米汤
世界真小. It's a small world!
2018 高中毕业应该是大伯2022届
https://algoverseairesearch.org/about
https://www.ischool.berkeley.edu/news/2025/hany-farid-sounds-alarm-disaster-inside-ai-publishing
英国卫报挺专业，还给论文引用：
从水作看到明日之星；Interview:
Here's a summary of the key topics covered:
??? ?Early Life and Education (1:44-14:09): Kevin discusses his early mastery of high school math at age 12 through the Kumon program, his experiences growing up in suburban Illinois with academic parents, and his early exposure to lab research. He contrasts his non-competitive high school environment with the intense atmosphere he encountered at Berkeley.
??? ?Berkeley Struggles and Study Systems (18:23-29:36): Kevin recounts his initial difficulties during his first semester at Berkeley due to a lack of study skills. He then explains how he transformed his academic performance by implementing effective study systems, including reading self-help books like "Atomic Habits" and "Deep Work," utilizing time blocking, and understanding the Eisenhower matrix. He highlights how discrete math (CS70) was a pivotal class that motivated him to pursue computer science.
??? ?Breaking into Tech Recruiting (29:36-38:48): Kevin shares his advice for individuals with no prior internship experience aiming for top tech and quant companies. He emphasizes the importance of performing well in classes, gaining intermediate experiences like research assistantships or TA roles, and gradually building up a resume. He also briefly mentions his experience landing multiple quant offers, including an internship at Goldman Sachs.
??? ?Citadel and Quant Experience (42:38-52:40): Kevin provides a deep dive into the Citadel interview process, including the "Super Day" with multiple interview rounds. He discusses his offer and negotiation strategy, and the significant compensation he earned at age 21 ($154/hour). He also recounts a story about Ken Griffin's intense management style.
??? ?Transition from Quant and Finding Meaning (54:15-1:02:40): Kevin explains his decision to leave Palantir early and ultimately depart from the quant field, citing that money wasn't enough to fulfill him. He discusses his journey to finding more meaningful work and starting the Algoverse AI Research Program.
??? ?AI Research and Future Outlook (1:02:40-1:28:54): Kevin elaborates on his AI research program, its vision of being a "Bell Labs for AI," and how one of their papers was featured by OpenAI. He also shares his thoughts on AGI timelines, AI safety, and the future of software engineering, including whether computer science is still a worthwhile field.
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