Most Companies Are Training AI the Wrong Way Physical AI can't learn from the internet. A robot learns to cook by watching real humans cook — real kitchens, real pressure, real adjustments. KGeN is collecting this behavioral data across LATAM: 📍 8,500+ hours of real-world task data daily 🌎 6 countries 🏗 15+ work environments 📋 300+ task types No labs. No simulations. Real humans doing real work. Train the AI you'll u…

Channel
KGeN Announcements
@KGeN_Ann
On this record: Topic · Growth · Engagement · What this channel posts · Posts · Citations · Handles named that no longer answer · Cite this entry
69,356subscribers
-1,813 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of 31,623–100,000.
Register entry
| Telegram ID | -1002380936484 |
|---|---|
| Type | Channel |
| Username | @KGeN_Ann |
| Description | KGeN collects data from verified humans in the Global South to train Physical AI and LLMs 💬 Discussion: @kgen_io |
| Created | Between 1 September 2024 and 31 March 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 6 August 2026 |
| Last confirmed live | 8 September 2026 |
| Measurements held | 30 |
| Confirmed unchanged | 1 time, most recently 8 September 2026 |
| On Telegram | t.me/KGeN_Ann |
Topic
Technology — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-UD-Q6_K_XL, prompt version 1) read this channel’s own recent posts on 20 August 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 why it has no browse page of its own yet.
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 8 Sept 2026, 08:55 | 69,356 | -173 |
| 5 Sept 2026, 03:17 | 69,529 | -104 |
| 3 Sept 2026, 09:15 | 69,633 | -93 |
| 2 Sept 2026, 04:13 | 69,726 | -81 |
| 1 Sept 2026, 02:14 | 69,807 | -54 |
| 31 Aug 2026, 03:05 | 69,861 | -65 |
| 30 Aug 2026, 04:56 | 69,926 | -58 |
| 29 Aug 2026, 02:29 | 69,984 | -47 |
| 28 Aug 2026, 01:34 | 70,031 | -53 |
| 27 Aug 2026, 01:42 | 70,084 | -61 |
| 25 Aug 2026, 23:45 | 70,145 | -42 |
| 25 Aug 2026, 01:54 | 70,187 | -96 |
| 23 Aug 2026, 17:52 | 70,283 | -65 |
| 22 Aug 2026, 01:55 | 70,348 | -96 |
| 20 Aug 2026, 18:04 | 70,444 | -38 |
| 19 Aug 2026, 20:13 | 70,482 | -44 |
| 18 Aug 2026, 23:17 | 70,526 | -88 |
| 17 Aug 2026, 20:34 | 70,614 | -54 |
| 16 Aug 2026, 21:46 | 70,668 | -69 |
| 15 Aug 2026, 11:07 | 70,737 | first reading |
Engagement
24 posts held, back to 4 May 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 70 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 1.56%
- avg views ÷ 69,356 subscribers
- Avg views / post
- 1,080
- 4 posts measured
- Reaction rate
- —
- this channel exposes no reaction counts
- Posts in window
- 4
- of 24 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.
| Window | Rolling 30 days · latest post in window 1 September 2026 |
|---|---|
| Posts held | 24 (4 May 2026 – 1 September 2026) |
| Views total | 4,335 |
| Reactions total | — |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 9 Sept 2026, 07:37 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
- 255
- Videos
- 56
- Links
- 363
Lifetime counters from Telegram’s own channel header, read 9 September 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.
Recent posts
🇰🇷 VeriFi Korea is Coming — Human x Robots KGeN is heading to Seoul! As robots become increasingly embedded in the real world, verifying what's human matters more than ever. VeriFi Korea brings together builders, researchers, and communities exploring this frontier. 📍 Seoul, South Korea 📅 Wednesday | 26 August 2026 👉 [RSVP here](https://x.com/KGeN_IO/status/2090408840332558619?s=20) — Seoul Soon 🇰🇷
"Imagine if every AI task you completed made you more valuable." The future of AI isn't just about collecting data — it's about compounding human trust. We just dropped a thought-provoking take on AI's next big shift and what it means for all of us. 👇 🔗 https://x.com/KGeN_IO/status/2090379133352370618
📢 Community Question of the Day! 🤖 Which household chore do you hate the most — and can't wait for robots to take over? 🤨 Cooking? Dishes? Laundry? Vacuuming? We all have that one chore we dread. Drop your answer in the comments below and let's see what the KGeN community is ready to hand off to the bots! 👇 🔗 https://x.com/KGeN_IO/status/2089681838210183236
🥋 LAST DAY — ENTER THE DOJO 🥋 This is it, creators. Today is your final chance to apply. If you're serious about creating, this is where you prove it. Complete assignments, compete for $5,000 in monthly rewards, and become part of the culture. ⏳ Applications close tonight — don't miss your shot. 👉 Enter the Dojo now: https://forms.gle/oC6udsY9T4rZc9EU6
📌 Ghosts in the Dataset As AI models lean harder on human data, a new question emerges: how do you know the "human" behind a submission wasn't just relaying an AI's output? We break down the Turk Problem, why one-time identity checks aren't enough, and how KGeN's Verified Reputation System (PoH, PoP, PoSk, PoC, PoSN) builds trust through sustained behaviour, not a single verification moment. Full breakdown here 👉 h…
🟩 THE DOJO IS OPEN 🟩 Big news, fam — KEKW just leveled up. New name, new season, new energy: welcome to the DOJO Creator Program. 💰 $5,000 in monthly rewards — that's DOUBLE last season's pool, split across 50 creators every month: 🥇 Top 5 creators — $300 each 🥈 Next 10 creators — $140 each 🥉 Next 35 creators — $60 each This isn't just about content — it's about building with the community and becoming part of th…
🏆 KStore World Cup Fantasy League — Prize Pool Unlocked! 🔥 The rewards are officially here! It's time to build your dream team, climb the leaderboard, and compete for exclusive prizes. 🎁 Prize Pool 🥇 1st Place — Season Pass worth $25 🥈 2nd Place — Season Pass worth $15 🥉 3rd Place — Season Pass worth $10 ⚽️ Think you've got what it takes? Assemble your ultimate World Cup fantasy squad and battle your way to the to…
🏆 KStore World Cup Fantasy League — Rewards Revealed! The wait is over. Here are the prizes for the Top 3 winners of the KStore World Cup Fantasy League: 🥇 1st Place — Season Pass worth $25 🥈 2nd Place — Season Pass worth $15 🥉 3rd Place — Season Pass worth $10 Build your dream team, climb to the top of the league, and walk away with exclusive KStore rewards. Make your team. Top the league. Win rewards. 👉 Join now: …
⚽️ KStore Sports Fantasy League is Here! Join the league, hold some $KGeN, complete a few simple tasks, and stand a chance to win exciting rewards! 🎁 Big prizes are up for grabs—stay tuned, as the rewards will be revealed soon. 🔗 Join now: https://link.kgen.io/XmK26w
🎙 DOUBLE AMA ALERT | Hear Directly from the Founders of KGeN The momentum from VeriFi Korea continues! 🚀 This week, both KGeN founders are taking the stage to share insights on KGeN 2.0, the future of AI, and why verified human networks are becoming critical infrastructure for the next generation of AI systems. 🟩 KGeN 2.0 AMA 👤 Speaker: Manish Agarwal 🎤 Host: Humbleman 🗓 Date & Time: 17 June 11:00 AM UTC / 8:00 P…
📢 New Ecosystem Partner Alert! Welcome YeNo Markets to the KGeN ecosystem! 🤝 Think you're always right? Now's your chance to prove it. As our ecosystem partner, YeNo has an exclusive offer for the KGeN community - the first 100 users get a $5 bonus! ⚡️ Don't miss out → https://x.com/KGeN_IO/status/2066523084132397224?s=20 Join link → https://yeno.trade/?ref=kgen100
Showing the 12 most recent of 24 posts we hold for @KGeN_Ann. 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.
Mentions
Named by 2 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.
Handles this channel named that no longer answer
- Dead references
- 1
- handles named in this channel’s posts, vacant today
- Evidenced gone
- 0
- we ourselves saw one of these resolve, at some point
- Never seen alive
- 1
- vacant every time we have ever looked
@KGeN_Ann named 1 handle that resolve to nothing today. That is a fact about the reference, not necessarily a fact about the handle’s history — see the two groups below.
Most of these may never have existed as a live channel at all. A handle a channel names can be a typo, an aspirational name nobody registered, or a channel that was already gone before this one ever mentioned it. Unless a row below is marked evidenced, all we know is that it references a handle that is not a live channel today — not that anything “died”. How this is measured.
Never seen alive
References a handle that is not a live channel — we have no record it ever was one.
named in 3 posts, 8 August 2026 – 15 August 2026
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 8 September 2026 — this entry's latest reading, not the date you are reading this.
“KGeN Announcements” (@KGeN_Ann), 69,356 subscribers as measured 8 September 2026. Telegram Register, tgregister.com/channel/KGeN_Ann.
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.