Self-teaching theoretical physics

AI Thread Summary
The discussion centers on the feasibility of transitioning into physics for someone with a strong background in computer science and some mathematical knowledge. The individual seeks advice on how to effectively learn physics to understand and contribute to current research. Recommendations include leveraging existing mathematical skills, particularly in linear algebra and statistics, while focusing on formal proof-based mathematics. Resources such as a featured thread on Physics Forums by ZapperZ and a website by Professor T'Hooft are suggested for guidance on becoming a physicist. The conversation emphasizes the importance of structured learning and the potential timeline for achieving proficiency in physics.
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I'm interested to get people's opinions on how plausible this is. My goal is to learn physics to the point that I can read and understand the latest works and potentially even contribute something small.

My background: I have a bachelors and masters in computer science from a top-3 school and have a fairly good grasp and intuition for linear algebra, statistics, some topology and geometry (I did do a fair bit of artificial intelligence and computer graphics)... but not very good at formal proof based mathematics.

What approach would you recommend and how long do you think it will take?
 
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