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Comment by londons_explore | Hacker News Reader

I wonder how long till they open it up to your private data stored in Google? Eg.

User: What should I be doing today?

AI: You have a court appearance at 9am. Prioritize that, because failing to appear might result in an arrest warrant. Next, prioritize your mums birthday - all the other family will be there, and with your mums cancer results last week, this might be the last. If you travel between them by bus, then you can spend the time going through your teams messages that you should have replied to last week.

Me: What about the leaking faucet in my house?

AI: You don't have the time to fix it yourself, nor the money to pay a plumber to do it, so I suggest you leave it leaking for now. I watched the video - its leaking down the basin, so won't do damage, and the water cost is around 8 cents a day.

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User: What should I be doing today?

AI: You have a court appearance today, I have booked a route for you on google maps. Next buy a gift for your mum’s birthday, here are some recommendations sorted by ad spend spend. For your travel, I recommend these options, sorted by ad spend.

Me: What about the leaking faucet in my house?

AI: You don't have the time to fix it yourself, here is a list of contractors that can fix the leak, sorted by google ad spend.

Is that any different from trying to source it "on your own"?

Nah pry not, since search results are ranked by ads, same thing just in a chat based format.

I recall reading a very interesting short story about exactly this - handing over the entirety of your daily minutiae to AI and the moral consequences. I'm unable to find the name of it, maybe something by Ted Chiang?

Fun exercise for the reader: how much of this is actually possible with LLMs and how much is not.

Reading through all your private documents and extracting the useful information to answer an open ended question like this is still a little way off.

Specifically, LLM's can generally only take into account ~8000 words of context when deciding on a response. Summarizing the question and all necessary information for the answer into 8000 words is hard when the user might have millions of words in their inbox.

Having said that, I don't think it's far off. There are already prototypes of LLM's which have information retrieval abilities (ie. it could do a keyword search of your inbox to find a few relevant documents to read to decide on a response). There are also promising efforts to make that 8000 word number far larger.

> Fun exercise for the reader: how much of this is actually possible with LLMs and how much is not.

From what I understand about LLMs - not directly. But it may be possible to integrate LLMs with other services such that LLMs respond this way.

> Fun exercise for the reader: how much of this is actually possible with LLMs and how much is not.

I have no idea.

But it would be nice?* if this LLM stuff could be incorporated into the telephone system for my bank, pharmacy, etc.

It's obvious that these organizations don't want to connect me with a $killed human, so instead of having me interact with an infuriating "pretend" human, maybe CVS can fuse their phone system with ChatGPT to make the experience a little less maddening.

"Hey, I already gave you my birth date. No need to ask again. And I told you 30 seconds ago that I don't need to schedule a COVID vaccine. Just tell the pharmacist <xyz>."

* Be careful what you (I) wish for, I guess.

Yea this isn’t a huge reach.

At that point the line between commerce and giving the best advice is going to get REALLY messy.

Google could do this now. They already have your calendar and your contacts. Do you think that a conversational interface was what was holding them back? Thousands of engineers, but if only they could figure out how to merge Gmail and Eliza!

I'd imagine it'll be something they do. Hooking it into things you've told assistant, documents you've stored, emails, calendar events, map data, etc.

Pretty creepy and a tad dystopian but thats Google for you.

Isn't this what the Google assistant basically does?

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