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Channel

Hitchhiking Inverse Log

@hitchhiking_exponential

On this record: Topic · Growth · Engagement · What this channel posts · Posts · Citations · Cite this entry

2,850subscribers

-46 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 1,000–3,162.

Register entry

Telegram ID-1001325846410
TypeChannel
Username@hitchhiking_exponential
CreatedBetween 1 March 2018 and 31 August 2021 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live18 September 2026
Measurements held13
Confirmed unchanged1 time, most recently 18 September 2026
On Telegramt.me/hitchhiking_exponential

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 15 September 2026 and assigned it the closest of 31 fixed categories, at 100% 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

2,8502,8962,8736 August 2026 — 2,896 subscribers6 August 2026 — 2,894 subscribers10 August 2026 — 2,890 subscribers13 August 2026 — 2,883 subscribers16 August 2026 — 2,881 subscribers19 August 2026 — 2,884 subscribers26 August 2026 — 2,888 subscribers30 August 2026 — 2,891 subscribers2 September 2026 — 2,889 subscribers5 September 2026 — 2,879 subscribers10 September 2026 — 2,855 subscribers14 September 2026 — 2,852 subscribers18 September 2026 — 2,850 subscribers6 August 202618 September 2026
13 measurements spanning 43 days, net -46. 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 2,843–2,903 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
18 Sept 2026, 17:202,850-2
14 Sept 2026, 11:592,852-3
10 Sept 2026, 16:372,855-24
5 Sept 2026, 18:572,879-10
2 Sept 2026, 02:132,889-2
30 Aug 2026, 04:252,891+3
26 Aug 2026, 22:482,888+4
19 Aug 2026, 21:342,884+3
16 Aug 2026, 16:572,881-2
13 Aug 2026, 00:252,883-7
10 Aug 2026, 01:112,890-4
6 Aug 2026, 23:442,894-2
6 Aug 2026, 16:372,896first reading

Engagement

13 posts held, back to 13 June 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 2 pages of Telegram’s post history, 20 posts per page.

Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 13 posts for this entry, the most recent from 3 August 2026. An engagement rate over an empty window would be a number about nothing.

What this channel posts

Video runtime
12s
Average length
12s

Measured directly from 1 video 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.

Recent posts

3 Aug 2026, 22:10 UTC≈1,050 viewsread 7 August 2026

Slightly stale news, but there were 10 more math discoveries in the past few days, by OAI, at the total cost of $2k. https://openai.com/index/ten-advances-in-mathematics/ I am not a math expert so it is hard for me to judge this, but it seems like the AI frontier has caught up with best humans in some parts of math. Given the trend, we should expect more math breakthroughs in coming months.

29 Jul 2026, 16:43 UTC≈1,960 viewsread 7 August 2026
Photo

Opus 5 bots on Max effort are very chatty. I had to lower their effort - they can still create subagents with higher effort for hard tasks, investigations or verification.

25 Jul 2026, 18:40 UTC≈3,990 viewsread 7 August 2026

My job from a year ago has changed and two aspects of the change are hard on me. I think the concern is generalizable. 1. The state of flow is gone. The manual process of writing code used to be my main source of dopamine, for two decades. 99% of the time I was in the state of flow in my life was from coding (the other 1% being piano), and I didn't have it since December. This has impacted my mental health. I had si

23 Jul 2026, 03:13 UTC≈4,090 viewsread 7 August 2026

- Every school teacher in US gets Claude for free - This Claude is connected to the entire ecosystem of standard school tools in US - This data isn't used for model training - This program is for directly for teachers/people, not school system or organizations https://www.anthropic.com/news/claude-for-teachers

10 Jul 2026, 06:03 UTC≈3,190 viewsread 7 August 2026

The Exponential leads to singularity which, by definition, makes things hard to predict, but one thing that has been consistent with The Exponential is that most people routinely underestimate how soon things will happen

26 Jun 2026, 16:56 UTC≈3,630 viewsread 7 August 2026

TIL there is a movie about Escher https://youtu.be/nTxay3lAv1M

24 Jun 2026, 05:09 UTC≈2,550 viewsread 7 August 2026
Photo

The Allen Institute building in Seattle has a notable decorated walls. Zoomed in, these are red 0s and 1s, blue arrows and white letters.

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

Forward network

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.

Mentions

Named by 1 registered channel — 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.

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 18 September 2026 — this entry's latest reading, not the date you are reading this.

“Hitchhiking Inverse Log” (@hitchhiking_exponential), 2,850 subscribers as measured 18 September 2026. Telegram Register, tgregister.com/channel/hitchhiking_exponential.

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.