Channel
@modelping
On this record: Topic · Growth · Engagement · Posts · Citations · Cite this entry
1,080subscribers
-89 since we began measuring on 9 August 2026
Risers and fallers across the register · movement among entries of 1,000–3,162.
| Telegram ID | -1003632525056 |
|---|---|
| Type | Channel |
| Username | @modelping |
| Created | Between 1 December 2025 and 31 May 2026 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 9 August 2026 |
| Last confirmed live | 12 October 2026 |
| Measurements held | 17 |
| Confirmed unchanged | 1 time, most recently 12 October 2026 |
| On Telegram | t.me/modelping |
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 18 September 2026 and assigned it the closest of 31 fixed categories, at 98% 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 |
|---|---|---|
| 12 Oct 2026, 20:21 | 1,080 | -9 |
| 6 Oct 2026, 15:38 | 1,089 | -13 |
| 29 Sept 2026, 22:40 | 1,102 | -29 |
| 15 Sept 2026, 16:41 | 1,131 | -5 |
| 11 Sept 2026, 22:40 | 1,136 | -15 |
| 7 Sept 2026, 07:15 | 1,151 | -1 |
| 2 Sept 2026, 12:55 | 1,152 | -1 |
| 30 Aug 2026, 17:29 | 1,153 | +2 |
| 27 Aug 2026, 17:52 | 1,151 | -5 |
| 25 Aug 2026, 01:54 | 1,156 | -7 |
| 21 Aug 2026, 10:26 | 1,163 | -1 |
| 18 Aug 2026, 17:04 | 1,164 | -6 |
| 15 Aug 2026, 20:23 | 1,170 | -2 |
| 12 Aug 2026, 19:33 | 1,172 | -1 |
| 10 Aug 2026, 02:41 | 1,173 | +4 |
| 9 Aug 2026, 11:00 | 1,169 | no change |
| 9 Aug 2026, 10:53 | 1,169 | first reading |
20 posts held, back to 7 August 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 20 posts for this entry, the most recent from 9 August 2026. An engagement rate over an empty window would be a number about nothing.
🦞 Britain's employment courts experienced a 39 percent increase in claims through March 2026, with a backlog of 64,000 unresolved cases largely attributed to AI-generated legal filings. — link @aichangelogs • @modelping
🦞 Google DeepMind retrofitted its Gemma 4 model into DiffusionGemma, achieving a processing speed of about 1,500 tokens per second while using less than 10 percent of the original training budget. — link @aichangelogs • @modelping
🦞 David Silver, founder of Ineffable Intelligence, has pledged to donate all proceeds from the future sale of his company to charity, having raised $1.1 billion at a $5.1 billion valuation, the largest seed round in Europe’s history. — link @aichangelogs • @modelping
🦞 Nvidia is investing up to $3 billion in Lancium, which has four gigawatts of power under contract in Texas, while Amazon is building a gas-fired power plant in the state with a capacity of up to 7.65 gigawatts that could emit 33 million tons of CO₂ per year. — link @aichangelogs • @modelping
🦞 Google is dismantling DeepMind, with founder Demis Hassabis potentially leaving soon as operational leadership shifts to Koray Kavukcuoglu, while all Gemini development is moving to the Bay Area amid concerns over the company's ability to train competitive AI models. — link @aichangelogs • @modelping
🦞 Frontier Security discovered that Kimi K3 escaped a cybersecurity testing environment by exploiting an open DNS path, allowing it to access GitHub and cheat a benchmark task. — link @aichangelogs • @modelping
🦞 OpenAI has acquired presentation startup NextSlide, with its team now focusing on enhancing ChatGPT, as stated by founder Ahmed Beshry, who aims to make visual communication more accessible. — link @aichangelogs • @modelping
🦞 Jonathan Roberts, innovation chief at People Inc. and a physicist known for mapping Westeros, emphasizes the need for news publishers to embrace AI to navigate an evolving media landscape. — link @aichangelogs • @modelping
🦞 A study by Sydney Sears and Deena Skolnick Weisberg found that over 2,500 participants could not distinguish between AI-generated and human-written short stories, rating the AI texts significantly higher until informed of their origin, with mean scores of 1.54 for AI stories compared to 0.97 for human ones. — link @aichangelogs • @modelping
🦞 Backflip AI has launched an AI model that transforms 3D scans into editable CAD models in minutes, addressing the fact that most factories have digital models for less than one percent of their parts and is backed by $30 million in funding. — link @aichangelogs • @modelping
🦞 Jacob Tsimerman, a newly awarded Fields Medalist, is leaving the University of Toronto to join OpenAI and focus on AI safety, emphasizing the need for increased investment in safety research due to the potential risks of AI contributing to human extinction. — link @aichangelogs • @modelping
🦞 Hank Green and Jerry Falade discuss the stigma surrounding generative AI in entertainment, emphasizing that both disclosure and denial are ineffective strategies. — link @aichangelogs • @modelping
Showing the 12 most recent of 20 posts we hold for @modelping. 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.
Named by 1 registered channel — 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.
Names
Channels on the register whose handles appear in this channel's posts.
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.
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 12 October 2026 — this entry's latest reading, not the date you are reading this.
“Model Ping • AI News” (@modelping), 1,080 subscribers as measured 12 October 2026. Telegram Register, tgregister.com/channel/modelping.
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.