Sridhar Ramesh
@RadishHarmers · Manhattan · joined 30 Mar 2015
Born Samuel Langhorne Clemens in rural Missouri. Adopted the pen name "Sridhar Ramesh" from riverboat slang.
92 089Followers
505Following
85 728Posts total
263.1KViews on collected posts
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I'm not a real mathematician, but that's okay. No one else will be either in twenty years.
191 views · 2 likes
· 0 reposts · 0 replies
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It has become clear that, against all advice, every minute I've spent on math instead of comedy was an imprudent waste of time. Now to go back and re-live my life with 20/20 hindsight.
8.6K views · 205 likes
· 6 reposts · 5 replies
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Of course, laypeople never knew there was such a thing as math research anyway, or what it amounted to. "Hasn't it all been invented already, ages ago?". They'd have assumed mathematicians were killed off by computers in the mid 20th century, not just now. https://t.co/vXgyYT9fZB
5.4K views · 55 likes
· 1 reposts · 1 replies
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@RadishHarmers you make so many funny ironic posts i can’t tell if this is interesting to you or a joke too deep for me to understand under layers of sarcasm
1.5K views · 16 likes
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Like the other logic example I posted, the authors aren't random prompters. They are experts in the area (hi, @jimfreitag!), guiding the AI building upon their and others' work. So I construe this as also still demonstrating the value of human expertise. But I may be coping. http
6.7K views · 179 likes
· 1 reposts · 5 replies
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In July, I asked a couple model theorist friends of mine what they considered the major open problems of logic. They both mentioned the stable forking conjecture. This has now been resolved using ChatGPT.
https://t.co/ESmt68K6yB https://t.co/hjW1AumFic
71K views · 787 likes
· 70 reposts · 15 replies
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On the dead Internet, people auto-publish pointless AI slop videos from other people's (non-slop, valuable, even if AI-assisted) arXiv papers now. What a world. https://t.co/KkZnrmsM7A
3.7K views · 7 likes
· 2 reposts · 0 replies
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@RadishHarmers heyting algebra? what is this about, my dang kid?
2.3K views · 41 likes
· 1 reposts · 1 replies
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It was wrong of me to waste such a large portion of my one life on math/logic, a moribund field where I am obsolete. I must devote myself from now on 100% to comedy, an oversaturated field where I am too late.
8.3K views · 548 likes
· 22 reposts · 9 replies
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To be honest, I don't quite know the level of ChatGPT involvement here. The authors disclose help from it, but it's not clear if that help means having the entire idea or just some small fraction of it.
6.6K views · 120 likes
· 0 reposts · 3 replies
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Note that this is the same open problem whose unsuccessful pursuit by Andrew Pitts led him to instead discover uniform Craig interpolation for intuitionistic propositional logic.
9.1K views · 129 likes
· 0 reposts · 1 replies
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It finally happened. The open math problems solved by LLM now include one of interest to me that I myself (among many) have previously unsuccessfully thought about. https://t.co/qRFhbDT0hK https://t.co/aoyjXsSNCw
139.7K views · 852 likes
· 68 reposts · 27 replies
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I have got to spend less time tweeting and more time searching for my missing daughter.
0 views · 7.7K likes
· 508 reposts · 119 replies
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If the electronic calculator had never been invented, I'd be in pretty high demand.
0 views · 7 likes
· 0 reposts · 1 replies
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Against accounts of the same size
12 posts from the last 90 days, next to the 10K–100K follower range. shown to more people than peers of the same size.
Median views6 620this account924median for 10K–100K
Reach, %7.19%this account3.62%median for 10K–100K
Engagement, %1.33%this account1.52%median for 10K–100K
| Metric | This account | Median for 10K–100K | Ratio |
|---|---|---|---|
| Median views per post | 6 620 | 924 | 7.16× |
| Reach (views ÷ followers) | 7.19% | 3.62% | 1.99× |
| Engagement rate | 1.33% | 1.52% | 0.87× |
Others in this range → Compare with another account → How these benchmarks are built →
Growth & engagement
How the posts we collected actually performed: views and reaction rate post by post, what the audience did with them, and where the follower count goes.
Views per post
139.7K28 Aug
9.1K
6.6K
8.3K
2.3K
3.7K31 Aug
71K2 Sep
6.7K
1.5K
5.4K
8.6K
1913 Sep
Last 12 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.
Engagement rate per post
0.68%28 Aug
1.42%
1.88%
6.97%
1.84%
0.24%31 Aug
1.24%2 Sep
2.78%
1.08%
1.05%
2.51%
1.05%3 Sep
Reactions — likes, reposts, replies and quotes — divided by views. Median for 10K–100K accounts is 1.52%.
What the audience does
Likes78.0%2 941 in total
Reposts4.5%171 in total
Replies1.8%67 in total
Quotes0.4%14 in total
Bookmarks15.3%578 in total
Share of every reaction we collected for this account. Replies mean argument, reposts mean endorsement, bookmarks mean the post was worth keeping.
The follower curve appears once this account has two daily snapshots — we take one a day, and this one is on its first.
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