FlashProve—验证AI模型身份的开源系统 Anthropic 正在开发一个名为 FlashProve 的开源系统,旨在验证 AI 模型输出的真实来源。这个系统能通过密码学证明,确认某个输出确实来自用户所认为的特定模型,就像电子邮件签名一样,能够抵御冒充 FlashProve 的核心在于,它要求 AI 实验室发布其模型的“指纹”。这些指纹不会泄露模型内部的权重,即那些决定模型行为但通常被 OpenAI 等公司保密的参数。这意味着公司可以在不暴露核心资产的前提下,让用户通过轻量级的本地验证来确认 AI 的身份。这不仅可以防止 AI 公司偷偷更换低成本模型,或夸大模型性能,也能帮助第三方验证特定任务是否由声称的高级模型完成。FlashProve 的研究进展和工作代码已在 GitHub 开源,但 Anthropic 表示目前还没有部署计划,鼓励社区共同改进 🔗 信源 🗝 Roller | AI 中文社区

Channel
Roller | Agent Swarms 中文社区
@rollerrolling
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Stars · Posts · Posts edited after publishing · Posts recorded as deleted · Polls · Citations · Telegram's recommendations · Cite this entry
8,510subscribers
-135 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of 3,162–10,000.
Register entry
| Telegram ID | -1001529625156 |
|---|---|
| Type | Channel |
| Username | @rollerrolling |
| Description | 有趣的 AI 科技日记 💬 群组: t.me/+XThkfMjY1bRiYTVh 🪄 由@bnl5110和@endingwalker一同撰写 #DeepSeek #GenAI #AIGC #互联网 #科技 #人工智能 #AI产品 #ChatGPT #Claude 谢谢订阅,喝杯茶再走?🍵 |
| Created | Between 1 August 2021 and 28 February 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 6 August 2026 |
| Last confirmed live | 10 November 2026 |
| Measurements held | 25 |
| Confirmed unchanged | 3 times, most recently 10 November 2026 |
| On Telegram | t.me/rollerrolling |
Topic
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 11 September 2026 and assigned it the closest of 31 fixed categories, at 96% 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 the other topics.
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 3 Nov 2026, 03:46 | 8,510 | -2 |
| 31 Oct 2026, 08:15 | 8,512 | -7 |
| 27 Oct 2026, 22:44 | 8,519 | +3 |
| 25 Oct 2026, 03:55 | 8,516 | -10 |
| 22 Oct 2026, 10:56 | 8,526 | -5 |
| 19 Oct 2026, 00:10 | 8,531 | -8 |
| 15 Oct 2026, 13:28 | 8,539 | -2 |
| 12 Oct 2026, 14:58 | 8,541 | +5 |
| 5 Oct 2026, 15:40 | 8,536 | -1 |
| 28 Sept 2026, 08:38 | 8,537 | -30 |
| 18 Sept 2026, 11:39 | 8,567 | +1 |
| 14 Sept 2026, 02:38 | 8,566 | -7 |
| 10 Sept 2026, 20:18 | 8,573 | +15 |
| 6 Sept 2026, 01:17 | 8,558 | +12 |
| 1 Sept 2026, 11:29 | 8,546 | -4 |
| 29 Aug 2026, 01:42 | 8,550 | -24 |
| 25 Aug 2026, 20:43 | 8,574 | -17 |
| 22 Aug 2026, 23:15 | 8,591 | -15 |
| 19 Aug 2026, 18:15 | 8,606 | -2 |
| 16 Aug 2026, 19:53 | 8,608 | first reading |
Engagement
44 posts held, back to 19 August 2025 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 43 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 8.19%
- avg views ÷ 8,510 subscribers
- Avg views / post
- 697
- 17 posts measured
- Reaction rate
- 0.413%
- reactions ÷ views · ER floor
- Posts in window
- 17
- of 44 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 8 of 17 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 8 November 2026 |
|---|---|
| Posts held | 44 (19 August 2025 – 8 November 2026) |
| Views total | 11,853 |
| Reactions total | 24 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 11 Nov 2026, 00:31 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.
What this channel posts
- Photos
- 540
- Videos
- 247
- Links
- 486
Lifetime counters from Telegram’s own channel header, read 11 November 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.
- Video runtime
- 43m 18s
- Average length
- 2m 42s
Measured directly from 16 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.
Reaction mix
181 reactions across 29 posts, in 14 distinct kinds. The most used accounts for 46.4% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 84 | 46.4% | |
| 👍 | 31 | 17.1% | |
| 🆒 | 29 | 16.0% | |
| 💯 | 6 | 3.31% | |
| 👀 | 4 | 2.21% | |
| 🔥 | 4 | 2.21% | |
| 🤡 | 4 | 2.21% | |
| 🥰 | 4 | 2.21% | |
| 🦄 | 4 | 2.21% | |
| ❤🔥 | 3 | 1.66% | |
| 🎉 | 3 | 1.66% | |
| 🤓 | 3 | 1.66% | |
| 👎 | 1 | 0.552% | |
| 😁 | 1 | 0.552% |
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 31 of the 44 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 181 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 44 most recent posts we hold, published 19 August 2025 to 8 November 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.
Telegram Stars
- Stars received
- 1
- across the posts below
- Posts paid on
- 1
- of 44 we hold a reading for · 2%
- Most on one post
- 1
- single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @rollerrolling. 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 44 most recent posts we hold for this entry, published 19 August 2025 to 8 November 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.
Recent posts
Telegram’s own ‘edited’ marker: 4 of 17 posts held from the last 30 days (23.5%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).
Fal—AI推理,估值飙升至 $160亿 旧金山初创公司 Fal,专注于托管和运行 AI 视频、图像、音频模型,近期完成了一轮 13 亿美元融资,由 Bessemer Venture Partners 领投,Nvidia、Sound Ventures 和 T. Rowe Price 等参投 这笔交易使 Fal 的估值达到 160 亿美元,是其今年 4 月 80 亿美元估值的两倍。彭博社报道指出,Fal 今年初的年化收入已突破 8 亿美元 此次融资正值 AI 推理服务需求激增之际,特别是那些依赖开源模型的客户。推理服务指的是运行已训练好的 AI 模型以生成输出的过程。Fal 于 2021 年由前 Coinbase 机器学习负责人兼 Oracle 工程师 Burkay Gur,以及前 Amazon 开发者 Gorkem Yurtseven 共同创立。尽管该领域增长迅速,但由于购买或租赁计算资源成本高昂,其毛利率普遍不高 本次…
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☎️ 下次打客服电话,让这个AI替你等 ⭐️ Features • 随时用 iMessage 联络它 • 帮你扫描邮件取消订阅 • 帮你盯你追踪的项目发布时间 • 帮你打电话预定餐厅 👀 最近所有的 AI 巨头都在上演 personal agent 大战,除了大家都有所闻的 Grok Bot,ChatGPT Dot,Meta Muse,或许大家也听说过刚刚完成10亿美元 的 C 轮融资 Instinct AI 🩶 不过我今天想要介绍一下 Tab Bot,如同 Instinct AI 一样,你可以直接在 iMessage 或 WhatsApp 里给它发消息,但是不同于其他的 agent,他还可以让它帮你订餐厅、买机票,甚至打客服电话 🍴 最近我常常在请它帮忙打电话预定海外的餐厅,跟酒店确认提早入住和绑定会员账号。除此之外,他们的新功能是你可以把它拉进群里,下次约饭直接让它帮忙订位 🗝️ 这款产品目前还在内测,但是我们拿…
❤3🆒1
OpenShell—NVIDIA为AI代理造了个“监狱” NVIDIA 推出了 OpenShell,一个开源项目,旨在为 AI 代理构建安全的运行环境。它为 AI 代理提供了必要的权限来读取文件、安装包、调用 API 和使用凭据,同时通过细粒度策略控制,避免代理对你的数据、机密或网络进行无限制访问。即使代理行为异常或被劫持,也会受限于 OpenShell 设定的安全边界 OpenShell 通过两种方式管理 AI 代理行为:首先,它会修改内核以在运行时对文件访问、系统调用和网络连接强制执行策略;其次,它会使用形式化验证,在策略更改生效前检查其可能带来的新权限,确保不会意外开放高风险访问。这意味着用户可以精确设定每个代理的权限,例如允许读取 GitHub API 但禁止发布 该项目支持 Claude Code、Codex、OpenCode 和 GitHub Copilot CLI 等多种代理,以及 Ollama、OpenCl…
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撕下防备谈OpenAI内部进展 🎙️ AYi 分享了 Stripe 创始人 John Collison 专访 OpenAI CEO Sam Altman 的内容。Altman 在这场 52 分钟的访谈中,首次透露了 OpenAI 内部最前沿的技术进展、数学突破以及他对“旧世界”终结的复杂情绪 🤯 访谈中信息密度最高的部分,是被称为“Hold My Beer”的数学攻坚周末。Altman 提到,当团队用新模型攻克人类最难的前沿科学难题时,模型展现了惊人的能力。仅在 Navier-Stokes 方程相关的证明上,他们投入了价值 1000 万美元的算力,这相当于瞬间完成了人类数亿美元的科研工作量。Altman 在亲眼见证这一切后,兴奋失眠了两晚,随后涌上心头的是巨大的悲伤,他感觉人类纯智力劳动的殿堂正被算力不可逆地封存 🤖 Altman 认为 Agent 不仅仅是互相传递消息的聊天机器人,他更喜欢称之为“Agent Teams”…
👍2❤1🔥1
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Anthropic 拿出5% 股份成立慈善基金 💡 Anthropic 宣布计划成立一个慈善基金,将其 5% 的股份注入其中。如果 Anthropic 在 IPO 后市值达到 2 万亿美元,这笔基金的规模将达 1000 亿美元。该基金将以全资有限责任公司形式运作,从而灵活地向非营利组织捐款或直接资助特定群体。这项承诺建立在该公司联合创始人捐赠 80% 股权的基础之上 📄 类似地,OpenAI 也由一个非营利基金会控制,该基金会持有公司 26% 的股权,目前估值约 1300 亿美元,并有权任命 OpenAI 的董事会 🔗 信源 🗝 Roller | AI 中文社区
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AI基础设施暴露风险激增中 📊 网络安全公司 Censys 的数据显示,过去九个月里,暴露在公共互联网上的 AI 相关基础设施数量激增了 63%。截至今年 7 月,Censys 识别出近 26.8 万个面向互联网的系统,运行着 44 种不同的 AI 相关产品,而 2025 年 10 月这一数字约为 16.4 万个 ⚠️ AI 应用催生了庞大的软件层。这些工具常与敏感的企业数据和服务相连,为黑客访问公司系统提供了潜在入口。企业在追踪和保护现有软件方面已面临挑战,员工自行构建 AI 应用后,问题变得更复杂,因为这些新应用可能连接到公司敏感信息如电子邮件、财务记录和内部数据库 🔎 最广泛暴露的产品是工作流自动化平台 n8n,它能连接 AI agent 到其他应用。Censys 发现近 11.4 万个面向互联网部署的 n8n,其中约 7.7 万个运行的软件版本存在至少一个近期披露的关键漏洞。此外,研究人员还发现超过 5.4 万个 …
Showing the 12 most recent of 44 posts we hold for @rollerrolling. 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.
Posts edited after publishing
@rollerrolling 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.
- First edit seen
- 4 November 2026
- Most recent edit
- 4 November 2026
Posts recorded as deleted after publishing
We recorded 1 post on @rollerrolling as deleted — posts this register held that were missing from the channel’s public page on two separate reads, taken from different network addresses at least an hour apart.
A deletion is not wrongdoing. This register can see that a post it held is no longer on the channel’s public page, and when — not why. Expired ad placements, reposts, rotating links and corrections all look the same. This is a count of recorded detections, not an exact total: it misses deletions we could not see, because only a post we held and later re-read inside the page can be seen to go, and it may include a small number of wrong records. How this is measured.
- First seen missing
- 4 November 2026
- Most recent seen missing
- 4 November 2026
- Median time before seen missing
- 9 days
- Seen missing in the last 30 days
- 1
Polls
The poll we hold for this entry, as Telegram rendered it when we read the post. A poll’s figures keep moving after that, so each one is dated.
你觉得我们频道最近内容如何
- 希望再多发一点20%
- 希望再有趣一些10%
- 希望多一些 AI 内容42%
- 希望多一点创意内容16%
- 看结果12%
Shares as published. No per-option vote count is published by Telegram, so none is shown.
Percentages only — there are no per-option vote counts here, because Telegram publishes none. The public post preview gives each option’s share and a single voter total, and nothing else. Multiplying one by the other would produce a per-option tally that looks measured and is not: the shares are rounded to whole numbers before we ever see them. We print what was published and leave the column that does not exist empty.
The shares need not add up to 100. Rounding alone puts many polls at 99 or 101. A poll that allows more than one answer per voter runs well past 100 by design, and several here do. The bars are drawn against a fixed 100% track at each option’s own percentage rather than normalised to the total, so a poll that exceeds it shows that it does instead of being quietly rescaled.
Read from the 44 most recent posts we hold, published 19 August 2025 to 8 November 2026. Telegram labels each poll by kind — an anonymous poll, a quiz, a closed set of final results — and that label is reproduced rather than paraphrased.
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.
Mentions
Named by 7 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.
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.
Appears in Telegram’s recommendations for other channels
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.
@kejiqu · 36,774
Telegram ranks this channel #22 of 48 here — alongside 47 others — read 1 September 2026
@weekly_books · 38,252
Telegram ranks this channel #26 of 59 here — alongside 58 others — read 31 August 2026
@AppDoDo · 40,978
Telegram ranks this channel #32 of 57 here — alongside 56 others — read 30 August 2026
@piracy6 · 77,993
Telegram ranks this channel #49 of 61 here — alongside 60 others — read 19 August 2026
This channel appears in 4 seed channels' Telegram-generated recommendation lists in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.
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 3 November 2026 — this entry's latest reading, not the date you are reading this.
“Roller | Agent Swarms 中文社区” (@rollerrolling), 8,510 subscribers as measured 3 November 2026. Telegram Register, tgregister.com/channel/rollerrolling.
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.