#2281 submission_evaluation
succeeded
https://laurentiugabriel.github.io/blog/articles/how-i-use-llms-to-learn/
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#2280 submission_evaluation
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https://samscript.dev/posts/i-used-an-llm-to-quit-vaping/
#2279 submission_evaluation
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https://www.mikeayles.com/blog/on-chip-llm-kv260/
#2278 submission_evaluation
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https://tickclip.ai
#2277 submission_evaluation
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https://phinq.co
#2276 submission_evaluation
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https://transformerlab.ai
#2275 submission_evaluation
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https://marketplace.visualstudio.com/items?itemName=multicoder.multicoder
#2274 submission_evaluation
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https://swapniltalekar.substack.com/p/the-truth-about-multi-agent-workflows
#2273 submission_evaluation
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https://machinesatplay.com
#2272 submission_evaluation
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https://github.com/kabirnarang39/wardline
#2271 submission_evaluation
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https://github.com/omacom-io/ttfx
#2270 submission_evaluation
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https://github.com/superlinked/sie
Processing logs
Newest worker events first.
info / capturing_screenshot
Capturing screenshot for Training a 3.8B LLM to 0.384 CORE for $998.
https://hugovergnes.github.io/little-lm-3-8b/ / 2026-09-10 15:32:21
info / complete
Accepted and published Training a 3.8B LLM to 0.384 CORE for $998.
https://hugovergnes.github.io/little-lm-3-8b/ / 2026-09-10 15:32:21
info / publishing
Publishing accepted listing.
https://hugovergnes.github.io/little-lm-3-8b/ / 2026-09-10 15:32:21
info / evaluation_saved
Saved accepted evaluation with score 78.
https://hugovergnes.github.io/little-lm-3-8b/ / 2026-09-10 15:32:21
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https://github.com/DebarghaG/LeanGuard / 2026-09-10 15:32:17