Just 10 days ago Runway Aleph dropped. And people can't stop getting creative with it. Some wild examples
❤8

Channel
@ChatGPT_Bot_Bard_ai
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Telegram's recommendations · Cite this entry
2,867subscribers
-55 since we began measuring on 17 August 2026
Risers and fallers across the register · movement among entries of 1,000–3,162.
| Telegram ID | -1001682464795 |
|---|---|
| Type | Channel |
| Username | @ChatGPT_Bot_Bard_ai |
| Created | Between 1 December 2021 and 30 April 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 17 August 2026 |
| Last confirmed live | 19 September 2026 |
| Measurements held | 11 |
| Confirmed unchanged | 1 time, most recently 19 September 2026 |
| On Telegram | t.me/ChatGPT_Bot_Bard_ai |
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 15 September 2026 and assigned it the closest of 31 fixed categories, at 100% 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.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 19 Sept 2026, 17:20 | 2,867 | -8 |
| 15 Sept 2026, 04:18 | 2,875 | -10 |
| 11 Sept 2026, 05:41 | 2,885 | -13 |
| 6 Sept 2026, 18:01 | 2,898 | -3 |
| 2 Sept 2026, 13:08 | 2,901 | -7 |
| 30 Aug 2026, 19:25 | 2,908 | -2 |
| 27 Aug 2026, 18:47 | 2,910 | -4 |
| 24 Aug 2026, 15:06 | 2,914 | -5 |
| 21 Aug 2026, 04:22 | 2,919 | -2 |
| 18 Aug 2026, 07:03 | 2,921 | -1 |
| 17 Aug 2026, 15:15 | 2,922 | first reading |
8 posts held, back to 20 March 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 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 8 posts for this entry, the most recent from 7 August 2025. An engagement rate over an empty window would be a number about nothing.
Measured directly from 6 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.
25 reactions across 6 posts, in 4 distinct kinds. The most used accounts for 56.0% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 14 | 56.0% | |
| 👍 | 9 | 36.0% | |
| 🔥 | 1 | 4.00% | |
| 🥱 | 1 | 4.00% |
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 7 of the 8 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 25 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 8 most recent posts we hold, published 20 March 2025 to 7 August 2025, using the newest reading held for each. Telegram Stars are excluded: they are a payment, not a reaction, and they have their own section.
Just 10 days ago Runway Aleph dropped. And people can't stop getting creative with it. Some wild examples
❤8
DeepSeek updated its R1 model, instantly propelling it to the #3 spot on the Artificial Analysis leaderboard with: —Enhanced front-end capabilities —Reduced hallucinations —JSON output & function calling support
❤1
Meta AI debuted two new products: —A framework to improve collaborative reasoning in LLMs and enable social agents —An 8B param Dynamic Byte Latent Transformer that serves as an efficient and reliable alternative to traditional tokenization methods
❤1
Freepik launched F Lite 7B, a new image AI distilled from F Lite Despite having 30% fewer params than F Lite, the model delivers the same quality outputs, while being faster and memory-efficient Model weights on HF under CreativeML Open RAIL-M license
⚡️Google launches Veo 3 video generation with sound AI can now create videos with sound effects, background noises and even full dialogs between characters!
👍4❤2
Readdy — generates websites in minutes This is where professional websites and user interfaces are made without coding or design skills. Just describe the idea in everyday language and the AI will adapt the ready layout and code. Further export to Figma or directly to the project.
Meta just announced MoCha, an AI model that produces movie-grade talking/singing character animations from speech and text It even enables multi-character conversations with turn-based dialogue generation
👍3
Alibaba’s Qwen team dropped QwQ-32B, a reasoning AI that matches or surpasses DeepSeek-R1 at much less cost —20x smaller than DeepSeek-R1 —Priced $0.20 per million input and output tokens —Open-sourced under Apache 2.0 Here it is running on M4 Max
❤2👍2🔥1🥱1
Showing the 8 most recent of 8 posts we hold for @ChatGPT_Bot_Bard_ai. 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.
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.
This channel appears in 5 seed channels' Telegram-generated recommendation lists in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.
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.
“ChatGPT Bot Gemini” (@ChatGPT_Bot_Bard_ai), 2,867 subscribers as measured 19 September 2026. Telegram Register, tgregister.com/channel/ChatGPT_Bot_Bard_ai.
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.