Abhishek🌱 ✓

@Abhishekcur · Tokyo · joined 28 May 2024

22 | C++, Rust systems, perf., Inference, profiling and physics

22 639Followers

539Following

26 062Posts total

5.7KViews on collected posts

Últimas publicaciones

Abhishek🌱 ✓@Abhishekcur23 Sep

the ai frontier models are getting faster and more capable almost every day. but there is something that doesn't seem to be scaling at the same pace: our ability to actually understand what they produce. an llm can generate a huge amount of information in seconds code, 674 views · 11 likes · 0 reposts · 1 replies Open on X →

Abhishek🌱 ✓@Abhishekcur23 Sep

been revisiting this fantastic paper again: what every programmer should know about memory by Ulrich depper. it is one of those resources that feels completely different when you come back to it after learning more about systems. cpu caches, cache lines, memory hierarchy, ram, h

844 views · 34 likes · 0 reposts · 1 replies Open on X →

Abhishek🌱 ✓@Abhishekcur21 Sep

@Abhishekcur Will just try to refine : Without deliberate practice you are just learning vocabulary. 52 views · 2 likes · 0 reposts · 1 replies Open on X →

Abhishek🌱 ✓@Abhishekcur21 Sep

@Abhishekcur does learning still matter in the age of ai? 61 views · 1 likes · 0 reposts · 1 replies Open on X →

Abhishek🌱 ✓@Abhishekcur21 Sep

@Abhishekcur on point! 54 views · 1 likes · 0 reposts · 1 replies Open on X →

Abhishek🌱 ✓@Abhishekcur21 Sep

no matter how many resources you follow, knowledge doesn’t become yours until you genuinely learn it and practice it. otherwise, you’re not really learning. you’re just experiencing the feeling of knowing. 1.7K views · 86 likes · 5 reposts · 4 replies Open on X →

Abhishek🌱 ✓@Abhishekcur20 Sep

@Abhishekcur 200× faster on some workflows is a huge claim. would be cool to see how it performs in real-world tests 6 views · 0 likes · 0 reposts · 0 replies Open on X →

Abhishek🌱 ✓@Abhishekcur20 Sep

my whole tl is filled with this, literally. typesafe just introduced jev, an early-access model designed for fast, structured decisions that software can use directly. the idea is pretty interesting, instead of another model mainly built around generating text, jev is focused h

1.2K views · 25 likes · 1 reposts · 1 replies Open on X →

Abhishek🌱 ✓@Abhishekcur19 Sep

either i’ll do computers, or i’ll do more computers. there’s no in-between. 1.1K views · 22 likes · 0 reposts · 1 replies Open on X →

Frente a cuentas del mismo tamaño

9 publicaciones de los últimos 90 días, junto al rango de 10K–100K seguidores. alcance normal para su tamaño, reacción más fuerte que la mayoría.

Visualizaciones medianas674esta cuenta924mediana de 10K–100K

Alcance, %2.98%esta cuenta3.62%mediana de 10K–100K

Interacción, %3.28%esta cuenta1.52%mediana de 10K–100K

Métrica	Esta cuenta	Mediana de 10K–100K	Proporción
Visualizaciones medianas por publicación	674	924	0.73×
Alcance (visualizaciones ÷ seguidores)	2.98%	3.62%	0.82×
Tasa de interacción	3.28%	1.52%	2.16×

Otras cuentas de este rango → Comparar con otra cuenta → Cómo se construyen estas referencias →

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

1.1K19 Sep

1.2K20 Sep

1.7K21 Sep

84423 Sep

674

Last 9 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.

Engagement rate per post

2.01%19 Sep

2.35%20 Sep

0.00%

5.64%21 Sep

3.70%

3.28%

5.77%

4.15%23 Sep

1.78%

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

What the audience does

Likes72.5%182 in total

Reposts2.4%6 in total

Replies4.4%11 in total

Quotes0.4%1 in total

Bookmarks20.3%51 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.

Últimas publicaciones

Frente a cuentas del mismo tamaño

Growth & engagement

Views per post

Engagement rate per post

What the audience does

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