Crypto & trading — 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 18 September 2026 and assigned it the closest of 31 fixed categories, at 93% 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.
Growth
13 measurements spanning 42 days, net -20. 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 1,242–1,268 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
19 Sept 2026, 00:19
1,245
-3
11 Sept 2026, 02:37
1,248
-3
5 Sept 2026, 17:16
1,251
-1
1 Sept 2026, 17:58
1,252
-1
29 Aug 2026, 20:53
1,253
-1
26 Aug 2026, 11:43
1,254
-1
23 Aug 2026, 14:25
1,255
-4
20 Aug 2026, 00:02
1,259
-1
17 Aug 2026, 09:48
1,260
-1
13 Aug 2026, 16:36
1,261
-1
8 Aug 2026, 00:08
1,262
-3
7 Aug 2026, 22:48
1,265
no change
7 Aug 2026, 18:17
1,265
first reading
Engagement
14 posts held, back to 7 February 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 page of 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 14 posts for this entry, the most recent from 18 May 2026. An engagement rate over an empty window would be a number about nothing.
What this channel posts
Video runtime
4m 39s
Average length
2m 20s
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.
Reaction mix
598 reactions across 14 posts, in 22 distinct kinds. The most used accounts for 37.3% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
👍
223
37.3%
🔥
149
24.9%
❤
92
15.4%
🤝
22
3.68%
⚡
19
3.18%
🏆
15
2.51%
👏
13
2.17%
💯
13
2.17%
❤🔥
7
1.17%
🙏
7
1.17%
🎉
5
0.836%
🕊
5
0.836%
🥰
5
0.836%
🦄
5
0.836%
🐳
4
0.669%
🤩
4
0.669%
✍
2
0.334%
😍
2
0.334%
🤔
2
0.334%
🤡
2
0.334%
2 further kinds
2
0.334%
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 14 of the 14 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 598 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 14 most recent posts we hold, published 7 February 2026 to 18 May 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
133
across the posts below
Posts paid on
12
of 14 we hold a reading for · 86%
Most on one post
52
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @OneWorldAI_channel. 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 14 most recent posts we hold for this entry, published 7 February 2026 to 18 May 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.
🔄 Swap is now in production
We have moved the swap functionality into production mode 🚀
This is one of the most important wallet updates we’ve released recently.
For more than a month, we worked on the swap, tested real user scenarios, fixed issues, and completely rebuilt the integration with the 1Click bridge.
The amount of work turned out to be much bigger than we initially expected.
That is why today’s release …
🔄 Public Testing of Decentralized Swap is Now Open
We’ve opened public testing of the decentralized swap in the wallet. 🚀
Many of you have already noticed that we added new networks — this is exactly what enables the swap to work.
Here’s how it’s structured:
🌐 The swap involves three networks:
• NEAR — used for routing via NEAR Intents and the OneClick bridge
• BNB Chain (BSC) — used for USDT (both for buying a…
🚀 Product Updates
Here are the latest updates in the app.
🖥️ In the Your Nodes section, detailed information about rented nodes is now available. You can see the start and end time of each node, the list of epochs included in the rental, and how much GNK was generated in each of them. This gives a clearer and more transparent view of performance.
💰 We have also started processing compensation for users who had mis…
🗳 How community governance works in Gonka
In the Gonka AI network, decisions are made by the community, not a single company.
Here’s a real example:
In epoch 158, mining rewards were not received.
After that, the mining community proposed a solution —
to create a budget proposal for compensation.
Such proposals are put to a vote,
and if the majority supports them, they are executed using the network’s treasury.
…
🚀 Wallet Update — Claim is Now Available
We’ve released an update to the wallet, and Claim is now live.
You can now start claiming your mined GNK directly to your wallet address.
Here’s how it works:
1️⃣ First, claim 1 GNK to your wallet.
2️⃣ Make at least one outgoing transaction from your wallet.
3️⃣ After that, you can claim a larger amount.
This step ensures that your wallet address is active and fully under…
✅ Update Completed
The system update is complete and all applications are back online. 🚀
Claim and swap are not yet available for use, but all core infrastructure for these functions has now been prepared. The next step will be enabling them publicly.
This release also includes a major upgrade to the referral program.
You can already log in and check your referral dashboard — there are significant
Please note: t…
Planned Update — Temporary Maintenance
Today we are deploying a major system update. ⚙️
For approximately 2 hours, our applications will be temporarily unavailable.
This update includes:
• preparation for the upcoming token Claim functionality
• integration groundwork for token swap inside the wallet
• internal stability improvements
We’re taking this time to ensure the next stage of wallet functionality works…
Protocol Update: Collateral Requirement for ML Nodes from Epoch 180
Starting from epoch 180, the Gonka AI protocol introduces a collateral requirement for ML nodes.
We are technically prepared for this update. The required collateral will be provided shortly. No action is needed from participants. This is another advantage of working with us — we handle all infrastructure tasks on our side and implement changes on …
I see your questions — about Claim, dashboard updates, and the current market situation. 📈
That focus makes sense. We’re all here for results.
Right now, we’re strengthening the infrastructure behind everything you see.
Claiming tokens, wallet stability, correct address generation, reliable transactions — all of this must work smoothly and predictably. Blockchain requires precision, so we move carefully to ensure e…
🤔 Why there is no real control in most AI services
(post 3 of 7)
Today, many people use AI every day.
✍️ Writing texts.
🎨 Generating images.
📄 Analyzing documents.
But there is one simple reality:
When you upload data to a typical AI service,
you send it to someone else’s server.
You don’t see:
• 🌍 where exactly it is processed
• 👀 who might have access to it
• ❌ whether you can permanently revoke that acces…
🚀 We’re now 4th among validators — thank you, community!
Today our validator reached 4th place in the overall validator ranking.
This is a strong result — and it didn’t happen by chance.
Thank you to everyone in the community 🤍
Your participation — running servers, testing, feedback, and patience — directly contributes to the growth of decentralized AI within the Gonka AI ecosystem.
This milestone is the result of…
🎉 Giveaway results & next steps 🎉
The giveaway is complete — Telegram has randomly selected 10 winners.
Congratulations to everyone who won, and thank you to all participants for taking part 🤍
This testing phase is an important step for us, and we really appreciate your involvement.
🧪 What winners need to do next
Each winner will receive 10 GNK for testing wallet transactions.
How to receive your GNK and testin…
👍33🔥10❤8💯6🤡2
Showing the 12 most recent of 14 posts we hold for @OneWorldAI_channel. 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.
Stars beside a post are paid reactions — Telegram Stars, bought with money and spent on that post. They are a different unit from reactions and are never added to them, here or anywhere else on this page.
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 19 September 2026 — this
entry's latest reading, not the date you are reading this.
“One World AI” (@OneWorldAI_channel), 1,245 subscribers as measured 19 September 2026. Telegram Register, tgregister.com/channel/OneWorldAI_channel.
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.