AI칩 직접 만든다…머스크, 텍사스에 초대형 '테라팹' 건설 이번 투자의 배경에는 급증하는 AI 연산 수요가 있다. 스페이스X와 테슬라는 앞으로 필요한 컴퓨팅 성능이 1테라와트(TW)를 넘을 것으로 예상하고 있으며, 글로벌 반도체 공급 부족을 자체 생산으로 보완한다는 계획이다. 머스크는 성명에서 “테라팹은 미국에 최첨단 제조시설을 구축하고 수천 개의 양질의 일자리를 창출하는 동시에 지구와 우주에서 사용할 AI 반도체를 대규모로 생산할 수 있도록 할 것”이라고 말했다. 공장에서는 최소 3000명을 고용할 예정이다. 이번 투자는 AI 반도체를 외부 공급업체에 의존하기보다 직접 설계·생산하는 수직계열화 전략을 강화하려는 움직임으로 해석된다. 특히 테슬라의 로봇과 자율주행 사업, 스페이스X의 우주 인프라 사업이 모두 대규모 AI 연산 능력을 …

Channel
AstroBoy Robotics
@AstroBoyAeroSpace
On this record: Growth · Engagement · Reactions · Posts · Citations · Cite this entry
1,388subscribers
-1 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 | -1002068245086 |
|---|---|
| Type | Channel |
| Username | @AstroBoyAeroSpace |
| Created | Between 1 November 2023 and 31 May 2024— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 30 August 2026 |
| Measurements held | 6 |
| Confirmed unchanged | 1 time, most recently 30 August 2026 |
| On Telegram | t.me/AstroBoyAeroSpace |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 30 Aug 2026, 21:07 | 1,388 | +1 |
| 24 Aug 2026, 05:53 | 1,387 | -2 |
| 20 Aug 2026, 18:28 | 1,389 | -1 |
| 14 Aug 2026, 16:36 | 1,390 | +1 |
| 7 Aug 2026, 22:17 | 1,389 | no change |
| 7 Aug 2026, 14:08 | 1,389 | first reading |
Engagement
20 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 pageof Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 13.8%
- avg views ÷ 1,388 subscribers
- Avg views / post
- 191
- 20 posts measured
- Reaction rate
- 0.509%
- 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 2 of 20 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 6 August 2026 |
|---|---|
| Posts held | 20 (3 August 2026 – 6 August 2026) |
| Views total | 3,821 |
| Reactions total | 2 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 7 Aug 2026, 22:17 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
2 reactions across 2 posts, in 2 distinct kinds. The most used accounts for 50.0% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 1 | 50.0% | |
| 😁 | 1 | 50.0% |
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 2 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 2reactions 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 3 August 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
'현금흐름 적자' 알파벳, 또 36조 채권 발행…164조 청약 몰려 알파벳이 이처럼 적극적으로 대규모 빚 조달에 나서는 것은 AI 인프라 투자로 현금이 부족해지고 있기 때문이다. 알파벳은 올해 들어 연간 자본지출(CapEx)을 두 차례 상향 조정해 2천50억 달러(약 292조원)를 투입할 방침이다. 이와 같은 천문학적인 투자의 여파로 알파벳은 지난 2분기에 2004년 기업공개(IPO) 이후 처음으로 잉여현금흐름(FCF)이 적자로 돌아서기도 했다. 알파벳은 올해 들어 미국·유럽·일본 등 시장에서 연이어 채권을 발행해 500억 달러 이상을 조달했으며, 지난 6월에는 850억 달러 규모의 초대형 유상증자를 단행하기도 했다. 알파벳을 포함한 미국 주요 대규모 데이터센터 운영사들의 올해 채권 발행 규모는 지난달 7일 기준 1천940억 달러(약…
😁1
K-방산 프랑스 진출하나... 한화에어로,현대로템 '전격방문' 프랑스 국방위, 양사 창원공장 방문.. 천무,K2전차 등 생산시설 확인 https://www.thebell.co.kr/front/newsview.asp?click=F&key=202608021154021920103337
핵무기 관련 기업에 1436조원 몰려…'투자 배제' 흐름 뒤집혀 올해 핵무기 관련 기업 투자·융자 1조달러↑ 참여 금융기관 301곳…1년 새 16% 늘어 뉴스타트 실효·NPT 회의 3연속 결렬 등 영향 핵무기와 관련된 기업이나 사업에서 자금을 빼는 ‘다이베스트먼트’(투자 철회) 움직임이 시들해지고 있다. 국제 정세가 긴박해지면서 핵에 대한 관심이 높아진 영향으로, 금융기관의 투자·융자는 오히려 증가했다. 제동 없이 불어나는 ‘핵 머니’를 우려하는 목소리가 커지고 있다. https://n.news.naver.com/mnews/article/018/0006345537?sid=104
美 스페이스X, 2분기 7700억 원대 순손실…AI·우주개발 투자 부담 [KDF World] 미국 우주개발기업 스페이스X가 인공지능(AI)과 우주개발 분야에 대한 대규모 투자 부담으로 2026년 2분기(4~6월)에도 적자를 기록했다. 5일 교도통신 등에 따르면 스페이스X는 4일(현지시간) 실적 발표를 통해 2026년 2분기 순손실이 5억 4100만 달러(약 7700억 원)로 집계됐다고 발표했다. 지난해 같은 기간(10억800만 달러 적자)과 비교하면 적자 폭은 줄었지만 AI와 우주사업 관련 연구개발 비용이 수익성을 계속 압박한 것으로 나타났다. https://www.kdfnews.com/news/articleView.html?idxno=186145
레버리지가 만든 공포, 퇴근길 ETF 거래도 두렵다 레버리지 변동성 경험한 업계, 애프터마켓 ETF 거래 부정여론 운용사·LP증권사들 "애프터마켓 ETF거래 더 늦추자" 공감대 거래소, 운용사에서 거래가능 ETF 취합 후 추가 판단하기로 https://n.news.naver.com/mnews/article/648/0000049568
[보스턴다이내믹스 大해부]③ 두 번 바닥난 자본…따로 도는 상장시계·자본시계 https://n.news.naver.com/article/293/0000088673
엔비디아·테슬라 너머를 보라…휴머노이드 종착역은 '피지컬과 심장' [피지컬AI 핵심 밸류체인⑤] https://n.news.naver.com/mnews/article/050/0000109317?sid=101
삼성 '비밀병기' 휴머노이드가 움직인다...데이터·제조기술·자본 통합 https://n.news.naver.com/mnews/article/092/0002433083?sid=105
이란전서 사드 80% 쓴 미군… 대中·러 억지력 약화 ‘경고등’ 美 안보우산 ‘의구심’ 지휘부 “미사일 재고 위험 수준” 우크라 주던 에이태큼스도 소진 美 방산 생산량, 수요 못 따라가 트럼프 “탄약량 많아” 정면반박 “호르무즈 개방 곧 합의” 자신도 https://n.news.naver.com/mnews/article/022/0004148718?sid=104
주춤한 우주ETF … 돈 되는 위성통신株로 확장 https://n.news.naver.com/mnews/article/009/0005717169?sid=101
스페이스X,실적발표보다 더 큰 난관,6일부터 보호예수 해제 최대 9억1,200만주 단계적으로 시장 풀릴 수 있어 첫 분기 실적,예상외 손실 감소에도 주가 10% 이상 급락 https://n.news.naver.com/mnews/article/015/0005317828?sid=101
Showing the 12 most recent of 20 posts we hold for @AstroBoyAeroSpace. 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 — 1,314,973 of 1,627,445entries 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
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
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 30 August 2026 — this entry's latest reading, not the date you are reading this.
“AstroBoy Robotics” (@AstroBoyAeroSpace), 1,388 subscribers as measured 30 August 2026. Telegram Register, tgregister.com/channel/AstroBoyAeroSpace.
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.