MIT天才博士刚毕业，就被前OpenAI CTO抢走，年薪或300万起步

Core Insights - Guangxuan Xiao, a PhD graduate from MIT, has officially joined Thinking Machines to focus on pre-training large models [1][6][10] - His academic background includes dual degrees from Tsinghua University in Computer Science and Finance, along with numerous awards and research experiences [6][8][10] Group 1: Academic and Professional Background - Guangxuan Xiao graduated from Tsinghua University with dual degrees in Computer Science and Finance, receiving multiple prestigious awards during his studies [6][8] - He completed his PhD at MIT under the supervision of Professor Song Han, focusing on efficient algorithms and systems for large language models [10][18] - Xiao has interned at major tech companies, including Meta and NVIDIA, where he contributed to research on efficient attention mechanisms and large language model optimization [10][12][18] Group 2: Research Contributions - Xiao's doctoral thesis addresses significant challenges in large language models, proposing solutions for issues like memory overflow and slow inference [18][19] - His research introduced SmoothQuant, achieving lossless quantization for billion-parameter models without retraining, and enabling constant memory streaming inference for long sequences [19][20] - The thesis also includes innovative approaches like DuoAttention and XAttention, which enhance performance while reducing memory usage [19][20] Group 3: Company Insights - Thinking Machines offers competitive salaries, with average base salaries reaching $500,000, significantly higher than those at established companies like OpenAI and Anthropic [21][25] - The company is positioned to attract top talent in the AI field, reflecting the ongoing talent war in Silicon Valley [21][28]