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Launch HN: Second (YC W23) – AI bots that add features to web apps

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161–170 of 205 posts

Re: Launch HN: Second (YC W23) – AI bots that add features to web apps

#161

Man, what will be left for devs.

All the regular programmers like us, working a bit and living our lives, are on the block. People like this guy want to take bread off our tables so he can roll around in even more money, but he has a soul, so he has to rationalize it away. He insults us by saying the work we do is useless grunt work and hypes it up so the less perceptive of us get excited about it.

immortalloom, I think you genuinely believe in what you're doing. But drive through an old factory town and think about it for a bit.

Re: Launch HN: Second (YC W23) – AI bots that add features to web apps

#162
post #17

Agreed with the comments on the demo video music. It was startling. I'm pretty skeptical still as all your demo has shown is similar to what a boilerplate tool might do, but with more unknowns. You have to start somewhere, though, and I think you're on a decent path. I've been experimenting with chatgpt to do similar workflows to what you're describing for your vision of Second. From my experiments, it seems your dem…

Thanks! I'll get the next video audio fixed. Agreed! Have to start somewhere. As the Second bots get more sophisticated, I think they will pull away more and more from what you get today with traditional starter kits and boilerplates. Most strikingly, you can use Second with existing web applications! Can't do that with boilerplates. About agencies - yea some of my first customers are agencies, and the value prop is…

Jesus just crank it down by about 10 dB and re-upload the exact same video. The music while generic and relatively bland isn't so much an issue as is the fact that it's practically deafening.

Re: Launch HN: Second (YC W23) – AI bots that add features to web apps

#163

Earlier quoted context omitted.

> OpenAI has the GPT models, not Microsoft. Haha no. There is no future where OpenAI operates independently of Microsoft. OpenAI is functionally beholden to MS. 49% is a paper contrivance to present a facade that they're still in control. They're not. The tail is wagging the dog, and in this case the tail is a trillion dollar dragon that OpenAI lowered the drawbridge and invited inside.

Why do you say that?

The only way any MS decision is not going to go through is if all other shareholders are unanimously against it.

It seems like a stretch to say that would ever be true.

Re: Launch HN: Second (YC W23) – AI bots that add features to web apps

#165
post #91

Earlier quoted context omitted.

Why do you say that?

Because it is true. At this point, Microsoft has partially acquired OpenAI and is extending their exclusivity deals to use their offerings. But the only way to compete against them is with open source AI models that are good enough substitutes for OpenAI’s offerings. With Stable Diffusion being open sourced, it completely ruined monetising options for DALLE-2 and threatened OpenAI to the point where they rushed out C…

I've been looking around at open source offerings that can run on "affordable" hardware. Right now you can run something like GPT-J on 4 GTX 3090s, which will cost you anywhere between 6k and 8k not including the rest of the PC.

Once functional models get small enough, I think we'll see an absolute explosion in AI as anyone with a laptop will be able to freely tinker with their models.

Re: Launch HN: Second (YC W23) – AI bots that add features to web apps

#166

Fascinating, i personally can't see myself using for anything more than setting up a project though, maybe you can provide an examples page where you show how useful it is for existing large scale projects? also regarding the customers you've already onboarded, possibly worth it to make case study blogs?

Yes on both!

1) I will certainly work on setting up a show case or gallery of example sites 2) case study blogs are a great idea!

Re: Launch HN: Second (YC W23) – AI bots that add features to web apps

#167

I was going to test this out on an existing repo, but it wasn't clear from the outset that this is next.js only. I have a Create React App repo (with MUI) I'd try this on.

Yes today the bots assume you are connecting to a Next.js 13 app. Bad assumption I know! I am working to add repo a scanner (ChatGPT prompts!) to understand the general tech stack of a connected repo. This will be coming soon.

Re: Launch HN: Second (YC W23) – AI bots that add features to web apps

#169

Earlier quoted context omitted.

I think the software development process is fine, it's all the organizational cruft that slows it down. Your company is a good example of it--you probably didn't use Second to make Second, and being a solo dev had to have been a huge benefit to your velocity. The things that hurt software development are people/process related, and can't be fixed by software, IMO.

Funny enough, I did use second to build the authentication flows. But I've diverged a bit because I haven't had a chance to fully build out the other modules that Second will need. I'm planning on rebuilding Second with Second as soon as I have all of the appropriate modules in place!

Please write a blog post about that when you get a chance to do it!

Re: Launch HN: Second (YC W23) – AI bots that add features to web apps

#170
post #165
post #91

Earlier quoted context omitted.

Because it is true. At this point, Microsoft has partially acquired OpenAI and is extending their exclusivity deals to use their offerings. But the only way to compete against them is with open source AI models that are good enough substitutes for OpenAI’s offerings. With Stable Diffusion being open sourced, it completely ruined monetising options for DALLE-2 and threatened OpenAI to the point where they rushed out C…

I've been looking around at open source offerings that can run on "affordable" hardware. Right now you can run something like GPT-J on 4 GTX 3090s, which will cost you anywhere between 6k and 8k not including the rest of the PC. Once functional models get small enough, I think we'll see an absolute explosion in AI as anyone with a laptop will be able to freely tinker with their models.

You can run GPT-J on an M1 or Pi if you want, you'll just have to settle for a pruned model. No self-hosted options (besides maybe Facebook's leaked thing) can stand up to ChatGPT's consistency or size. I've also been playing with this and have had great results for non-interactive use on even the smallest models (125m params, ~2gb RAM). The problem as I see it won't be inference time/acceleration as much as it will be having enough memory to load the model, and settling for lower quality answers. ChatGPT is already pretty delusional, and pruning it doesn't make it any smarter. You can practically feel the missing connections in the quality of response.

So, big takeaway: AI text generation is legible and quick with smaller models, but "intelligence" a-la ChatGPT seems to scale directly with memory.

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