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AK ✓

@_akhaliq · joined 27 Apr 2014

AI research paper tweets, ML @Gradio (acq. by @HuggingFace 🤗) dm for promo ,submit papers here: https://t.co/UzmYN5XOCi

527 346Followers
3 124Following
47 539Posts total
688.2KViews on collected posts

Neueste Beiträge

Transferring the Intelligence of VLMs to Robotic Control paper: https://t.co/JyULyeMWtc https://t.co/doyUBxuqk2
12.7K views · 33 likes · 7 reposts · 8 replies Open on X →
onPanda Efficient Annotation of On-Policy Alignment Data for LLMs and Agents via Token-Level Correction paper: https://t.co/1QQvCBq8Ci https://t.co/tyo4JQILzP
12.9K views · 30 likes · 3 reposts · 6 replies Open on X →
RRSI Regularized Recursive Self-Improvement of Agent Harnesses paper: https://t.co/ZziXvCEFhk https://t.co/y6R9t7AP1M
13.6K views · 52 likes · 19 reposts · 8 replies Open on X →
@_akhaliq Code: https://t.co/ECyWe7mP8w Page: https://t.co/IOJxRZVNT9 https://t.co/o9XpxrJJR3
2:53
299 views · 3 likes · 1 reposts · 0 replies Open on X →
@_akhaliq Thank you AK! 149 views · 0 likes · 0 reposts · 0 replies Open on X →
@_akhaliq implicit memory, explicit GPU bill incoming 66 views · 0 likes · 0 reposts · 0 replies Open on X →
WorldCrafter Consistent Video World Model with Implicit 3D-aware Memory paper: https://t.co/lUHlMZWXSN https://t.co/vd9agFM3wL
0:28
17.8K views · 172 likes · 18 reposts · 14 replies Open on X →
AK ✓@_akhaliq
@_akhaliq Will get the formal submission in shortly! In the meantime, link: Theoretical Optimization of Perception and Abstract Synthesis (TOPAS): A Convergent Neuro-Symbolic Architecture for General Intelligence 885 views · 1 likes · 0 reposts · 0 replies Open on X →
AK ✓@_akhaliq
after submitting to daily papers, open a PR to add your github, project page and more here: https://t.co/Q2ni0gBqiO 13.1K views · 11 likes · 1 reposts · 0 replies Open on X →
AK ✓@_akhaliq
for daily papers, authors can directly submit them here: https://t.co/gwjqMBKVg0 616.7K views · 636 likes · 47 reposts · 93 replies Open on X →

Im Vergleich zu Konten gleicher Größe

7 Beiträge aus den letzten 90 Tagen, verglichen mit der Größenklasse 100K–1M Follower. wird weit gezeigt, aber nur wenige dieser Zuschauer reagieren.

Medianaufrufe12 687dieses Konto5 983Median für 100K–1M
Reichweite, %2.41%dieses Konto1.49%Median für 100K–1M
Interaktion, %0.38%dieses Konto0.93%Median für 100K–1M
KennzahlDieses KontoMedian für 100K–1MVerhältnis
Medianaufrufe pro Beitrag12 6875 9832.12×
Reichweite (Aufrufe ÷ Follower)2.41%1.49%1.61×
Interaktionsrate0.38%0.93%0.41×

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

616.7K11 Oct
13.1K28 Oct
88526 Nov
17.8K22 Sep
66
149
299
13.6K
12.9K
12.7K

Last 10 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 Oct
0.09%28 Oct
0.11%26 Nov
1.16%22 Sep
0.00%
0.00%
1.34%
0.59%
0.33%
0.38%

Reactions — likes, reposts, replies and quotes — divided by views. Median for 100K–1M accounts is 0.93%.

What the audience does

Likes58.6%938 in total
Reposts6.0%96 in total
Replies8.1%129 in total
Quotes0.8%12 in total
Bookmarks26.6%425 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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