Channel
@creaai
On this record: Topic · Growth · Engagement · Reactions · Posts · Cite this entry
1,056subscribers
+0 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 1,000–3,162.
| Telegram ID | -1001925804747 |
|---|---|
| Type | Channel |
| Username | @creaai |
| Created | Between 1 April 2023 and 31 October 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 8 August 2026 |
| Last confirmed live | 7 October 2026 |
| Measurements held | 14 |
| Confirmed unchanged | 1 time, most recently 7 October 2026 |
| On Telegram | t.me/creaai |
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 19 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 |
|---|---|---|
| 7 Oct 2026, 09:19 | 1,056 | -7 |
| 30 Sept 2026, 08:18 | 1,063 | +7 |
| 16 Sept 2026, 10:37 | 1,056 | -1 |
| 12 Sept 2026, 20:02 | 1,057 | +2 |
| 9 Sept 2026, 06:19 | 1,055 | -5 |
| 3 Sept 2026, 14:16 | 1,060 | -2 |
| 30 Aug 2026, 22:22 | 1,062 | -4 |
| 25 Aug 2026, 00:13 | 1,066 | +5 |
| 21 Aug 2026, 09:36 | 1,061 | +7 |
| 18 Aug 2026, 03:11 | 1,054 | -3 |
| 14 Aug 2026, 23:08 | 1,057 | +2 |
| 8 Aug 2026, 13:37 | 1,055 | -1 |
| 8 Aug 2026, 00:18 | 1,056 | no change |
| 7 Aug 2026, 20:39 | 1,056 | first reading |
20 posts held, back to 19 May 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 20 posts for this entry, the most recent from 30 July 2026. An engagement rate over an empty window would be a number about nothing.
27 reactions across 12 posts, in 4 distinct kinds. The most used accounts for 74.1% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 20 | 74.1% | |
| ⚡ | 4 | 14.8% | |
| 🔥 | 2 | 7.41% | |
| 👍 | 1 | 3.70% |
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 20 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 27 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 20 most recent posts we hold, published 19 May 2025 to 30 July 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.
Why Google may have stepped away from the AI race Alberto Romero argues that Google is not simply falling behind OpenAI and Anthropic — it may be pursuing a fundamentally different theory of intelligence. OpenAI and Anthropic are betting on coding agents, scale, and recursive self-improvement: AI systems helping build increasingly capable AI systems. Google DeepMind may be betting instead on world models — systems…
The Economics of Recursive Self-Improvement METR researchers (Parker Whitfill, Tom Cunningham and co-authors) just published a clean economic analysis of recursive self-improvement. Their conclusion is sharper than most recent takes. The real question, they argue, is not whether AI can improve AI, but whether the feedback becomes strong enough to produce self-sustaining acceleration. Progress could still stall on …
❤1👍1
AI takeoff may be much stranger than markets expect Bayeslord argues that the world is still pricing AI as a productivity tool, while the real shift may come from AI improving AI. His thesis: – major algorithmic gains may still be ahead – automated research could accelerate progress across science and engineering – robotics may have its own “ChatGPT moment” soon – intelligence and production will become cheaper, f…
China launches WAICO – the world’s first intergovernmental AI organization At the 2026 World AI Conference in Shanghai, China officially announced the creation of the World Artificial Intelligence Cooperation Organization (WAICO) — the world’s first intergovernmental organization dedicated to AI governance, with its headquarters in Shanghai. What stands out 29 founding countries have already signed the agreement. …
❤2
Project Glasswing – Anthropic quietly changes cybersecurity Anthropic launched Project Glasswing — a closed initiative built around its most powerful (and unreleased) model, Claude Mythos Preview. The twist: the model is considered too dangerous to release publicly. ⸻ What it does – finds zero-day vulnerabilities – analyzes complex systems – builds exploits autonomously In tests, it reportedly flagged thousands…
❤4
Claude “Mythos” – a warning signal for cybersecurity A viral post on X suggests we may have just seen the first public case of Claude Mythos. The model reportedly: – found a zero-day in Ghost – identified a blind SQL injection – wrote its own exploit – extracted keys and hashes without auth ⸻ Why it matters AI shows full cycle capability: discovery → reasoning → exploitation If true — this is the start of offe…
Something Big Is Happening – Matt Shumer In mid-February 2026, investor and AI entrepreneur Matt Shumer published an essay titled “Something Big Is Happening.” The piece went mega-viral within days — reportedly viewed by tens of millions of people — and sparked one of the most intense debates in the AI world this year. Shumer isn’t a distant pundit — he’s spent years building AI startups and investing in the space.…
❤3
The Complete Guide to Building Skills for Claude – Anthropic Anthropic has released a 33-page practical report, “The Complete Guide to Building Skills for Claude.” The document outlines how to design, structure, and scale specialized capabilities (“skills”) for Claude — moving from generic prompting to production-grade AI systems. The core idea: Claude performs best not as a single prompt endpoint, but as a modular…
The Geopolitics of AI – JPMorganChase Center for Geopolitics JPMorganChase’s Center for Geopolitics has released its October 2025 report, “The Geopolitics of AI: Decoding the New Global Operating System.” The study frames artificial intelligence as a new layer of global infrastructure — a system reshaping trade, energy, defense, and the strategic balance between nations. ⸻ Key findings A fractured AI world China …
⚡1
FTSG Tech Trends 2025 – Future Today Strategy Group The Future Today Strategy Group (FTSG) has released its Tech Trends Report 2025, a thousand-page analysis arguing that we are no longer standing at the threshold of a technological era — we are already living inside it. The report identifies not just forecasts but concrete signals: where capital is shifting, which industries are reinventing themselves, and where t…
❤2
Tinker — a “mini‑GPT” builder in a few lines of code Thinking Machines Lab has launched Tinker — a flexible API for fine‑tuning open LLMs without wrangling clusters and pipelines. You keep control of your data and algorithms; the service handles distributed training and fault tolerance. What you get • Support for models from compact to MoE giants (e.g., Qwen‑235B‑A22B). Switch models by changing a single line of c…
🔥2⚡1
Large Open-Source Models (150B+) – Artificial Analysis An up-to-date breakdown of the most advanced open-weight AI models (150 billion+ parameters) that you can download, fine-tune, and run locally. The front-runners: • Qwen3 235B A22B 2507 (Reasoning) by Alibaba tops the Intelligence Index at 57, with a 256K context window and ~$2.6/million tokens. • Close behind: DeepSeek V3.1 (Reasoning) scores 54, rocks a mass…
Showing the 12 most recent of 20 posts we hold for @creaai. 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.
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 7 October 2026 — this entry's latest reading, not the date you are reading this.
“crea.ai” (@creaai), 1,056 subscribers as measured 7 October 2026. Telegram Register, tgregister.com/channel/creaai.
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.