5 ms·

> why are the examples given of futuristic capabilities always so visionless - it's always booking a flight or scheduling a meeting. This AI wave is filled wit

by mjr00 7mo ago

> why are the examples given of futuristic capabilities always so visionless - it's always booking a flight or scheduling a meeting. This AI wave is filled with "ideas guys/gals" who thought they had an amazing awesome idea and if only they knew how to program they could make a best-selling billion dollar idea, being confronted with the reality that their ideas are really uninteresting as well. They're still happy to write blog posts about how their bleeding-edge Claw setup sends them a push notification whenever someone comments on one of their LinkedIn posts, though.

stbtrax 7mo ago
the whole obsequious nature of how LLMs also amp them up thinking they're onto something incredible is throwing gas on this dumpster fire. "What a great idea! This will revolutionize linkedin commenting. Let's implement it together."
- johnisgood 7mo ago
  Oh for sure. When I present something to the LLM it always tells me how great it is until I make it "question" it, then it says it was overestimating this or that. Eh. Quite annoying.
  - Jimmc414 7mo ago
    https://www.reddit.com/r/ChatGPT/s/qfBsFB2IzU https://www.reddit.com/r/ChatGPT/s/qfBsFB2IzU
    - deleted 7mo ago
      [deleted]
  - salawat 7mo ago
    You have to remember that LLM's don't have any persistent capacity to hold a "judgement". You ask for something, it provides an attempt at a completion for it. No fact checking, no reasoning, just a plausible looking output, tuned to hopefully get you to repeat the interaction. Half the reason the dominant UX is a "Chat" is that's the only way to provide a facsimile of memory or persistence across requests. Append the last few turns, press go. Over time you can develop an eye for the model's tics/attractor topics. Remember that they bill by token use, and suddenly, the entire UX/architecture starts making sense.
- gck1 7mo ago
  Anthropic tried to fix this I think. Because it's the only model that will push back, but it's even funnier. Ask a question, it will say yes, ask "are you sure?", it will reverse direction full throttle, then ask are you sure again and it'll go back to initial response saying "yeah I confused myself there". You can do this until context window exhaustion and this will never stop. On the other side of this, Gemini will stand by whatever it generated the first time, no matter how much you push back and no matter how stupid the idea is.
brightball 7mo ago
Wait til you see my todo app though…
- cassepipe 7mo ago
  Can it suggest me to do the things I should do ? Can it talk to me into overcoming what's blocking me from completing tasks at an emotional level ? :)
  - tacticus 7mo ago
    nope. It won't even help you understand that the 20 second task you've been putting off for 6 months causing anxiety will only take 20 seconds (nor will we learn from this)
    - rigrassm 7mo ago
      Or the fact that in the time it took me to read this thread I could have finished that task. Sometimes I really want to punch my brain in its stupid face lol.
  - ethbr1 7mo ago
    Obligatorily appropriate https://m.youtube.com/watch?v=TbwlC2B-BIg&t=45s https://m.youtube.com/watch?v=TbwlC2B-BIg&t=45s
_dain_ 7mo ago
Yeah it seems like we're still in the "XYZ ... but on a computer!" stage of AI.
FpUser 7mo ago
I have "new genius" ideas very often. After doing quick search I discover that any idea worth thinking of implementation is either implemented already or what seems to be low barrier to entry clashes with some legal obstacles.
- mmarian 7mo ago
  Story of my life.
- volkercraig 7mo ago
  Interestingly that sort of research is actually what I've used Claude/Chatgpt deep research and openclaw for. If I have an idea, I get an agent to go and do some product research for me and see if there is a market, if anyone has tried it, and if there is anyone doing it. It has unironically saved me a lot of time I would have otherwise spent going down rabbit holes. Of the models I've found that claude doesn't gas you up as much as GPT, so for stuff like this where the answer can be "no, that's not a good idea" I usually use claude.
  - FpUser 7mo ago
    Sure I do use AI to to do research on my ideas as well
  - bazmattaz 7mo ago
    I find ChatGPT so infuriating the way it always agrees with everything you say. The product is optimised for engagement so it wants its users to be delighted
  - gck1 7mo ago
    Yup. I do have a 4-step process for this (just for prompts and some bash scripts that call CC). 1. Breadth first 2. Compress 3. Per player deep research 4. Per player compression. Then I just merge all the markdown files, fit it into 250k tokens, load any model that supports that much and you can pretty much "tall to market". The biggest limitation here is data access though. A lot of market data is gated behind registration or anti-bot captchas, so the project that my CC is working on now is a playwright clone that is not easily detectable + can be used with CLI same as playwright itself.

by mjr00 7mo ago

stbtrax 7mo ago

the whole obsequious nature of how LLMs also amp them up thinking they're onto something incredible is throwing gas on this dumpster fire. "What a great idea! This will revolutionize linkedin commenting. Let's implement it together."

johnisgood 7mo ago
Oh for sure. When I present something to the LLM it always tells me how great it is until I make it "question" it, then it says it was overestimating this or that. Eh. Quite annoying.
- Jimmc414 7mo ago
  https://www.reddit.com/r/ChatGPT/s/qfBsFB2IzU https://www.reddit.com/r/ChatGPT/s/qfBsFB2IzU
  - deleted 7mo ago
    [deleted]
- salawat 7mo ago
  You have to remember that LLM's don't have any persistent capacity to hold a "judgement". You ask for something, it provides an attempt at a completion for it. No fact checking, no reasoning, just a plausible looking output, tuned to hopefully get you to repeat the interaction. Half the reason the dominant UX is a "Chat" is that's the only way to provide a facsimile of memory or persistence across requests. Append the last few turns, press go. Over time you can develop an eye for the model's tics/attractor topics. Remember that they bill by token use, and suddenly, the entire UX/architecture starts making sense.
gck1 7mo ago
Anthropic tried to fix this I think. Because it's the only model that will push back, but it's even funnier. Ask a question, it will say yes, ask "are you sure?", it will reverse direction full throttle, then ask are you sure again and it'll go back to initial response saying "yeah I confused myself there". You can do this until context window exhaustion and this will never stop. On the other side of this, Gemini will stand by whatever it generated the first time, no matter how much you push back and no matter how stupid the idea is.

brightball 7mo ago

Wait til you see my todo app though…

cassepipe 7mo ago
Can it suggest me to do the things I should do ? Can it talk to me into overcoming what's blocking me from completing tasks at an emotional level ? :)
- tacticus 7mo ago
  nope. It won't even help you understand that the 20 second task you've been putting off for 6 months causing anxiety will only take 20 seconds (nor will we learn from this)
  - rigrassm 7mo ago
    Or the fact that in the time it took me to read this thread I could have finished that task. Sometimes I really want to punch my brain in its stupid face lol.
- ethbr1 7mo ago
  Obligatorily appropriate https://m.youtube.com/watch?v=TbwlC2B-BIg&t=45s https://m.youtube.com/watch?v=TbwlC2B-BIg&t=45s

_dain_ 7mo ago

Yeah it seems like we're still in the "XYZ ... but on a computer!" stage of AI.

FpUser 7mo ago

I have "new genius" ideas very often. After doing quick search I discover that any idea worth thinking of implementation is either implemented already or what seems to be low barrier to entry clashes with some legal obstacles.

mmarian 7mo ago
Story of my life.
volkercraig 7mo ago
Interestingly that sort of research is actually what I've used Claude/Chatgpt deep research and openclaw for. If I have an idea, I get an agent to go and do some product research for me and see if there is a market, if anyone has tried it, and if there is anyone doing it. It has unironically saved me a lot of time I would have otherwise spent going down rabbit holes. Of the models I've found that claude doesn't gas you up as much as GPT, so for stuff like this where the answer can be "no, that's not a good idea" I usually use claude.
- FpUser 7mo ago
  Sure I do use AI to to do research on my ideas as well
- bazmattaz 7mo ago
  I find ChatGPT so infuriating the way it always agrees with everything you say. The product is optimised for engagement so it wants its users to be delighted
- gck1 7mo ago
  Yup. I do have a 4-step process for this (just for prompts and some bash scripts that call CC). 1. Breadth first 2. Compress 3. Per player deep research 4. Per player compression. Then I just merge all the markdown files, fit it into 250k tokens, load any model that supports that much and you can pretty much "tall to market". The biggest limitation here is data access though. A lot of market data is gated behind registration or anti-bot captchas, so the project that my CC is working on now is a playwright clone that is not easily detectable + can be used with CLI same as playwright itself.