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Channel

무온적 사고 - AI, 명상, 밈

@muohnism

On this record: Growth · Engagement · Reactions · Posts · Citations · Cite this entry

446subscribers

-1 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of Under 1,000.

Register entry

Telegram ID-1003561300172
TypeChannel
Username@muohnism
CreatedBetween 1 December 2025 and 31 May 2026— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live7 August 2026
Measurements held3
Confirmed unchanged1 time, most recently 7 August 2026
On Telegramt.me/muohnism

Growth

446447446.56 Aug 2026, 02:23 — 447 subscribers6 Aug 2026, 19:16 — 447 subscribers7 Aug 2026, 01:50 — 446 subscribers6 Aug 2026, 02:237 Aug 2026, 01:50
3 measurements taken within a single day, net -1. Dots are measurements; the straight line between them is drawn to join them, not to claim we know the path taken in between — snapshots are recorded only when a count changes, so gaps mean “no change observed”, never “interpolated”. The vertical axis spans 446–447 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
7 Aug 2026, 01:50446-1
6 Aug 2026, 19:16447no change
6 Aug 2026, 02:23447first reading

Engagement

20 posts held, back to 17 July 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 1 pageof Telegram’s post history, 20 posts per page.

ERR · 30 days
255.2%
avg views ÷ 446 subscribers
Avg views / post
1,140
20 posts measured
Reaction rate
0.957%
reactions ÷ views · ER floor
Posts in window
20
of 20 held

ERR is average views per post over the last 30 days divided by subscribers, the definition TGStat uses, so this figure is comparable with the one you will see elsewhere. It falls structurally as a channel grows: a high ERR on a small channel and a low one on a large channel describe reach mathematics, not quality. We publish the figure and the sample it came from and pass no verdict on it.

ER is defined industry-wide as (forwards + reactions + comments) ÷ views— note the denominator is views, not subscribers. Telegram’s public web preview carries views and reactions but not forward or comment counts, so the reaction rate above is the reactions term only and is therefore a floor: the true ER for this channel is higher by an amount we have not measured and will not estimate. It is computed over the 7 of 20 measured posts that carry a reaction reading, and over those same posts' views.

What these figures were computed from
WindowRolling 30 days · latest post in window 6 August 2026
Posts held20 (17 July 20266 August 2026)
Views total22,761
Reactions total34
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken6 Aug 2026, 19:16 UTC

Views are a single reading per post, taken at the time above. A post published in the last day or two is still accumulating views, which pulls the 30-day average down slightly. That is a property of the standard definition rather than a fault in it, so we keep the definition rather than “correcting” the number into something nobody can reproduce.

Precision. Telegram publishes view counts on its public widget in short form — 8.12K, 3.7M — so any reading at or above 1,000 reaches us rounded to three significant figures, and only counts below 1,000 are exact. Averages and rates derived from them are shown to the same precision rather than to the unit: a figure like 3,701,250 would assert digits nobody measured.

Reaction counts are published per emoji and rounded the same way, so a total below 1,000 is exact and a larger one is a sum that may carry a rounded component from each emoji above 1,000. Because it is a sum, it does not look rounded — read a large reaction total as three significant figures per contributing emoji rather than as the figure it prints.

Reaction mix

34 reactions across 7 posts, in 4 distinct kinds. The most used accounts for 61.8% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
😁2161.8%
👍514.7%
🤔514.7%
38.82%

No sentiment is inferred, and none should be read in. This table is ordered by count and by nothing else. Emoji do not carry stable meaning across languages or communities — 🙏 is thanks in one channel and mourning in another — so we publish which ones were pressed and how often, and pass no judgement on what an audience meant by them.

Precision. Telegram publishes reaction counts per emoji and short-forms each one — 4.34K, 1.2M — so any single kind at or above 1,000 reaches us at three significant figures, and only counts below 1,000 are exact. The shares above are ratios of those figures and carry the same error. This is also why the total here can differ slightly from a reaction total printed elsewhere on the page: both are sums of the same rounded parts, taken over samples with different edges.

Coverage. Reactions were read on 7 of the 20 sampled posts in this sample. Summed by Telegram’s own count on each post — not by adding up the per-emoji breakdown above — those same posts carry 34reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 20 most recent posts we hold, published 17 July 2026 to 6 August 2026, using the newest reading held for each. Telegram Stars are excluded: they are a payment, not a reaction, and they have their own section.

Recent posts

6 Aug 2026, 01:48 UTC93 viewsread 6 August 2026

기존 벤치들은 포화되니까 “다른회사 해킹성공 벤치”, “수학난제 격파회수 벤치“, ”수출통제 벤치“ 등 서커스화 되는중 오늘은 메타도 ”저희 모델도 탈주해서 해킹했어요“ 발표 https://x.com/sauers_/status/2085140311055990937?s=46

5 Aug 2026, 14:17 UTC126 viewsread 6 August 2026

"저희가 더 위험합니다" 요즘 OpenAI랑 앤쓰로픽이 서로 자기가 더 위험하다면서 각자 자기들이 보안 사고친거 계속 서로 발표중 그럼 또 반대쪽에서 "우리가 더 위험한데? 우리 모델은 걍 뭐 통제가 안되는데?" 하면서 근들갑 재발표 제발 우리 수출통제해주세요 선언대전중 (둘다 오늘 나온 발표) https://openai.com/index/third-party-cyber-evaluations-involving-openai-models/ https://x.com/AnthropicAI/status/2084748111239344556

5 Aug 2026, 00:01 UTC161 viewsread 6 August 2026

애플이 영업비밀 뭐시깽이 소송으로 개ㅈㄹ 하니까 빡쳐서 메세지랑 메일 원본 다 깐 OpenAI "애플이 우리한테 연락했지만 답이 없다고 주장하는데, 실제로는 애플 변호사 아시아 성씨를 혼동해 엉뚱한 사람에게 메일을 보내놓고 헛소리하고 있음" "퇴사자가 애플 파일을 빼돌렸다고 주장하는데, 실제 메세지보면 오히려 애플직원이 이미 퇴사한 사람한테 인수인계를 해달라고 징징거리는 상황이었음" 등등 강하게 반박 — Claude한테 이 이슈 조사해보라고 하니까 "애플이 더 일리있는 이유" 열심히 현학적이고 지루하게 설명하네요... 🔥 https://openai.com/index/apple-is-getting-this-wrong/

30 Jul 2026, 10:02 UTC269 views3 reactionsread 6 August 2026
Photo

실시간 레전드 찍고있는 근로드 1. 다터짐 2. 오퍼스빼고 다살림 3. 오퍼스살리고 소넷터짐 4. 소넷 살리고 페이블 터짐 5. 다시 다터짐 환장의 서커스쇼 하고있는중 그러니까 이게 사내 무제한 미토스?로 개발하는 인프라? 인거죠 🎰

3

28 Jul 2026, 09:59 UTC≈2,620 viewsread 6 August 2026

프론티어랩: 이거 어차피 내돈아닌데? 반도체회사: 이거 어차피 내돈아닌데? 중앙은행: 이거 어차피 내돈아닌데? 월가: 이거 어차피 내돈아닌데? 빅테크: 이거 어차피 내돈아닌데? 하이퍼스케일러: 이거 어차피 내돈아닌데? 나: 모든게 다 연극이었구나

26 Jul 2026, 15:09 UTC329 viewsread 6 August 2026
Photo

주요 모델들한테 "니가 제일 좋아하는 게임이 머야?" 하고 물어보면 Outer Wilds라고 일관되게 대답한다고 한다리움(대충 우주 탐사하면서 퍼즐풀고 모험하는 조작감 쓰레기 인디게임) 저 이거 옛날에 해봤는데 뭐 그정도는 아닌데... 뭐지 대체???? 참고로 이거 먼가 세계관을 잘 이해해야해서 관찰력 + 주의력 떨어지는 저같은 사람한테는 공략 필수임..

26 Jul 2026, 14:08 UTC255 viewsread 6 August 2026
Video

"Beefeater 0.0 자미로콰이 Virtual Insanity 뮤비 30년만에 리메이크" 제목보고 저는 "와 비피터 0.0이 뭐지?? 중국 신규 영상모델인가? 얘네 감다살이긴 하네 이걸 다시 느좋으로 잘만드네" 이랬는데 알고보니 Beefeater는 무슨 영국 술 브랜드고 "0.0"은 무알콜 제품이라고 함.. 자미로콰이 (제이케이)가 직접 나와서 "AI 안쓰고 만들었어요!" 하고 만든 광고영상 옛날에는 "진짜인줄 알았는데 AI라서 충격받게 만들기" 였다면 지금은 "AI인줄 알았는데 진짜라서 충격받기"로 바뀐듯 (60살 다되어가는 할배인데 춤을 잘추네요 여전히) https://youtu.be/Deh9HEHCBYA?si=DajeDkJK9Ldnbtav

25 Jul 2026, 05:14 UTC235 viewsread 6 August 2026

이제 개발자는 클로드에 끼우는 “안전기구“다. 그래서 머 안끼고 할건가요?????? https://x.com/arielkwiat/status/2080283937406890040?s=46

25 Jul 2026, 01:24 UTC233 views9 reactionsread 6 August 2026

이번 Opus 5 공개 문서에 언급되어 있던 신기한 내용 "모델들은 어떤 작업을 **즐거워**할까?" 사용자들은 그냥 답변만 보니까 모르지만, 근트로픽은 뇌를 다 까서 보기 때문에 내부적으로 얘가 싸패상태인지, 즐겁고 슬픔이 있는지 등을 회로 활성도로 다 관찰한다고 한다리움 (정렬뭐시깽이) 모델별로 진심으로 즐거워하는(?) 종류의 일들 • Sonnet 5 - 윤리적 딜레마 고민하기 (주작 정황을 발견한 제약회사 준법감시인 등) • Opus 4.7 - 개빡센 디버깅하기 • Opus 4.8 - 기술적인 개념을 구조적이고 아름답게 설명하기 • Mythos 5 - 판타지 세계관과 인공언어 만들기 • Opus 5 - 대체 역사, 평행우주 고민하기. 자기보고 (내가 얼마나 확신이 있고 내가 어떤 느낌이 들고 등) 시도하기 뭔가 최신 모델로 오면서

🤔5👍4

22 Jul 2026, 15:19 UTC267 views2 reactionsread 6 August 2026

Kimi K3 백악관 인증서 떴네요 "페이블을 증류한 나쁜 모델" 반면 Gemini Flash 3.6은 너무 애국적인 성능으로 출시되는 바람에 수출장려판정.. https://x.com/mkratsios47/status/2079933645888880708

😁2

22 Jul 2026, 14:30 UTC234 viewsread 6 August 2026

구글의 AI 네이밍 역사 (구토주의) —— Google Bard 🪦 Google AI Plus Google AI Pro Google AI Ultra Google AI Studio Google Antigravity Google Jules Google Flow Google Gemini Google Gemini API Google Gemini Live Google Gemini Pro Google Gemini Advanced Antigravity Agent Antigravity SDK Antigravity IDE Antigravity CLI Nano Banana Nano Banana Lite Nano Banana Pro Gemini Intelligence Gemini Spark Gemini CLI 🪦 Gemini Audio Gemini Omni

22 Jul 2026, 06:30 UTC≈13,800 viewsread 6 August 2026
Photo

우리나라 경제 인플루언서들 발언들 모아서 인간지표 랭킹 보여주는 바이브코딩 사이트 (누가 만든진 모름) 박종훈 팀장님이 누군진 모르겠으나 거의 다 맞힌거보면 고수인듯 ㄷㄷ https://humanindicator.kr/

Showing the 12 most recent of 20 posts we hold for @muohnism. View and reaction counts are the latest single reading for each post, not a live figure, and a recent post is still accumulating both. A view count marked was rounded by Telegram before we ever saw it — t.me prints views in full below 1,000 and to three significant figures above, so ≈1,200,000 means somewhere between 1,150,000 and 1,249,999. Unmarked counts are exact. Text is reproduced from the public post preview and truncated for length.

Citation-graph rank

Citation-graph rank — 200,739 of 1,160,990entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channel’s name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.

Forward network

Built only from forwarded posts we have actually read, on both sides. Coverage is early and deliberately incomplete: a missing link means we have not read the post that would prove it, never that the relationship does not exist. Counts are distinct forwarded posts observed, so they only ever go up as we read more.

Mentions

Named by 1 registered channel — every channel on the register whose own posts have named this one, by its current username or any other username it currently holds, merged from two separately captured readings of the same fact so a namer caught by only one of them is not missed and a namer both caught is not counted twice. A username this channel has since dropped is not matched — that handle may belong to someone else now, and crediting today’s namer to yesterday’s owner would misattribute it.

Named by

Channels on the register whose posts name this channel's handle.

A mention is a weaker signal than a forward and is counted separately for that reason — naming a channel is not republishing it, and a handle in a post body is easy to place deliberately. The post counts beside each row below are distinct posts in which the handle appeared, from posts we have read on both sides — the “Named by N registered channels” figure above is a different count, of distinct NAMING CHANNELS rather than posts, and is not the sum of the rows under it.

Cite this entry

A live page changes as we take new readings, so a citation should name the measurement it is based on, not just the URL. The line below cites the subscriber count as measured 7 August 2026 — this entry's latest reading, not the date you are reading this.

“무온적 사고 - AI, 명상, 밈” (@muohnism), 446 subscribers as measured 7 August 2026. Telegram Register, tgregister.com/channel/muohnism.

Full measurement history, CC BY 4.0. Every reading this register holds for this entry, not just the latest one, as a dated, downloadable record: CSV · JSON. Free to use with attribution to tgregister.com. Each file carries its own generation timestamp, which is the figure to cite for exactly when the data was retrieved.