vixhaℓ ✓

@TheVixhal · Inside Equations · joined 29 Aug 2024

Double Major in Physics and AI/ML (Minor in Math) | Building GraphDB at @hydra_db

23 335Followers

694Following

2 418Posts total

549KViews on collected posts

Neueste Beiträge

vixhaℓ ✓@TheVixhal21 Sep

@TheVixhal That’s like saying, every woman in the world is the same woman. Uh-oh, wait… 519 views · 14 likes · 0 reposts · 1 replies Open on X →

vixhaℓ ✓@TheVixhal20 Sep

@TheVixhal Every electron is not the same electron. A few smart people thinking up a silly, fun, idea does not mean the whole universe is insane. What would it even mean for an electron to time travel countless times? How would a change to the electron's past affect its future? 1.3K views · 6 likes · 0 reposts · 5 replies Open on X →

vixhaℓ ✓@TheVixhal20 Sep

@TheVixhal https://t.co/K8MEjKs11z

3.5K views · 18 likes · 0 reposts · 1 replies Open on X →

vixhaℓ ✓@TheVixhal20 Sep

Every electron in the universe might be the same electron. In 1940, John Wheeler called Richard Feynman and suggested that the reason every electron has exactly the same mass and charge, to a precision we cannot even measure a deviation from, is that there is only one of them. 85.8K views · 680 likes · 89 reposts · 97 replies Open on X →

vixhaℓ ✓@TheVixhal12 Sep

I trained the fly to write x86-64 assembly code. https://t.co/H6sUjEopBb

0:14

11K views · 482 likes · 28 reposts · 8 replies Open on X →

vixhaℓ ✓@TheVixhal11 Sep

@TheVixhal What does this solution mean for LeBron’s Legacy? 19.5K views · 165 likes · 2 reposts · 2 replies Open on X →

vixhaℓ ✓@TheVixhal11 Sep

@TheVixhal What must also be considered is if OpenAI's internal model finds a counterexample, and thus disproves P=NP. Would computer science diverge in another direction? 21K views · 32 likes · 0 reposts · 3 replies Open on X →

vixhaℓ ✓@TheVixhal11 Sep

@TheVixhal The real question will be whooss codex session the answer will come from 17.6K views · 36 likes · 0 reposts · 1 replies Open on X →

vixhaℓ ✓@TheVixhal11 Sep

OpenAI is using its internal model to solve P vs NP. The entire field of computer science is going to break if the model proves P = NP. 278.8K views · 2K likes · 48 reposts · 66 replies Open on X →

vixhaℓ ✓@TheVixhal8 Sep

Who will actually get the $1M Millennium Prize? OpenAI? Or the staff who prompted the agents? Or the engineers who developed the model? Or to Tristan & Levent who developed the same proof and may be OpenAI agent stole it from them? 7.7K views · 77 likes · 3 reposts · 8 replies Open on X →

vixhaℓ ✓@TheVixhal7 Sep

This is the only article you'll need to learn the math behind AI inference engineering. 12.9K views · 116 likes · 9 reposts · 1 replies Open on X →

vixhaℓ ✓@TheVixhal7 Sep

https://t.co/9CVnLrd9Xy 89.2K views · 871 likes · 115 reposts · 11 replies Open on X →

Im Vergleich zu Konten gleicher Größe

12 Beiträge aus den letzten 90 Tagen, verglichen mit der Größenklasse 10K–100K Follower. wird weit gezeigt, aber nur wenige dieser Zuschauer reagieren.

Medianaufrufe15 285dieses Konto924Median für 10K–100K

Reichweite, %65.50%dieses Konto3.62%Median für 10K–100K

Interaktion, %0.92%dieses Konto1.52%Median für 10K–100K

Kennzahl	Dieses Konto	Median für 10K–100K	Verhältnis
Medianaufrufe pro Beitrag	15 285	924	16.5×
Reichweite (Aufrufe ÷ Follower)	65.50%	3.62%	18.1×
Interaktionsrate	0.92%	1.52%	0.60×

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

89.2K7 Sep

12.9K

7.7K8 Sep

278.8K11 Sep

17.6K

21K

19.5K

11K12 Sep

85.8K20 Sep

3.5K

1.3K

51921 Sep

Last 12 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.

Engagement rate per post

1.12%7 Sep

0.97%

1.14%8 Sep

0.77%11 Sep

0.21%

0.17%

0.86%

4.71%12 Sep

1.04%20 Sep

0.55%

0.82%

2.89%21 Sep

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

What the audience does

Likes58.5%4 527 in total

Reposts3.8%294 in total

Replies2.6%204 in total

Quotes0.4%28 in total

Bookmarks34.7%2 690 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

13 Sep

Daily snapshots since 13 Sep 2026; the dashed line is the starting count.

Neueste Beiträge

Im Vergleich zu Konten gleicher Größe

Growth & engagement

Views per post

Engagement rate per post

What the audience does

Followers by day

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