Half of the deleted […] things are chatGPT mentioning its 2021 knowledge cutoff and suggesting double-checking that info. It was mentioned in this case as well.

If it were an autoGPT with internet access, I think these would prompt an automated online lookup to fact-check it.

So I tried it on this BBC article (a current top story), and this /r/Hearthstone post. It did pretty well. I won't copy-paste the whole reply, but here are some excerpts:

The post you've shared describes a series of recent climate records related to temperature, ocean heat, and Antarctic sea ice, and their concerning implications. [...] The trustworthiness of this information depends on the credibility of the sources cited and the accuracy of the climate records mentioned. Given that these are attributed to credible individuals and institutions like the UN, they likely hold a high degree of trustworthiness. [...] A pattern of increasing intensity and frequency of extreme weather events is consistent with what scientists expect from climate change. [...] However, for a comprehensive analysis, it would be prudent to cross-check this information with authoritative climate research bodies, like the Intergovernmental Panel on Climate Change (IPCC), National Aeronautics and Space Administration (NASA), or National Oceanic and Atmospheric Administration (NOAA).

The post you've shared appears to be an announcement about an upcoming expansion for Hearthstone. [...] The new expansion, named "Legendary Titans and Keepers," seems to introduce some new gameplay elements, including the "Titan" keyword and "Forge" keyword. Assessing the trustworthiness of this information can be tricky without an official source. Ideally, the announcement should be verified on Blizzard Entertainment's official website or through their official social media channels. The details mentioned, such as the gameplay mechanics for the new Titan and Keeper cards, as well as the new Forge keyword, are specific and elaborate, which might lend some credibility to the post. [...] If this information came from an official announcement from Blizzard Entertainment or a reliable insider, it would be newsworthy content for audiences interested in Hearthstone or gaming in general.

So it guessed correctly in both cases and suggested where to fact-check the info to be sure.

Did you intend to paste or attach something? Your comment doesn't show anything on kbin besides that one sentence.

I mean, chatGPT with its knowledge cutoff and no internet connection figured it out. See my comment below, I asked it and posted its response.

The guys who run that news website just didn’t include any checks in their algorithm. It doesn’t seem like an LLM problem at this point. A properly set up AutoGPT with an ability to look stuff up online would have no problem sorting though and fact-checking posts to decide which ones to use for an article.

It would need to be told to do so, of course. I can think of a couple of approaches. You could have it use a database to track the identities of information sources, so the AI would know whether it was coming from new or well-established sources. It could check to see if the news is appearing in other sources. A lot of this isn't strictly large-language-model-based capability, but it would be using LLMs to interpret its inputs.

The kinds of AIs that we have today can't really conceptualize a world outside the texts they process

The LLMs we have today process "tokens", which can represent anything. That they happen to look "more intelligent" to humans when used as "text goes in, text comes out", is a purely human bias, not a limitation of the AI.

Don't be mistaken, LLMs can process, conceptualize, and output, anything that can be represented with a token, including the initial, intermediary, or final states of other AIs, for which even humans lack a token/word. That's how multimodal AIs with plugins work right now.

Using text (with or without emojis) as an external input/output system, is just a way to interact with humans, other AIs designed to input/output text, and to feedback (reflect) on themselves.