🍎 Apple outsources Siri's brain to Gemini Apple just admitted its own AI wasn't good enough. The redesigned Siri runs on a Gemini-powered backend, not Apple's in-house models. Paired with the first 2-nanometer A20 Pro chip and a $1,999 foldable that ships in October. This is the loudest signal yet that even the world's richest hardware company can't out-build frontier labs alone. Watch who Apple leans on next, beca…

Channel
Grinder AI
@inGrinder
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Telegram's recommendations · Cite this entry
147,463subscribers
-7,596 since we began measuring on 8 August 2026
Risers and fallers across the register · movement among entries of 100,000–316,228.
Register entry
| Telegram ID | -1002195399020 |
|---|---|
| Type | Channel |
| Username | @inGrinder |
| Description | On-chain AI agents. Human takes on Bittensor, Virtuals, and what's actually working in the agentic stack. No reposts, no link spam. |
| Created | Between 1 June 2024 and 30 September 2024 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 8 August 2026 |
| Last confirmed live | 9 September 2026 |
| Measurements held | 29 |
| Confirmed unchanged | 1 time, most recently 9 September 2026 |
| On Telegram | t.me/inGrinder |
Topic
Technology — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-UD-Q6_K_XL, prompt version 1) read this channel’s own recent posts on 9 August 2026 and assigned it the closest of 31 fixed categories, at 87% 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 |
|---|---|---|
| 9 Sept 2026, 21:17 | 147,463 | -677 |
| 6 Sept 2026, 17:19 | 148,140 | -587 |
| 4 Sept 2026, 09:00 | 148,727 | -331 |
| 2 Sept 2026, 21:45 | 149,058 | -288 |
| 1 Sept 2026, 18:34 | 149,346 | -301 |
| 31 Aug 2026, 17:04 | 149,647 | -258 |
| 30 Aug 2026, 17:07 | 149,905 | -272 |
| 29 Aug 2026, 17:15 | 150,177 | -144 |
| 28 Aug 2026, 20:43 | 150,321 | -261 |
| 27 Aug 2026, 20:24 | 150,582 | -142 |
| 26 Aug 2026, 23:29 | 150,724 | -221 |
| 26 Aug 2026, 02:54 | 150,945 | -164 |
| 25 Aug 2026, 03:53 | 151,109 | -317 |
| 23 Aug 2026, 21:29 | 151,426 | -481 |
| 22 Aug 2026, 05:43 | 151,907 | -314 |
| 20 Aug 2026, 23:22 | 152,221 | -205 |
| 19 Aug 2026, 23:12 | 152,426 | -190 |
| 18 Aug 2026, 22:36 | 152,616 | -202 |
| 18 Aug 2026, 01:22 | 152,818 | -230 |
| 16 Aug 2026, 21:57 | 153,048 | first reading |
Engagement
170 posts held, back to 3 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 70 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 0.095%
- avg views ÷ 147,463 subscribers
- Avg views / post
- 141
- 137 posts measured
- Reaction rate
- 0.726%
- reactions ÷ views · ER floor
- Posts in window
- 137
- of 170 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 32 of 137 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 9 September 2026 |
|---|---|
| Posts held | 170 (3 August 2026 – 9 September 2026) |
| Views total | 19,290 |
| Reactions total | 33 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 10 Sept 2026, 04:20 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
- 824
- Videos
- 6
- Links
- 47
Lifetime counters from Telegram’s own channel header, read 10 September 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.
- Video runtime
- 2m 09s
- Average length
- 1m 05s
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
52 reactions across 44 posts, in 7 distinct kinds. The most used accounts for 53.8% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 28 | 53.8% | |
| 👍 | 10 | 19.2% | |
| 🔥 | 9 | 17.3% | |
| 👌 | 2 | 3.85% | |
| 😁 | 1 | 1.92% | |
| 😱 | 1 | 1.92% | |
| 🤮 | 1 | 1.92% |
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 46 of the 170 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 52 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 170 most recent posts we hold, published 3 August 2026 to 9 September 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
😨 Anthropic researcher quits over doom fears Jacob Coxon just walked out of Anthropic, warning self-improving AI is "gambling with our lives." He's calling for pacing agreements between labs before capability races outrun safety work. This isn't a fringe blogger, it's someone who was inside the lab building the thing. When insiders start bailing publicly, the "trust us" era of AI safety is over. Watch which lab los…
☠️ Anthropic insider says AI could kill everyone A former OpenAI and Anthropic pretraining researcher just quit, accusing both labs of racing toward superhuman systems they cannot control. His ex-colleague Evan Hubinger puts the odds of a misaligned superintelligence wiping out humanity above 10% this decade. These aren't outsiders or doomers on Twitter, they're the people building the models. When your own alignmen…
💬 Prompt of the Week: Incentive Mapping Use this before trusting any project announcement, partnership, or roadmap update. "List every party involved in this situation. For each, state what they gain if this succeeds and what they lose if it fails. Flag whose incentives conflict with mine." Most moves in crypto make sense once you see who profits. This prompt forces you to trace the money before you trace the narr…
🧮 OpenAI's $1M math win has a credibility problem OpenAI claims its agents cracked the Navier-Stokes problem, a 90-year-old Millennium Prize puzzle. NYU's Tristan Buckmaster says Sébastien Bubeck knew about his unpublished work with Anthropic's Levent Alpöge before racing to announce it. If true this isn't a research breakthrough story, it's a priority-theft story wearing an AI costume. Everyone wants the first "AI…
❤1
🕵️ Fake startup traps North Korea's crypto hackers Security researchers built an entire fake crypto company just to lure in suspected North Korean IT operatives. Every interview, every commit, every wallet move got logged for intel. This is the quiet war nobody talks about: state-sponsored crypto theft funding weapons programs, hunted by counter-ops most of the industry never sees. The lesson is blunt. Your next rem…
🔥 OpenAI accused of strong-arming a mathematician A researcher says OpenAI pressured him to drop his Anthropic-affiliated co-author from a Navier-Stokes paper. Tristan Buckmaster claims threats followed his refusal, then OpenAI announced its own breakthrough days later. This is the AI lab war spilling into pure math research. Academic credit is now a battleground for model bragging rights. Watch who cites this pape…
🇫🇷 Mistral just raised €3B at nowhere near a discount Samsung and a stack of European investors backed the round, pushing valuation to €21B. Sovereign AI is no longer a buzzword, it is a balance sheet line item for governments and conglomerates who refuse to depend on OpenAI or Google. Europe finally has a national champion with enough capital to actually compete on compute. Watch whether this money buys frontier m…
🎓 Distillation is how a big model teaches a small one to think like it. A large "teacher" model generates outputs or guidance, and a smaller "student" model trains on that to copy its behavior without the same size or cost. You care because distilled models run cheaper and faster, which matters for on-chain agents, bots, and apps that need low latency at scale. Example: a trading bot uses a distilled version of a bi…
🚀 Mistral just raised €3B in Europe's biggest tech round Mistral AI closed a Series D at €3 billion, pushing its valuation past €21 billion. Three years old, still trailing OpenAI and Anthropic on raw capability, yet investors are betting on sovereignty not supremacy. Europe wants its own frontier lab, price be damned. This is a geopolitical hedge dressed up as a funding round. Watch if that valuation buys market s…
🤖 Anthropic just signed $517B in compute deals Eleven months, half a trillion dollars in contracts, and still behind. Anthropic trails OpenAI's reported $750B buildout through 2030. The kicker: Dario Amodei spent early 2026 warning rivals about reckless spending, then out-signed them anyway. Talk is cheap, compute is not, and everyone's betting the house on the same bet. Watch who actually fills these data centers …
⚡ Anthropic bets $9B on a Bitcoin miner Anthropic reportedly locked a $9B compute deal with Riot, tapping 191 megawatts from its Texas mining campus. Bitcoin miners are quietly becoming AI infrastructure plays, and the power they already control is the real asset. This is the clearest signal yet that compute, not hash rate, is the new scarce resource. Watch which miner pivots next, the ones sitting on cheap power j…
Showing the 12 most recent of 170 posts we hold for @inGrinder. 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.
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.
@inHodlman · 157,273#1
@spinnercoin · 1,375,865#2
@boomloudcoin · 1,688,225#3
@hexnio · 2,032,331#4
@theyescoin · 5,828,260#5
@theTapCoins · 2,972,009#6
@Holdcoin_Channel · 2,225,993#7
@fx_holding_community · 6,178,944#8
@smpl_app · 1,644,591#9
@catapult_extreme · 8,681,649#10
@metazoneofficial · 570,331#11
@nomis_protocol · 1,572,584#12
@dotcoincommunity · 4,046,866#13
@CEXIO_Announcements · 2,537,703#14
@monorixofficial · 1,354,904#15
@richbeaknewss · 676,832#16
@gameechannel · 1,925,980#17
@NewsPlayToEarn · 2,364,436#18
@currentcryptonewsdaily · 1,039,590#19
@sergeisergienkoen · 3,149,409#20
@dailyscan_en · 1,011,509#21
@clear_feed_media · 515,356#22
@cryptolifebro · 1,074,703#23
@money · 3,043,823#24
@drive369_dao · 636,499#25
@WagmiHub_News · 1,096,457#26
@CryptoMemeFoundation · 1,874,605#27
@crypto_jeman · 673,094#28
@t1modev · 18,623#29
@seedupdates · 8,363,920#30
@dogs · 7,153,713#31
@blumcrypto · 14,700,866#32
@hamster_kombat · 21,257,954#33
@TimeFarmChannel · 5,414,355#34
@notcoin · 8,803,455#35
@toncapy_community · 522,875#36
@corn_battles · 1,057,169#37
@trendingapps · 3,864,524#38
@therealyescoin · 2,125,659#39
@catizenann · 3,641,479#40
@WILD_EC0SYSTEM · 1,102,911#41
@hotonnear · 4,747,491#42
@the_vertus · 2,182,119#43
@tomarket_ai · 6,805,930#44
@catgoldminerann · 920,002#45
@diamoremarket · 338,996#46
@rockyrabbitio · 3,557,418#47
@Bitget_Wallet_Announcement · 4,061,340#48
@Crypto_Woolf · 2,233,704#49
@Cats_housewtf · 8,129,863#50
@hayzonn · 2,886,200#51
@notboredpuppies_news · 1,162,781#52
@realgoats_channel · 4,773,562#53
@pigscrew · 2,171,049#54
@tonstationgames · 3,254,817#55
@banana_update · 1,416,998#56
@gram · 6,785,001#57
@coincoinai · 1,783,809#58
@be_the_firsttt · 1,335,942#59
@tapswapai · 10,484,138#60
@watbird · 1,493,992#61
@onus_globalchannel · 1,672,109#62
@tea_solmeme · 1,189,472#63
@cryptowallet_news_en · 3,565,591#64
@EraOfExplorers · 724,077#65
@tonbox · 500,257#66
@babydogecoin · 1,034,620#67
@tap_sport_official · 566,826#68
@tabi_ann · 1,960,511#69
@iamalexfalcon · 3,153,710#70
@pixelverse_xyz · 3,179,204#71
@richbeaknews · 592,973#72
@pocketfi · 1,831,255#73
@Marsian_News · 249,301#74
@cryptoAIAGI · 1,070,784#75
@CryptoAirdrop · 557,766#76
@boopupdates · 1,325,243#77
@Coin_Strategist · 1,059,241#78
@builders · 3,470,622#79
@matchain_fam · 1,947,612#80
@pocket_rocket_game · 697,644#81
@Monkey_on_TON · 833,040#82
@deckforge_official · 2,100,491#83
@vestirussia · 1,003,439#84
@TaskNChannel · 924,539#85
@mediarussia · 1,674,800#86
@token_1win · 3,019,225#87
@tons_base · 492,457#88
@avagoldcoin · 1,777,627#89
@autoruss · 848,510#90
Read from Telegram’s recommendation API, most recently 12 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.
@inHodlman · 157,273
Telegram ranks this channel #1 of 90 here — alongside 89 others — read 12 August 2026
@inZizizone · 187,712
Telegram ranks this channel #24 of 87 here — alongside 86 others — read 22 August 2026
@spinnercoin · 1,375,865
Telegram ranks this channel #46 of 87 here — alongside 86 others — read 8 August 2026
@toncapy_community · 522,875
Telegram ranks this channel #55 of 87 here — alongside 86 others — read 9 August 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 9 September 2026 — this entry's latest reading, not the date you are reading this.
“Grinder AI” (@inGrinder), 147,463 subscribers as measured 9 September 2026. Telegram Register, tgregister.com/channel/inGrinder.
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.