73% of AI startups are building their castle in someone else's kingdom.
It's worse than that, someone else's models, someone else's smartphone operating systems, it's every conceivable disadvantage.
73% of AI startups are just prompt engineering
21–30 of 212 posts
Re: 73% of AI startups are just prompt engineering
#22It is beyond annoying that the article is totally generated by AI. I appreciate the author (hopefully) spending effort in trying to figure out the AI systems, but the obviously-LLM non-edited content makes me not trust the article.
Re: 73% of AI startups are just prompt engineering
#23Prompt is code.
Prompt is specification, not code.
Not to be too pedantic, but code is a kind of specification. I think making the blanket statement "Prompt is code" is inaccurate but there does exist a methodology of writing prompts as if they are specifications that can reliably converted to computational actions, and I believe we're heading toward that.
Re: 73% of AI startups are just prompt engineering
#24I'm surprised by the number of people who are running head first into AI wrapper start-ups.
Either you have a smash-and-grab strategy or you are awful at risk analysis.
Re: 73% of AI startups are just prompt engineering
#2573% of AI startups are building their castle in someone else's kingdom.
-1: there's lots of "kingdoms" (openai, anthropic, google, plus open source) - if one king comes for your castle, you can move in minutes.
True, even OpenAI built their castle in nVidia's kingdom. And nVidia built their castle in TSMC's kingdom. And TSMC built their castle in ASML's kingdom.
Re: 73% of AI startups are just prompt engineering
#26Prompt engineering isn't as simple as writing prompts in english. It's still engineering data flow, when data is relevant, systems that the AI can access and search, tools that the AI can use, etc.
Is it, though? Apparently the current best practice is just to allow the LLM untethered access to everything and try to control access by preventing prompt injection...
Re: 73% of AI startups are just prompt engineering
#27Prompt engineering and using an expensive general model in order to prove your market, and then putting in the resources to develop a smaller(cheaper) specialized model seems like a good idea?
Are people down to have a bunch of specialized models? The expectation set by OpenAI and everyone else has set is that you will have one model that can do everything for you. It’s like how we’ve seen basically all gadgets meld into the smart phone. People don’t have Garmin’s and beepers and clock radios anymore (or dedicated phones!). It’s all on the screen that fits in your pocket. Any would-be gadget is now just an…
Specialized models are cheaper. For a company you're looking for some task that needs to be done millions of times per day, and where general models can do it well enough that people will pay you more than the general model's API cost to do it. Once you've validated that people will pay you for your API wrapper you can train a specialized model to increase your profit and if necessary lower your pricing so people won't pay OpenAI directly.
Re: 73% of AI startups are just prompt engineering
#28Re: 73% of AI startups are just prompt engineering
#29Prompt engineering and using an expensive general model in order to prove your market, and then putting in the resources to develop a smaller(cheaper) specialized model seems like a good idea?
Are people down to have a bunch of specialized models? The expectation set by OpenAI and everyone else has set is that you will have one model that can do everything for you. It’s like how we’ve seen basically all gadgets meld into the smart phone. People don’t have Garmin’s and beepers and clock radios anymore (or dedicated phones!). It’s all on the screen that fits in your pocket. Any would-be gadget is now just an…
Happy with my Garmin :-)
Re: 73% of AI startups are just prompt engineering
#30Where is this guy sitting that he is able to collect all of this data? And why is he able to release it all in a blog post? (my company wouldn't allow me to collect and release customer data like this.)