A little over 1 year after the disastrous Llama 4 release spurred Zuck to rebuild his entire AI org, Meta's new MSL team made its public debut this April with the launch of Muse Spark. Highlights of the rebuild included the shocking $14.3B Scale AI “investment” just to poach Alexandr Wang and the best people from his Safety, Evaluations, and Alignment Labs (SEAL) team, and the multi-hundred million dollar (sometimes $1B+) pay packages offered to top AI researchers/engineers. Muse Spark, despite being closed source, lagged both DeepSeek v4 Pro and Kimi K2.6—open source models released around the same time—on most benchmarks. However, the article argues that what matters for MSL is the slope, not the intercept, and that Meta is the only hyperscaler/neolab on track to be world class at data, talent, and compute, giving it the best chance at catching up with Anthropic/OpenAI.