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絕對回報

@AIreturn

On this record: Growth · Engagement · Posts · Cite this entry

573subscribers

-3 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-1001245944187
TypeChannel
Username@AIreturn
CreatedBetween 1 March 2018 and 31 July 2021— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded8 August 2026
Last confirmed live23 August 2026
Measurements held3
Confirmed unchanged1 time, most recently 23 August 2026
On Telegramt.me/AIreturn

Growth

573576574.57 August 2026 — 576 subscribers8 August 2026 — 576 subscribers23 August 2026 — 573 subscribers7 August 202623 August 2026
3 measurements spanning 16 days, net -3. 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 573–576 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
23 Aug 2026, 06:25573-3
8 Aug 2026, 03:30576no change
7 Aug 2026, 13:39576first reading

Engagement

16 posts held, back to 14 January 2026the 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.

Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 16 posts for this entry, the most recent from 14 July 2026. An engagement rate over an empty window would be a number about nothing.

Recent posts

14 Jul 2026, 03:42 UTC152 viewsread 8 August 2026
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新 project 努力超過1個月, Claude fabel 又令我覺得過去1個月我還是錯誤使用AI... 還要繼續努力跟各位AI大神請教/交流🤝🏻🤝🏻 Q: How many times we spent on finding alpha or develop the (new) system to find it already 短答案:我們已投入約 360 個 agent-hours 找 alpha/建 alpha 系統。 累計 Codex active task time:367.5 小時 扣除平行任務重疊:352.0 小時 約 44–46 個 8 小時工作天 2026-06-06 至 07-12 間有 36 個活躍日 這仍是下限:未包括 6 月前工作、Claude/其他 agents 及 Dennis 的人手時間 投入分布: Alpha Factory:229.0 小時 Alpha 2:111.1 小時 flow

21 Apr 2026, 10:24 UTC359 viewsread 8 August 2026
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Brent 重回 $100 、 再跌穿過80、Hormuz 仍封鎖中——這是「能源股買點」的故事? 先來温習一下這張亞洲新興市場的脆弱度地圖. Bloomberg Economics 最新數據顯示,亞洲幾乎壟斷全球最曝險名單: 🔴 泰國:淨原油進口佔 GDP 超過 6%,單一國家曝險全球最高 🟡 新加坡 / 南韓:4-5% 區間,煉油樞紐雙刃劍 🟡 印度 / 菲律賓:3-4%,且本身就跑 current account deficit 🟢 加拿大 / 美國:能源淨出口或中性,相對受益方 三個被市場低估的 second-order effect: 1️⃣ 印度盧比已跌至 94.19 / USD 歷史新低——原油佔進口 80%+,每 $10/bbl 漲幅吃掉 CA 餘額 0.4pp(Nomura 數據) 2️⃣ 韓圜被動貶值被 AI 敘事掩蓋——出口商囤美元不兌換,本土 FX 供給緊縮,KRW depreciatio

6 Apr 2026, 05:07 UTC357 viewsread 8 August 2026
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https://www.threads.com/@aireturn88/post/DWxyHNIEoS5?xmt=AQF0gpaZrZ7LbsB-O8l3dqQJlrIKn0U7CYgThlxJhdfrZC1JBtKU7-iFfaBnl2fa5WMHx8A&slof=1

1 Apr 2026, 00:38 UTC322 viewsread 8 August 2026

深圳華強北上周起爆發 DDR5 記憶體拋售,32GB DDR5 從約人民幣 3,000 元驟降 500~1,050 元,單周跌幅最高逼近 35%。 美國市場也同步回檔,Amazon 上海盜船 32GB DDR5 一周內從 539.99 美元降至 459.99 美元。 三大崩跌原因: 1. 終端需求不振 — 高通路價抑制 DIY 組裝意願,TrendForce 已將 2026 年全球筆電出貨預估從年減 9.2% 下修至年減 14.8%。 2. 通路商恐慌清倉 — 去年漲價週期中通路累積大量囤貨,價格鬆動後為求周轉率「降價換現金」,引發踩踏式拋售。 3. Google TurboQuant 衝擊 — 該演算法宣稱可減少大模型 60% 記憶體佔用,雖主要影響伺服器緩存層級,但對脆弱的市場情緒投下震撼彈。 但合約價反向走漲: DDR5 顆粒與模組的合約價漲勢預計從 Q2 延續至下半年。原因是 AI 伺服器記憶體需求量是傳統伺服器

24 Mar 2026, 03:05 UTC275 viewsread 8 August 2026
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#polymarket #war -74% 人認為12月31日前都未能停火, -6月底前停到都有63% , 意味若這3個月來未能停止, 大家認為會變了長期戰爭. -昨天美國方面己經暫停攻擊, Some Reports indicate that Turkey, Egypt, and Pakistan have been involved as regional intermediaries in messaging between the United States and Iran. 但是大家認為3月底前能解決都只是維持15%

11 Mar 2026, 05:01 UTC290 viewsread 8 August 2026
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Claude Code vs CODEX Benchmarks are Close, But with Nuances: Token Economics The biggest performance difference isn't accuracy, but token efficiency. A comprehensive review on the Opus vs. Codex done by Morph shows an interesting gap. https://x.com/hesamation/status/2031418875946958915?s=46&t=cOZ5fgBmabwg2OA9hwlc5A

11 Mar 2026, 04:46 UTC329 viewsread 8 August 2026
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🦞愛吃中國大模型 #openclaw #MiniMax 上周3月2日-8日,中美大模型活跃度出现明显分化,具体调用总量情况如下: 中国:4.19T tokens(↑34.9%) 美国:3.63T tokens(↓8.5%) 上周全球大模型調用量Top 5中,中國產品佔據三席。 MiniMax M2.5表現穩健,繼續蟬聯全球榜首;DeepSeek V3.2持續保持增長趨勢;Step 3.5 Flash成為上周最大黑馬,成功躋身全球前五。 編程(包括代碼生成、調試、開發)使用情況,上周前三分別是MiniMax M2.5、#Kimi K2.5、 #Claude Opus 4.6

Showing the 12 most recent of 16 posts we hold for @AIreturn. 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.

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 23 August 2026 — this entry's latest reading, not the date you are reading this.

“絕對回報” (@AIreturn), 573 subscribers as measured 23 August 2026. Telegram Register, tgregister.com/channel/AIreturn.

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.