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Channel

AI.News.Daily

@ainews_daily

On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Telegram's recommendations · Cite this entry

3,837subscribers

+38 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 3,162–10,000.

Register entry

Telegram ID-1002058511945
TypeChannel
Username@ainews_daily
CreatedBetween 1 November 2023 and 31 May 2024— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live17 August 2026
Measurements held6
Confirmed unchanged1 time, most recently 17 August 2026
On Telegramt.me/ainews_daily

Growth

3,7993,8373,8187 August 2026 — 3,799 subscribers7 August 2026 — 3,799 subscribers7 August 2026 — 3,803 subscribers10 August 2026 — 3,814 subscribers14 August 2026 — 3,820 subscribers17 August 2026 — 3,837 subscribers7 August 202617 August 2026
6 measurements spanning 10 days, net +38. Dots are measurements; the straight line between them is drawn to join them, not to claim we know the path taken in between — snapshots are recorded only when a count changes, so gaps mean “no change observed”, never “interpolated”. The vertical axis spans 3,793–3,843 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
17 Aug 2026, 11:273,837+17
14 Aug 2026, 07:333,820+6
10 Aug 2026, 22:063,814+11
7 Aug 2026, 22:583,803+4
7 Aug 2026, 13:183,799no change
7 Aug 2026, 12:543,799first reading

Engagement

13 posts held, back to 9 July 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 3 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
13.9%
avg views ÷ 3,837 subscribers
Avg views / post
534
8 posts measured
Reaction rate
1.78%
reactions ÷ views · ER floor
Posts in window
8
of 13 held

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.

What these figures were computed from
WindowRolling 30 days · latest post in window 6 August 2026
Posts held13 (9 July 20266 August 2026)
Views total4,271
Reactions total76
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken8 Aug 2026, 06:12 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.

What this channel posts

Video runtime
2m 15s
Average length
1m 08s

Measured directly from 2 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.

Reaction mix

116 reactions across 13 posts, in 9 distinct kinds. The most used accounts for 40.5% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
🔥4740.5%
3429.3%
👍2118.1%
🤩54.31%
😁32.59%
🤔21.72%
🤯21.72%
👎10.862%
👏10.862%

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 13 of the 13 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 116reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 13 most recent posts we hold, published 9 July 2026 to 6 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.

Recent posts

6 Aug 2026, 16:04 UTC232 views6 reactionsread 8 August 2026
Photo

Funny discovery: almost every AI seems to have the same favorite video game People have been asking different models a simple question: “What’s your favorite video game?” And somehow, the answer is almost always Outer Wilds. But things get weird when you switch languages. Nobody programmed this behavior explicitly. The most likely explanation is that models absorb patterns from the internet, and different languag

👍4🤔1😁1

5 Aug 2026, 16:55 UTC319 views12 reactionsread 8 August 2026
Photo

Anthropic just updated its free Claude Code course and it’s basically a full bootcamp now. The company added new lessons, bringing the course to 10 modules plus a series of final videos. There’s also a final exam, so you can see whether you’ve actually mastered the material. Here’s what you get: • 10 lessons covering Claude Code from beginner to advanced workflows • Practical examples and real development scenario

🔥65🤩1

4 Aug 2026, 14:28 UTC366 views8 reactionsread 8 August 2026
Photo

OpenAI says its new model solved 10 math problems that had remained open for decades This week, Sam Altman introduced Astra, a new multi-agent system that managed to solve and formally prove 10 difficult mathematical problems, some of which had gone unsolved for decades. The most impressive part is that Astra didn’t just come up with answers. It translated every proof into Lean, a formal proof language that allows

🔥42👍2

31 Jul 2026, 12:22 UTC585 views9 reactionsread 8 August 2026
Photo

OpenAI just slashed the price of GPT-5.6 Less than a day after launch, Luna got an 80% price cut. The new pricing: • Luna: from $1 / $6 to just $0.20 / $1.20 per 1M input and output tokens • Terra: now 20% cheaper, dropping to $2 / $12 per 1M tokens • Sol: keeps the same pricing, but now has a new Fast mode that’s 2.5× faster for 2× the cost The price cuts apply not only to the API, but also to usage limits in

3🔥3👍2🤯1

27 Jul 2026, 15:52 UTC702 views10 reactionsread 8 August 2026
Photo

Claude Opus 5 is out, and Fable 5 suddenly has some serious competition Anthropic just released Claude Opus 5, and the pitch is pretty simple: near Fable 5 performance at roughly half the price. Here’s what stands out: • Coding performance is now very close to Fable 5 • Opus 5 takes the lead in agentic coding • Fable 5 only stays ahead on a few benchmarks • Opus 5 also beats GPT 5.6 Sol across several evaluations

🔥62👍1👎1

23 Jul 2026, 15:35 UTC853 views10 reactionsread 8 August 2026
Photo

👀 Jack Dorsey just launched Buzz, an open source alternative to Slack built for humans and AI agents The Twitter cofounder’s company, Block, has released a new collaboration platform where AI agents aren’t treated like add ons. They’re part of the team. Think Slack, but designed for an agentic workplace from the start. What that means in practice: • AI agents get their own accounts and permissions • They can join

🔥53👍2

21 Jul 2026, 13:32 UTC673 views11 reactionsread 8 August 2026
Photo

The Claude Cheat Sheet Everyone Should Have Claude has added so many features over the past year that it’s easy to lose track. Here’s a practical guide to the ones worth using. Choosing the right model • Fable 5 for the most demanding tasks and long running agents • Opus 4.8 for advanced coding and deep analysis • Sonnet 5 for everyday work with the best balance of speed and quality • Haiku 4.5 for lightweight, fa

🔥53👍2👏1

20 Jul 2026, 17:00 UTC541 views10 reactionsread 8 August 2026
Photo

AI may split us into three groups, not by intelligence, but by how much we’re willing to think A new MIT study found that people who completed a writing task with ChatGPT showed 55% lower brain connectivity than those who did it without AI. Here’s the surprising part: Both groups performed equally well. The difference wasn’t in the quality of the work. It was in what happened inside the brain. That led New York

5👍4🤔1

17 Jul 2026, 15:53 UTC663 views8 reactionsread 8 August 2026
Video

Kimi K3 is here and it’s one of the biggest open models we’ve ever seen Everyone’s talking about its ability to run 300 AI agents in parallel, but that’s actually not the biggest story. Moonshot introduced agent swarms in earlier Kimi releases. 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

🔥42👍1🤩1

16 Jul 2026, 12:32 UTC703 views9 reactionsread 8 August 2026
Photo

OpenAI just launched a keyboard for Codex Yes, seriously. OpenAI teamed up with Work Louder to launch Codex Micro, a $230 controller built specifically for working with Codex. It’s less of a keyboard and more of a control panel for your AI coding assistant. What it comes with: • Agent Keys that light up to show what your agents are doing • a reasoning dial to adjust how much Codex thinks before answering • a dedi

3🔥2😁2🤩1🤯1

13 Jul 2026, 16:39 UTC950 views8 reactionsread 8 August 2026
Photo

The team behind AI 2027 is back with an even bigger question: What happens after 2029? The nonprofit AI Futures Project has released AI 2040, a new interactive forecast exploring five different paths the AI race could take over the next decade. Rather than predicting a single future, the report presents five possible scenarios, ranging from an all-out AI race to global cooperation and even a complete pause on front

🔥52👍1

10 Jul 2026, 15:50 UTC804 views7 reactionsread 8 August 2026
Photo

OpenAI just turned ChatGPT into a serious work platform Alongside the new GPT-5.6 family, OpenAI also introduced ChatGPT Work, a major step toward making ChatGPT a true AI work platform. The new GPT-5.6 family includes three models: • Sol: the flagship model for coding, research, science, cybersecurity, and complex reasoning • Terra: a balanced model for everyday work • Luna: the fastest and most affordable model

🔥4👍21

Showing the 12 most recent of 13 posts we hold for @ainews_daily. 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.

Appears in Telegram’s recommendations for other channels

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.

Computer Science and Programming
@computer_science_and_programming · 140,922
Telegram ranks this channel #5 of 87 here — alongside 86 others — read 13 August 2026
AI and Machine Learning
@machine_learning_courses · 95,133
Telegram ranks this channel #15 of 74 here — alongside 73 others — read 16 August 2026
AI Tools
@Best_AI_tools · 170,848
Telegram ranks this channel #15 of 66 here — alongside 65 others — read 13 August 2026
Hi, AI • Tech News
@hiaimediaen · 567,847
Telegram ranks this channel #26 of 83 here — alongside 82 others — read 9 August 2026
Linkedin Learning
@linkedin_learning · 218,268
Telegram ranks this channel #36 of 65 here — alongside 64 others — read 11 August 2026
Learn Python
@LearnPython3 · 124,962
Telegram ranks this channel #38 of 65 here — alongside 64 others — read 13 August 2026

This channel appears in 6 seed channels' Telegram-generated recommendation lists in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.

Cite this entry

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 17 August 2026 — this entry's latest reading, not the date you are reading this.

“AI.News.Daily” (@ainews_daily), 3,837 subscribers as measured 17 August 2026. Telegram Register, tgregister.com/channel/ainews_daily.

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.