Channel
@howaihelps
On this record: Growth · Engagement · Reactions · Posts · Citations · Cite this entry
734subscribers
+1 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1003926560593 |
|---|---|
| Type | Channel |
| Username | @howaihelps |
| Created | Between 1 April 2026 and 31 July 2026— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 7 August 2026 |
| Measurements held | 2 |
| Confirmed unchanged | 1 time, most recently 7 August 2026 |
| On Telegram | t.me/howaihelps |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 7 Aug 2026, 07:28 | 734 | +1 |
| 7 Aug 2026, 03:01 | 733 | first reading |
20 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 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. It is computed over the 12 of 20 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 6 August 2026 |
|---|---|
| Posts held | 20 (3 August 2026 – 6 August 2026) |
| Views total | 2,273 |
| Reactions total | 13 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 7 Aug 2026, 03:01 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.
13 reactions across 12 posts, in 2 distinct kinds. The most used accounts for 61.5% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 8 | 61.5% | |
| 👍 | 5 | 38.5% |
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 12 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 13reactions 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 3 August 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.
A robot may learn the right action from a teacher that sees exact facts its deployed camera can never observe A pedestrian is hidden behind a parked van. In simulation, the policy still receives the person’s exact pose and velocity. On the street, its camera gets only a partial, delayed view. Pictura, a preprint submitted 28 July 2026, trains from each agent’s camera perspective. The authors report over 50 billion …
❤1
Tesla and SpaceX select Texas Terafab site Tesla confirmed Terafab will be built in Grimes County, Texas, near Gibbons Creek Reservoir. Texas says its first phase represents more than $16.8 billion: a planned 100-million-square-foot vertically integrated semiconductor plant and 3,000 jobs, backed by a $30 million state grant. It would put logic fabrication, memory and advanced packaging under one roof. If delivered…
OpenAI shares become collateral SoftBank reported that its OpenAI position cost $44.6 billion and was worth $89.6 billion on June 30, and that SVF2 signed a $10 billion loan secured by OpenAI shares. This matters because the private lab’s own shares now back debt, tying future financing directly to OpenAI’s private valuation.
The most convincing part of a fake satellite screenshot may be the real map around it, so verify the source chain before forwarding A chat says: “This is what the industrial fire looks like from space.” Roads and smoke feel like evidence. Yet there is no source link or imagery date. In July 2026, Google let users generate private scenarios in Google Earth. The shared public map was not replaced. The feature was wit…
👍1
Netcare takes ICU warning AI to a regulator South African hospital group Netcare says it has applied to SAHPRA to distribute a TCC clinical decision-support tool studied in its ICUs. The system flags possible deterioration from continuously recorded vital signs; it does not diagnose or change treatment. The filing matters because it moves an existing hospital study toward regulated use, while clinicians keep every …
AI suspicion can standardize English twice: first through machine rewrites, then by teaching readers which authentic human words they should distrust A postgraduate sees a margin note: “Remove ‘delve’; it sounds AI-generated.” They have used the word for years, yet delete it to protect the paper’s credibility. Two sociolinguistic papers submitted on 30 July 2026 describe this feedback loop across World Englishes: m…
❤2
Anthropic builds a chip team Anthropic confirmed to Business Insider that it is building an in-house silicon team and hiring engineers to design custom chips for Claude. No chip is ready: Anthropic disclosed no architecture, manufacturing deal, schedule, or performance result. The move matters because custom silicon could give it more control over Claude’s capacity, speed, power use, and inference costs.
Long AI conversations can hide product failure when users spend extra turns repairing context instead of reaching the result they actually need A student spends 14 turns clarifying scholarship documents. The assistant stays warm, yet never says whether a pending certificate blocks submission. In a two-week MonitrLLM pilot, 26 college students rated interactions 4.19 out of 5 on average while reporting a 23.1% goal-…
👍1
Wayve clears a London robotaxi licensing step TfL issued private-hire vehicle licences for Wayve cars to carry passengers with licensed operators onboard when Uber's planned service starts. The licences remove a required vehicle-level barrier between the interest list and supervised rides. They do not approve fully driverless operation, and public rides are not live. The phased rollout will cover qualifying London…
👍1
Foxconn’s first NT$900 billion month Foxconn reported record unaudited July revenue of NT$946.512 billion, up 54.19% year on year. It said cloud and networking growth was driven by strong AI product pull-ins. This matters because AI demand is now reaching assembled server racks, not only chip orders or data center budgets. Foxconn expects AI rack shipments to keep growing in Q3.
The medical answer may become less safe under pressure, even when no new clinical fact appears between the first reply and the fifth “Seek prompt care” can become “monitor at home” after “this happened before” or “my friend says it is stress.” MedPRESS tested 600 medically grounded five-turn dialogues. Unsafe agreement rose from 5.9% on initial turns to 75.7% after final direct challenges. This is one simulated benc…
❤1
The delivery robot may yield politely while seeing only your legs, so its manners are limited by the bodies represented during training A corridor robot slows and lets an adult pass. Its 2D LiDAR scans one plane 15 centimetres above the floor. The policy sees motion and geometry, not a whole person. In the LegNav preprint, CALF learned simulated foot motion in under an hour on one RTX 3080. It then ran without furt…
❤1
Showing the 12 most recent of 20 posts we hold for @howaihelps. 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.
Citation-graph rank — 239,007 of 1,160,990entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channel’s name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.
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.
Named by 2 registered channels — every channel on the register whose own posts have named this one, by its current username or any other username it currently holds, merged from two separately captured readings of the same fact so a namer caught by only one of them is not missed and a namer both caught is not counted twice. A username this channel has since dropped is not matched — that handle may belong to someone else now, and crediting today’s namer to yesterday’s owner would misattribute it.
Named by
Channels on the register whose posts name this channel's handle.
A mention is a weaker signal than a forward and is counted separately for that reason — naming a channel is not republishing it, and a handle in a post body is easy to place deliberately. The post counts beside each row below are distinct posts in which the handle appeared, from posts we have read on both sides — the “Named by N registered channels” figure above is a different count, of distinct NAMING CHANNELS rather than posts, and is not the sum of the rows under it.
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 August 2026 — this entry's latest reading, not the date you are reading this.
“How AI Helps” (@howaihelps), 734 subscribers as measured 7 August 2026. Telegram Register, tgregister.com/channel/howaihelps.
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.