B ✓

@QuantumTumbler · California, USA · joined 24 Jan 2012

Independent research across physics, AI, and complex systems.

38 507Followers

888Following

116 978Posts total

9.7KViews on collected posts

Postingan terbaru

B ✓@QuantumTumbler24 Sep

One step closer to WALL-E 817 views · 5 likes · 0 reposts · 0 replies Open on X →

B ✓@QuantumTumbler24 Sep

The big difference between future agents won’t simply be benchmark intelligence. Two agents using essentially the same underlying model could become dramatically different operational systems depending on memory quality, correction history, permissions, evidence discipline, 847 views · 3 likes · 0 reposts · 1 replies Open on X →

B ✓@QuantumTumbler24 Sep

epistemic language ≠ epistemic discipline 788 views · 4 likes · 0 reposts · 0 replies Open on X →

B ✓@QuantumTumbler24 Sep

I think we’re starting to measure AI the wrong way. Tokens are the spend. The real return is the useful work completed and the human attention you didn’t have to spend doing or supervising it. That’s the part agents change. Answering a question is one thing. Handing an agent 948 views · 10 likes · 0 reposts · 1 replies Open on X →

B ✓@QuantumTumbler23 Sep

Muse gets more interesting when you stop asking what it can answer and start asking what parts of your life are expensive only because a human has to remember, wait, search, compare, follow up, or keep trying. I put together a practical handbook based on Meta’s documentation, ht

1.2K views · 4 likes · 0 reposts · 1 replies Open on X →

B ✓@QuantumTumbler5 Sep

The interesting part isn’t the 1000x headline. It’s whether the physical substrate can keep its advantage once the whole inference stack is counted. Right now the bottleneck is still the FPGA. If that gets pulled into the same thermodynamic hardware without losing accuracy or 833 views · 2 likes · 0 reposts · 0 replies Open on X →

B ✓@QuantumTumbler5 Sep

I’m starting early ☕️🎃 564 views · 6 likes · 3 reposts · 1 replies Open on X →

B ✓@QuantumTumbler5 Sep

Once AI becomes part of the permanent national/industrial capability stack, the startup mythology matters a lot less than the institutions, hardware, talent pipelines, procurement, and physical systems underneath it. 677 views · 11 likes · 0 reposts · 1 replies Open on X →

B ✓@QuantumTumbler5 Sep

Billions into data centers, power, chips, cooling, networking, inference stacks, all so the machine can sometimes produce a beautifully formatted wrong answer with fake confidence. 637 views · 9 likes · 2 reposts · 0 replies Open on X →

B ✓@QuantumTumbler28 Aug

@QuantumTumbler 👏 Like with many, It 'd never crossed my mind this question until I was required to pass a driving test on a manual car last month. Personally I love the feeling of having more control over the machine, but mastering half clutch and making full stop without the b 17 views · 2 likes · 0 reposts · 0 replies Open on X →

B ✓@QuantumTumbler28 Aug

@QuantumTumbler Just sent me down a whole side note lol I’ve been wondering about self driving vehicles as a way for someone who is unable to get a license, to have the same independence as a licensed driver… But they still can’t be a driver, they can only be a passenger…. It s 73 views · 1 likes · 0 reposts · 1 replies Open on X →

B ✓@QuantumTumbler27 Aug

@QuantumTumbler My first car that I bought was a standard Subaru .. I drove it off the lot bouncing like a bronkin horse 😂 I bet my mom was scared .. I know I would have been 😝 46 views · 1 likes · 0 reposts · 1 replies Open on X →

B ✓@QuantumTumbler27 Aug

What Does a Driver’s License Mean When the Car Drives? https://t.co/ERJbxWbH18 2.2K views · 19 likes · 1 reposts · 3 replies Open on X →

Dibandingkan akun berukuran sama

13 postingan dari 90 hari terakhir, dibandingkan dengan rentang 10K–100K pengikut. menjangkau lebih sedikit orang dibanding akun seukurannya.

Median tayangan788akun ini924median untuk 10K–100K

Jangkauan, %2.05%akun ini3.62%median untuk 10K–100K

Interaksi, %1.16%akun ini1.52%median untuk 10K–100K

Metrik	Akun ini	Median untuk 10K–100K	Rasio
Median tayangan per postingan	788	924	0.85×
Jangkauan (tayangan ÷ pengikut)	2.05%	3.62%	0.57×
Tingkat interaksi	1.16%	1.52%	0.76×

Akun lain pada rentang ini → Bandingkan dengan akun lain → Bagaimana tolok ukur ini disusun →

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

2.2K27 Aug

7328 Aug

6375 Sep

677

564

833

1.2K23 Sep

94824 Sep

788

847

817

Last 13 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.

Engagement rate per post

1.15%27 Aug

4.35%

2.74%28 Aug

11.76%

1.73%5 Sep

1.77%

0.24%

0.40%23 Sep

1.16%24 Sep

0.51%

0.47%

0.61%

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

What the audience does

Likes67.5%77 in total

Reposts5.3%6 in total

Replies8.8%10 in total

Quotes1.8%2 in total

Bookmarks16.7%19 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.

Postingan terbaru

Dibandingkan akun berukuran sama

Growth & engagement

Views per post

Engagement rate per post

What the audience does

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