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@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

Posts recentes

One step closer to WALL-E 817 views · 5 likes · 0 reposts · 0 replies Open on X →
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 →
epistemic language ≠ epistemic discipline 788 views · 4 likes · 0 reposts · 0 replies Open on X →
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 →
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 →
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 →
I’m starting early ☕️🎃 564 views · 6 likes · 3 reposts · 1 replies Open on X →
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 →
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 →
@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 →
@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 →
@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 →
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 →

Em comparação com contas do mesmo porte

13 posts dos últimos 90 dias, ao lado da faixa de 10K–100K seguidores. alcança menos gente do que contas do mesmo porte.

Mediana de visualizações788esta conta924mediana para 10K–100K
Alcance, %2.05%esta conta3.62%mediana para 10K–100K
Engajamento, %1.16%esta conta1.52%mediana para 10K–100K
MétricaEsta contaMediana para 10K–100KProporção
Mediana de visualizações por post7889240.85×
Alcance (visualizações ÷ seguidores)2.05%3.62%0.57×
Taxa de engajamento1.16%1.52%0.76×

Outras contas desta faixa →   Comparar com outra conta →   Como estas referências são construídas →

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
46
7328 Aug
17
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%
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.

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