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Abdullah Hamdi

@Eng_Hemdi · Oxford, United Kingdom · joined 25 Nov 2011

research scientist @KAUST_News 3D-AI+agents | prev: postdoc @Oxford_VGG 🇬🇧 | @fihmai founder | my @tedX talk about AI inequality: https://t.co/Y24DtOs33b

10 171Followers
2 216Following
6 371Posts total
28.4KViews on collected posts

Latest posts

Gpt Astra was such an anomaly , that nobody saw coming this fast . It scooped entire fields , many AI startups will become useless and lose competitive advantage because of this . Now imagine actual AGI ! Investing in AI startups now seams to be like investing in memecoins ( 990 views · 2 likes · 0 reposts · 0 replies Open on X →
Very promising direction but very stupid implementation Material science is not a single experiment protocol that you measure and optimize for its inputs , it’s multi-facet problem that involves many steps some usually require devices, furnace, thermo electrical, TEM/SEM , 725 views · 0 likes · 0 reposts · 0 replies Open on X →
Silicone Valley chief philosopher @naval caught this ! https://t.co/P38Zk1ggw6
2.8K views · 4 likes · 0 reposts · 0 replies Open on X →
Wow , the hate in the comments I received for this post is unreal ! I love to play chess, and I spend time solving its puzzles, but I can’t ask people to pay me money for playing chess, though some Chess puzzles might be relevant in 50 years for some application. Chill ! 1.7K views · 3 likes · 0 reposts · 0 replies Open on X →
if computer vision wants to continue being a relevant filed of study , it needs to evolve to encompass all other fields, basically any engineering/science domain has or could have visual data and could be -in theory- a computer vision sub-domain with its own challenges and https:
14.1K views · 80 likes · 12 reposts · 4 replies Open on X →
We are entering the era of “single AI model doing all tasks digital and physical” Let that sink in … no more AI training , no more pytorch, just context engineering, harness design, and physical engineering + logistics ( securing money, resources in time) is all what remains 4.6K views · 32 likes · 2 reposts · 3 replies Open on X →
I started a new position as a research scientist at @KAUST_News working on 3D AI and agentic AI for emergent applications in energy, devices, and materials. https://t.co/rpDjwA5L9m
GIF
3.5K views · 32 likes · 1 reposts · 4 replies Open on X →

Against accounts of the same size

7 posts from the last 90 days, next to the 10K–100K follower range. shown widely, but few of those viewers react.

Median views2 777this account998median for 10K–100K
Reach, %27.30%this account3.68%median for 10K–100K
Engagement, %0.20%this account1.63%median for 10K–100K
MetricThis accountMedian for 10K–100KRatio
Median views per post2 7779982.78×
Reach (views ÷ followers)27.30%3.68%7.42×
Engagement rate0.20%1.63%0.12×

Others in this range →   Compare with another account →   How these benchmarks are built →

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

3.5K3 Aug
4.6K6 Sep
14.1K9 Sep
1.7K10 Sep
2.8K13 Sep
72516 Sep
990

Last 7 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.

Engagement rate per post

1.06%3 Aug
0.83%6 Sep
0.70%9 Sep
0.17%10 Sep
0.14%13 Sep
0.00%16 Sep
0.20%

Reactions — likes, reposts, replies and quotes — divided by views. Median for 10K–100K accounts is 1.63%.

What the audience does

Likes63.5%153 in total
Reposts6.2%15 in total
Replies4.6%11 in total
Quotes1.7%4 in total
Bookmarks24.1%58 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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