nord.no\/didaktiskebetraktninger\/?page_id=6089"},"modified":"2025-06-29T12:20:51","modified_gmt":"2025-06-29T10:20:51","slug":"summary","status":"publish","type":"page","link":"https:\/\/site.nord.no\/didaktiskebetraktninger\/summary\/","title":{"rendered":"Summary"},"content":{"rendered":"\n

«The shameless exaggerations surrounding large language models (LLMs) would be laughable if LLMs were not diverting so much energy, money, and talent into a seemingly bottomless pit<\/em>.\u00bb
– Professor Gary Smith, 2025 (1<\/a>)<\/p>\n\n\n\n

«LLMs have basically indexed the internet, and in processing this data have created links between datasets based on fixed rulesets. This means that similar information is grouped together, weighted and linked to other similar areas. A big mesh of interconnected data. This is not AI. This is data mining<\/em>.\u00bb
– Ian Venner, 2025 (2<\/a>)<\/p>\n\n\n\n

«GenAI models are trained to fill in the blanks. To claim that they do more than this would be an extraordinary claim that should require extraordinary evidence. Instead, we are mostly treated to the logical fallacy of affirming the consequent. The models perform as if they are reasoning (for example), so they must be reasoning. The alternative hypothesis is that they are copying (approximately) the language that was used by reasoning humans.<\/em>\u00bb
– Herbert Roitblat, 2024 (3<\/a>)<\/p>\n\n\n

\n
\"\"<\/figure>\n<\/div>\n\n\n

Below is a concise overview of this blog book\u2019s chapters generated by Microsoft Copilot, using its «Think Deeper» option<\/strong>.<\/em> Copilot\u2019s statistical analysis of the letters and sentences across the various chapters is by no means poor, offering a clear and accessible overview of this book and its chapters.<\/strong><\/p>\n\n\n

\n
\"\"<\/figure>\n<\/div>\n\n
\n
\"\"<\/figure>\n<\/div>\n\n\n

This blog book is focusing on the capabilities, limitations, and implications of modern AI, particularly large language models like ChatGPT and Microsoft Copilot :<\/p>\n\n\n\n