LLMs hallucinate because they function as lossy compressors like JPEG or MP3. https://inferara.com/blog/llm-information-theory-lossy-compression/
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Channel
@inferara
On this record: Topic · Growth · Engagement · Reactions · Posts · Polls · Cite this entry
49subscribers
+5 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1002128895233 |
|---|---|
| Type | Channel |
| Username | @inferara |
| Created | Between 1 November 2023 and 31 May 2024 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 10 August 2026 |
| Last confirmed live | 10 October 2026 |
| Measurements held | 5 |
| Confirmed unchanged | 2 times, most recently 10 October 2026 |
| On Telegram | t.me/inferara |
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 29 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.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 30 Sept 2026, 18:01 | 49 | +3 |
| 16 Sept 2026, 20:39 | 46 | +1 |
| 8 Sept 2026, 12:59 | 45 | +1 |
| 10 Aug 2026, 16:01 | 44 | no change |
| 7 Aug 2026, 21:25 | 44 | first reading |
20 posts held, back to 27 December 2024 — 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 16 April 2026. An engagement rate over an empty window would be a number about nothing.
43 reactions across 16 posts, in 5 distinct kinds. The most used accounts for 44.2% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 🔥 | 19 | 44.2% | |
| 👍 | 16 | 37.2% | |
| 👏 | 5 | 11.6% | |
| 👌 | 2 | 4.65% | |
| 💯 | 1 | 2.33% |
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 16 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 43 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 27 December 2024 to 16 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.
LLMs hallucinate because they function as lossy compressors like JPEG or MP3. https://inferara.com/blog/llm-information-theory-lossy-compression/
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A useful list of formal verification companies. https://github.com/ligurio/practical-fm
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A new version of VSCode extension is available! 0.0.3 https://marketplace.visualstudio.com/items?itemName=inference-lang.inference
Blogged: Monolithic Architecture vs. Formal Verification: The Combinatorial Explosion Problem. Read about the feasibility of formally verifying architectures of Stellar, Arbitrum & Polkadot as well as their strengths & limitations. https://www.inferara.com/en/blog/monolithic-architecture-vs-fv/
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We compare UniswapX’s RFQ → exclusive-then-open Dutch two-stage auction with 1inch Fusion’s classic Dutch model to show how intent-based swaps curb MEV, failures, and liquidity fragmentation for better market-making. https://www.inferara.com/en/blog/pocket-exchange/
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Blogged: Preparing Polkadot pallet Balances for Formal Verification. Read about the Inferara team's work supported by Web3foundation on preparing Polkadot pallet Balances for formal verification by reimplementing it as an Ink! smart contract for isolated analysis. https://www.inferara.com/en/blog/preparing-polkadot-pallet-balances-for-formal-verification/
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Blogged: An introduction to Fully Homomorphic Encryption (#FHE), a cryptographic technique that allows computations to be performed on encrypted data without needing to decrypt it first. https://www.inferara.com/en/blog/fhe-intro/
A deep dive into implementing the ’tagless initial’ pattern in Rust using enums and the never type to achieve zero-cost abstractions, demonstrated with optimized assembly output. https://www.inferara.com/en/blog/rust-tagless-final-gadt/
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Exploring how game-theoretical modeling can be applied to decentralized exchange (DEX) protocols to identify design weaknesses and strategic attack vectors. https://www.inferara.com/en/blog/game-theoretical-assessment-dex-protocols/
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Blogged https://www.inferara.com/en/blog/abstract-methods-with-auto-inferred-arguments/
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We just published a Rust crate that provides an effective solution for formatting WebAssembly Text (WAT) code. This crate is designed to tokenize, parse, and pretty print WAT code, thereby improving both readability and consistency. It supports no_std environments, so it can be built for WASM. https://github.com/Inferara/inf-wasm-tools/tree/main/wat-fmt
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Blogged https://www.inferara.com/en/blog/embedded-c-libraries/
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Showing the 12 most recent of 20 posts we hold for @inferara. 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.
The poll we hold for this entry, as Telegram rendered it when we read the post. A poll’s figures keep moving after that, so each one is dated.
mut is a must
Shares as published. No per-option vote count is published by Telegram, so none is shown.
Percentages only — there are no per-option vote counts here, because Telegram publishes none. The public post preview gives each option’s share and a single voter total, and nothing else. Multiplying one by the other would produce a per-option tally that looks measured and is not: the shares are rounded to whole numbers before we ever see them. We print what was published and leave the column that does not exist empty.
The shares need not add up to 100. Rounding alone puts many polls at 99 or 101. A poll that allows more than one answer per voter runs well past 100 by design, and several here do. The bars are drawn against a fixed 100% track at each option’s own percentage rather than normalised to the total, so a poll that exceeds it shows that it does instead of being quietly rescaled.
Read from the 20 most recent posts we hold, published 27 December 2024 to 16 April 2026. Telegram labels each poll by kind — an anonymous poll, a quiz, a closed set of final results — and that label is reproduced rather than paraphrased.
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 30 September 2026 — this entry's latest reading, not the date you are reading this.
“Inferara” (@inferara), 49 subscribers as measured 30 September 2026. Telegram Register, tgregister.com/channel/inferara.
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.