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fractorial
searching PlanetScale…
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1.
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by
fractorial
5d ago
I am in the process of open sourcing it! Unfortunately, my employer requires a (hopefully) cursory legal review.
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by
fractorial
6d ago
I’ve rolled my own harness in Go. I have a rule to not let the production LoC exceed 50k lines. It is _very_ nice for my use cases. DeepSeek Flash V4.1 often performs at the level of GPT 5.6 Sol for non-orchestration tasks (programming and
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by
fractorial
16d ago
As a programmer, maths researcher, and painter, there’s certainly something satisfying (to me) when an artistically symmetrical piece observes no mathematical symmetry: The very asymmetry in the language used to describe it is, in and of it
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by
fractorial
16d ago
Only under gross negligence would it be unprovable: Did you use a model whose training set included user data? Did the transcripts of any of the agents include a tool call whose result including user data?
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by
fractorial
17d ago
I’m impressed you had the patience to even make it that far!
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by
fractorial
17d ago
Brilliant. Precisely the reason I stopped using Anthropic's products.
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by
fractorial
22d ago
Sir, I think you are lost.
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by
fractorial
23d ago
> Because Codex without codex is fantastic. Seriously: I roll my own harness over OpenRouter and GPT 5.6, and it is genuinely better than CC+Fable for my maths and programming use cases. The one thing Fable 5.1 still tops out on is the a
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by
fractorial
29d ago
`pathological` is being used here in the security context: For example, _a parser contains a vulnerability when pathological inputs cause a program to crash._
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by
fractorial
1mo ago
How does a _multi-trillion dollar company_ think this is good presentation?
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by
fractorial
1mo ago
This is ludicrous; also, why publicly admit that blatant violation of ToS?
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by
fractorial
1mo ago
Roll your own harness or use an open source harness with a Codex subscription. I maintain a Claude subscription for Fable but seldom use it.
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fractorial
1mo ago
Damn, what an epic library name.
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by
fractorial
1mo ago
Palomar requires the Comparator/formalization.yaml challenge stack. It also has an LLM-based vacuity gate backed by Tao. Theoremdb is just a slop farm.
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by
fractorial
1mo ago
To be clear, I am deep into auto-research, but hooking up slop to slop is just unlikely to produce anything valuable. Value is in how maths is communicated: The process, frustrations, triumphs, etc. We have to able to take generated formali
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by
fractorial
1mo ago
Irrespective of opinions about a project or its authors, disclosing a potential security issue in a public forum is markedly not responsible disclosure.
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by
fractorial
1mo ago
This is, plainly stated, awesome.
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by
fractorial
1mo ago
I would love for someone to give me a coherent argument as to how this isn’t tone-deaf, vacuous garbage.
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by
fractorial
2mo ago
I can’t say much for a Chief Evangelist, but the Product Manager certainly has quite the C.V.
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by
fractorial
2mo ago
Actual link to source material: https://zenodo.org/records/21871667 It appears that there is no machine-checked proof or corroboration of this claim; I would be dubious in calling this “solved.”
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by
fractorial
2mo ago
Fascinating approach; however, a nightmare to scroll on mobile.
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Go: A more robust proposal process
(github.com)
1 points
by
fractorial
2mo ago
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0 comments
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by
fractorial
2mo ago
For context, I've rolled my own research harness in Go; I've been trying very hard to keep the non-test LOC around ~30k lines. To me, I consider this large, but necessary, especially after meticulously crafting red diffs while add
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fractorial
2mo ago
I’m not quite sure why the harness itself needs to be small. Isn’t the system prompt and management of system prompt the bit you want lightweight?
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by
fractorial
2mo ago
I similarly find it interesting; I do not understand why it is not the default to just generate the thing as a draft, research anything you aren’t clear on, and re-write it in your own voice.
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by
fractorial
2mo ago
Cosmically apt username given the substance of this comment.
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by
fractorial
2mo ago
It would appear that rolling my own Anthropic-free harness / serving stack with a closed-weight carve out for Codex models is an absolute win.
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by
fractorial
2mo ago
> Do anti-LLM types expect to be vindicated in an orgy of copyright lawsuits that resets the industry back to 2022? What do people pushing expect to accomplish? You weren’t kidding, huh.
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by
fractorial
2mo ago
> Google is less full of crap about the open weights stuff because of Gemma 4, but they are full of crap for a zillion other things I can't exactly feel good about them. So everyone sucks. Google catching this stray made me laugh, h
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by
fractorial
2mo ago
Pretty much this. I designed my own research harness and infra for theorem proving and conjecturing; however, you still need to review formulations!
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