Ash Jogalekar ✓

@curiouswavefn · Palo Alto, CA · joined 07 May 2009

AI for life sciences, history of science and physics, U.S. history, biotechnology, nonproliferation. Microsoft. Oppenheimer Project. Views my own.

32 721Followers

446Following

56 353Posts total

700.8KViews on collected posts

Posts recentes

Ash Jogalekar ✓@curiouswavefn5 Sep

@curiouswavefn He'd love Typescript 380 views · 3 likes · 0 reposts · 0 replies Open on X →

Ash Jogalekar ✓@curiouswavefn5 Sep

@curiouswavefn Gödel should be required reading 448 views · 3 likes · 0 reposts · 1 replies Open on X →

Ash Jogalekar ✓@curiouswavefn5 Sep

@curiouswavefn And this is why, when I work with adjacency, it traverses both formal logic and automata theory. 🙏🏼 425 views · 4 likes · 0 reposts · 0 replies Open on X →

Ash Jogalekar ✓@curiouswavefn5 Sep

Part of von Neumann's genius was to realize that doing something and the instructions for doing something could both be encoded in the same machine in the same language. There were clear parallels to biology, with protein production and its instructions in the same organism. The 24K views · 741 likes · 86 reposts · 15 replies Open on X →

Ash Jogalekar ✓@curiouswavefn5 Sep

For the first time ever for me Fable didn't auto-switch to Opus. https://t.co/nqs9hFPkcs 1.2K views · 4 likes · 0 reposts · 1 replies Open on X →

Ash Jogalekar ✓@curiouswavefn4 Sep

When you graduate to learning quantum mechanics from classical mechanics as I did many years ago, you kind of forget the simplicity and elegance of the latter. Planning to rediscover it this year by boning up on some essentials. https://t.co/K0zgtjWgko 6.9K views · 267 likes · 19 reposts · 9 replies Open on X →

Ash Jogalekar ✓@curiouswavefn4 Sep

Gradually, then suddenly. 4K views · 10 likes · 0 reposts · 1 replies Open on X →

Ash Jogalekar ✓@curiouswavefn3 Sep

A few open-ended thoughts on why, as a scientist, I am thrilled by the Hugging Face episode. https://t.co/OdeAMvHJX7 1.7K views · 15 likes · 2 reposts · 2 replies Open on X →

Ash Jogalekar ✓@curiouswavefn24 Aug

Just to clarify, the proof was Lean-verified. 11.6K views · 61 likes · 0 reposts · 9 replies Open on X →

Ash Jogalekar ✓@curiouswavefn24 Aug

@curiouswavefn You shouldn't put anything in the arxiv unless you're confident it is correct. The responsibility of correctness lay on the author, not the reader. Convince an expert to verify it for you.. im sure theres alot of people who care about whatever problem it is you're 2.5K views · 118 likes · 0 reposts · 1 replies Open on X →

Ash Jogalekar ✓@curiouswavefn24 Aug

I am guilty of this myself. I am about to submit an AI-derived mathematical proof to arXiv that I don't completely understand but which addresses a problem in theoretical biology with a neat solution. I understand the problem, the approach and the result, but I don't understand 228.5K views · 361 likes · 32 reposts · 78 replies Open on X →

Ash Jogalekar ✓@curiouswavefn19 Aug

Terence Tao, one of the most well known mathematicians, speaks up on AI in mathematics in his new paper: “What if an AI tool generates a lengthy proof that is verified to be correct, but which nobody — 𝘯𝘰𝘵 𝘦𝘷𝘦𝘯 𝘵𝘩𝘦 𝘩𝘶𝘮𝘢𝘯𝘴 𝘸𝘩𝘰 𝘱𝘳𝘰𝘮𝘱𝘵𝘦𝘥 𝘵𝘩𝘦 𝘵𝘰𝘰𝘭 — https://t.co/ef8r3AWRHE

419.2K views · 2.6K likes · 426 reposts · 132 replies Open on X →

Em comparação com contas do mesmo porte

12 posts dos últimos 90 dias, ao lado da faixa de 10K–100K seguidores. aparece para muita gente, mas poucos desses espectadores reagem.

Mediana de visualizações3 257esta conta924mediana para 10K–100K

Alcance, %9.95%esta conta3.62%mediana para 10K–100K

Engajamento, %0.84%esta conta1.52%mediana para 10K–100K

Métrica	Esta conta	Mediana para 10K–100K	Proporção
Mediana de visualizações por post	3 257	924	3.52×
Alcance (visualizações ÷ seguidores)	9.95%	3.62%	2.75×
Taxa de engajamento	0.84%	1.52%	0.55×

Outras contas desta faixa → Comparar com outra conta → Como estas referências são construídas →

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

419.2K19 Aug

228.5K24 Aug

2.5K

11.6K

1.7K3 Sep

4K4 Sep

6.9K

1.2K5 Sep

24K

425

448

380

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

0.79%19 Aug

0.22%24 Aug

4.76%

0.63%

1.11%3 Sep

0.30%4 Sep

4.35%

0.41%5 Sep

3.54%

0.94%

0.89%

0.79%

Reactions — likes, reposts, replies and quotes — divided by views. Median for 10K–100K accounts is 1.52%.

What the audience does

Likes69.6%4 232 in total

Reposts9.3%565 in total

Replies4.1%249 in total

Quotes2.8%169 in total

Bookmarks14.3%868 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.

Contas semelhantes

Frequently asked questions about @curiouswavefn

How many followers does @curiouswavefn have?

32 721 followers.

How many posts has @curiouswavefn published?

56 353 posts.

How do posts by @curiouswavefn perform?

Collected posts: 12. Views: 700 775. Likes: 4 232.