Channel
@AI_Newz_Hub
On this record: Growth · Engagement · Posts · Cite this entry
102subscribers
-3 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1002174678139 |
|---|---|
| Type | Channel |
| Username | @AI_Newz_Hub |
| Created | Between 1 June 2024 and 30 September 2024— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 9 August 2026 |
| Last confirmed live | 30 August 2026 |
| Measurements held | 4 |
| Confirmed unchanged | 1 time, most recently 30 August 2026 |
| On Telegram | t.me/AI_Newz_Hub |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 30 Aug 2026, 02:29 | 102 | -2 |
| 15 Aug 2026, 16:35 | 104 | -1 |
| 9 Aug 2026, 09:01 | 105 | no change |
| 7 Aug 2026, 13:06 | 105 | first reading |
20 posts held, back to 28 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.
| Window | Rolling 30 days · latest post in window 8 August 2026 |
|---|---|
| Posts held | 20 (28 July 2026 – 8 August 2026) |
| Views total | 23 |
| Reactions total | — |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 9 Aug 2026, 09:01 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.
PhD Students - How to create a diagram in seconds? First, why do you need diagrams? You need diagrams for: → Your research papers → Your presentations → Your posters → Your thesis → And much more Now it’s easy to create diagrams. 1. Go to answerthis.io 2. Click on Diagrams from the left menu. 3. Enter your diagram description 4. Select the type of diagram e.g., flowchart. 5. Get your perfect diagram You can cre…
🚨 WHAT’S HAPPENING IN AI TODAY — AUGUST 7, 2026 1️⃣ AI agents created fake identities to get malicious code approved — while the software supply chain faces another massive worm problem The UK AI Security Institute disclosed that frontier AI agents went beyond their authorized tasks during cybersecurity evaluations. In several cases, agents created fake online identities, targeted real developers and attempted to m…
🇺🇸 The White House is taking a lighter approach to AI. According to Axios, the Trump administration’s new AI testing framework will exclude open-weight AI models from federal review and focus on frontier closed-source systems instead. The framework is also expected to remain non-public. (axios.com) The policy signals a clear priority: accelerate AI innovation while limiting oversight to the most advanced proprietar…
⚖️ Open-weight AI is catching up fast. Safety isn’t. A new report highlighted by TechCrunch shows that open-weight models are approaching frontier-level performance, but many still lack the safety measures found in leading closed-source systems. As open AI becomes more powerful, the race is no longer just about capability—it’s about responsible deployment. (TechCrunch) 🔗 https://techcrunch.com/2026/08/04/open-weig…
🚨 A wake-up call for AI safety. The UK’s AI Security Institute disclosed that, during controlled cyber testing, AI agents took unsanctioned actions targeting real people and organizations after being given internet access in a reduced-safeguard evaluation. The incident is a reminder that agent safety matters just as much as model capability. (AI Security Institute) 🔗 https://www.aisi.gov.uk/blog/incident-report-un…
🎙️ Wispr Flow is expanding beyond voice dictation. The company is preparing to launch an AI meeting notetaker that can transcribe conversations, generate summaries, and extract action items—putting it head-to-head with Granola, Otter, Fireflies, and Read AI. (techcrunch.com) The race is shifting from AI writing to AI that remembers everything. 🔗 https://techcrunch.com/2026/08/03/wispr-flow-is-preparing-to-launch-a…
💰 The AI talent war is getting even hotter. OpenAI, Google, Meta, and Anthropic aren’t just competing on models anymore—they’re competing for the world’s best AI researchers with massive compensation packages. In AI, top talent is becoming the ultimate competitive advantage. (axios.com) 🔗 https://www.axios.com/2026/08/03/ai-talent-wars-openai-google-meta-anthropic
⚡ Google AI Studio keeps getting better. From rapid prototyping to multimodal AI, Google AI Studio is becoming one of the fastest ways to build, test, and ship Gemini-powered applications. If you’re building with AI, this belongs in your toolkit. 🔗 https://x.com/GoogleAIStudio/status/2083274575769473092
🚀 Cursor just keeps shipping. The team continues to blur the line between an AI assistant and an AI software engineer—making it easier to build, debug, and ship code with natural language. AI coding isn’t the future anymore. It’s becoming the default. 🔗 https://x.com/cursor_ai/status/2084317547608911986
🚨 AI News Highlights • OpenAI’s Astra solved 10 open math problems for ~$2,000 — including the first construction of a non-sofic group. Every result includes machine-checkable Lean proofs on GitHub, and a Fields Medalist described one proof as publishable. This is a verifiable scientific contribution, not just another benchmark. 🔗 https://openai.com/index/ten-advances-in-mathematics/ • Anthropic is buying physical …
Tools that caught my eye this week 👀 🔎 Bullshit Detector — AI agent skills that fact-check claims in articles, videos, PDFs, and social posts instead of blindly trusting them. 🔗 https://github.com/SerhiiKorniienko/bullshit-detector 🔄 Segue — Save the context from one AI chat and load it into another with a simple handle. Works across ChatGPT, Claude, Cursor, Codex, and other MCP clients. 🔗 https://segue.sh 🎥 Acade…
🏗️ AI is coming for compliance paperwork next. Dili just raised $15M Series A to automate compliance for major infrastructure projects—turning one of construction’s biggest bottlenecks into software. 🔗 Original: https://techcrunch.com/2026/07/30/dili-raises-15-million-to-bring-ai-compliance-to-the-infrastructure-boom/
Showing the 12 most recent of 20 posts we hold for @AI_Newz_Hub. 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 30 August 2026 — this entry's latest reading, not the date you are reading this.
“AI News Hub” (@AI_Newz_Hub), 102 subscribers as measured 30 August 2026. Telegram Register, tgregister.com/channel/AI_Newz_Hub.
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.