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spps11
searching PlanetScale…
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Show HN: ARQ Dashboard – web and TUI monitoring for Python's ARQ job queue
(github.com)
2 points
by
spps11
4mo ago
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0 comments
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by
spps11
2y ago
No I meant something else. As you said: us humans love clean abstractions. We love building on top of them. Now LLMs are trained on data produced by us. So I wonder if they would also inherit this trait from us and end up loving good abstr
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spps11
2y ago
pyspur is apache 2. it is free to self-host.
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spps11
2y ago
Yes, but I wonder how much of this trait is carried over to the LLMs from us.
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spps11
2y ago
got it, thanks for explaining. > with better AI models and tools like Cursor, we will move to a world where you can mold code ever more specific to your use case to make it more performant what do you think the value of having the right
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by
spps11
2y ago
i feel this question correlates more with the generation of the SWE more than anything. expecting current gen SWEs to talk about network layer protocols while answering this is kinda the same as expecting 1990s SWEs to include wire physics
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spps11
2y ago
very cool! always wondered what that tower was haha, now i know!
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spps11
2y ago
Thanks for sharing, enjoyed reading it! I have a slightly tangential question: Do you have any insights into what exactly DeepSeek did by bypassing CUDA that made their run more efficient? I always found it surprising that a core library li
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spps11
2y ago
When you say sequence length, does it only count the output tokens or are input tokens also included in that? Thanks for the post, it was an excellent read!
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spps11
2y ago
Is it unethical to short your own company's fake-coin?