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Comment by goolz | Hacker News Reader

Completely agree. Once I can reliably get open models doing what I am on Fable ultra I imagine I will switch for good. I am fortunate to have access to a decent bit of local RAM, 192GB of DDR5 at an OK speed. It is not enough and costs are well past absurd. In a few years time I envisage a setup that is sub $10k which can accomplish such tasks. The pace so far has been breakneck. That is all I personally need. That may change, but until true AGI I do think there will be a ceiling to how much I will pay for something frontier if it is only marginally better.

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This is easier to say as Fable is good (even SOTA). But people have been were saying this continuously for the current model and for now the improvement are still coming.

A better question is would you settle for o3 now or pay 20$ or 200$/month for fable ? Because o3 quality is available OSS.

It is like the new IPhone, in some sort. At some point come a feature many would like to have, despite diminishing returns.

We will see how long labs can keep up and what the scaling curve look like, but I would be more worried into losing sota status to Chinese companies than letting them take the open non-sota approach.

I think there is also the case were companies will simply use different tiers for different tasks.

While the engineering team might need a cutting edge model (with the associated costs), the marketing department will be fine by something that can grammar correct or turn a few bullet points into prose. Likewise you already don't need Fable for Ticket -> RAG -> Reply with Faq knowledge or escalate workflows

That's already the case with other very expensive software like CAD packages were oftentimes you have different feature sets enabled for different employees.

"that can grammar correct" ... Did you do that on purpose?

I'll sneakily claim I did but the reality is English as a second language and I'm not yet ready to let a LLM do all the fun for me.

IMO we are there almost. I had every iphone until 14 pro and still use this today. I know what the top of the s curve feels like. From a pure model standpoint weighed against every day use cases for every day people (the right way to measure when comparing to something as ubiquitous as a phone), the models already have diminishing returns.

There is a lot of room for improvement still.

Fable or GPT 5.6 Sol regularly hand off obviously broken features in my mobile app.

QA is the bottleneck.

If vision capabilities and understanding of motion improve significantly, perhaps the models can tell that a list is not scrolling correctly, or a transition not animating as it should.

damn! how muhc you dropped for 192gb?

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