What statistical method do you base that claim on? The results presented match expectations given that Markov chains are still the basis of inference. What magic juice is added to “reasoning models” that allow them to break free of the inherent boundaries of the statistical methods they are based on?
minoscopede@lemmy.world 5 weeks ago
I think you might not be using the vocabulary correctly. The statement “Markov chains are still the basis of inference” doesn’t make sense, because markov chains are a separate thing. You might be thinking of Markov decision processes, which is used in training RL agents, but that’s also unrelated because these models are not RL agents, they’re supervised learning agents. And even if they were RL agents, the MDP describes the training environment, not the model itself, so it’s not really used for inference.
I’d encourage you to research more about this space and learn more. We need more people who are skeptical of AI doing research in this field, and many of us in the research community would be more than happy to welcome you into it.
Tobberone@lemm.ee 5 weeks ago
Which method, then, is the inference built upon, if not the embeddings? And the question still stands, how does “AI” escape the inherent limits of statistical inference?