Mehdi (e/λ) ✓

@BetterCallMedhi

manufacturing the future

102 777Followers

1 998Following

43 320Posts total

11.1MViews on collected posts

Derniers posts

Mehdi (e/λ) ✓@BetterCallMedhi12 Sep

@BetterCallMedhi j’ai l’impression. je me souviens moins des choses quand j’apprends avec l’IA alors que quand je fais des recherche wikipedia ca reste des année dans mon cerveau 556 views · 16 likes · 0 reposts · 1 replies Open on X →

Mehdi (e/λ) ✓@BetterCallMedhi12 Sep

comprendre ce décalage historique est la condition préalable pour transformer ce privilège inouï au profit de l'audace et de la création 3.8K views · 65 likes · 10 reposts · 2 replies Open on X →

Mehdi (e/λ) ✓@BetterCallMedhi12 Sep

je pense que les étudiants à l’ère de l’IA ne mesurent vraiment pas l'immensité du miracle quotidien dans lequel ils évoluent là où les générations précédentes devaient traverser l'austérité des bibliothèques et des nuits d'isolement pour extraire une simple parcelle de savoir, 36.3K views · 852 likes · 101 reposts · 92 replies Open on X →

Mehdi (e/λ) ✓@BetterCallMedhi9 Sep

@BetterCallMedhi @sama rien compris mais tant que openai se fait tabasser ça me va 214.5K views · 5.8K likes · 61 reposts · 31 replies Open on X →

Mehdi (e/λ) ✓@BetterCallMedhi9 Sep

when mathematical reality itself gets reduced to synthetic token production swallowed by closed infrastructure we transition from open academic inquiry to technological feudalism where silicon lords hold the keys to fundamental physics while selling back the illusion of progress 252.9K views · 2K likes · 127 reposts · 45 replies Open on X →

Mehdi (e/λ) ✓@BetterCallMedhi9 Sep

the most dangerous aspect of this maneuver is not the mathematical exaggeration but the corporate enclosure of scientific discovery by keeping these frontier systems locked behind outcome based pricing licensing barriers & proprietary API walls openai seeks to privatize the very 290.7K views · 2K likes · 121 reposts · 13 replies Open on X →

Mehdi (e/λ) ✓@BetterCallMedhi9 Sep

just as automated provers tackled competitive mathematics years ago scaling agentic coordination to consume entire data centers does not solve the fundamental crisis of machine reasoning true mathematical discovery demands paradigm shifts conceptual invention & deep physical 333.7K views · 1.9K likes · 63 reposts · 9 replies Open on X →

Mehdi (e/λ) ✓@BetterCallMedhi9 Sep

behind the theatrical PR claim lies the crude reality of brute force test time compute scaling burning hundreds of billions of synthetic tokens across a massive inference flux to coordinate 10000ephemeral agents running recursive verification loops is not cognitive illumination 400K views · 3.2K likes · 112 reposts · 22 replies Open on X →

Mehdi (e/λ) ✓@BetterCallMedhi8 Sep

go fuck yourself @sama claiming that you solved navier stokes because 10000 agents ran in circles for 88hours on a multimillion dollar gpu cluster to formalize in lean a blowup case under controlled external forcing is pure scientific vulgarity the clay mathematics institute 9.6M views · 65.3K likes · 8.1K reposts · 2.3K replies Open on X →

Face aux comptes de taille comparable

9 posts des 90 derniers jours, à côté de la tranche de 100K–1M abonnés. diffusé à plus de monde que les comptes de taille comparable.

Vues médianes252 894ce compte6 463médiane pour 100K–1M

Portée, %246.06%ce compte1.71%médiane pour 100K–1M

Engagement, %0.86%ce compte0.98%médiane pour 100K–1M

Indicateur	Ce compte	Médiane pour 100K–1M	Rapport
Vues médianes par post	252 894	6 463	39.1×
Portée (vues ÷ abonnés)	2.5× audience	1.71%	144×
Taux d'engagement	0.86%	0.98%	0.88×

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

9.6M8 Sep

400K9 Sep

333.7K

290.7K

252.9K

214.5K

36.3K12 Sep

3.8K

556

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

0.80%8 Sep

0.84%9 Sep

0.58%

0.73%

0.86%

2.74%

2.88%12 Sep

2.00%

3.06%

Reactions — likes, reposts, replies and quotes — divided by views. Median for 100K–1M accounts is 0.98%.

What the audience does

Likes70.8%81 082 in total

Reposts7.6%8 725 in total

Replies2.2%2 481 in total

Quotes1.2%1 416 in total

Bookmarks18.1%20 743 in total

Share of every reaction we collected for this account. Replies mean argument, reposts mean endorsement, bookmarks mean the post was worth keeping.

Followers by day

10 Sep

Daily snapshots since 10 Sep 2026; the dashed line is the starting count.

Derniers posts

Face aux comptes de taille comparable

Growth & engagement

Views per post

Engagement rate per post

What the audience does

Followers by day

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