Ben Sigman ✓

@bensig · Santa Monica, CA · joined 30 Sep 2008

AI agent orchestrator, systems engineer, author, and Bitcoin advocate

45 703Followers

2 669Following

9 857Posts total

7.7MViews on collected posts

Posts recentes

Ben Sigman ✓@bensig4 Sep

I hope the new Astra is good. I sent ChatGPT this photo of this rock the other day and it told me that it was a snake. https://t.co/9gonQFJO6G 1.4K views · 2 likes · 0 reposts · 0 replies Open on X →

Ben Sigman ✓@bensig3 Sep

You know at first I thought this professor is kind of giving up… but then I thought, well, it’s actually kind of genius - it’s a test of their critical thinking: “can you think critically enough about an opportunity to just take a B?” …but now I am sure he really missed an 3.6K views · 7 likes · 0 reposts · 2 replies Open on X →

Ben Sigman ✓@bensig2 Sep

@bensig the socratic mode sells it for me 43 views · 1 likes · 0 reposts · 0 replies Open on X →

Ben Sigman ✓@bensig2 Sep

@bensig this is good. im impressed 151 views · 2 likes · 0 reposts · 0 replies Open on X →

Ben Sigman ✓@bensig2 Sep

@bensig very cool 69 views · 1 likes · 0 reposts · 0 replies Open on X →

Ben Sigman ✓@bensig2 Sep

Yes, the name sounds like cheating. It's the opposite - and it was built by students, not by people guessing at what students need. https://t.co/6oyGGer2df —> upload your syllabus, readings, homework and test schedule. It maps what your class actually tests, then drills you on 1.3M views · 187 likes · 24 reposts · 19 replies Open on X →

Ben Sigman ✓@bensig2 Sep

Gen Z will not be able to think critically at all bc of AI 454.5K views · 1.7K likes · 4 reposts · 55 replies Open on X →

Ben Sigman ✓@bensig2 Sep

I would run this class really differently. Every class has 3 parts: 1. a story told by myself or a pre-chosen student 2. Each student writes a handwritten argument about it. 3. Swap paper lottery another student and critique - poke holes in the arguments by hand. Then run 529.8K views · 1.5K likes · 13 reposts · 14 replies Open on X →

Ben Sigman ✓@bensig2 Sep

@bensig Take the deal - the professor will over index on the students that don’t, and be overly aggressive in the use of AI detection tools - which are nearly guaranteed to produce false positives under that pattern. 440.8K views · 4.9K likes · 3 reposts · 12 replies Open on X →

Ben Sigman ✓@bensig2 Sep

A professor at Colorado University told his class this week: “If you plan to use AI in this course, tell me now. I’ll give you a B. You don’t have to attend, take a test, or do any work. If I catch you using it and you didn’t take the deal, you get an F.” The class is called 5M views · 60.6K likes · 968 reposts · 551 replies Open on X →

Ben Sigman ✓@bensig27 Aug

The 2718 bitcoin fund: 126 BTC - up 15 BTC this month 4% LTV - down 2% this month Pays you 10% a year and doesn't sell Bitcoin @dotkrueger https://t.co/ybAK5pvX5O 5.7K views · 24 likes · 3 reposts · 4 replies Open on X →

Em comparação com contas do mesmo porte

11 posts dos últimos 90 dias, ao lado da faixa de 10K–100K seguidores. aparece para muita gente, mas poucos desses espectadores reagem.

Mediana de visualizações5 676esta conta924mediana para 10K–100K

Alcance, %12.42%esta conta3.62%mediana para 10K–100K

Engajamento, %0.55%esta conta1.52%mediana para 10K–100K

Métrica	Esta conta	Mediana para 10K–100K	Proporção
Mediana de visualizações por post	5 676	924	6.14×
Alcance (visualizações ÷ seguidores)	12.42%	3.62%	3.43×
Taxa de engajamento	0.55%	1.52%	0.36×

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

5.7K27 Aug

5M2 Sep

440.8K

529.8K

454.5K

1.3M

151

3.6K3 Sep

1.4K4 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

0.55%27 Aug

1.24%2 Sep

1.11%

0.29%

0.38%

0.02%

1.45%

1.32%

2.33%

0.25%3 Sep

0.14%4 Sep

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

What the audience does

Likes93.3%68 905 in total

Reposts1.4%1 015 in total

Replies0.9%657 in total

Quotes0.2%125 in total

Bookmarks4.3%3 182 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.

Posts recentes

Em comparação com contas do mesmo porte

Growth & engagement

Views per post

Engagement rate per post

What the audience does

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