https://ky.fyi/posts/ai-burnout
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Channel
@phimulambda
On this record: Growth · Engagement · Reactions · Posts · Citations · Cite this entry
1,225subscribers
+1 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 1,000–3,162.
| Telegram ID | -1002079547535 |
|---|---|
| Type | Channel |
| Username | @phimulambda |
| 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 | 11 August 2026 |
| Measurements held | 3 |
| Confirmed unchanged | 1 time, most recently 11 August 2026 |
| On Telegram | t.me/phimulambda |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 11 Aug 2026, 03:05 | 1,225 | +1 |
| 8 Aug 2026, 00:43 | 1,224 | no change |
| 7 Aug 2026, 02:45 | 1,224 | first reading |
20 posts held, back to 20 April 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.
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 25 April 2026. An engagement rate over an empty window would be a number about nothing.
40 reactions across 13 posts, in 8 distinct kinds. The most used accounts for 27.5% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 👍 | 11 | 27.5% | |
| ❤ | 10 | 25.0% | |
| 👏 | 10 | 25.0% | |
| 😭 | 5 | 12.5% | |
| ❤🔥 | 1 | 2.50% | |
| 🔥 | 1 | 2.50% | |
| 😢 | 1 | 2.50% | |
| 🤔 | 1 | 2.50% |
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 13 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 40reactions 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 20 April 2026 to 25 April 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.
https://ky.fyi/posts/ai-burnout
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https://discourse.ubuntu.com/t/an-update-on-rust-coreutils/80773 https://www.phoronix.com/news/Ubuntu-Rust-Coreutils-Audit
One of the 44 70 CVEs in the Rust rewrite of coreutils. It blatantly uses .expect() for error handling. https://www.cve.org/CVERecord?id=CVE-2026-35348
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In its semantic structure Scheme is as closely akin to Algol 60 as to early Lisps. Algol 60, never to be an active language again, lives on in the genes of Scheme and Pascal. It would be difficult to find two languages that are communicating coin of two more different cultures than those gathered around these two languages. Pascal is for building pyramids—imposing, breathtaking, static structures built by armies push…
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(φ (μ (λ))) pinned «Our traffic with the subject matter of this book involves us with tree foci of phenomena: the human mind, collections of computer programs, and the computer. Every computer program is a model, hatched in the mind, of a real or mental process. These processes…»
Our traffic with the subject matter of this book involves us with tree foci of phenomena: the human mind, collections of computer programs, and the computer. Every computer program is a model, hatched in the mind, of a real or mental process. These processes, arising from human experience and thought, are huge in number, intricate in detail, and at any time only partially understood. They are modeled to our permanent…
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My position on the discussion (I extensively quoted SICP):
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After a few discussions with rms (Richard Stallman), I have been said that the FSF would love to collaborating with lawyers who can help them in fleshing out their AI/LLM policy. If anybody here works or knows someone who works in law and believes in free/libre software, please reach out to me. I will connect you with rms and Krzysztof who leads the FSF Licensing & Copyright Compliance team. We really need to collab…
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https://tante.cc/2026/04/21/ai-as-a-fascist-artifact/
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https://github.com/palincat/gama
After second systeming the assembler from the linked reply, I set out to implement a Forth for RISC-V with it. In particular, I targeted the Qemu "Virt" machine, which is an abstract idealized RISC-V machine that supports the OpenSBI interface, which in itself is like a BIOS but for RISC-V. In about 4 days I managed to implement the most basic Forth functionalities. Now I can implement the fancier abstractions from…
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Ichbiah, Barnes, et.al, Rationale for the Design of the Ada Programming Language (1986)
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Showing the 12 most recent of 20 posts we hold for @phimulambda. 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 — 505,499 of 1,169,250entries 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.
Republishes
Channels on the register whose posts this channel has forwarded.
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.
Names
Channels on the register whose handles appear in this channel's posts.
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 11 August 2026 — this entry's latest reading, not the date you are reading this.
“(φ (μ (λ)))” (@phimulambda), 1,225 subscribers as measured 11 August 2026. Telegram Register, tgregister.com/channel/phimulambda.
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.