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6/22(日)19:30〜開催🎈 オンラインイベント 「HAPPY NAKO DAY LIVE 2025」 チケットの販売は、6/19(木)までとなっております🎫 ぜひチェックしてください👀

みなさまにお知らせです📢 🌟6/22(日) HAPPY NAKO DAY LIVE 2025 (オンライン イベント) 🌟8/23(土) FANMEETING Vol.5 を開催予定です🎈 どちらも予定を空けて待ってていただけると嬉しいです🙇🏻‍♀️ 詳細は改めてお知らせしますのでお待ちください！ @nako_staff

𝙃𝙖𝙥𝙥𝙮 𝘽𝙞𝙧𝙩𝙝𝙙𝙖𝙮 𝙉𝙖𝙠𝙤 ♡ 本日6月18日は矢吹奈子の誕生日です✨🥳 皆さん是非 #HappyNakoDay# で一緒にお祝いしてくださいね🥰💗 本日は #DREAMCONCERTJAPAN2023# にてMCを務めさせて頂いております🎤 是非ご覧ください✨ #矢吹奈子# #矢吹奈子生誕祭2023# @nako_yabuki_75

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!