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Claude Fable 5

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Re: Claude Fable 5

#752
post #296

> In light of the ability of recent models to accelerate their own development, we’ve implemented new interventions that limit Claude’s effectiveness for requests targeting frontier LLM development (for example, on building pretraining pipelines, distributed training infrastructure, or ML accelerator design). Using Claude to develop competing models already violates our Terms of Service, but enforcing this restrictio…

This makes me want to see China and open models succeed more than anything :)

In a few months they will have Fable level models costing 10 times less and with less safeguards.

Re: Claude Fable 5

#753
I can’t help but think that there are so many astroturfed comments in here.

Seems like a concerted and distributed effort from the entire Anthropic team every time to get this on top of HN.

Re: Claude Fable 5

#754
post #534

I've spent enough time with this now in Claude Code (and Claude.ai and Claude Code for web) to have an opinion on Fable 5: it's a beast. I'm throwing some VERY difficult problems at at - things I've been dragging my heels on for months - and it's crunching through them very happily. One that I'm willing to share (albeit from just a week ago) - I built a Python library last week that bundles MicroPython compiled to WA…

> VERY difficult problems

Compared to what?

Re: Claude Fable 5

#755

From today through June 22, Fable 5 is included on Pro, Max, Team, and seat-based Enterprise plans at no extra cost. On June 23, we’ll remove Fable 5 from those plans. Using it after that will require usage credits. If capacity allows, we’ll extend the included window. After this point—when sufficient capacity allows us to do so—we aim to restore Fable 5 as a standard part of subscription plans. We intend to do this…

I'll be amazed if they manage to keep their infra responsive over the next 2 weeks.

No issues that I've seen so far. Seems to be holding up for now.

Re: Claude Fable 5

#756
Just threw a problem at Fable that I haven't been able to get any other model to get done: porting a long-standing Agda codebase of mine to Lean, while staying faithful to the representation. In an hour, it ported ~6000 lines of Agda and everything seems to work. Lean checks out, the output is right. I'll have to study the proofs but I am very impressed.

Re: Claude Fable 5

#757

I can’t help but think that there are so many astroturfed comments in here. Seems like a concerted and distributed effort from the entire Anthropic team every time to get this on top of HN.

I'm not fan of Anthropic, but to be fair, every major model release makes it to the main page. In the case of a model like this, hyped and with a jump in capabilities, it doesn't need astroturfing.

Re: Claude Fable 5

#758

I can’t help but think that there are so many astroturfed comments in here. Seems like a concerted and distributed effort from the entire Anthropic team every time to get this on top of HN.

Where do you see them exactly? The comments are pretty much in line with how the model performs IRL.

Re: Claude Fable 5

#759
post #60

Not missing the forest for the trees, this effectively means in 3-5 months China will drop open source models that are every bit as capable and dangerous as current day Mythos except with no safeguards. And the only companies safe from this are the large corporations that shook hands with Anthropic? Because Fable doesn't seem to have actual safeguards, more like 'if you talk about this you will be talking to Opus.' I…

My experience is that open weight models from China are at least ~12 months behind. In some workloads they may be closer, in others further away.

I also find that the harness and product you wrap around models can often narrow that gap considerably.

Opus 4.6 for example, on a PR-for-PR basis was head and shoulders above GLM 5.1. Perhaps GLM 5.1 was a bit under Sonnet 4.6 at the time. That's roughly a year or so behind.

Much cheaper though! I'm bullish on open weight models, I have no idea where all these curves will top out, can the frontier labs keep the year plus lead? Do open labs get close enough to SOTA that they gain adoption across many tasks and drive down inference prices??? Who knows, not me.

Re: Claude Fable 5

#760

I can’t help but think that there are so many astroturfed comments in here. Seems like a concerted and distributed effort from the entire Anthropic team every time to get this on top of HN.

Corporations have done worse for much less money involved. Now we have trillion dollar companies going IPO. With so much at stake, it’s not unthinkable that there’s astroturfing happening.
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