与「HAPPY_Seollal_SESANG」相关的搜索结果

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세정의 설날 인사가 도착했습니다!
2026년에도 함께 해요 ⋆͛♡⋆͛   🔗   #김세정# #KIMSEJEONG
##세정# #SEJEONG
##HAPPY_Seollal_SESANG# 🩷

[💌] 세정이의 설날 인사가 도착했습니다📬 2025년은 세정과 세상 모두 행복한 해😍 ▶️ #김세정# #KIMSEJEONG# #세정# #SEJEONG# #HAPPY_Seollal_SESANG💕#

[💌] 세정이의 설날 인사가 도착했습니다📬 2024년에도 세정이와 진하게 사랑해요🩷 ▶️ ▶️ #김세정# #KIMSEJEONG# #세정# #SEJEONG# #HAPPY_Seollal_SESANG🌸#

[💌] 2023 김세정 설날 인사 메시지 세상 여러분! 세정이와 함께 건강하고 행복한 설 연휴 보내요💖 #김세정# #KIMSEJEONG# #세정# #SEJEONG# #HAPPY_Seollal_SESANG🌸#

We tried using Meta's new Muse Code agent, but it has a bug that doesn't let it sign in from a docker container. So we did a fun experiment: Meta claims Muse Spark 1.2 was co-trained with their Muse agent harness. So we extracted instructions from their system prompt and added them to the Cline harness. TL;DR of this special prompting: - Trust source code over the user prompt, so read every call site and existing tests before starting the task - Weigh edge and error cases as heavily as the happy path - Always reproduce the bug before fixing - Don't trust the first passing test suite, and verify suspicious looking half-baked tests - Never stop at just editing, keep working until the change is verified complete. We then asked this modified harness to fix a real bug from our repo, and compared the results to the original Cline agent harness. Results: - Used 2.7x fewer tokens (19.7M → 7.2M) - Finished 2x faster (49min → 24min) - Cost 2.4x less ($7.69 → $3.25) Same Muse Spark 1.2 model, same task, only the prompting changed. Incredible how much of a performance gain Meta was able to achieve training it on these special instructions!

"Aw, this the best in the world, right here." Ant's daughter left a heartfelt message inside his NBA All-Star ring box in February 🥲❤️ Happy 25th Birthday, @anthonyedwards!