GPT-6 Astra는 NVIDIA Grace Blackwell NVLink72 GPU 약 10만 개 이상으로 학습됐다. ChatGPT에서 o1을 거쳐 Astra까지, 4년 만이다.AGI가 도착했다. OpenAI 팀, 축하한다. 다음으로 GPU 40만 개가 온라인된다.
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Channel
@ym_research
On this record: Topic · Observations · Also posting the same content · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Telegram's recommendations · Cite this entry
39,984subscribers
+326 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of 31,623–100,000.
| Telegram ID | -1001962529222 |
|---|---|
| Type | Channel |
| Username | @ym_research |
| Description | 안녕하세요, YM리서치입니다. 돈되는 고민만을 담아내겠습니다. ‼️Disclaimer‼️ 본 채널은 투자 판단에 참고가 될만한 정보의 제공만을 목적으로 매수/매도에 대한 추천이 아니며, 채널의 콘텐츠는 작성자의 주관적인 견해를 바탕으로 그 정확성이나 완전성을 보장할 수 없습니다. 투자자 본인의 판단과 책임 하에 투자 의사결정을 해야 하며, 본 채널에서 다루는 내용들은 구독자의 투자 결과에 따른 법적 책임이 없음을 밝힙니다. |
| Created | 12 March 2023 — measured — cross-checked against a third-party dataset (ext.tg_channel) |
| First recorded | 6 August 2026 |
| Last confirmed live | 5 September 2026 |
| Measurements held | 29 |
| Confirmed unchanged | 1 time, most recently 5 September 2026 |
| On Telegram | t.me/ym_research |
Other / unclassifiable — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-UD-Q6_K_XL, prompt version 1) read this channel’s own recent posts on 10 August 2026 and assigned it the closest of 31 fixed categories, at 33% 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.
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.
Posts published here appear word for word on 1 other registered channel. 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.
| Posted first | Then | Overlap | Gap |
|---|---|---|---|
| @ym_research/6290 · this entry28 Jul 2026, 23:31 UTC | @wizhans/6553628 Jul 2026, 23:52 UTC | 1.00 | 20 minutes |
| @ym_research/6296 · this entry30 Jul 2026, 06:27 UTC | @wizhans/6553830 Jul 2026, 07:01 UTC | 1.00 | 34 minutes |
| @ym_research/6301 · this entry4 Aug 2026, 23:39 UTC | @wizhans/655454 Aug 2026, 23:51 UTC | 1.00 | 11 minutes |
| @ym_research/6303 · this entry5 Aug 2026, 06:54 UTC | @wizhans/655465 Aug 2026, 06:57 UTC | 1.00 | 2 minutes |
| Channel | Matching posts | Text overlap | Typical gap | Published first |
|---|---|---|---|---|
| @wizhans | 5 (5/5 hand-verifiable sample passed) | 1.00 | 20 minutes | this entry (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 15 comparable posts for this entry, running 23 July 2026 to 6 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.
Across the whole group of 2, the earliest publisher we hold is @ym_research — which is this entry. That is a statement about our reading window, not a claim of authorship.
Recorded under the key clone_source, last confirmed 7 August 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.
This channel’s posts match, word for word or near enough, posts on 1 other registered channel, found by comparing text fingerprints across every channel on the register. That matching has been checked by hand against the live Telegram pages and found reliable — 0 wrong of 45 pairs re-read.
Which channel, if either, published first is deliberately not shown. The same hand-check found that reading wrong 18 of 45 times — 60%, no better than a coin flip — because it depends on how deep our own crawl happened to reach into each channel’s history, not on when the content was actually first posted. This list is ordered by subscriber count, the same as every other listing on this site, never by which channel we think came first. Word-for-word 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.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 5 Sept 2026, 10:01 | 39,984 | +9 |
| 3 Sept 2026, 10:43 | 39,975 | -12 |
| 2 Sept 2026, 01:53 | 39,987 | +2 |
| 1 Sept 2026, 01:44 | 39,985 | +9 |
| 31 Aug 2026, 02:13 | 39,976 | +34 |
| 30 Aug 2026, 03:24 | 39,942 | +25 |
| 29 Aug 2026, 02:42 | 39,917 | +7 |
| 28 Aug 2026, 05:54 | 39,910 | +10 |
| 27 Aug 2026, 03:28 | 39,900 | +32 |
| 26 Aug 2026, 05:43 | 39,868 | -6 |
| 25 Aug 2026, 08:32 | 39,874 | +14 |
| 24 Aug 2026, 07:24 | 39,860 | +64 |
| 22 Aug 2026, 18:32 | 39,796 | +4 |
| 21 Aug 2026, 07:04 | 39,792 | +9 |
| 20 Aug 2026, 05:14 | 39,783 | -4 |
| 19 Aug 2026, 06:08 | 39,787 | +9 |
| 18 Aug 2026, 08:35 | 39,778 | +10 |
| 17 Aug 2026, 11:42 | 39,768 | +26 |
| 16 Aug 2026, 03:15 | 39,742 | +12 |
| 14 Aug 2026, 13:27 | 39,730 | first reading |
133 posts held, back to 23 July 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 65 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.
| Window | Rolling 30 days · latest post in window 6 September 2026 |
|---|---|
| Posts held | 133 (23 July 2026 – 6 September 2026) |
| Views total | 1,364,830 |
| Reactions total | 4,101 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 6 Sept 2026, 23:50 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 6 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 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.
5,406 reactions across 130 posts, in 3 distinct kinds. The most used accounts for 52.6% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 2,844 | 52.6% | |
| 👍 | 1,751 | 32.4% | |
| 🔥 | 811 | 15.0% |
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 133 of the 133 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 5,569 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 133 most recent posts we hold, published 23 July 2026 to 6 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.
GPT-6 Astra는 NVIDIA Grace Blackwell NVLink72 GPU 약 10만 개 이상으로 학습됐다. ChatGPT에서 o1을 거쳐 Astra까지, 4년 만이다.AGI가 도착했다. OpenAI 팀, 축하한다. 다음으로 GPU 40만 개가 온라인된다.
❤15👍10🔥3
일본 반도체 장비: SEMICON Taiwan 2026에서 장비 수요 강세 재확인(골드만삭스) 골드만삭스는 Semicon Taiwan 2026 현장 점검을 통해 대만 공급망 전반의 강한 설비투자 의지와 반도체 장비 수요의 견조함을 재확인했다. ✍️특히 TSMC가 2026년 7월 기준으로 예상한 2026년 장비 구매량은 2025년 말 전망의 1.9배로 확대됐다. 골드만삭스는 이러한 업황을 바탕으로 Lasertec, Disco, Tokyo Electron, Ebara에 대한 매수 의견을 유지했으며, Lasertec은 APAC Conviction List 종목으로 제시했다. Tokyo Electron은 강한 설비투자 수요에 대응해 장비 공급뿐 아니라 설치 후 생산능력 확대에 걸리는 시간을 줄이기 위한 지원 체계를 강화하고 있다. 코터·디벨로퍼,…
❤15👍7🔥2
삼성SDI ESS 부문 실적 추이 및 전망(HSBC 추정치 재구성) - 2027년부터 ESS향 AMPC 증가로 인해 이익 규모 및 이익률 확대
❤26👍14🔥2
❗️ YM리서치 Premier 12기 신규 구독 리마인더(~9/6 일요일 마감) YM리서치 Premier 12기 신규 구독 신청이 이번주 일요일 마감됩니다. 많은 관심 부탁드립니다❤️ - 운영기간 : 2026년 9월 1일 ~ 2026년 11월 30일 - 가입기간 : ~ 2026년 9월 6일(일) - 구독링크 : https://forms.gle/yd3cmqmw6u3Toi7Q8
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8조 들인 정의선의 승부수…저탄소 車강판 만들 현대제철 美제철소 첫발 https://n.news.naver.com/mnews/article/020/0003745965 나머지 90만 t의 일반 강판은 현대차그룹 로봇 계열사 보스턴다이내믹스의 휴머노이드 로봇 ‘아틀라스’ 등에도 쓰일 전망이다. 해당 제철소에서 만들어질 철강이 아틀라스에도 적용될 수 있냐는 취재진 질문에 정 회장은 “당연히 적용해야 된다고 생각하고 더 열심히 해서 스페이스X 등 로켓에도 철강을 공급할 수 있었으면 좋겠다”고 했다.
👍16❤9🔥2
Photo, posted without a caption
❤20👍8🔥1
마이클 델 회장이 세계 최초의 양산형 엔비디아 Vera Rubin NVL72 랙을 코어위브에 인도했다고 발표
❤27👍11🔥1
중국 GPU 자급률 추이 전망(Base case, 모건스탠리) - 내년부터 다시 자급률이 높아지기 시작하면서 2030년 70% 예상 - 미국 수출통제의 협상력이 시간이 갈수록 약해지고 중국 반도체 공급망의 전략적 가치가 높아질 가능성이 높아질 상황
👍21❤10🔥5
제이에스링크, 북미 로봇 부품사 첫 양산 PO 수주 https://www.thebell.co.kr/front/newsview.asp?code=00&key=202609041041417320103784
❤21👍10🔥4
로보티즈를 좋아하는 골드만삭스 : 꽤 자주 인뎁스와 개별리포트로 다뤄주는 느낌 - (그림1) 2025년 실적을 기준으로 Reachy Mini와 Microduck 초기 물량을 단순 합산하면 매출은 389억원에서 455억원으로 17%, 액추에이터 수주량은 41만 개에서 74만 개로 80% 증가 - (그림2) 추정 증가 수요 33만 개는 2025년 생산능력 30만 개의 110%, 2026년 예상 생산능력 50만 개의 66%에 해당함
👍23❤12🔥2
9월 FOMC 금리인상 가능성(Fedwatch) - 전일 60%대 이상이던 25bp 인상 확률은 고용 데이터와 연준 위원들의 코멘트로 50%까지 하락
❤31👍7🔥6
📌 알테오젠(시가총액: 21조 10억) #A196170 📁 투자판단관련주요경영사항 (재조합 인간 히알루로니다제 제품 ALT-B4 독점적 옵션·라이선스 계약 체결) 2026.09.02 13:26:34 (현재가 : 301,500원, +0.17%) 제목 : 재조합 인간 히알루로니다제 제품 ALT-B4 독점적 옵션·라이선스 계약 체결 * 주요내용 ※ 투자유의사항 본 계약은 의약품규제기관의 허가가 완료되어야 이행되는 조건부 계약으로서, 본 계약을 통한 수익 인식은 임상시험과 품목허가 등의 성공 여부에 따라 달라질 수 있습니다. 계약 조건에 따라, 규제기관에 의한 연구 개발의 중단, 품목허가 실패 등 발생시 계약이 해지될 수 있습니다. 1. 계약상대방: Novartis Pharma AG (스위스) - Novartis 최근 …
❤23👍7🔥3
Showing the 12 most recent of 133 posts we hold for @ym_research. 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.
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
Republishes
Channels on the register whose posts this channel has forwarded.
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 10 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.
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 2 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 16 seed channels' Telegram-generated recommendation lists in total. 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 5 September 2026 — this entry's latest reading, not the date you are reading this.
“YM리서치” (@ym_research), 39,984 subscribers as measured 5 September 2026. Telegram Register, tgregister.com/channel/ym_research.
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.