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China successfully launched two hyperspectral satellites off its eastern coast — a mission that marks the first integrated “satellite–rocket–vessel–application” breakthrough.

89% of the world never had access to global equities. Now they do, on an app they use. bStocks hit $565.9M in 7 weeks. 90%+ of users are from emerging markets, 44% are Gen Z, and for many it’s their first brokerage account. One account. 168 hrs/week.

사나의 냉터뷰 너가 먼저 꼬셨다?💘l EP.20 하투하(H2H) 지우 편 You made the first move, okay?💘l EP.20 Hearts2Hearts (H2H) Jiwoo's Episode 🎬 #TWICE# #트와이스# #SANA# #사나#

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!