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andylizf
searching PlanetScale…
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Show HN: Nonstop, two files that keep Claude Code working while you sleep
(github.com)
1 points
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andylizf
7mo ago
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0 comments
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andylizf
8mo ago
Update: My account has been re-enabled this morning. Google apologized for the delay. To clarify some questions in the comments: This was a personal account. I normally use my university account for research. I hadn't even used up the
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Google Cloud suspended my account for 2 years, only automated replies
159 points
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andylizf
9mo ago
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103 comments
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by
andylizf
1y ago
Author here. We used ADRS to automatically evolve a scheduling algorithm starting from a simple greedy policy. Surprisingly, it outperformed Uniform Progress, the NSDI'24 best paper algorithm by discovering "selective waiting"
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AI Discovers Algorithm That Beats NSDI'24 Best Paper
(adrs-ucb.notion.site)
6 points
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andylizf
1y ago
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2 comments
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andylizf
1y ago
Yeah that's it. My bad lol
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andylizf
1y ago
Exactly. That's because instead of just mapping keywords, vector search stores the rich meaning of the text as massive data structures, and LEANN is our solution to that paradoxical inefficiency.
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andylizf
1y ago
Yeah, that's a fair point at first glance. 50GB might not sound like a huge burden for a modern SSD. However, the 50GB figure was just a starting point for emails. A true "local Jarvis," would need to index everything: all yo
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andylizf
1y ago
This is fantastic work. The focus on a local, sandboxed execution layer is a huge piece of the puzzle for a private AI workspace. The `coderunner` tool looks incredibly useful. A complementary challenge is the knowledge layer: making the AI