justanotherunit

Huh, fascinating. Been working on this same architecture on a personal project, and tbh it’s really powerful. This and much else shows that everyone is kinda working on the same thing, just from different locations.

I have not yet seen an alternative for Wordpress + woocommerce for a simple e-commerce site that is not more expensive. I am open for alternatives tho if anyone knows any

Hey! Nice work, been looking into having a conversational modal integrated with my dev workflow.

Are we seeing any conversational layer integrated with codex soon?

Are clients really paying for it? It’s really fascinating actually. Is it because the ”client” built it so they have sentimental value and sold it to themselves before you receive the request?

I don’t understand, why is this not a SHOW HN?

Love it. Are there any benchmarks available on how fast this is from file change, kernel event received, event dispatched? I would expect it to be really quick.

Is it not just to train a model on your voice recordings and just use that to generate audio clips from text?

Was thinking about the bot. I stared your repo and will be checking it out later!

Fascinating, thanks for responding. If k may ask, what is your monthly (or any other interval) token usage? And are you finding a pi to be a bottleneck in regards of any performance?

Interesting, would you mind sharing your architectural setup? How does your index communicate to your agent server, what is the main agent framework/engine used?

Sounds like a cool concept to speak into your watch/wearable which automatically saves or performs tasks on the fly.

What is the general execution time from:

Prompt received -> final task executed?

So how would you go and explain how an output of tokens can call a function, or even generate an image since that requires a whole different kind of compute? It’s still a layer between the model which acts as a parser to enable these capabilities.

Maybe “business” is a bad term for it, but the actual output of the model still needs to be interpreted.

Maybe I am way out of line here since this is not my field, and I am doing my best to understand these layers. But in your terms you are maybe speaking of the model as an application?

Is it the models tho? With every release (mutlimodal etc) its just a well crafted layer of business logic between the user and the LLM. Sometimes I feel like we lose track of what the LLM does, and what the API before it does.

This is great! I’ve been diving deep into local models that can run on this kind of hardware. Been building this exact same thing, but for complete recordings of meetings and such because, why not? I can even run a low-end model with ollama to refine and summaries the transcription. Even combining with smaller embedding models for a modern, semantic search. It has surprised me how well this works, and how fast it actually is locally.

Hopefully we will see even more locally run AI models in the future with a complete package.

I’ve used h3 for a game. Since they align with an unique hex, I can ensure that one cell grid aligns and is placed on the same place in the world, where players could then compete on.