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Comment by Anshuman R (anshuman-r) on The Apprentice Thread · 2021-06-18T20:53:00.880Z · LW · GW

[NORMAL] Already posted something quite similar as a reply, but posting as a main comment to indicate broader interest as well.

[APPRENTICE] AI Alignment, Machine Learning Research

I'm an incoming new grad SWE at Google and have a degree in Statistics and Data Science, to give an idea of my background and skillset. I have a modest amount of experience with machine/deep learning, mainly through coursework and a few personal projects (taken and TAd a class on Natural Language Processing, taken a survey Deep Learning class, wrote my undergraduate thesis on applying neural networks to causal inference problems). I've read a lot of the Alignment Forum and LessWrong sequences on AI alignment (Iterated Amplification, Value Learning, etc.) and would like to move into AI capability and safety research at some point in my career.

I may not have the right background or enough experience to be a useful apprentice for you but if you'd like to get in touch, you can reach me at anshuman.radhakrishnan@gmail.com

Comment by Anshuman R (anshuman-r) on The Apprentice Thread · 2021-06-17T21:15:36.704Z · LW · GW

[APPRENTICE] I'd be interested in starting to work in AI alignment, and aligning language models sounds particularly interesting. 

I'm an incoming new grad SWE at Google and have a degree in Statistics and Data Science, to give an idea of my background and skillset. I have a modest amount of experience with machine/deep learning, mainly through coursework and a few personal projects (taken and TAd a class on Natural Language Processing, taken a survey Deep Learning class, wrote my undergraduate thesis on applying neural networks to causal inference problems). I've read a lot of the Alignment Forum and LessWrong sequences on AI alignment (Iterated Amplification, Value Learning, etc.) and would like to move into AI capability and safety research at some point in my career.

I may not have the right background or enough experience to be a useful apprentice for you but if you'd like to get in touch, you can reach me at anshuman.radhakrishnan@gmail.com

Comment by Anshuman R (anshuman-r) on Which sources do you trust the most on nutrition advice for exercise? · 2020-12-16T19:03:53.334Z · LW · GW

Yup, their podcast is my primary means of staying up to date with fitness content.

Comment by Anshuman R (anshuman-r) on Which sources do you trust the most on nutrition advice for exercise? · 2020-12-16T04:25:22.927Z · LW · GW

I'm pretty passionate about physical fitness and body composition and would recommend the following sources/figures to follow:

Menno Henselmans (known for "bayesian bodybuilding", website)

Mike Israetel (co-founded RP (disclosure: I intern here), wrote these books of some potential interest). I'm a friend of Mike's and can also vouch that his thinking style is very rationalist-adjacent.

Eric Helms (founded 3DMJ and wrote these books which are great)

Lyle McDonald (good FB group here, website here). Lyle is extremely abrasive, but he knows his shit. He's also not afraid to call out other figures in the industry for what he believes to be inaccurate info- I'm personally not a fan of his discourse style but again, he knows this stuff back to front.

Greg Nuckols (website, great intro books here). Greg is fucking awesome, super rationalist-adjacent in thinking style and discourse.

If you want my number one recommendation for books/resources, it would be to get the Art and Science of Lifting books that Greg co-wrote (linked above). The Muscle and Strength Pyramids (linked under Eric's name) would be a little bit more thorough treatment of similar topics. I'm personally a fan of Mike/RP's training and dieting methodology, but all of these guys agree on the most important elements of training and dieting and nuances beyond that are pretty irrelevant in the grand scheme of things.

Comment by Anshuman R (anshuman-r) on Anti-EMH Evidence (and a plea for help) · 2020-12-07T23:04:45.061Z · LW · GW

Also interested in the crypto opportunity.