4 ms·

I suspect many think GPT-4 wrappers can just count on LLMs to become basic infrastructure like databases or anything else, and count on differentiating based on

I suspect many think GPT-4 wrappers can just count on LLMs to become basic infrastructure like databases or anything else, and count on differentiating based on how they store/manage prompts to solve specific problems. Maybe they need to build some small models or machinery on top of the LLM outputs to make them truly useful, and maybe building those things isn't that easy to copy because they require domain-specific expertise (in this case law knowledge).

runnerup 3y ago
Yeah basically use GPT-4 for now to make something useful and make customers happy, then eventually switch out to lower-cost LLM's as open-source options become available.
- ignoramous 3y ago
  Sounds like OpenAi needs a moat.
- dopeboy 3y ago
  I think this is the big bet a lot of startups are taking. Aggregate demand quickly with GPT4 and then migrate off to another LLM. The assumption here is those other LLMs can be specialized to perform better than a general purpose one. A pattern I see across all of these plays is some kind of unfair advantage with distribution. Jasper, from what I know, was started by founders ran a content company and had a pre-existing set of customers. Looks like atleast one of the founders of Harvey knows the legal world and secured some pilots that way.
  - runnerup 3y ago
    > unfair advantage heh. That's a bit of a strange wording, but yes. Domain-specific knowledge and connections are obviously a big advantage. I know it's frustrating when you're looking at "but how do I make money from this?" To any young students out there...perhaps the answer is to double-major in CS + $BIG_INDUSTRY at a top-10 school and get really high grades and work high-caliber, high-connection jobs in $BIG_INDUSTRY and then start a software company that leverages your experience and connections.
    - dopeboy 3y ago
      I'm on the fundraising circuit right now, hence my use of that wording. Domain specific knowledge + connections is better put.

runnerup 3y ago

Yeah basically use GPT-4 for now to make something useful and make customers happy, then eventually switch out to lower-cost LLM's as open-source options become available.

ignoramous 3y ago
Sounds like OpenAi needs a moat.
dopeboy 3y ago
I think this is the big bet a lot of startups are taking. Aggregate demand quickly with GPT4 and then migrate off to another LLM. The assumption here is those other LLMs can be specialized to perform better than a general purpose one. A pattern I see across all of these plays is some kind of unfair advantage with distribution. Jasper, from what I know, was started by founders ran a content company and had a pre-existing set of customers. Looks like atleast one of the founders of Harvey knows the legal world and secured some pilots that way.
- runnerup 3y ago
  > unfair advantage heh. That's a bit of a strange wording, but yes. Domain-specific knowledge and connections are obviously a big advantage. I know it's frustrating when you're looking at "but how do I make money from this?" To any young students out there...perhaps the answer is to double-major in CS + $BIG_INDUSTRY at a top-10 school and get really high grades and work high-caliber, high-connection jobs in $BIG_INDUSTRY and then start a software company that leverages your experience and connections.
  - dopeboy 3y ago
    I'm on the fundraising circuit right now, hence my use of that wording. Domain specific knowledge + connections is better put.