surely if they start to get worse we'd just use the models that already exist? didnt click the link though
this post was submitted on 17 May 2025
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It's not much different from how humanity learned things. Always verify your sources and re-execute experiments to verify their result.
Most LLMs seed their output so they can recognize whether something was created by them. I can see how there will be common standards for this and every LLM as it's in the best interest of every commercial LLM to know whether something is LLM output or not.
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Artificial intelligence isn’t synonymous with LLMs. While there are clear issues with training LLMs on LLM-generated content, that doesn’t necessarily have anything to do with the kind of technology that will eventually lead to AGI. If AI hallucinations are already often obvious to humans, they should be glaringly obvious to a true AGI - especially one that likely won’t even be based on an LLM architecture in the first place.
I'm not sure why this is being downvoted—you're absolutely right.
The current AI hype focuses almost entirely on LLMs, which are just one type of model and not well-suited for many of the tasks big tech is pushing them into. This rush has tarnished the broader concept of AI, driven more by financial hype than real capability. However, LLM limitations don’t apply to all AI.
Neural network models, for instance, don’t share the same flaws, and we’re still far from their full potential. LLMs have their place, but misusing them in a race for dominance is causing real harm.
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