{"id":340933,"date":"2024-08-28T15:20:33","date_gmt":"2024-08-28T13:20:33","guid":{"rendered":"https:\/\/climatescience.press\/?p=340933"},"modified":"2024-08-28T15:20:35","modified_gmt":"2024-08-28T13:20:35","slug":"ai-model-collapse","status":"publish","type":"post","link":"https:\/\/climatescience.press\/?p=340933","title":{"rendered":"AI-Model Collapse"},"content":{"rendered":"\n
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3d rendering humanoid robot with ai text in ciucuit pattern<\/figcaption><\/figure>\n\n\n\n

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From Watts Up With That?<\/a><\/p>\n\n\n\n

Guest Opinion by Kip Hansen<\/a><\/p>\n\n\n\n

Last week I wrote an article here titled:  \u201cIllogically Facts \u2014\u201cFact-Checking\u201d by Innuendo<\/a><\/em><\/strong>\u201d.  One of my complaints about the fake fact-check performed by three staff at Logically Facts <\/em>was that it read suspiciously like it had been written by an AI-chat-bot, a suspicion bolstered by the claim-to-fame of Logically Facts <\/em>is that it is an AI-based effort. <\/p>\n\n\n\n

I made the following statements:<\/p>\n\n\n\n

\u201d<\/em>Logically Facts <\/em>is a Large Language Model-type AI, supplemented by writers and editors meant to clean-up the mess returned by this chat-bot type AI.    Thus, it is entirely incapable to making any value judgements between repeated slander, enforced consensus views, the prevailing biases of scientific fields and actual facts.  Further, any LLM-based AI is incapable of Critical Thinking and drawing logical conclusions.\u201d<\/em><\/p>\n\n\n\n

\u201cLogically Facts and the rest of the Logically empire, Logically.ai<\/a>, suffer from all of the major flaws in current versions of various types of AIs, including hallucination, break-down and the AI-version of \u201cyou are what you eat\u201d.<\/em><\/p>\n\n\n\n

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The article is very well written and exposes<\/a> one of the many major flaws of modern AI-Large Language Models<\/a> (AI LLMs).   AI LLMs are used to produce both text response to chat-bot type questions, internet  \u201csearches\u201d, and to build on-request images.<\/p>\n\n\n\n

It has long been known that LLMs can and do \u201challucinate\u201d.  The Wiki gives examples here<\/a>.  IBM gives a very good description of this problem<\/a> \u2013 which you should read right now \u2013 at least the first half-dozen paragraphs have a moderate understanding how these examples could occur:<\/p>\n\n\n\n

\u201cSome notable examples of AI hallucination include:<\/em><\/p>\n\n\n\n