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Aakash Kumar Nain ✓

@A_K_Nain · New Delhi, India · joined 02 Oct 2016

ML Research | Multimodality, Self-improvement, LRMs | JAX, Keras3 collaborator, TF-addons maintainer | @GoogleDevExpert in ML-JAX | OSS | Opinions are my own

12 399Followers
1 063Following
16 393Posts total
86.4KViews on collected posts

Derniers posts

Reminder 826 views · 1 likes · 0 reposts · 1 replies Open on X →
Yeah I am convinced that there is a fair chance (70-85%) that this is gonna happen. The use cases I have seen from Astra are enough for that convinction 2.4K views · 13 likes · 0 reposts · 2 replies Open on X →
As it should. I am a firm believer that after two more releases, we will be done with all this unnecessary stuff. Most parts of the harness will become inherent to the model 751 views · 2 likes · 1 reposts · 0 replies Open on X →
There is no better way to build anything other than building it in the open. Most concerns around oss are excuses in disguise 920 views · 9 likes · 0 reposts · 1 replies Open on X →
the model is eating the harness again 3.4K views · 19 likes · 1 reposts · 1 replies Open on X →
Some (somewhat bold?) prediction: GPT-6 Luna/Terra will be the Opus 4.5 moment for knowledge work. Most of what you can do on a computer will be automated for $20/month, with Astra managing the high-level tasks. 3.2K views · 4 likes · 0 reposts · 0 replies Open on X →
One very likely outcome of what is going on: The best frontier models from closed labs will not be sold through API, enterprise being an exception. Consumer facing models will be nerfed in all possible ways 2.2K views · 7 likes · 1 reposts · 0 replies Open on X →
After contributing and maintaining TF-addons for a while, here is the next big thing I always wanted to work on. I have been a Keras power user since 2016. Always wanted to build it along with the core devs. I finally got the chance to do it, and that too for all three major 72.7K views · 89 likes · 6 reposts · 2 replies Open on X →

Face aux comptes de taille comparable

7 posts des 90 derniers jours, à côté de la tranche de 10K–100K abonnés. diffusé largement, mais peu de ces spectateurs réagissent.

Vues médianes2 182ce compte924médiane pour 10K–100K
Portée, %17.60%ce compte3.62%médiane pour 10K–100K
Engagement, %0.41%ce compte1.52%médiane pour 10K–100K
IndicateurCe compteMédiane pour 10K–100KRapport
Vues médianes par post2 1829242.36×
Portée (vues ÷ abonnés)17.60%3.62%4.86×
Taux d'engagement0.41%1.52%0.27×

Autres comptes de cette tranche →   Comparer avec un autre compte →   Comment ces repères sont établis →

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

72.7K11 Jul
2.2K26 Jul
3.2K5 Sep
3.4K6 Sep
920
751
2.4K
826

Last 8 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.

Engagement rate per post

0.13%11 Jul
0.41%26 Jul
0.16%5 Sep
0.64%6 Sep
1.09%
0.40%
0.61%
0.24%

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

What the audience does

Likes80.4%144 in total
Reposts5.0%9 in total
Replies3.9%7 in total
Quotes1.7%3 in total
Bookmarks8.9%16 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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