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

Neueste Beiträge

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 →

Im Vergleich zu Konten gleicher Größe

9 Beiträge aus den letzten 90 Tagen, verglichen mit der Größenklasse 10K–100K Follower. übliche Reichweite für diese Größe, stärkere Reaktion als bei den meisten.

Medianaufrufe674dieses Konto924Median für 10K–100K

Reichweite, %2.98%dieses Konto3.62%Median für 10K–100K

Interaktion, %3.28%dieses Konto1.52%Median für 10K–100K

Kennzahl	Dieses Konto	Median für 10K–100K	Verhältnis
Medianaufrufe pro Beitrag	674	924	0.73×
Reichweite (Aufrufe ÷ Follower)	2.98%	3.62%	0.82×
Interaktionsrate	3.28%	1.52%	2.16×

Weitere Konten dieser Größe → Mit einem anderen Konto vergleichen → Wie diese Vergleichswerte entstehen →

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.

Neueste Beiträge

Im Vergleich zu Konten gleicher Größe

Growth & engagement

Views per post

Engagement rate per post

What the audience does

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