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The funny thing about Fable, is we all but know it will be obsolete in a month or two. Between their embargo shenanigans (which IMO they could have avoided just by not pretending it was dangerous) and continuing to give access, whatever marginal advantage it had was essentially wasted.

It would have been an interesting experiment to charge more for it right away and see what the market would bear, rather than tease it for long enough for it to be presumably superseded any time now by whatever is next.

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I don't see how that matters? It's a treadmill. Sure Fable-v1 will be obsolete but the shiny new Fable-v2 won't. Don't view their shenanigans as regarding Fable but rather their current cutting edge model.
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They clearly didn't have the compute capacity ready to release Fable at any price that would have seemed "worth it".
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>5.6 Sol, competitive with Fable (or close enough), and it's available via subscription (even the $20 subscription!)

It's not comparable because OpenAI caps thinking to High in the ChatGPT "Chat" interface (and the "Work" thing where it actually does let us use Extra or Max is fucking shit).

GPT 5.6 Sol (High) is almost certainly worse than Opus 4.8 (Extra), and nowhere close to Fable (Extra).

I literally got a refund for my $20 OpenAI subscription after playing around with 5.6 Sol for a couple of hours (yes even on Codex) because it's so unusable and I'd rather just use Fable today and 4.8 Extra starting tomorrow, still within my $20 Anthropic plan. And I'm not even poor, I was just angry at how bad it is.

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Yeah, I've started reaching for local models more. I'll use frontier models at the current cost for tasks that the local ones aren't great at, but when the rug pull inevitably comes, to me they're not worth 1000-2000 a month. And honestly, for my purposes I don't really need models to advance a lot. Like, I tried fable a couple of times and there just wasn't much there to justify its use to me. Opus did the same thing much cheaper.

I think an interesting question is going to be, if models are a commodity, who is going to want to foot the very expensive bill to train them? I'm sure training cost will drop.. eventually, but I doubt it will happen fast enough for any of these companies.

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> But, at token rates, 10x or 100x the cost of open models or what I was spending on the frontier models a month ago

And we can't ignore the power of "good enough". GLM5.2 may not be as good as the SOTA models, but it can be good enough for most, of not all, of our needs.

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In 5-10 years an Apple Watch will run a Fable level model locally. I don’t think we (hackers) should worry too much about token cost inflation. The current wave of providers, that’s another story.
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Just to clarify your implication: Fable subscription usage was just (re)extended to July 19
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If they haven't relaxed the classifier this makes little to no difference as the model is essentially unusable no matter the token quotas.
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And now their comment is good next week! The rug pull getting extended doesn't mean it won't come.
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> It’s not that AI won’t create that much value, it’s that they won’t capture it.

Think airlines - both passenger and freight. They have never come close to capturing all the economic value they enable.

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And airline stocks are typically a bad investment and Delta has been called a bank that operates an airline due the the amount of their revenue that comes from credit card fees.
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Frontier labs will figure out all sorts of ways to wiggle into the value chain beyond being commodities.
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When do you reckon they'll start doing that?
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They are raking in 10's of billions, growing revenues astronomically as we speak.

That's not sign of commodity actor, just the opposite.

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But, that's not what you said they'd do. I can switch to a different model with almost zero cost. That's the definition of a commodity.
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They can do both things at once (and appear to be doing so).
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While I do agree there will be disruption we haven't seen yet, my company is already spending >$40k/day for a "frontier model", so who knows. Then again, they're not using that for coding
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What are they / you using it for in such quantities?
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I know that some companies are spending around that much per day per engineer. They just want to go as fast as possible.
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Who is going to end up capturing all this value being generated is going to be very interesting. Back in 1980, who’d have thought MS would capture the majority of the value from PCs over the next 3 decades, and not IBM?
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So far, it seems to be the reverse of that disruption. Hardware companies, Nvidia, Apple, AMD, Intel, ARM, memory companies, are all having record-setting quarters, and it's actual profits, not subsidized by investors and circular investments (though the hardware companies are investing in the AI companies to keep the hype train rolling).
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