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

Ultimi post

Abdullah Hamdi ✓@Eng_Hemdi16 Sep

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 →

Abdullah Hamdi ✓@Eng_Hemdi16 Sep

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 →

Abdullah Hamdi ✓@Eng_Hemdi13 Sep

Silicone Valley chief philosopher @naval caught this ! https://t.co/P38Zk1ggw6

2.8K views · 4 likes · 0 reposts · 0 replies Open on X →

Abdullah Hamdi ✓@Eng_Hemdi10 Sep

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 →

Abdullah Hamdi ✓@Eng_Hemdi9 Sep

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 →

Abdullah Hamdi ✓@Eng_Hemdi6 Sep

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 →

Abdullah Hamdi ✓@Eng_Hemdi3 Aug

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 →

Rispetto ad account della stessa dimensione

7 post degli ultimi 90 giorni, accanto alla fascia di 10K–100K follower. arriva a molti, ma pochi di loro reagiscono.

Visualizzazioni mediane2 777questo account990mediana per 10K–100K

Copertura, %27.30%questo account3.66%mediana per 10K–100K

Interazione, %0.20%questo account1.61%mediana per 10K–100K

Metrica	Questo account	Mediana per 10K–100K	Rapporto
Visualizzazioni mediane per post	2 777	990	2.81×
Copertura (visualizzazioni ÷ follower)	27.30%	3.66%	7.46×
Tasso di interazione	0.20%	1.61%	0.13×

Altri account di questa fascia → Confronta con un altro account → Come sono costruiti questi parametri →

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 1.61%.

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.