Mario Klingemann💧💦 ✓

@quasimondo · Munich, Germany · joined 29 Apr 2007

Artist, Neurographer, Automancer, Purveyor of Systems, Data Dumpster Diver, Information Recycler

57 446Followers

2 336Following

43 252Posts total

9.5KViews on collected posts

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Mario Klingemann💧💦 ✓@quasimondo1 Sep

./spiral in the wild. https://t.co/JOeu6qucWH

0:07

2K views · 31 likes · 2 reposts · 4 replies Open on X →

Mario Klingemann💧💦 ✓@quasimondo16 Aug

@quasimondo My friend collects trash washed up on the shore of the Ohio River and makes installations with them. He finds everything. Here’s an onsite lighter installation https://t.co/B1h44gzK9I 78 views · 1 likes · 0 reposts · 2 replies Open on X →

Mario Klingemann💧💦 ✓@quasimondo16 Aug

@quasimondo and i just wonder why so many tops are missing? that metal part...🤔 115 views · 1 likes · 0 reposts · 1 replies Open on X →

Mario Klingemann💧💦 ✓@quasimondo16 Aug

@quasimondo I was going to ask - how come Mario is on vacation and there are no beachcombing photos? 😘 257 views · 2 likes · 0 reposts · 1 replies Open on X →

Mario Klingemann💧💦 ✓@quasimondo16 Aug

Lighters found on the beach. I found a like-minded soul - only that he must have been doing this for years if not decades. https://t.co/SB0gUYHAZZ

2.9K views · 51 likes · 2 reposts · 8 replies Open on X →

Mario Klingemann💧💦 ✓@quasimondo11 Aug

@quasimondo The meta is to have a meta-harness for managing and delegating work between accounts. Truly absurd and no doubt temporary 47 views · 0 likes · 0 reposts · 0 replies Open on X →

Mario Klingemann💧💦 ✓@quasimondo11 Aug

Dang, probably first of many, especially once the 50% extra usage promo runs out in a few days. https://t.co/lvVN5GC78D

2.1K views · 6 likes · 1 reposts · 1 replies Open on X →

Mario Klingemann💧💦 ✓@quasimondo11 Aug

A lot of people misunderstand how text watermarking in LLMs works - modern techniques don't use hidden characters or invisible whitespace. The methods vary, but most of them work on the statistics of the next-token predictor. https://t.co/u2kpPD8jse

2K views · 29 likes · 4 reposts · 3 replies Open on X →

Mario Klingemann💧💦 ✓@quasimondo21 Sep 2016

Peter sees the computer. "But the machine only creates what humans have taught it to," says Peter. "So do you," says Mummy. https://t.co/cN5dPL3aPl

0 views · 3.6K likes · 1.1K reposts · 113 replies Open on X →

เทียบกับบัญชีขนาดเดียวกัน

8 โพสต์จาก 90 วันที่ผ่านมา เทียบกับช่วง 10K–100K ผู้ติดตาม เข้าถึงคนน้อยกว่าบัญชีขนาดเดียวกัน.

ยอดดูมัธยฐาน1 106บัญชีนี้946ค่ามัธยฐานของ 10K–100K

การเข้าถึง, %1.93%บัญชีนี้3.31%ค่ามัธยฐานของ 10K–100K

การมีส่วนร่วม, %1.75%บัญชีนี้1.89%ค่ามัธยฐานของ 10K–100K

ตัวชี้วัด	บัญชีนี้	ค่ามัธยฐานของ 10K–100K	อัตราส่วน
ยอดดูมัธยฐานต่อโพสต์	1 106	946	1.17×
การเข้าถึง (ยอดดู ÷ ผู้ติดตาม)	1.93%	3.31%	0.58×
อัตราการมีส่วนร่วม	1.75%	1.89%	0.92×

บัญชีอื่นในช่วงนี้ → เปรียบเทียบกับบัญชีอื่น → ค่าอ้างอิงเหล่านี้คำนวณอย่างไร →

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

2K11 Aug

2.1K

2.9K16 Aug

257

115

2K1 Sep

Last 8 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.

Engagement rate per post

1.76%11 Aug

0.38%

0.00%

2.12%16 Aug

1.17%

1.74%

3.85%

1.89%1 Sep

Reactions — likes, reposts, replies and quotes — divided by views. Median for 10K–100K accounts is 1.89%.

What the audience does

Likes75.2%121 in total

Reposts5.6%9 in total

Replies12.4%20 in total

Bookmarks6.8%11 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.

โพสต์ล่าสุด

เทียบกับบัญชีขนาดเดียวกัน

Growth & engagement

Views per post

Engagement rate per post

What the audience does

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