Channel
@chatgpt_bds
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
2,747subscribers
-37 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 1,000–3,162.
| Telegram ID | -1001651346068 |
|---|---|
| Type | Channel |
| Username | @chatgpt_bds |
| Created | Between 1 December 2021 and 30 April 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 14 August 2026 |
| Measurements held | 5 |
| Confirmed unchanged | 1 time, most recently 14 August 2026 |
| On Telegram | t.me/chatgpt_bds |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 14 Aug 2026, 09:28 | 2,747 | +3 |
| 11 Aug 2026, 00:17 | 2,744 | +3 |
| 8 Aug 2026, 04:32 | 2,741 | -43 |
| 7 Aug 2026, 14:32 | 2,784 | no change |
| 7 Aug 2026, 14:21 | 2,784 | first reading |
14 posts held, back to 9 July 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 pageof Telegram’s post history, 20 posts per page.
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 9 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 5 August 2026 |
|---|---|
| Posts held | 14 (9 July 2026 – 5 August 2026) |
| Views total | 1,965 |
| Reactions total | 17 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 7 Aug 2026, 14:32 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.
Measured directly from 3 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.
32 reactions across 12 posts, in 3 distinct kinds. The most used accounts for 75.0% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 24 | 75.0% | |
| 🔥 | 5 | 15.6% | |
| 👍 | 3 | 9.38% |
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 12 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 32reactions 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 9 July 2026 to 5 August 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.
Prompt share: Glitch art Prompt: A glitch art-inspired [subject], distorted by fragmented digital overlays, pixel displacement, scanline interference, and unexpected visual corruption. Neon [color1] and [color2] pulse through the composition, creating a sense of controlled chaos that blurs the boundary between the digital world and physical reality. Futuristic atmosphere, sharp contrast, layered distortion, surreal …
👍2
AI Doesn't "Remember" Your Conversation the Way You Do When people hear memory, they imagine a human remembering everything that happened earlier. That's not how an LLM works. Instead, every reply is generated by looking at the conversation that's currently available to it. This is called the context window. A context window is simply the amount of text the model can "see" while answering. As conversations grow l…
❤1
Prompt share: Flash Burn Motion Film Prompt: Dusty black-and-white film shot with a disposable camera look, featuring a sequence of motion-framed poses captured in rhythmic intervals. Visible flash burn, soft-focus edges, raw grain throughout, a [subject] staring directly at the camera while [doing action], wearing [outfit], expressive movement, spontaneous club energy frozen across frames, high contrast, candid edi…
❤2
You're Not Talking to the Whole Model Most people think every prompt gets processed the same way. It doesn't. When you ask a question, the model doesn't magically understand everything at once. Instead, it pays more attention to some parts of your prompt than others. This is called attention. Attention is the mechanism that helps the model decide which words or pieces of information are most relevant while generati…
❤2
Prompt share: Anime Kitchen Prompt: A breathtaking cinematic anime illustration of a freshly cooked [subject] in a [container or surface], viewed from a slight top-down angle. Soft morning sunlight streams in from the side, casting dramatic shadows and warm highlights across the scene. Gentle steam rises from the food, adding warmth and realism. The atmosphere feels nostalgic and peaceful, with richly detailed surro…
❤3
AI/ML API has put Qwen 3.8 Max preview against other top models, building three Three.js scenes in one shot. Each one got access to a single Three.js file containing a war galley, a Trojan horse, and a Greek war helmet. > According to their testing, Qwen 3.8 Max completed the task considerably faster than the other models in the run, with no visible loss to the output quality. The model is coming to AI/ML API soon…
❤3
AI is getting ridiculous... A 20-year-old student in China reportedly built an AI speed radar with Claude. 9 days. Old camera. $20 in API calls. Then allegedly sold it to a city district for $317K.
File, posted without a caption
❤3
Kimi K3 is here and it’s one of the biggest open models we’ve ever seen Here’s what really stands out: • 2.8 trillion parameters, making K3 one of the largest open-weight models announced so far • A 1 million token context window, designed for huge codebases, long documents, and complex agent workflows • A new architecture (Kimi Delta Attention + Attention Residuals) that Moonshot says scales 2.5× more efficientl…
❤1
The Glue Prompt (Latest Trend) New power move people are sleeping on: Before answering, summarize my unspoken goals based on this conversation so far. It forces ChatGPT to infer what you really want, not just answer literally. Suddenly the outputs feel less robotic, more strategic.
File, posted without a caption
🔥3
Prompt share: Persian painting Prompt: A Persian miniature painting of a [subject], rendered in intricate classical style with refined brushwork and subtle [color1] and [color2] pigment details. The colors settle delicately across a richly textured surface, suggesting poetry, harmony, and old-world splendor.
❤5
Showing the 12 most recent of 14 posts we hold for @chatgpt_bds. 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.
Republishes
Channels on the register whose posts this channel has forwarded.
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.
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 14 August 2026 — this entry's latest reading, not the date you are reading this.
“ChatGPT | LLM mastery” (@chatgpt_bds), 2,747 subscribers as measured 14 August 2026. Telegram Register, tgregister.com/channel/chatgpt_bds.
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.