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Eric Jang ✓

@ericjang11 · joined 24 Jan 2014

142 499Followers
4 175Following
8 790Posts total
414.1KViews on collected posts

Ultimi post

An opportunity of a lifetime - highly encourage applying to learn from one of the greatest! 15.1K views · 19 likes · 0 reposts · 1 replies Open on X →
Unitree G1 Actuator Teardown: How This Humanoid Robot Moves https://t.co/45vIJTXp6L via @YouTube 16.6K views · 107 likes · 5 reposts · 8 replies Open on X →
Predictions on where robotics is going in the next few years https://t.co/y5V4oUAF6f 52.4K views · 479 likes · 65 reposts · 53 replies Open on X →
Astoundingly beautiful 9.3K views · 59 likes · 2 reposts · 0 replies Open on X →
[x] automated math machine [x] proof / disproof of navier stokes conjecture [ ] recursive self improver 36.1K views · 792 likes · 29 reposts · 32 replies Open on X →
We show the formation of fractal basins by training a loop transformer to solve integer linear regression. A bifurcation occurs mid-training: the transformer figures out how to solve unseen examples, but fractal basins appear. https://t.co/4bAagUaa3D
17.9K views · 157 likes · 8 reposts · 4 replies Open on X →
@ericjang11 Indeed 1.8K views · 3 likes · 0 reposts · 0 replies Open on X →
@ericjang11 Once AI excels at math, progress stops being linear. Physics, engineering, biology, and AI research all start compounding in ways we have never experienced before. 1.1K views · 3 likes · 0 reposts · 0 replies Open on X →
@ericjang11 probably even end of q3 559 views · 2 likes · 0 reposts · 0 replies Open on X →
[x] automated math machine [ ] proof / disproof of navier stokes conjecture [ ] recursive self improver Prediction: all this and more will be accomplished by EOY 2026 73.2K views · 350 likes · 16 reposts · 16 replies Open on X →
1/ Ten months ago, I was ecstatic that AI could win IMO gold. Today, that excitement feels quaint: an internal @OpenAI model has refuted Erdos’s unit distance conjecture—a research result that one could recommend “acceptance without any hesitation” to the Annals of Mathematics. 190K views · 786 likes · 53 reposts · 12 replies Open on X →

Rispetto ad account della stessa dimensione

6 post degli ultimi 90 giorni, accanto alla fascia di 100K–1M follower. arriva a più persone rispetto ad account della stessa dimensione.

Visualizzazioni mediane17 256questo account5 983mediana per 100K–1M
Copertura, %12.11%questo account1.49%mediana per 100K–1M
Interazione, %0.85%questo account0.93%mediana per 100K–1M
MetricaQuesto accountMediana per 100K–1MRapporto
Visualizzazioni mediane per post17 2565 9832.88×
Copertura (visualizzazioni ÷ follower)12.11%1.49%8.13×
Tasso di interazione0.85%0.93%0.92×

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

190K20 May
73.2K
559
1.1K
1.8K
17.9K8 Sep
36.1K
9.3K9 Sep
52.4K11 Sep
16.6K12 Sep
15.1K15 Sep

Last 11 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.

Engagement rate per post

0.45%20 May
0.53%
0.36%
0.28%
0.16%
0.97%8 Sep
2.37%
0.65%9 Sep
1.16%11 Sep
0.73%12 Sep
0.13%15 Sep

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

What the audience does

Likes65.1%2 757 in total
Reposts4.2%178 in total
Replies3.0%126 in total
Quotes0.8%33 in total
Bookmarks26.9%1 138 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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