So recently I've been thinking, would a brilliant mathematician do extremely well in cp? Hypothetically speaking, if Terence Tao started learning data structures and algorithms for a month and then started grinding contests on Codeforces, would he make LGM in a couple months and maybe even secure a comfortable #1 place on top rating? Personally, I genuinely believe it might be possible but that might be due to my naivety and lack of experience. I am curious what you guys think.
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yea why is terence tao lowk od
only thing feasible in this post is your naivety and lack of experience
so recently I've been thinking, would a pupil like you do extremely well in cp if instead of thinking about hypothetical questions, he was thinking about problems? Hypothetically speaking, if you started actually doing codeforces problems for a month then actually did contests on Codeforces, would you not be pupil in a couple months and maybe even hit expert? Personally, I genuinely think it might be possible but that might be due to me having too much trust for pupils like you. I aint curious about what you think, this is a suggestion for you to LOCK IN
probably yeah, he's one of the few people that can still do problems chatgpt can't
Definitely he would be able to become an LGM comfortably, but I don't think comfortable rank 1 would be anywhere even close to being easy.
Wait why not though? I'd imagine he has really strong intuition and ability to learn topics pretty fast. And also he's been doing problem solving for nearly his entire life.
That's why I said LGM for sure, but to be ranked 1 consistently is going to be hard, because at the top its always uncertain ranking. Though, I also believe he will be ranked 1 for many times.
Especially, other very top LGMs themselves are crazy problem solvers. He will compete with them on equal terms, though it may take time to get used to CP, like how other LGMs became LGM.
Boy oh boy where do I even begin. Terence Tao... honey, my pookie bear. I have loved you ever since I first laid eyes on your Fourier analysis notes. The way you effortlessly manipulate equations and strike fear into the eyes of graduate students. Your silky smooth problem-solving techniques, and that gorgeous mathematical intuition. I would do anything for you. I wish it were possible to freeze time so I would never have to watch you stop publishing papers.
You had a rough childhood being absurdly smarter than every human alive, but you never gave up hope. You are even amazing off the chalkboard, you're a great teacher and mentor, sometimes I even call you professor. I forever dread and weep, thinking of the day you will one day stop solving millennium-level problems. I would sacrifice my own AMC score if it were the only thing that could put a smile on your beautiful face.
You have given me so much joy, and intellectual heartbreak over the years. I remember when I first tried reading one of your blog posts and it's like my brain got broken into a million pieces. But a tear still fell from my right eye when I finally understood one paragraph, because deep down, my glorious king deserved it.
I just wanted to understand analysis. Then alas, you uploaded another beautifully written exposition and I rejoiced. Real analysis was a hard year for us baby, but then you dropped another incomprehensibly elegant proof and made history happen. You came back from a 3-1 inequality and I couldn't believe it. I was crying, bawling even, and I heard my glorious king exclaim these words, “Let ε be small.” Not only have you changed mathematics forever, but you've eternally changed my world.
And now you're getting older, but still the GOAT, my GOAT. I love you pookie bear, my glorious king, Terence Tao.