I feel like chat with a pdf is the easiest thing to integrate into various niches -- fitness, nutrition, so many different options
Don't build AI products the way everyone else is doing it
91–100 of 261 posts
Re: Don't build AI products the way everyone else is doing it
#92Earlier quoted context omitted.
I think we'll find that, when the dust settles, AI's usefulness wasn't as impactful as we thought. AI is only as good as its data and no meaningful dataset is 100% representative and 100% accurate IMHO. Don't get me wrong-- it's neat and all, and it can be somewhat useful in the right context, but the hype is huge. Much bigger than Kubernetes ever saw and probably bigger than blockchain.
> data and no meaningful dataset is 100% representative and 100% accurate IMHO And? What point are you trying to make here?
That it will be inaccurate. A lot.
Re: Don't build AI products the way everyone else is doing it
#93Earlier quoted context omitted.
> data and no meaningful dataset is 100% representative and 100% accurate IMHO And? What point are you trying to make here?
People seem to think that LLMs are going to be this source of truth that everyone can rely on to give them the information they need. Which for certain use cases e.g. text based is fine because you can tolerate inaccuracies. But I have worked at highly regulated finance companies who aren't interested in LLMs at all. Because their business can't tolerate if your model returns a figure or calculation that is inaccurat…
Your point is still not clear
Re: Don't build AI products the way everyone else is doing it
#94> The solution: create your own toolchain No thanks. I have an actual job & customer needs to tend to. I am about 80% of the way through integrating with the OAI assistant API. The real secret is to already have a viable business that AI can subsequently improve . Making AI the business is a joke of a model to me. You'd have an easier time pitching javascript frameworks in our shop. Our current application of AI is a…
Did you read the article or are you responding to what you imagine it says? > a whole toolchain of specialized models, … all of these specialized models are combined with tons of just normal code and logic that creates the end result They are not referring to a toolchain as “write a compiler”. They are referring to it as “fine tune models with specific purposes and glue them together with normal code”. It’s a no-brai…
I don't really have much beef with your comment as it has pretty substantive points, but I just wanted to remind and let everybody know about a Hacker News guideline outlined on their guidelines under the comments section. Sorry, I just recently re-read the guidelines, so I thought I might point others to it too. I honestly believe there are a lot more people breaking all these guidelines on this site, so the whole thing is a good read for anyone uninformed, and yes there are definitely more egregious breakages of guidelines elsewhere.
> Please don't comment on whether someone read an article. "Did you even read the article? It mentions that" can be shortened to "The article mentions that". [1]
I just mainly brought this one up, because I see it come up often, and because I didn't even notice it was really a violation until I reread the guidelines the other day.
[1]: https://news.ycombinator.com/newsguidelines.html#comments
Re: Don't build AI products the way everyone else is doing it
#95People are overthinking this from a competitive perspective. Create something that isn't easy to replicate - there are several ways to do that, but it's the only rule required from a competitive perspective.
1000%. If your business case involves technical differentiation then build an AI stack. If your differentiation is something that can’t be replicated by someone else using OAI then you’re in the clear to use OAI. If your only differentiation is that you use OAI… well you’re hosed anyway.
Yeah, though it's also fine to start as a wrapper and iterate your way into differentiation. That's something people seem to often be missing when disparaging these wrapper products. Like yeah, perhaps the initial version of the business will be disrupted and they'll need to pivot, but if they got a million users in the meantime, they are a lot more likely to iterate toward PMF than someone starting from scratch.
Re: Don't build AI products the way everyone else is doing it
#96This post seems pretty focused on the How of building AI products, but personally I think that whether or not an "AI product" succeeds or fails mostly wont come down to differentiation / cost / speed / model customization, but rather whether it is genuinely useful.
Unfortunately, most products I've seen so far feel like solutions in search of problems. I personally think the path companies should be taking right now is to identify the most tedious and repetitive parts of using the product and looking for ways that can be reliably simplified with AI.
Re: Don't build AI products the way everyone else is doing it
#97This makes sense because the figma -> code conversion is very programmatic. For anything more semantic or more vague in approach, a heavier dependence on LLM's might be needed until the infrastructures mature.
Re: Don't build AI products the way everyone else is doing it
#98Earlier quoted context omitted.
Not doing so will produce same boring Chatgpt based bot, everyone have already seen and tired off. I mean, differention is quite important thing actually.
That's why you should spend your time building a great product rather than an also-ran model. While you're working on your model, your competitors are working on their products. In a few months when your model is made obsolete by the latest OpenAI release, your competitors will have a better product and a better model than you.
This is a persistent, but in fact a poorly justified opinion. First of all, according to linked article, they were able to make something much better and cheaper than Chatgpt (for their task obv.) in quite a short period of time. What stops them from making the same feat again? What makes you think, that the same boring bland OpenAI wrappers are going to take off at all, let alone survive till next OpenAI iteration? People are not stupid, they can see that the product you are offering is essentially a low-effort wrapper, they have already seen, why would they choose you product at all?
Re: Don't build AI products the way everyone else is doing it
#99> The solution: create your own toolchain No thanks. I have an actual job & customer needs to tend to. I am about 80% of the way through integrating with the OAI assistant API. The real secret is to already have a viable business that AI can subsequently improve . Making AI the business is a joke of a model to me. You'd have an easier time pitching javascript frameworks in our shop. Our current application of AI is a…
Just be prepared for OpenAI to pull the rug out from under you at some point... and probably sooner than you realize. This is always the approach in our industry. During the land rush, you offer very affordable, very favorable terms for people building on your stack. When they've wiped out most of the competition and have massive marketshare -- they shift from land-rush mode to rent-seeking mode, and your business is…
If you don’t own the API AND the customer, you don’t own anything: you rent.
Re: Don't build AI products the way everyone else is doing it
#100IMO the counter argument is to initially rely on commercial models and then make it an objective to swap them out.