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Epistemic Honesty: An Unusual Commodity for Large Language Models
I asked 290 LLMs to summarize a paper that has never existed. 62% of them confidently did. Recently Hiroko Konishi posted on X and wrote a report “Structural Inducements for Hallucination in LargeLanguage Models: An Output-Only Case Study and the Discovery of the False-Correction Loop” that has garnered significant attention. For me, it was like […]
The Risks of Using Gemini Code
I’ve been exploring using various AI coding agents over the past year. They generally work by using an API key, which charges per million tokens. That might sound like a lot, but keep in mind that the way LLMs function is by appending messages to all that’s gone before, so the length increases as the […]
The Risks of Using OpenAI
I never imagined that the first blog post in a long time wouldn’t be about my research but about recent events that are serving as an impediment to me completing what’s been a very long development cycle. In all of the discussions of AI with which I’m bombarded daily, I haven’t seen anyone talk about […]
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