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I'm curious how the Motte sees using AI for therapy / life advice? Online I'm seeing a ton of people recommend Claude especially, but others are skeptical.
On the one hand I could see it being useful because of the fact that you have nigh-unfettered access to it, and can really dig into deep problems. Also, it's trained on all the therapy texts of course.
The other, more culture war issue, is that due to the way RLHF works, they will likely be pushing one ideological lens over another. Especially about deep topics like morality, relationships, casual sex, etc.
Overall I think it's a fascinating area of development, and I'm still optimistic that LLMs could help people much more than the average therapist. Mainly because I'm pretty bearish on the help people get from the average therapist.
Anyway, what do people think about therapy becoming AI?
How do you ever use them for therapy? I tried to use chatgpt3.5 for roleplay, set up command for rewind which are too complex for it. If it misunderstood me, and i corrected it, it wss still in a "poisoned" state, and often it tended to forget at all that it supposed to do
I'll echo the responses below and say that 3.5 is... suboptimal, much better and nearly as accessible alternatives exist. Claude 3 is the undisputed king of roleplay and I've sung it enough praises at this point, but it is much less accessible than GPT, and to be fair 4o is not actually that bad although it may require a decent jailbreak for more borderline things.
Aside from that, RP-related usage is best done through API (I believe you can still generate a GPT API key in your OpenAI account settings, not sure how you
legitimatelyget a Claude API key) via specific frontends tailored for the task. This kills two birds at the same time - you get mostly rid of the invisible system prompts baked into the ChatGPT/claude.ai web interface, and chat frontends shove most of the prompt wrangling like jailbreaks, instructions and Claude prefills under the hood so you're only seeing the actual chat. Frontends also usually handle chat history more cleanly and visibly, showing you where the chat history cuts off in the current context limit. The context limit can be customized in settings (the frontend itself will cut off the chat accordingly) if you want to moderate your usage and avoid sending expensive full-context prompts during long chats, in my experience 25-30k tokens of context is the sweet spot, the model's long-term recall and general attention starts to slowly degrade beyond that.Agnai has a web interface and is generally simple to use, you can feed it an API key in the account settings. SillyTavern (the current industry standard, as it were) is a more flexible and capable locally-hosted frontend, supporting a wide range of both local and corpo LLMs, but it may be more complicated to set up. Both usually require custom instructions/prompts as the default ones are universally shit, unironically /g/ is a good place to find decent ones.
Beware the rabbit holeFeel free to shoot me a DM if you have any questions.Thanks! Unfortunately I'm too depressed to check it... do they still need jailbreak prompts and update jailbreak regularly?
Kind of, but it's not as big a hurdle as you imagine it to be, though you do have to at least loosely keep up with new (= more filtered) snapshot releases and general happenings. It also depends on the exact things you do, you probably don't need the big-dick 2k token stuff for general conversation, ever since I burned out on hardcore degeneracy I haven't really been updating my prompts and they still mostly work on the latest GPT snapshots when I'm not doing NSFW shit.
As for jailbreaks, this list is a good place to start. Most jailbreaks come in the form of "presets" that rigidly structure the prompt, basically surrounding the chat history with lots of instructions. The preset's .json can be imported into frontends like SillyTavern with relatively little hassle, the UI can be intimidating at first but wrangling prompts is not actually difficult, every block of the constructed prompt has its own content and its own spot in the overall massive prompt you send to the LLM. Example. The frontend structures the prompt (usually into an RP format) for you, and during chat you only need to write your actual queries/responses as the user, with the frontend+preset taking care of the rest and whipping the LLM to generate a response according to the instructions.
Unless you're just talking to the "bare" LLM itself, this approach usually needs a character card (basically a description of who you're talking to), I mentioned those in passing elsewhere.
To contextualize all this, I unfortunately have no better advice than to lurk /g/ chatbot threads, it's smooth sailing once you get going but there's not really a single accessible resource/tutorial to get all this set up (maybe it's for the better, security in obscurity etc).
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