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It increasingly feels to me like building any kind of general-use AI tool or app is a bad choice. I see two viable AI business models: 1. Domain-specific AI -

It increasingly feels to me like building any kind of general-use AI tool or app is a bad choice. I see two viable AI business models: 1. Domain-specific AI - Training an AI model on highly technical and specific topics that general-purpose AI models don't excel at. 2. Integration - If you're going to build on an existing AI model, don't focus on adding more capabilities. Instead, focus on integrating it into companies' and users' existing workflows. Use it to automate internal processes and connect systems in ways that weren't previously possible. This adds a lot of value and isn't something that companies developing AI models are liable to do themselves. The two will often go hand-in-hand.

Renaud 3y ago
> building any kind of general-use AI tool or app is a bad choice Maybe not if you rely on models that can be ran locally. OpenAI is big now, and will probably stay big, but with hardware acceleration, AI-anything will become ubiquitous and OpenAI won’t be able to control a domain that’s probably going to be as wide as what computing is already today. The shape of what’s coming is hard to imagine now. I feel like the kid I was when I got my first 8-bit computer in the eighties: I knew it was going to change the world, but I had little idea how far, wide and fast it would be.
- moneywoes 3y ago
  r.e. local models, are you thinking about privacy oriented use cases say hippa? any pertinent examples?
- idopmstuff 3y ago
  There are plenty of OS models being released - there's going to be a steadily increasing quantity + quality of models you can run locally. I don't think it's a good place to compete.
moneywoes 3y ago
> Instead, focus on integrating it into companies' and users' existing workflows. Use it to automate internal processes and connect systems in ways that weren't previously possible why wouldn’t a company do that themselves e.g. how inter come has vertically integrated AI? any examples?
- idopmstuff 3y ago
  It's classic build vs. buy. Companies tend to build their own products and use third party software for internal tools. Just look at Salesforce AppExchange - it's a marketplace of software built on top of Salesforce, a large chunk of which serves to integrate other systems with Salesforce. LLMs open up the ability to build new types of integrations and to provide a much friendlier UI to non-developers who need to work on integrating things or dealing with data that exists in different places.
whimsicalism 3y ago
> 1. Domain-specific AI - Training an AI model on highly technical and specific topics that general-purpose AI models don't excel at. You will be eaten if you do this imo.
toomuchtodo 3y ago
If you focus on integration, you're up against autogpt, gorilla, etc.
- idopmstuff 3y ago
  AutoGPT isn't remotely usable for practical enterprise software purposes right now.
  - toomuchtodo 3y ago
    Agreed, not yet. It will get there.

Renaud 3y ago

> building any kind of general-use AI tool or app is a bad choice Maybe not if you rely on models that can be ran locally. OpenAI is big now, and will probably stay big, but with hardware acceleration, AI-anything will become ubiquitous and OpenAI won’t be able to control a domain that’s probably going to be as wide as what computing is already today. The shape of what’s coming is hard to imagine now. I feel like the kid I was when I got my first 8-bit computer in the eighties: I knew it was going to change the world, but I had little idea how far, wide and fast it would be.

moneywoes 3y ago
r.e. local models, are you thinking about privacy oriented use cases say hippa? any pertinent examples?
idopmstuff 3y ago
There are plenty of OS models being released - there's going to be a steadily increasing quantity + quality of models you can run locally. I don't think it's a good place to compete.

moneywoes 3y ago

> Instead, focus on integrating it into companies' and users' existing workflows. Use it to automate internal processes and connect systems in ways that weren't previously possible why wouldn’t a company do that themselves e.g. how inter come has vertically integrated AI? any examples?

idopmstuff 3y ago
It's classic build vs. buy. Companies tend to build their own products and use third party software for internal tools. Just look at Salesforce AppExchange - it's a marketplace of software built on top of Salesforce, a large chunk of which serves to integrate other systems with Salesforce. LLMs open up the ability to build new types of integrations and to provide a much friendlier UI to non-developers who need to work on integrating things or dealing with data that exists in different places.

whimsicalism 3y ago

> 1. Domain-specific AI - Training an AI model on highly technical and specific topics that general-purpose AI models don't excel at. You will be eaten if you do this imo.

toomuchtodo 3y ago

If you focus on integration, you're up against autogpt, gorilla, etc.

idopmstuff 3y ago
AutoGPT isn't remotely usable for practical enterprise software purposes right now.
- toomuchtodo 3y ago
  Agreed, not yet. It will get there.