41–50 of 149 posts
I’m worried about the switch in business model here, which is part of the reason I just switched to LM Studio from Ollama. > use the largest frontier open source models through LM Studio Secure Cloud
A friendly reminder that both LM Studio app and now this new LM Studio Bionic app are closed source. Since most people are unaware of this fact.
I am not sure I get this. It seems on first glance like just another harness ...
A friendly reminder that both LM Studio app and now this new LM Studio Bionic app are closed source. Since most people are unaware of this fact.
I would obviously prefer an open source, open weights stack.
But I guess a paradox is that as long as there are open source options I could use, a solid agentic environment that I can use with my own open weights is something I might pay for, in a similar sort of way to paying for a Mac when I could use only Linux.
If someone wanted to make their entire income from, say, making the BBEdit of LLM harnesses, that would be a viable strategy. Sooner or later people need to make an income somewhere. My own feeling is that Apple should acquire LM Studio, but if they said "this is $X per year" I might consider it, given the attention to detail.
Earlier quoted context omitted.
Built to work with lmstudio, one of the leading easy to use local model servers. LMStudio is the closest to plug-and-play without sacrificing play that I've seen; a harness that works well with it is nothing to sniff at. Its not earth shattering either.
Wouldn't most opensource harnesses work with lmstudio? I assume it has an "openai" style chat API like every other model provider? What's special about it vs langchain deep agents or pi or pydantic-ai?
Earlier quoted context omitted.
Built to work with lmstudio, one of the leading easy to use local model servers. LMStudio is the closest to plug-and-play without sacrificing play that I've seen; a harness that works well with it is nothing to sniff at. Its not earth shattering either.
I guess it lives or dies by the harness quality then - on open models run locally by plug and players and models that fit onto peoples laptops - that is going to be quite the handicap to overcome. I run lmstudio personally with a range of harnesses (open and closed) and can't say there is that much of a leap to getting everything talking https://lmstudio.ai/docs/integrations
To me this looks like another case of bundling things that shouldn’t be bundled (the harness with the UI) making both worse off because you can’t individually focus on each component. They’ve done this before, bundling a decent UI with decent inference for IMO no good reason, combining the downsides of each instead of letting people mix+match.
I’m worried about the switch in business model here, which is part of the reason I just switched to LM Studio from Ollama. > use the largest frontier open source models through LM Studio Secure Cloud
Use Unsloth Studio, it's actually open source and I trust Unsloth via their quantized models a lot more than LM Studio.
This kind of thing just makes me think Apple will get to a point where they have good enough local models and good enough harnesses for doing things, and most normal people will just use them… Does the LLM become another interface to computing?
It says no data retention or training on your data, but I assume that doesn't hold true for the frontier cloud models you connect to?
(I’m the founder of LM Studio)