Only thing? Just off the top of my head: That the LLM doesn't learn incrementally from previous encounters. That we appear to have run out of training data. That we seem to have hit a scaling wall (reflected in the performance of GPT5). I predict we'll get a few research breakthroughs in the next few years that will make articles like this seem ridiculous.
Author here. You’re right in that it’s obviously not the only problem. But without solving this seems like no matter how good the models get it’ll never be enough. Or, yes, the biggest research breakthrough we need is reliable calibrated confidence. And that’ll allow existing models as they are to become spectacularly more useful.
Being “Confidently Wrong” is holding AI back
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Re: Being “Confidently Wrong” is holding AI back
#22Re: Being “Confidently Wrong” is holding AI back
#23Only thing? Just off the top of my head: That the LLM doesn't learn incrementally from previous encounters. That we appear to have run out of training data. That we seem to have hit a scaling wall (reflected in the performance of GPT5). I predict we'll get a few research breakthroughs in the next few years that will make articles like this seem ridiculous.
Re: Being “Confidently Wrong” is holding AI back
#24Only thing? Just off the top of my head: That the LLM doesn't learn incrementally from previous encounters. That we appear to have run out of training data. That we seem to have hit a scaling wall (reflected in the performance of GPT5). I predict we'll get a few research breakthroughs in the next few years that will make articles like this seem ridiculous.
Re: Being “Confidently Wrong” is holding AI back
#25Re: Being “Confidently Wrong” is holding AI back
#26Earlier quoted context omitted.
It is if the weights are sufficiently advanced.
The weights, so to speak, come from the knowledge base. That means you can't get away from the quality of the knowledge base. That isn't uniform across all domains of knowledge. Then the problem becomes how do you make the training material uniformly high-quality in every knowledge domain? At best it becomes the meta problem of determining the quality of knowledge in some way that makes an LLM able to calibrate confi…
Re: Being “Confidently Wrong” is holding AI back
#27Only thing? Just off the top of my head: That the LLM doesn't learn incrementally from previous encounters. That we appear to have run out of training data. That we seem to have hit a scaling wall (reflected in the performance of GPT5). I predict we'll get a few research breakthroughs in the next few years that will make articles like this seem ridiculous.
Re: Being “Confidently Wrong” is holding AI back
#28“LLMs don’t know what they don’t know” https://blog.scottlogic.com/2025/03/06/llms-dont-know-what-t...
But I wouldn’t say it is the only problem with this technology! Rather, it is a subtle issue that most users don’t understand
Re: Being “Confidently Wrong” is holding AI back
#29The big thing here is that they can’t even be confident. There is no there there. They are a, admittedly very useful, statistical model. Ascribing confidence to it is an anthropomorphizing mistake which is easy to make since we’re wired to trust text that feels human. They are at their most useful when it is cheaper to verify their output than it is to generate it yourself. That’s why code is rather ok; you can run i…
Re: Being “Confidently Wrong” is holding AI back
#30chatGPT (5) is not there especially in replacing my field and skills: graphic, web design and web development. The first 2 there it spits out solid creations per your prompt request yet can not edit it's creations just creates new ones lol. So it's just another tool in my arsenal not a replacement to me.
Such Makes me wonder how it generates the logos and website designs ... is it all just hocus pocus.. the Wizard of OZ?