I’m pretty down on AI. I view Large Language Models as a very expensive way to generate strings of words. Other things that were called AI when they were purely speculative (for example, chess-playing computers), quit being called AI once the thing actually existed.
I know there are other people who find AI useful as a way to minimize the amount of work they need to do, although again I’m very dubious—as soon as you let AI do something for you without double-checking everything it does, it’s going to screw up badly. (That is, you are going to to use an expensive, environmentally destructive, copyright-thieving tool to screw yourself up badly.)
It’s from that perspective that I can see this odd, narrow use of an LLM perhaps useful. (I actually got this idea from a fitness YouTuber, but he said he was going to delete his video, so I don’t see much value in linking to it.)
His suggestion was to use an LLM as a journaling tool. Each day, in the morning or in the evening, dictate a journal entry to an LLM. Do a kind of a brain dump of all the things that are worrying you or exciting you. List the things you need to do and the things you’re expecting other people to do. List your good ideas. List your long-term plans and your progress on your long-term plans. List your successes, your failures, your anxieties, interesting facts you came upon during the day, and so on. Then, once you’ve finished your brain dump, ask the LLM to organize those lists: Give me a list of things to do today. Give me a list of blind spots I haven’t been thinking of. Suggest a plan of action for addressing my issues. Tell me if there’s any easy way to solve multiple problems with a single action.
Now, I think it’s very unlikely that an LLM is going to come up with anything genuinely insightful in response to these prompts. But here’s the thing: Your journal isn’t going to either. The value of journaling is that you’re regularly thinking about this stuff, and you’re giving yourself a chance to deal with your stresses in a compartmented way that makes them less likely to spill over into areas of your life where they’re more likely to be harmful.
The things LLMs do—like generating summaries, making lists, expanding on ideas, suggesting alternatives—are really risky in any use case where getting it right matters. We all know the stories of people who used an LLM to write a legal brief, and the LLM hallucinated citations to cases, complete with footnotes, that were all lies. But I think in this case, none of those things matter much.
You aren’t required to have footnotes in your journal, or even to tell the truth. If you ask your LLM-supported journal to suggest blind spots that you’ve missed, and its suggestions are all either obvious or completely off-point, it costs you nothing but the 10 seconds you waste reading the list. If you say, “What are the top five things I need to get done today?” and it gives you a list that doesn’t include the very most important thing, you’re probably going to notice and get that thing done anyway.
Without having tried it, I can imagine that this might be a useful tool, or at least a harmless one. If all having the LLM in the background does is provide a bit of novelty that gets you started journaling again, even just that seems worthwhile.
One risk to keep in mind: If you’re telling an LLM things that are confidential—business secrets, personal secrets, other people’s secrets—you can’t have any confidence that the LLM isn’t going to feed all that info right into its training data and spit it out to some other LLM user. But pretty soon we’ll all be able to train up our own personal journaling LLM that doesn’t share its info with others, so I don’t think that’s a long-term problem.
Of course, I’m eliding the ethical problem of LLMs having been trained on stolen texts, but I don’t think that’s something the users are obliged to try to fix on their own. Rather, the creators of LLMs should be forced to turn their revenues over to the copyright holders of the people whose texts were stolen.
If you’ve been journaling with an LLM, I’d be interested to hear about it. And if you know of an adequately powered LLM that can be run on a personal computer without sharing any data off the machine, I’d be interested in hearing about that too.
