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Channel

이제부터 진짜 AI

@easynoscamai

On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry

1,770subscribers

+6 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 1,000–3,162.

Register entry

Telegram ID-1002574511154
TypeChannel
Username@easynoscamai
CreatedBetween 1 March 2025 and 31 July 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live13 September 2026
Measurements held13
Confirmed unchanged1 time, most recently 13 September 2026
On Telegramt.me/easynoscamai

Topic

Technology — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channel’s own recent posts on 16 September 2026 and assigned it the closest of 31 fixed categories, at 100% confidence. This is a model’s judgement about what the channel is likely to be about, not a fact this register measured the way a subscriber count or a view count is measured — it can be revised on a later pass, and it carries no weight anywhere else on this page. How this classification works, and why it has no browse page of its own yet.

Growth

1,7631,7711,7677 August 2026 — 1,764 subscribers7 August 2026 — 1,764 subscribers10 August 2026 — 1,768 subscribers13 August 2026 — 1,769 subscribers17 August 2026 — 1,766 subscribers20 August 2026 — 1,764 subscribers23 August 2026 — 1,763 subscribers26 August 2026 — 1,764 subscribers28 August 2026 — 1,765 subscribers31 August 2026 — 1,768 subscribers3 September 2026 — 1,766 subscribers9 September 2026 — 1,771 subscribers13 September 2026 — 1,770 subscribers1,7707 August 202613 September 2026
13 measurements spanning 36 days, net +6. 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 1,762–1,772 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
13 Sept 2026, 04:151,770-1
9 Sept 2026, 06:381,771+5
3 Sept 2026, 21:381,766-2
31 Aug 2026, 14:031,768+3
28 Aug 2026, 22:581,765+1
26 Aug 2026, 06:331,764+1
23 Aug 2026, 09:431,763-1
20 Aug 2026, 02:421,764-2
17 Aug 2026, 09:271,766-3
13 Aug 2026, 17:551,769+1
10 Aug 2026, 19:131,768+4
7 Aug 2026, 16:301,764no change
7 Aug 2026, 16:171,764first reading

Engagement

19 posts held, back to 22 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 page of Telegram’s post history, 20 posts per page.

Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 19 posts for this entry, the most recent from 7 August 2026. An engagement rate over an empty window would be a number about nothing.

What this channel posts

Video runtime
16s
Average length
8s

Measured directly from 2 videos with a duration reading, out of the posts we hold for this channel — not this channel’s whole posting history, only the sample this register has actually read. An exact reading to the second, taken from the post itself rather than from Telegram’s own rounded chrome, so it carries no mark.

Reaction mix

53 reactions across 14 posts, in 8 distinct kinds. The most used accounts for 30.2% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
1630.2%
👍1528.3%
😁1018.9%
🥴611.3%
🙉35.66%
👀11.89%
🤣11.89%
🥰11.89%

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 14 of the 19 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 53 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 19 most recent posts we hold, published 22 July 2026 to 7 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

7 Aug 2026, 08:18 UTC294 views2 reactionsread 7 August 2026
Photo

구글 제미니 근황 (유머글입니다)

😁2

6 Aug 2026, 23:55 UTC367 viewsread 7 August 2026
Photo

요새 로컬 옵니 모델(이미지+영상+텍스트 다 되는) H3에 푹 빠져있습니다. 다만 H3를 만든 minmax에서 저작권/라이센스/약관 위반에 해당하는 사용(부적절한 파인튜닝, 18금 컨텐츠 생성 등)을 상당히 엄격하게 보고 있으니 주의하셔야 합니다. ... 사실 자기들 이름만 안붙이면 뭐든 해도 된다는 말도 있습니다.

4 Aug 2026, 07:17 UTC625 views7 reactionsread 7 August 2026
Photo

Q.왜 AI로 업무 자동화가 안될까 A.사람들은 자기가 무슨일을 하는지 설명할 줄 모른다. "당신이 매일 하는 업무를 자세하게 텍스트로 적어서 설명하세요" 라고 했을 때, "저는 문서 작업을해요. 아 이메일도 오면 정리하구요. 전화 응대도 해요" 라고 보통 설명한다. 그러나 세상에 그 어떤 사람도 "저는 word 2010 을 사용해서 문서 작업을 할때, 폰트는 12 사이즈로, 굴림 폰트를 기본으로 합니다. 사장님 보고용 문서는 사장님이 좋아하는 Notosans폰트로 글씨를 15포인트로 설정합니다." 라고 설명하지 않습니다. 즉, 나한테는 당연한 업무의 '암묵지' 라는 당연한 요소들이 설명되지 않고, 이로인해 AI는 사실상 모든 내용을 알아서 진행해야합니다. 그러니 오류도 많고, 실수가 자주 생깁니다. 사용자 입장에서는 "내가 제

7

3 Aug 2026, 05:50 UTC615 views3 reactionsread 7 August 2026
Video

MinMax H3로 뽑은 영상 • 타르코프 인게임 스타일 + 고질라 등장 •480p, 저화질

😁3

2 Aug 2026, 07:52 UTC766 views8 reactionsread 7 August 2026
Photo

2026.08 AI 모델 추천+서비스 *링크 누르면 바로 오픈라우터로 써볼수 있음 [언어 로컬 모델] - DeepSeek Flash V4(링크) : 몸집은 작지만 머리는 그대로. LLM 로컬 모델계의 코난임 - Gemma4(링크) : 구글은 죽지 않았다. 사이즈도 작고, 일도 잘하는 젬마(근데 프롬프트에 너무 민감함. 세심하게 다뤄주세요) Qwen은 이제 뒤쳐졌다 (2026.08 기준) Kimi k3는 로컬 아님. 사이즈가 2800B인데 이게 어떠케 로컬임??? 모티프3는 정식 출시 안함 엑사원2는 성능 나쁨 솔라 새로운 모델 안써봄 SK 모델도 안써봄 (너무 커..) [코딩 서비스] 그냥 아무거나 쓰셈. 요새 걍 다 좋음 제미니 <- 이거만 빼고 Q. pi는 어때요? A. 가볍고 좋은데, 어차피 클로드 연결 못하고, 코덱스ap

🥴62

31 Jul 2026, 02:37 UTC640 viewsread 7 August 2026
Photo

엑사원 2.0 성능이 많이 뒤쳐지네요.. 걍 다 졌는데...? (엑사원 2.0 기술 리포트 기준) 1.0 대비 엄청 좋아진건 별로없네.. 딥시크, GLM, Qwen 3.5(3.6아님) 한테 따잇... - 한국어도 중국 모델한테 짐 - 모델 사이즈 절반인 qwen 3.5한테도 밀림 - 딥시크4랑은 승부도 안됨.. 완전 별로자나...!

30 Jul 2026, 07:51 UTC557 views5 reactionsread 7 August 2026
Photo

LLM 논문이 왜 재미없을까 안녕하세요. 늘 한주에 llm논문을 서너개씩은 올리던 방장입니다. 요새는 한주에 하나, 많으면 두개 겨우 올립니다. 제가 지금까지 공유드린 논문이 50개 가까이가 넘습니다. 논문을 소개드릴때 다음의 기준을 저는 잡고 논문을 분석합니다 -독특하거나 신선한 시도를 하거나 -기존에 다루지 않은 영역/방법론을 소개하거나 -실제 현장,업무에 연결된 실용적인 방법론을 소개/제안/연구 하거나 할때, 그것들을 바로바로 공유드리고자 합니다. 다만 요새 LLM 연구에서, 특히 에이전트와 프롬프팅은 굉장히 지루한(그치만 나쁜건 아닙니다) 상태로 접어들었습니다. [1] 에이전트를 활용해 "이만큼 좋아졌습니다"는 이제 너무 흔합니다. 물론, 모든 연구가 '흔하다' 로 평가절하 당할수는 없습니다. 아직도 몇몇 연구들은 기존

👍5

28 Jul 2026, 08:45 UTC572 views1 reactionsread 7 August 2026
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앤트로픽 : 우리 오픈소스 지지합니다 (우리 조건에 맞는 경우에만) 링크 [요약] - 중국에 칩 팔지 말아줘 - 중국 증류 단속좀 - 개방형/폐쇄형 모두 '안전한지' 검사할 수 있는 방법이 필요함 음.... 뭐.... 글쎄요? 굳이??? 칩이랑 증류는 뭐 그렇다고 해도 (경쟁 상대니까) 그 오픈소스 안전장치는.. 너네가 안해도 오픈소스 커뮤니티가 할텐데? 결론 : 중국 AI 규제좀??? by 아모데이

🥰1

28 Jul 2026, 04:38 UTC646 views2 reactionsread 7 August 2026
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레딧: 키미3을 직접 호스팅하면 공식 키미 서빙 업체보다 34배 높은 수익을 올릴 수 있다. 링크 준비물: 미니 데이터 센터 기타 준비물 : 경비원, 법인, 전용 케이블, 회선, 고속 업체 인터넷, 회계 직원, 세무사... 더보기

👍1🤣1

28 Jul 2026, 04:35 UTC597 views1 reactionsread 7 August 2026

오늘자로 키미는 대부분의 서빙 업체에서 돌아가고 있습니다. 오늘부터 키미3을 사용자들이 쓰면서 진짜 제대로된 피드백이 나올것 같네요

👀1

Showing the 12 most recent of 19 posts we hold for @easynoscamai. 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.

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.

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 13 September 2026 — this entry's latest reading, not the date you are reading this.

“이제부터 진짜 AI” (@easynoscamai), 1,770 subscribers as measured 13 September 2026. Telegram Register, tgregister.com/channel/easynoscamai.

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.