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Channel

만족 지연과 복리

@deferred_gratification

On this record: Topic · Observations · Channels linked by matching posts · Growth · Engagement · Reactions · Posts · Citations · Cite this entry

560subscribers

-44 since we began measuring on 7 August 2026

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

Register entry

Telegram ID-1002729606324
TypeChannel
Username@deferred_gratification
CreatedBetween 1 June 2025 and 31 August 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded8 August 2026
Last confirmed live9 November 2026
Measurements held12
Confirmed unchanged1 time, most recently 9 November 2026
On Telegramt.me/deferred_gratification

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 21 September 2026 and assigned it the closest of 31 fixed categories, at 99% 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 the other topics.

Observations

These are measurements, not verdicts. Each one below states something we counted, alongside the evidence it was counted from, so you can check it rather than take it. None of them is graded: every observation this register holds is recorded at severity 0, because the precision of the detectors behind them has not been measured yet, and a rating we cannot support is worse than none. Read each as a fact about the data, not as a judgement about the channel. How we measure.

Content that also appears on other registered channels

Posts published here appear in near-verbatim form on 1 other registered channel. This entry also forms a group of 2 channels linked by matching posts. The matching is on the text itself, not on Telegram’s forward marker, so it finds a copy whether or not it was labelled as one.

Matching posts — open both and compare (1 of the pairs behind the counts below)
Posted firstThenOverlapGap
@cahier_de_market/103664 Aug 2026, 22:58 UTC@deferred_gratification/3922 · this entry5 Aug 2026, 00:19 UTC1.0080 minutes
Channels this entry shares post bodies with, where at least one matching post pair has no forward credit between the two channels, or to a common source, recorded in our data
ChannelMatching postsText overlapTypical gapPublished first
@cahier_de_market5 (5/5 hand-verifiable sample passed)1.002.4 hours@cahier_de_market (5–0)

Text overlap is the Jaccard coefficient over the set of distinct three-word phrases in the two bodies: 1.00 is identical wording, and the threshold for counting a pair at all is 0.70. Candidates are generated by simhash LSH (4 x 16-bit bands, exact Hamming <= 3) verified against the bodies with Jaccard over the SET of distinct 3-word shingles. Published first counts which side of each matching pair carries the earlier timestamp — in this corpus, which is the limitation directly below.

What this cannot establish

MEASURED, DOMINANT ERROR SOURCE: a post ingested before 2026-08-06 may have carried a forward header that was not recorded. A 45-pair hand-check against live t.me pages found 14 (31%) where the live page shows a forward header naming the other channel and the database has none, plus 4 more (9%) naming a third party. The text match itself was wrong 0 times out of 45. Read attribution_capture.items_in_trusted_window before treating the unattributed count as a claim.

Telegram lets a channel forward a post with a header naming the source, and we only began reliably recording that header on 2026-08-06. None of the 0 matches recorded here fall after that date, so for this entry we cannot say whether any of them carried a credit. The duplication is measured; the absence of attribution is not.

“Published first” means first in this corpus. We hold 13 comparable posts for this entry, running 3 August 2026 to 7 August 2026. A channel we have read one page deep will look younger than a neighbour we have read in full, and the order would flip with no change in the underlying facts.

The detector’s own notes on this observation, as it recorded them. Names in this_style are fields of the underlying evidence record, which the plain-English paragraphs above read out for this entry.

  • Verbatim republication has three causes and the text separates only two: a clone/mirror, unattributed copy-paste, or BOTH channels copying a common third source that neither attributes. The spread filter (content held by at most 8 channels) reduces the third and does not remove it.
  • 'Earliest' means earliest IN THIS CORPUS. A channel ingested one page deep will look younger than a neighbour ingested in full; corpus_coverage above is there to be checked before the direction is believed.
  • shared_verified_est extrapolates the sampled pass rate over the full narrow match count; sampled/passed are the numbers actually measured.
  • Absence of a forward header is not proof of intent: Telegram lets a channel disable forward attribution, and a credit written in the body is not parsed as attribution here (mention_edge_either_way above is the closest available signal).

Of the group of 2 channels, the one whose matching posts we hold earliest is @cahier_de_market. That is a statement about our reading window, not a claim of authorship.

Recorded under the key clone_mutual, last confirmed 11 November 2026. An observation that a later pass no longer finds is cleared, and a cleared observation is removed from this page rather than being shown struck through — we do not keep publishing a claim we have withdrawn. Dispute an observation.

Channels linked by matching posts

This channel is in a group of 2 registered channels linked by matching posts. Links are found by comparing text fingerprints across every channel on the register.

Which channel, if either, published first is deliberately not shown in this list. “First” could only mean first in our own crawl, which depends on how deep we happened to reach into each channel’s history, not on when the content was actually first posted. Our one hand-check read 45 of the highest-confidence flagged pairs against the live Telegram pages. In 18 of them the live page showed a “Forwarded from” credit that our database had no record of, so reading that pair as an unattributed copy was wrong; the check did not measure who published first. This list is ordered by subscriber count, the same as every other listing on this site, never by which channel we think came first. Near-verbatim matching has several ordinary explanations besides copying — a channel mirroring itself, an unattributed repost, or two channels independently repeating the same wire story — and this measurement cannot tell those apart. How this is measured.

Growth

5606045827 August 2026 — 604 subscribers8 August 2026 — 604 subscribers16 August 2026 — 600 subscribers22 August 2026 — 598 subscribers30 August 2026 — 597 subscribers18 September 2026 — 594 subscribers2 October 2026 — 592 subscribers13 October 2026 — 586 subscribers20 October 2026 — 581 subscribers26 October 2026 — 578 subscribers2 November 2026 — 571 subscribers9 November 2026 — 560 subscribers7 August 20269 November 2026
12 measurements spanning 94 days, net -44. 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 553–611 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
9 Nov 2026, 08:36560-11
2 Nov 2026, 09:09571-7
26 Oct 2026, 11:00578-3
20 Oct 2026, 10:57581-5
13 Oct 2026, 03:08586-6
2 Oct 2026, 01:38592-2
18 Sept 2026, 03:59594-3
30 Aug 2026, 03:13597-1
22 Aug 2026, 14:35598-2
16 Aug 2026, 04:56600-4
8 Aug 2026, 03:05604no change
7 Aug 2026, 18:23604first reading

Engagement

18 posts held, back to 3 August 2026 — the 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 18 posts for this entry, the most recent from 7 August 2026. An engagement rate over an empty window would be a number about nothing.

Reaction mix

10 reactions across 8 posts, in 2 distinct kinds. The most used accounts for 60.0% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
👍660.0%
❤440.0%

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 8 of the 18 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 10 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 18 most recent posts we hold, published 3 August 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, 00:34 UTC60 viewsread 8 August 2026
Forwarded from @cahier_de_market

구글 내부에서 가장 큰 마찰 요인 중 하나는 컴퓨팅 자원(compute)입니다. 구글은 데이터센터, 반도체, 그리고 관련 인프라에 전 세계 어느 기업보다도 많은 수준의 투자를 하고 있습니다. 하지만 그럼에도 컴퓨팅 용량은 여전히 부족한 상황입니다. TPU 하나를 어떤 모델의 학습에 배정할지, 구글 자체 제품의 서비스에 사용할지, 아니면 클라우드 고객과의 계약을 이행하는 데 투입할지는 모두 서로 경쟁하는 우선순위 가운데 하나를 선택하는 문제가 됩니다. 특히 구글이 Anthropic처럼 Gemini와 직접 경쟁하는 모델을 개발하는 외부 AI 연구소에 대규모 인프라 제공 계약을 발표할 때, 내부에서는 컴퓨팅 자원 접근을 둘러싼 불만이 더욱 커질 수 있다고, 이 사안에 정통한 관계자들은 전했습니다. ** 구글 핵심인력 이탈의 원인도 결국 …

7 Aug 2026, 00:34 UTC78 viewsread 8 August 2026
Forwarded from @cahier_de_market

DeepSeek - 지난번 회의록 유출사태 이후 자금조달 라운드 중단했다가 다시 재개 - 어제는 API 가격 대폭 인상을 예고 - '중국발 저가경쟁으로 모델 커머더티화'라는 베어 캠프 메인논리는 이미 중국이 자체적으로 무너뜨리는 중 - 오픈모델도 돌리고 서빙하는데는 폐쇄형 모델과 별반 다르지않은 컴퓨팅 캐파가 필요함

6 Aug 2026, 13:21 UTC121 viewsread 8 August 2026

딥시크가 자사 AI 모델에 대한 수요 폭증에 맞춰 API(응용프로그램 인터페이스) 서비스 가격을 대폭 인상하겠다고 예고했다.

6 Aug 2026, 13:21 UTC123 views1 reactionsread 8 August 2026

📰 관심 뉴스 🏢 대상: DeepSeek 🏭 산업: AI 모델 📌 딥시크, AI 서비스 가격인상 예고…가격 경쟁력 약화할 듯 🗞️ 출처: 연합인포맥스 🔎 간단 핵심 내용 (API 미사용) • 자사 AI 모델에 대한 수요 폭증에 맞춰 API(응용프로그램 인터페이스) 서비스 가격을 대폭 인상하겠다고 예고함 • 초저가 정책을 앞세워 글로벌 AI 시장을 흔들었던 딥시크가 가격 인상을 예고함에 따라 경쟁사 대비 유지해 온 강력한 가격 경쟁력도 축소될 전망임 🔗 뉴스 원문 https://news.einfomax.co.kr/news/articleView.html?idxno=4428973

👍1

6 Aug 2026, 12:49 UTC81 views1 reactionsread 8 August 2026
Forwarded from @mstaryunPhoto

#AI매출 #CAPEX #수익화

❤1

5 Aug 2026, 09:14 UTC160 views3 reactionsread 8 August 2026

AI 데이터센터는 이제 데이터를 저장하는 창고가 아니라, 토큰을 생산하는 공장입니다. 문제는 추론 작업이 시작될 때 전력 수요가 급증하고, 끝나면 다시 급감한다는 점입니다. 전력망은 최대 수요에 맞춰 깔아야 하지만 실제 사용량은 들쭉날쭉해 잉여전력과 계통 부담이 커집니다. 결국 ESS가 남는 전력을 저장하고, 피크 때 공급하며, 급격한 부하 변동을 완충해야 합니다. AI 데이터센터 증가 → 전력 변동성 확대 → ESS 수요 증가

👍3

5 Aug 2026, 09:12 UTC130 views1 reactionsread 8 August 2026
Forwarded from @ITforYouFromHana

[하나증권 2차전지 김현수] "추론의 시대와 대한민국 메가프로젝트, 그리고 ESS" 링크 : https://buly.kr/2qazDjH ▶ 저장시설에서 생산시설로 진화하는 데이터센터 AI가 추론의 영역에 진입한 이 시대의 데이터 센터는, "새로운 결론"을 도출한다. 데이터센터는 새로운 답과 새로운 결론을 통해 새로운 부가가치를 생산하는 공장으로 진화하고 있다. 데이터센터가 추론을 통해 새로운 결과를 도출하기에 젠슨 황은 이를 Token Factory 로 명명하였다. ▶ 토큰 팩토리 AI 산업의 경쟁 논리는 GPU로 얼마나 많은 토큰을 생산할 수 있는가로 이동하였다. 즉, 인공지능 시대의 경쟁은 누가 토큰을 많이 생산하느냐의 싸움으로 귀결되는데, 이러한 토큰 생산 경쟁에서의 성패는 이를 뒷받침하는 인프라에 달려있다. 그리고 인프라의 …

👍1

5 Aug 2026, 08:38 UTC127 views1 reactionsread 8 August 2026

리마인드 가장 직관적인 판단기준은 "협상력"

❤1

5 Aug 2026, 08:37 UTC115 viewsread 8 August 2026
Forwarded from @growth_semi

💻 中 CXMT 배짱이 쏘아 올린 공…삼성·SK 'D램 협상력' 강화 https://www.ddaily.co.kr/page/view/2026080513445474844 📌 애플도 못 깎은 CXMT의 가격 협상력 애플이 차기 아이폰용 LPDDR5X 공급 단가 인하를 요구했지만 CXMT가 거절한 것으로 전해짐. CXMT는 삼성전자·SK하이닉스와 유사하거나 더 높은 가격을 고수하며 가격 경쟁 대신 수익성 전략을 선택. 📌 중국 내수 수요가 가격 방어막 역할 화웨이·샤오미 등 중국 스마트폰 업체들이 장기 계약으로 CXMT 물량을 선점하며 공급 부족 심화. 중국 메모리 업체까지 저가 공급을 거부하면서 글로벌 세트업체들의 가격 협상력이 약화되는 모습. 📌 범용 D램까지 쇼티지…HBM 집중 효과 삼성전자와 SK하이닉스는 HBM 생산 확대 영향으…

5 Aug 2026, 08:35 UTC86 views1 reactionsread 8 August 2026
Forwarded from @defence_24

트럼프, 한국에 진심이었네…“군함 해외 건조 승인” 정식 요청, K조선 ‘잭팟’ 터질까 -美백악관, 의회에 “군함 해외 건조 허용” 공식 요청 -“전투함 2척, 비전투 지원함 2척 건조하게 해달라” -미 해군 함정을 건조 국가로 한국 등 우선 거론될 듯 미 백악관이 해군 군함을 해외에서 건조할 수 있게 허용해 달라는 공식 요청서를 의회에 보냈다. 해당 요청이 의회에서 승인되면 한국 조선업체의 수주 가능성이 한층 높아질 것이라는 전망이 나온다. 백악관 예산관리국(OMB)은 지난달 21일(현지시간) ‘2027년 국방수권법(NDAA)에 대한 행정부 정책입장서(SAP)’에 해군의 전투함과 비(非) 전투 지원함 각각 2척을 해외에서 건조해야 한다는 입장을 담아 의회에 전달한 사실이 4일 공식적으로 확인됐다. https://v.daum.net/v…

❤1

5 Aug 2026, 08:34 UTC101 viewsread 8 August 2026
Forwarded from @HI_GS

[인도네시아, LIG D&A 천궁-Ⅱ 이어 함대공유도탄-Ⅱ 도입 검토] • 인도네시아 해군, 지대공 천궁-II(LOI 제출)에 이어 해상형 KSAM-II(함대공유도탄-II) 도입 검토 중 • KSAM-II는 LIG D&A가 미국산 SM-2 대체 목적으로 개발 중이며 2030년까지 국산화율 90% 이상 목표 • 최대 마하 5 속도, 3세대 반도체 능동 레이더 탐색기 적용, 연산 반응 주기 SM-2 대비 5배 이상 단축 • 인도네시아의 한국산 방공체계 도입 추진이 말레이시아, 필리핀 등 동남아 인접국으로의 낙수효과 기대 ❗️ 지대공 천궁-II 실전 검증 성공이 해상형 KSAM-II 연계 도입 및 동남아 다층 방공망 수주 확대 가능성 고조 출처: [더구루] URL: https://www.theguru.co.kr/mobile/article.html…

5 Aug 2026, 00:19 UTC57 views1 reactionsread 8 August 2026
Forwarded from @kkkontemp

이 점도 납득이 가긴 하는듯 "LTA 위반 시 발생하는 치명적 리스크: 향후 2~3년 내 주도권이 메모리 업체로 다시 넘어가면, LTA를 파기했던 기업은 공급을 받지 못해 사업 자체가 끝날 수 있습니다. 가격 계약을 위반하면 메모리 업체는 물량 공급 계약을 파기하고 해당 물량을 경쟁사에 넘겨버릴 것이며, 이는 즉각적인 시장 점유율 상실로 이어집니다." --- https://x.com/dnapway/status/2084707988372340763?s=46&t=xqAS5Xg0kII_7JxezPKEHw https://lilys.ai/digest/10826981/12715590?s=1&noteVersionId=9303198 https://youtu.be/NGsi2PC4y68?si=gmMTQuU3AN27hfj7

❤1

Showing the 12 most recent of 18 posts we hold for @deferred_gratification. 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.

Mentions

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 9 November 2026 — this entry's latest reading, not the date you are reading this.

“만족 지연과 복리” (@deferred_gratification), 560 subscribers as measured 9 November 2026. Telegram Register, tgregister.com/channel/deferred_gratification.

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.