Scientists can now literally flip switches inside the brain using light, and the technique just won top honors in science. The 2026 Nobel Prize in Physiology or Medicine was awarded to Karl Deisseroth, Peter Hegemann, and Georg Nagel for pioneering optogenetics. The method allows researchers to switch specific nerve cells on and off using targeted light beams. This gives scientists a precise way to figure out exact…

Channel
Techno-Tricksters
@technotricksters
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Stars · Posts · Posts edited after publishing · Citations · Telegram's recommendations · Cite this entry
47,869subscribers
-994 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 31,623–100,000.
Register entry
| Telegram ID | -1002034252684 |
|---|---|
| Type | Channel |
| Username | @technotricksters |
| Description | Innovations 🚀, AI 🤖 & Rock'n'Roll 🎸 For collaboration, ping @techno_trickster 🤝 Buy ads: https://telega.io/c/technotricksters |
| Created | Between 1 November 2023 and 31 May 2024 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 8 October 2026 |
| Measurements held | 36 |
| Confirmed unchanged | 1 time, most recently 8 October 2026 |
| On Telegram | t.me/technotricksters |
Topic
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 9 September 2026 and assigned it the closest of 31 fixed categories, at 99% 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.
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 8 Oct 2026, 22:41 | 47,869 | -81 |
| 4 Oct 2026, 14:40 | 47,950 | -233 |
| 26 Sept 2026, 12:41 | 48,183 | -48 |
| 19 Sept 2026, 15:39 | 48,231 | -29 |
| 17 Sept 2026, 02:57 | 48,260 | +17 |
| 15 Sept 2026, 00:40 | 48,243 | -5 |
| 13 Sept 2026, 10:22 | 48,248 | -49 |
| 11 Sept 2026, 13:16 | 48,297 | -23 |
| 8 Sept 2026, 23:37 | 48,320 | -87 |
| 5 Sept 2026, 19:39 | 48,407 | -55 |
| 3 Sept 2026, 15:18 | 48,462 | -8 |
| 2 Sept 2026, 08:22 | 48,470 | +50 |
| 1 Sept 2026, 05:19 | 48,420 | +39 |
| 31 Aug 2026, 07:04 | 48,381 | -20 |
| 30 Aug 2026, 07:57 | 48,401 | +5 |
| 29 Aug 2026, 11:05 | 48,396 | -5 |
| 28 Aug 2026, 13:46 | 48,401 | +1 |
| 27 Aug 2026, 11:03 | 48,400 | +58 |
| 26 Aug 2026, 07:25 | 48,342 | +10 |
| 25 Aug 2026, 05:12 | 48,332 | first reading |
Engagement
182 posts held, back to 27 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 129 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 2.17%
- avg views ÷ 47,869 subscribers
- Avg views / post
- 1,040
- 83 posts measured
- Reaction rate
- 0.148%
- reactions ÷ views · ER floor
- Posts in window
- 85
- of 182 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. It is computed over the 36 of 83 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 8 October 2026 |
|---|---|
| Posts held | 182 (27 July 2026 – 8 October 2026) |
| Views total | 86,094 |
| Reactions total | 57 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 9 Oct 2026, 00:01 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.
What this channel posts
- Photos
- ≈1,050
- Videos
- ≈778
- Links
- ≈735
Lifetime counters from Telegram’s own channel header, read 9 October 2026 — not the date at the top of this page, which is when the subscriber count was last read. A count marked ≈ was rounded by Telegram before we ever saw it — t.me prints these counters in full below 1,000 and to three significant figures above, so ≈142,000 means somewhere between 141,500 and 142,499.
- Video runtime
- 52m 39s
- Average length
- 52s
Measured directly from 61 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
131 reactions across 77 posts, in 10 distinct kinds. The most used accounts for 73.3% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 96 | 73.3% | |
| 👍 | 9 | 6.87% | |
| 🔥 | 7 | 5.34% | |
| 🤣 | 6 | 4.58% | |
| 👏 | 5 | 3.82% | |
| 🤯 | 3 | 2.29% | |
| 💔 | 2 | 1.53% | |
| 😁 | 1 | 0.763% | |
| 😱 | 1 | 0.763% | |
| 🦄 | 1 | 0.763% |
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 86 of the 182 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 131 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 182 most recent posts we hold, published 27 July 2026 to 8 October 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.
Telegram Stars
- Stars received
- 7
- across the posts below
- Posts paid on
- 2
- of 180 we hold a reading for · 1%
- Most on one post
- 5
- single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @technotricksters. Telegram publishes the count on the public post preview alongside ordinary reactions, and this register reads it there. It is the only figure on this site that measures money moving rather than attention.
Stars are not reactions, and the two are never added. They are rendered in the same strip on Telegram and counted in the same shape, but one is a tap and the other is a purchase. The reaction totals and the engagement rate elsewhere on this page exclude every figure in this section, and no rate here is computed against a reaction count.
This is not revenue, and we publish no currency figure. What a Star costs a reader and what it pays a channel are different numbers, Telegram takes a share we cannot observe, and the terms have changed. Converting a Star count into money would be an estimate dressed as a measurement, so the count is where we stop.
Counted over the 182 most recent posts we hold for this entry, published 27 July 2026 to 8 October 2026. Star counts above 1,000 reach us in Telegram’s short form and carry the same three-significant-figure rounding as everything else on this page.
Recent posts
Waiting for ChatGPT to generate an image might soon come with a commercial break. OpenAI plans to test ads inside ChatGPT starting this October for Free and Go tier users in the US. The promotions will appear on screen specifically while users wait for an image to generate. The company promises that ads will stay completely separate from responses and will not influence AI output. Advertisers will get tools to trac…
Anthropic is rolling out free API credits for paid Claude subscribers. Users on paid tiers can now receive either $100 or $200 in monthly API credits, depending on their subscription plan. According to Anthropic, these credit allowances are set to refresh every month. Full details on eligibility and how to claim them are available in the support guide: Source #GenAI #AITools
OpenAI is rolling out text watermarking for ChatGPT and Codex in the European Union. The system works by subtly tweaking word choices behind the scenes using a hidden rule. Humans will not notice any difference in how the text reads, but a specialized detector can spot it. If the text is heavily rewritten, however, the watermark may be lost. The feature will appear in text responses across all tiers in the EU over …
Mistral has unveiled a massive 1-trillion-parameter open-weight model named Mistral Large 4, internally dubbed Le Chonk. According to WIRED, anyone can run and customize the model. A preview version is currently available, with the full release scheduled before the end of October. It handles general dialogue while being specifically tuned for coding, cybersecurity, manufacturing, finance, and electrical engineering.…
Google has rolled out Nano Banana 2.1, its newest image generation model. The company claims it beats all of its previous image generation models across the board. It is already available in Gemini, Google AI Studio, and via the API. Pricing is set at $30 per million output tokens, compared to $120 for Nano Banana Pro. Docs #GenAI #AITools
AI is now pulling images straight out of the human brain. Researchers built a model that uses MRI data to reconstruct whatever picture a person is looking at. The neural network analyzes brain activity and attempts to recreate the original visual with matching colors, composition, and object placement. It is far from perfect at the moment. For example, a slice of cake might get turned into a stack of sandwiches, or…
❤3
ElevenLabs' new voice model just got a serious stress test. A creator put together a 44-second script packed with the most complex voice tags and prompt cues possible, then handed the entire text over to Eleven v4 to voice in a single run. The result is a wild showcase of text-to-speech capabilities, handling rapid shifts in emotion, tone, and vocal direction seamlessly. You can listen to the generated audio on So…
❤2
The Pope has officially entered the debate over AI art. Pope Leo XIV spoke out against AI slop, arguing that neural networks lack a vital spark of human creativity. He urged the Church to stand united in support of real human art over synthetic content. Source #GenAI #ResponsibleAI
You can now leave a video meeting in full Thanos style with a single snap. A new Chrome extension called Snap lets you dramatically disintegrate right on camera during Google Meet calls. Before the meeting starts, the extension captures an image of your empty room, and when activated, it dissolves you into floating particles, leaving your colleagues staring at an empty background. The entire process runs locally in…
❤1
Building data centers in space might actually become profitable, but it requires a staggering number of rocket flights. Google researchers estimated that SpaceX's Starship needs around 1,800 launches over ten years to push delivery costs down to $200 per kilogram. Once shipping cargo to orbit gets that cheap, running data centers in space starts making financial sense as launch costs drop with higher flight frequenc…
🔥1
Cloudflare has launched two open decision-making AI models, Clef and Clef-flash. Instead of generating new text, these models pick from a set of predefined options and return probability scores. For example, they can determine whether an incoming support ticket is urgent and decide which team should handle it. Clef can classify both images and text with a context window of up to 64 KB. According to Cloudflare's ben…
Showing the 12 most recent of 182 posts we hold for @technotricksters. 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.
Posts edited after publishing
@technotricksters edited 1 post after it first published — the same permalink now carries different wording than the one this register originally read, caught because our own crawl held a copy of the earlier text.
An edit is not deception. Typo fixes, price updates and corrections look exactly like this too — this register can tell you the wording changed and when, not why. How this is measured.
- First edit seen
- 27 August 2026
- Most recent edit
- 27 August 2026
Forward network
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
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.
Channels Telegram recommends alongside this one
Telegram’s own answer, not this register’s. When this register asks Telegram’s API what is similar to this channel, this is the list it returns, in the exact order Telegram returns it — never re-sorted by subscribers or by anything else this register measures. The relationship, and the order, are Telegram’s; we record them and date them, and make no claim of our own about which of these channels actually resemble this one.
@Swaperface_1 · 24,633#1
@refacee · 5,519#2
@AiMotionNews · 28,590#3
@aiaiai · 175,843#4
@photifyai · 61,307#5
@neuro_artss · 25,880#6
@ai_odyssey_art · 14,841#7
@dreamgf_ai · 1,060#8
@MidJourneyAI1 · 33,702#9
@AIpromptFree · 3,170#10
@neirohub_it · 10,981#11
@tonsfw · 1,388#12
@tgstable · 5,235#13
@faceswapnews_ru · 2,027#14
@AIArtsGallery · 6,808#15
@fashion_style_ai · 1,202#16
Read from Telegram’s recommendation API, most recently 26 August 2026. Telegram holds a list like this for a small and growing share of the register — how this is measured, and why most channel pages show nothing here.
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.
@Swaperface_1 · 24,633
Telegram ranks this channel #2 of 12 here — alongside 11 others — read 14 September 2026
@AiOrbitInsights · 51,885
Telegram ranks this channel #6 of 48 here — alongside 47 others — read 25 September 2026
@photifyai · 61,307
Telegram ranks this channel #19 of 45 here — alongside 44 others — read 21 August 2026
@neuro_artss · 25,880
Telegram ranks this channel #27 of 45 here — alongside 44 others — read 12 September 2026
This channel appears in 4 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 8 October 2026 — this entry's latest reading, not the date you are reading this.
“Techno-Tricksters” (@technotricksters), 47,869 subscribers as measured 8 October 2026. Telegram Register, tgregister.com/channel/technotricksters.
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.