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gmarkwa

Re:Ultra Fast LLM's Are Interesting (Mercury 2.5 Preview Release) on Wednesday September 02, 2026 @11:31AM (#49537814)
I see almost no discussion about the use cases for extremely fast diffusion models like Mercury which can apparently reach 1,000+ tps throughput, at an intelligence level around 32 on the Artificial Analysis Intelligence Index (according to Inception's webpage). Obviously this is a dumb model, but that level intelligence is close to Luna at Low effort level, which is good enough for basic tasks. I think these fast models open up a world of possibilities, especially as they get faster. I imagine workflows where, instead of taking time to write a prompt, I can rapidly iterate on the output by clicking through options. I'm wondering if anybody else is thinking about these possibilities?
Re:Is "An agent with tools" the only valid LLM application? on Saturday August 29, 2026 @10:09AM (#49490025)
Yeah maybe I'm conflating an "agent with tools" with a chat feature. Just because I'm using an agent with tools doesn't mean I need to chat with it, I could just click a button and have it do things, in the same way that I click a button and a driver with tools goes and gets my food.
Re:Is "An agent with tools" the only valid LLM application? on Saturday August 29, 2026 @10:04AM (#49490000)
Could you give me an example? Like a real example of an LLM based application with no chat? Now that I think of it something like Tavily comes to mind as an example.

Is "An agent with tools" the only valid LLM application?

Brex's CEO said this and I understand where he comes from, but is there a place for end to end workflows in LLM based applications? At the end of the day I agree that cutting edge software should be fully usable by agents, but I can't decide if every product should be an agent. I personally hate the UX of most agentic applications. I have this fantasy of future products where I can simply enter...

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I mean they can be deterministic, thinking machines lab made deterministic LLM's: https://thinkingmachines.ai/blog/defeating-nondeterminism-in....

Although obviously I'd rather they stay non-deterministic