Justin R. Lester argues that large language models are advanced autocomplete systems, not steps toward artificial general intelligence. LLMs often hallucinate because they predict the next word, not because they understand truth. Confidence in their outputs comes from formatting, not accuracy.
Chapters
Are you tired of hearing about the doomsday stuff when it comes to AI? Like ChatGPT is just pre-AGI and all this type of stuff now. What if I told you this? They're all wrong. LLM is nothing but autocomplete on steroids. It predicts the next word. A small language model is what companies are using internally, using open source as a way to simply search the stuff they have inside. The issue is definitions. If you don't know the definitions with AI, you then are going around talking doomsday and it's not really doomsday. Here's why people can sound confident even when it's wrong. Confidence is not truth. It's just a bunch of formatting. And the same thing we see with AI, which is why some of your sources are wrong when it hallucinates. So next time somebody tells you AI is God now, you tell them it's just a super autocomplete because you follow that tech pastor and that tech pastor's giving you the truth and the business for your business. Like and follow for more.