Channel
@blockschool
On this record: Growth · Engagement · What this channel posts · Posts · Citations · Cite this entry
471subscribers
+0 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1001242224686 |
|---|---|
| Type | Channel |
| Username | @blockschool |
| Description | 🚀 https://linktr.ee/junheony |
| Created | 25 May 2018 — measured — cross-checked against a third-party dataset (ext.tg_channel) |
| First recorded | 6 August 2026 |
| Last confirmed live | 7 August 2026 |
| Measurements held | 2 |
| On Telegram | t.me/blockschool |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 6 Aug 2026, 19:02 | 471 | no change |
| 6 Aug 2026, 18:06 | 471 | first reading |
15 posts held, back to 14 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 1 pageof 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 5 August 2026 |
|---|---|
| Posts held | 15 (14 July 2026 – 5 August 2026) |
| Views total | 458 |
| Reactions total | — |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 6 Aug 2026, 19:02 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 August 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.
LLM은 전문성을 보상함 - LLM 덕분에 누구나 여러 분야에서 준수한 결과를 만들 수 있지만, 같은 모델에서 더 큰 가치를 끌어내는 핵심은 프롬프트 기법보다 도메인 전문성임 - Terence Tao는 Jacobian Conjecture의 반례를 ChatGPT와 논의하며 짧고 핵심적인 질문, 간접적인 반박, 독자적인 도약과 대안으로 대화를 주도함 - 이 방식을 형식만 따라 해서는 같은 결과를 얻기 어려우며, 긴 답변에서 관련 아이디어를 추출하고 이상한 부분을 판별하는 수학적 이해가 필요함 - 코드베이스에 익숙한 개발자 역시 “더 단순하게 할 수 있지 않은가”, “이미 X를 하… https://news.hada.io/topic?id=32119
#binance #stockmeme
Photo, posted without a caption
https://platform.claude.com/docs/en/build-with-claude/prompt-engineering/prompting-claude-opus-5 Claude 에서 Opus5 프롬프트 가이드를 공개했습니다. GPT-5.6-sol 이나 opus 5 를 쓰다보면 하루종일 Test code 만 작성하는 일이 있는데 자율성이 증가해서 그렇다고 하네요. 5. 검증을 중복해서 시키지 말 것 Opus 5는 별도로 시키지 않아도 자신의 작업을 검증하고 오류를 수정하는 성향이 강합니다. 따라서 기존 프롬프트에 다음 지시가 있다면 제거하는 것이 좋습니다. “모든 작업이 끝나면 반드시 최종 검증하라” “서브에이전트를 이용해 결과를 검증하라” “응답 전에 다시 한번 확인하라” “답을 double-check하라” 이런 지시는 모…
요청받은 작업을 의도된 범위에서 끝까지 완료하라. 미구현 placeholder나 불필요한 후속 작업을 남기지 마라. 답변은 핵심 위주로 간결하게 작성하라. 상세 설명을 요청하지 않았다면 결과와 고수준 요약부터 제공하라. 작성 문서에는 중복 요약, 형식적인 섹션, 분량을 위한 문구를 추가하지 마라. 첫 번째 도구 호출 전에 작업 방향을 한 문장으로 설명하라. 작업 중에는 중요한 발견이 있거나 접근 방식이 변경될 때만 짧게 진행 상황을 보고하라. 완료 응답은 결과부터 말하라. 일상적인 판단은 직접 내리고, 해석에 따라 결과가 실질적으로 달라지는 경우에만 질문하라. 더 좋은 접근법이나 요청의 오류를 발견하면 짧게 알리되, 요청된 작업은 계속 수행하라. 서브에이전트는 규모가 크고 독립적으로 병렬화할 수 있는 작업에만 사용하라. 직접 몇 번의 …
Elon Musk의 2036년 시나리오 source 1. 머스크는 5년 안에 AI가 인류 전체의 지능을 넘어설 수 있다고 전망. 다만 디지털 AI만으로는 경제를 완전 바꿀 수 없음. AI가 현실에서 상품/서비스를 생산하려면 휴머노이드 로봇이라는 몸이 필요 2. 결국 미래 경제는 AI라는 두뇌 + 로봇이라는 손발의 결합임. 디지털 업무가 먼저 자동화되고, 이후 제조·물류·서비스 등 물리적 노동까지 대체되면서 인간의 노동은 생존 수단이 아닌 선택적 활동이 됨 3. AI 경쟁의 진짜 병목은 모델 성능보다 전력·냉각·반도체임. 중국 외 지역은 전력과 냉각이 부족하고, 중국은 첨단 AI 칩이 부족함. AI 패권은 에너지와 제조 역량의 경쟁에 가까워지고 있음 4. 장기적으로 AI, 로봇이 생산량을 폭발시키면 인플레보다 디플레가 문제가 될 것. 다…
Posted without readable text
https://x.com/i/status/2080718069622591632
https://x.com/i/status/2080635430056116239
https://x.com/i/status/2080619885319860298
https://x.com/i/status/2080699495453528290
Robinhood - CashCat 온체인 분석 시리즈 목차 1. Cashcat은 어떻게 200M을 갔나? - 자금 유입 phase 1, 2 - 세력의 존재 근거들. 재단 or 자금세탁? 2. Dev cluster 분석 - 총 얼마 벌었나? - 보유량/매매 패턴 3. 천상계 플레이 다시보기 - 빛 - 패턴분석 4. 블록타임/시기별 유입과 수익률 분석 - private 런칭시기 / Noxa,CC배포 전후 / public 후 5. 밈코에 대한 접근 - 반면교사 6. KOL 클러스터 조사 7. 마무리 - 툴 링크 - why?
Showing the 12 most recent of 15 posts we hold for @blockschool. 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.
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.
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.
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 6 August 2026 — this entry's latest reading, not the date you are reading this.
“아는만큼 보인다” (@blockschool), 471 subscribers as measured 6 August 2026. Telegram Register, tgregister.com/channel/blockschool.
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.