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> Taking into account the downsides it looks like a hype bubble right now to me, and a draw in the long run. There’s just a whole lot of tech people trying to cash in on the hype.

Techies will realize that they are just giving ideas to O̶p̶e̶n̶AI.com, Microsoft Word, Google Docs and Notion. It is just the same AI bros re-selling their hallucinating snake oil chatbot that are under a new narrative for AI.

There is a reason why the only safe serious use-case of LLMs is summarization of existing text, since everything else it does is untrustworthy and is complete bullshit.

Their so-called 'revolution' is a grift.




English speakers tend to miss a huge use case: Translation.


I do wonder where LLM translator would take us to, considering that Japanese version of Bing Image Creator[0] is still proudly displaying a complete nonsense…

0: https://www.bing.com/create

    作成 *芸術* 開始日
    AI を使用した単語


DeepL.com? You dont need a general purpose LLM to do translation.


GPT-4 is a much better translator than Deepl especially for far apart languages.


A 'use-case' done worse with LLMs especially with reliability. Translation is already done without a hallucinating LLM and can be done offline.

Summarization of existing text is the *only* safe and serious use-case for LLMs.


How is summarization "safe"? The summary might be wrong just as well.

The use-case is anything where occasional bullshit output is an acceptable downside to speeding up. More reliable outputs will enable more use-cases.


And what is a business that is fine with occasional (or frequent) bullshit output? Fake-news and spam.


Every business is fine with some frequency of bullshit output at some level. The question is how often exactly it happens and how much harm the bullshit can cause.


My point was that spam is the perfect use case for this tech. Of course there are other possible use cases, but spam and fake news content creation are the perfect fit. AI will enable one to easily clone the writing style of any publication and insert whatever bullshit content and keep up with the publishing cycle with almost zero workforce.

Want a flat-earther version of New York Times (The New York Flat Times)? Done. Want a just slightly insidiously fascist version of NPR? Done. Want a pro-Nato version of RussiaToday (WestRussiaToday)? Done.

And we already know people share stuff without checking for veracity and reliability first.


Machine translation is already not reliable even without LLMs, so it's not weak point of LLM translation.


GPT-4 translates much better than anything else out there, esp. when it comes to idioms and manner of speech.


Notion going all-in on the "AI" stuff is annoying/concerning to me. Mostly just that I live and die by a personal Notion wiki to keep my life organized, and if they eventually tank their service by investing too many resources into features that don't take off and I have to find a new tool to offload my brain into, I'm gonna be pissed...


I went with Logseq and for the first time in a number of years (actually since OneNote 2016, the last self hosted version) I am actually happy with my tooling again.

It doesn't cover everything OneNote 2016 did, but it does a lot more in other areas and it is progressing nicely.


This looks great! Do they have a (decent) mobile app? Being able to jot stuff down whenever, wherever is a make-or-break feature for me...


The app is already usable, at least on iOS, but for now sync is a bit rough around the edges, i.e., I need to verify it is synced or it will overwrite and I have to fix it using the page history which thankfully exist.




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