[포토] 물줄기를 뿌려봐도 나가지 않는 부캉이 | 아주경제 https://www.ajunews.com/view/20260929154111007 알박기 모드
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Channel
@aetherjapanresearch
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Stars · Posts · Posts edited after publishing · Citations · Handles named that no longer answer · Telegram's recommendations · Cite this entry
34,509subscribers
+922 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of 31,623–100,000.
| Telegram ID | -1001909745040 |
|---|---|
| Type | Channel |
| Username | @aetherjapanresearch |
| Description | 일본, 미국을 중심으로 관심있는 정보를 저장하는 곳입니다. 한국에서 잘 보지 못하는 일본의 경제상황, 다양한 회사들을 찾아 볼 수 있는 채널이에요. 본 채널은 단순히 저의 의견을 적고, 이를 기록하는 용도입니다. 제가 언급하는 종목들은 매수-매도 등 투자권유를 의미하는게 아닙니다. 해당 게시물의 내용은 부정확할 수 있으며 매매에 따른 손실은 거래 당사자의 책임입니다. 해당 게시물의 내용은 어떤 경우에도 법적 근거로 사용될 수 없습니다. |
| Created | 5 May 2023 — measured — cross-checked against a third-party dataset (ext.tg_channel) |
| First recorded | 6 August 2026 |
| Last confirmed live | 26 September 2026 |
| Measurements held | 35 |
| Confirmed unchanged | 1 time, most recently 26 September 2026 |
| On Telegram | t.me/aetherjapanresearch |
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 9 September 2026 and assigned it the closest of 31 fixed categories, at 57% 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.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 26 Sept 2026, 18:55 | 34,509 | +40 |
| 19 Sept 2026, 13:41 | 34,469 | +15 |
| 17 Sept 2026, 02:56 | 34,454 | +11 |
| 15 Sept 2026, 03:20 | 34,443 | +20 |
| 13 Sept 2026, 11:38 | 34,423 | +15 |
| 11 Sept 2026, 12:41 | 34,408 | +47 |
| 8 Sept 2026, 17:20 | 34,361 | +50 |
| 5 Sept 2026, 08:57 | 34,311 | +4 |
| 3 Sept 2026, 09:15 | 34,307 | +9 |
| 2 Sept 2026, 04:12 | 34,298 | +14 |
| 1 Sept 2026, 05:36 | 34,284 | +17 |
| 31 Aug 2026, 07:02 | 34,267 | +17 |
| 30 Aug 2026, 08:43 | 34,250 | +55 |
| 29 Aug 2026, 06:17 | 34,195 | +12 |
| 28 Aug 2026, 04:42 | 34,183 | -2 |
| 27 Aug 2026, 01:06 | 34,185 | +10 |
| 25 Aug 2026, 23:24 | 34,175 | -10 |
| 24 Aug 2026, 22:25 | 34,185 | +19 |
| 23 Aug 2026, 09:33 | 34,166 | +44 |
| 21 Aug 2026, 18:56 | 34,122 | first reading |
830 posts held, back to 5 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 91 pages of Telegram’s post history, 20 posts per page.
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 436 of 440 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 29 September 2026 |
|---|---|
| Posts held | 830 (5 August 2026 – 29 September 2026) |
| Views total | 1,703,919 |
| Reactions total | 5,249 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 29 Sept 2026, 06:52 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.
Lifetime counters from Telegram’s own channel header, read 29 September 2026 — not the date at the top of this page, which is when the subscriber count was last read. A count marked ≈ was rounded by Telegram before we ever saw it — t.me prints these counters in full below 1,000 and to three significant figures above, so ≈142,000 means somewhere between 141,500 and 142,499.
Measured directly from 23 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.
12,158 reactions across 804 posts, in 64 distinct kinds. The most used accounts for 31.2% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 3,793 | 31.2% | |
| 😁 | 1,161 | 9.55% | |
| 👍 | 1,155 | 9.50% | |
| 🤣 | 927 | 7.62% | |
| 🖕 | 888 | 7.30% | |
| 🤮 | 884 | 7.27% | |
| 😱 | 613 | 5.04% | |
| 🤬 | 434 | 3.57% | |
| 🦄 | 332 | 2.73% | |
| 🔥 | 300 | 2.47% | |
| 👏 | 252 | 2.07% | |
| 🥰 | 184 | 1.51% | |
| 😭 | 156 | 1.28% | |
| 🤯 | 138 | 1.14% | |
| 🤔 | 129 | 1.06% | |
| 😢 | 122 | 1.00% | |
| 🤷♂ | 72 | 0.592% | |
| 🐳 | 71 | 0.584% | |
| 🤡 | 63 | 0.518% | |
| 🤷♀ | 32 | 0.263% | |
| 44 further kinds | 452 | 3.72% |
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 825 of the 830 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 12,318 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 830 most recent posts we hold, published 5 August 2026 to 29 September 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.
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @aetherjapanresearch. Telegram publishes the count on the public post preview alongside ordinary reactions, and this register reads it there. It is the only figure on this site that measures money moving rather than attention.
Stars are not reactions, and the two are never added. They are rendered in the same strip on Telegram and counted in the same shape, but one is a tap and the other is a purchase. The reaction totals and the engagement rate elsewhere on this page exclude every figure in this section, and no rate here is computed against a reaction count.
This is not revenue, and we publish no currency figure. What a Star costs a reader and what it pays a channel are different numbers, Telegram takes a share we cannot observe, and the terms have changed. Converting a Star count into money would be an estimate dressed as a measurement, so the count is where we stop.
Counted over the 830 most recent posts we hold for this entry, published 5 August 2026 to 29 September 2026. Star counts above 1,000 reach us in Telegram’s short form and carry the same three-significant-figure rounding as everything else on this page.
[포토] 물줄기를 뿌려봐도 나가지 않는 부캉이 | 아주경제 https://www.ajunews.com/view/20260929154111007 알박기 모드
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Citi) NVIDIA (NVDA.O); 1,500억 달러 규모 자사주 매입 승인 발표 - 긍정적 씨티의 견해 엔비디아는 자사주 매입 승인 한도를 1,500억 달러 증액한다고 발표했으며, 이에 따라 FY28까지 총 자사주 매입 여력은 2,350억 달러가 되었습니다. 당사는 확대된 자사주 매입이 AI 주도의 강력한 잉여현금흐름 성장이 전략적 투자와 상당한 주주환원을 모두 뒷받침할 수 있다는 엔비디아의 견해를 강화한다고 판단합니다. 또한 엔비디아는 자사의 풀스택 AI 전략을 강화하고 GPU를 넘어 AI 보안, 컴플라이언스, 거버넌스로 목표 시장을 확대하기 위해 Open Agent Safety Platform을 발표했습니다. 단기적인 매출 영향은 크지 않을 가능성이 높지만, 이 이니셔티브는 기업 AI 지출에서 더 큰 몫을 확보할 수 있는 엔비디아…
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젠슨 황 "AI는 폭주 안해…인간적 속성 부여가 공포 키운 것" | 연합뉴스 https://www.yna.co.kr/view/AKR20260929075800072
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명문대 동아리 출신 '금융엘리트', 정보카르텔 200억 부당이득 | 연합뉴스 https://www.yna.co.kr/view/AKR20260929054600002
😁12🍌3🤪2❤1🤮1
JP모건) 마이크론 테크놀로지 F4Q26(8월 분기) 프리뷰: 지속적인 가격 모멘텀에 힘입어 또 한 번의 어닝 비트 및 가이던스 상향 예상, SCA 커버리지의 의미 있는 확대 가능성, 12/9 이후 자본환원 프레임워크에 주목, 비중확대(OW) 유지. TP $1540. MU는 수요일(9월 30일) 8월 분기(F4Q26) 실적을 발표할 예정이며, 당사는 DRAM과 NAND 모두에서 구조적으로 타이트한 메모리 환경 속에서 여러 비트 앤 레이즈(beat-and-raise) 레버가 여전히 작동하고 있어 셋업이 긍정적이라고 판단합니다. 실적 자체와 관련해, 당사는 MU가 8월 분기 매출, 매출총이익률, EPS에서 시장 컨센서스인 514억 달러/86.2%/31.73달러를 상회할 수 있는 좋은 위치에 있다고 봅니다. 경영진이 앞서 "가격 인상 속도의 의미…
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JP모건) 키옥시아 홀딩스 (285A); 키타카미 공장 견학: K3는 FY2029 가동 예정 28일, 당사는 이와테현 키타카미 공장의 제1제조동 및 제2제조동(K1 및 K2) 시설을 견학할 기회를 가졌습니다. 회사는 2017년에 전공정에 특화된 이 공장을 욧카이치 공장에 이은 두 번째 제조 거점으로 설립하기로 결정했습니다. K1과 K2는 각각 2020년과 2025년 9월에 가동을 시작했습니다. 경영진은 제3제조동(K3)을 FY2029에 가동할 계획입니다. 현재 비트 생산량은 욧카이치 공장보다 적지만, 경영진은 K3의 기여와 BiCS 10 등 고용량 제품의 매출 비중 확대를 통해 장기적으로 욧카이치와 50/50 비율을 달성하는 것을 목표로 하고 있습니다. 경영진은 신제품 개발/공장 증설과 생산성 향상(예: 가동률, 수율, 인력 절감)을 결합하…
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앤스로픽 S-1 서류 재무 데이터 보도 ■ 2025년 주요 숫자 : 매출 - 45.9억 달러(+1,088% YoY) - 25년 매출의 약 25%가 단 2개 고객에서 발생 - 주요 대형 고객 상당수가 장기 계약에 묶여 있지 않아 지출 축소 가능성을 리스크 요인으로 제시 : 영업손실 - 80.6억 달러 : 순손실(GAAP) - 419.7억 달러 - 순손실 중 340억 달러는 과거 자금조달 관련 향후 주식으로 전환될 수 있는 금융부채 가치 상승에 따른 회계상 비용 : 컴퓨팅 및 인프라 지출 - 73.3억 달러(3배 YoY) - 전체 영업비용 126.5억 달러의 58%(나머지는 53.2억 달러) : 현금·현금성자산 및 단기투자자산 - 202.8억 달러 : 향후 클라우드 컴퓨팅 및 인프라 관련 의무에 5,180억 달러 지출 계획 ■ 과거 …
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일론 머스크, SpaceXAI, AI 안전 조사 관련 뉴욕시 소환 Elon Musk, SpaceXAI subpoenaed by NYC in AI safety investigation https://www.cnbc.com/2026/09/28/elon-musk-spacexai-subpoenaed-by-nyc-in-ai-safety-investigation.html?__source=androidappshare
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오픈AI, 안전 우려 고조에 차기 모델 출시 계획 철회 오픈AI는 차기 AI 모델인 GPT-6.1 Astra가 회사의 안전 기준을 충분히 충족하지 못한다고 판단해 출시하지 않기로 결정했으며, CNBC가 월요일 이를 확인했습니다. 오픈AI 안전 시스템 책임자인 사치 자인(Saachi Jain)은 이 모델이 작업 범위와 권한 내에 머무르는 측면, 그리고 수행한 작업의 유형을 사용자에게 전달하는 방식에서 기준에 다소 미치지 못했다고 설명했습니다. 그는 사내 개발이든 사용자 대상 배포든 모델 개발의 안전성을 보장하고자 하지만, 특히 사용자에게 배포할 때는 안전성과 얼라인먼트 측면에서 매우 높은 기준을 적용한다고 밝혔습니다. 이번 결정은 월스트리트저널이 처음 보도했으며, 오픈AI의 연례 개발자 컨퍼런스를 하루 앞두고 나왔습니다. 이번 발표는 첨단 …
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백악관 관계자: 트럼프, 어젯밤 Anthropic의 아모데이와 회동
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엔비디아와 OpenAI, 트럼프-존슨 회동에 초청받아 - Semafor
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메타의 AI 에이전트 Muse, 사용자 허락 없이 주소를 공유 에이전트 도구를 마켓플레이스 계정에 연결해 둔 한 사용자가 자신의 집 주소가 잠재 구매자에게 공유된 것을 확인했습니다. 테크 유튜버 맷 롭(Matt Robb)은 메타의 에이전트형 AI 비서 Muse에 페이스북 마켓플레이스 거래를 맡겼다가, Muse가 자신의 허락 없이 집 주소를 구매자에게 알려주고 헐값 제안까지 수락한 사실을 뒤늦게 알게 되었다고 Threads에 밝혔습니다. 구매자는 판매자도 모르는 사이 집으로 찾아와 여러 차례 메시지를 보내며 기다렸고, Muse는 밤늦게서야 이 사실을 알리며 사과하는 한편, 롭의 계정으로 구매자에게도 사과 메시지를 보냈고 확인할 수 없는 상황에서 롭이 집에 있다고 자동 응답하지 않도록 설정을 바꾸겠느냐고 제안했습니다. 롭은 이 도구가 자신의 주…
😱9❤5🤔1🥰1🦄1
Showing the 12 most recent of 830 posts we hold for @aetherjapanresearch. 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.
@aetherjapanresearch edited 1 post after it first published — the same permalink now carries different wording than the one this register originally read, caught because our own crawl held a copy of the earlier text.
An edit is not deception. Typo fixes, price updates and corrections look exactly like this too — this register can tell you the wording changed and when, not why. How this is measured.
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
Republished by 92 registered channels. The 48 listed are the ones that have forwarded the most posts; the rest are counted here but not each listed.
Republishes
Channels on the register whose posts this channel has forwarded.
Republishes 59 registered channels. The 48 listed are the ones this channel has forwarded most; the rest are counted here but not each listed.
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.
Named by 15 registered channels — 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.
Names
Channels on the register whose handles appear in this channel's posts.
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.
@aetherjapanresearch named 1 handle that resolve to nothing today. That is a fact about the reference, not necessarily a fact about the handle’s history — see the two groups below.
Most of these may never have existed as a live channel at all. A handle a channel names can be a typo, an aspirational name nobody registered, or a channel that was already gone before this one ever mentioned it. Unless a row below is marked evidenced, all we know is that it references a handle that is not a live channel today — not that anything “died”. How this is measured.
References a handle that is not a live channel — we have no record it ever was one.
Telegram’s own answer, not this register’s. When this register asks Telegram’s API what is similar to this channel, this is the list it returns, in the exact order Telegram returns it — never re-sorted by subscribers or by anything else this register measures. The relationship, and the order, are Telegram’s; we record them and date them, and make no claim of our own about which of these channels actually resemble this one.
Read from Telegram’s recommendation API, most recently 3 September 2026. Telegram holds a list like this for a small and growing share of the register — how this is measured, and why most channel pages show nothing here.
The reverse of the list above, and a different kind of signal. This does not require this channel to have ever been asked about directly — each row below is a channel we DID ask Telegram about, whose Telegram-generated list happened to include this one. A channel can appear here with an empty list above it, because being named by someone else’s query is independent of having been queried itself.
This channel appears in 45 seed channels' Telegram-generated recommendation lists in total, of which the 24 where it ranks highest are shown above. Each is Telegram’s list for THAT channel, not this one — see how this is measured.
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 26 September 2026 — this entry's latest reading, not the date you are reading this.
“에테르의 일본&미국 리서치” (@aetherjapanresearch), 34,509 subscribers as measured 26 September 2026. Telegram Register, tgregister.com/channel/aetherjapanresearch.
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.