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Engineer Readings

@engineerreadings

On this record: Topic · Growth · Engagement · Reactions · Posts · Citations · Cite this entry

550subscribers

+20 since we began measuring on 11 August 2026

Risers and fallers across the register · movement among entries of Under 1,000.

Register entry

Telegram ID-1001328414062
TypeChannel
Username@engineerreadings
Created16 July 2019 — measured — cross-checked against a third-party dataset (TGDataset)
First recorded11 August 2026
Last confirmed live25 September 2026
Measurements held6
Confirmed unchanged2 times, most recently 25 September 2026
On Telegramt.me/engineerreadings

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 21 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

53055054011 August 2026 — 530 subscribers12 August 2026 — 530 subscribers19 August 2026 — 549 subscribers27 August 2026 — 550 subscribers3 September 2026 — 549 subscribers12 September 2026 — 550 subscribers11 August 202612 September 2026
6 measurements spanning 32 days, net +20. 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 527–553 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
12 Sept 2026, 12:41550+1
3 Sept 2026, 16:14549-1
27 Aug 2026, 01:46550+1
19 Aug 2026, 09:48549+19
12 Aug 2026, 10:07530no change
11 Aug 2026, 21:16530first reading

Engagement

20 posts held, back to 14 January 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 page 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 20 posts for this entry, the most recent from 11 August 2026. An engagement rate over an empty window would be a number about nothing.

Reaction mix

21 reactions across 7 posts, in 4 distinct kinds. The most used accounts for 57.1% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
👍1257.1%
🔥628.6%
🤯29.52%
🤔14.76%

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 8 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 21 reactions 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 14 January 2026 to 11 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

11 Aug 2026, 12:22 UTC88 viewsread 11 August 2026

[challenge][reverse engineering] https://blog.janestreet.com/can-you-reverse-engineer-an-asic/

3 Aug 2026, 06:35 UTC223 viewsread 11 August 2026

[llm][pelican on the bicycle] https://simonwillison.net/2025/Jun/6/six-months-in-llms/

31 Jul 2026, 09:30 UTC259 views5 reactionsread 11 August 2026

[llm][harness] https://lilianweng.github.io/posts/2026-07-04-harness/

👍5

17 Jul 2026, 10:07 UTC381 views2 reactionsread 11 August 2026

[llm][skills and evals][video] Great overview with tips for writing skills from Google Deepmind engineer: https://www.youtube.com/watch?v=0vphxNt4wyk

👍2

9 Jul 2026, 13:59 UTC414 viewsread 11 August 2026

[ai][world models] It’s been a while. I feel sorry for not sharing much within a 3 months period. I’ll try to get it going. Recently watched Yann LeCun presentation explaining World Models concept. Seems the deeper researched dig the further AI hype goes. Although it’s quite interesting! https://www.youtube.com/watch?v=72Xj8k5WQX4

14 Apr 2026, 15:30 UTC718 viewsread 11 August 2026

[ai][layoff][paper] “If AI displaces human workers faster than the economy can reabsorb them, it risks eroding the very consumer demand firms depend on. We show that knowing this is not enough for firms to stop it. In a competitive task-based model, demand externalities trap rational firms in an automation arms race, displacing workers well beyond what is collectively optimal. The resulting loss harms both workers an…

15 Mar 2026, 19:56 UTC654 viewsread 11 August 2026

[ai][computer integrated to transformer] https://percepta.ai/blog/can-llms-be-computers

9 Mar 2026, 07:42 UTC641 views2 reactionsread 11 August 2026

[ai][human brain cells] https://x.com/joshkale/status/2030719536991805595?s=46&t=eNN3Y-GKeBSlFyyj1ozvgg

🔥2

9 Mar 2026, 07:30 UTC500 viewsread 11 August 2026

[ai][multi-behavior brain] https://x.com/alexwg/status/2030217301929132323?s=46&t=eNN3Y-GKeBSlFyyj1ozvgg

26 Feb 2026, 12:51 UTC614 views2 reactionsread 11 August 2026

[llm][research] “We show that large language models can deanonymize users at scale. With internet access, our agent can re-identify pseudonymous Hacker News and Anthropic Interviewer users with high precision—matching hours of human investigation. In a closed-world setting, we build a scalable LLM pipeline that: 1. extracts identity clues from raw text, 2. finds candidate matches via semantic search, and 3. veri…

👍1🤔1

16 Feb 2026, 11:36 UTC504 viewsread 11 August 2026

[research][google deepmind][llm][agents] “AI agents are able to tackle increasingly complex tasks. To achieve more ambitious goals, AI agents need to be able to meaningfully decompose problems into manageable sub-components, and safely delegate their completion across to other AI agents and humans alike. Yet, existing task decomposition and delegation methods rely on simple heuristics, and are not able to dynamically…

Showing the 12 most recent of 20 posts we hold for @engineerreadings. 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

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.

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

“Engineer Readings” (@engineerreadings), 550 subscribers as measured 12 September 2026. Telegram Register, tgregister.com/channel/engineerreadings.

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.