Channel
@EverUniver
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
57subscribers
+0 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1001762234058 |
|---|---|
| Type | Channel |
| Username | @EverUniver |
| Description | youtube.com/@EverUniver |
| Created | Between 1 December 2021 and 31 March 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 10 August 2026 |
| Last confirmed live | 10 August 2026 |
| Measurements held | 2 |
| On Telegram | t.me/EverUniver |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 10 Aug 2026, 06:46 | 57 | no change |
| 7 Aug 2026, 08:48 | 57 | first reading |
20 posts held, back to 3 August 2025 — 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 15 June 2026. An engagement rate over an empty window would be a number about nothing.
Lifetime counters from Telegram’s own channel header, read 10 August 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.
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.
1 reaction across 1 post, in 1 kind.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ⚡ | 1 | 100.0% |
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 1 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 1reactions 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 2025 to 15 June 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.
📁 Обучение саморедактирующегося поискового агента Как правило, конвейеры поиска работают в один проход, что создает проблему, когда информация, необходимая для ответа на вопрос, разбросана по нескольким документам или требует промежуточных рассуждений для ее поиска, на практике многие реальные запросы требуют многошагового поиска, при котором результат одного поиска влияет на следующий, недавние исследования показал…
📁 Разложение контекста: как увеличение количества входных токенов влияет на производительность LLM Обычно предполагается, что большие языковые модели обрабатывают контекст единообразно – то есть модель должна обрабатывать 10000й токен так же надежно, как и 100й, однако на практике это предположение не выполняется, мы наблюдаем, что производительность модели значительно меняется в зависимости от длины входных данных,…
👁 Workshop по gosh.ai Пройдёт в Web3 Voice в Пятницу, 29 мая в 22:00 UTC+3 Задать вопросы голосом можно будет в Discord 🌐 Так же трансляция будет на YouTube 🔴 👤 Спикер: Mitja Goroshevsky – co-founder GOSH и создатель GOSH.AI. GOSH.AI – это разрабатываемая Митей Горошевским операционная система для мультиагентных AI-систем, которая использует блокчейн для верификации и установки безопасных рамок для работы ИИ-аген…
🔗 lexfridman.com/hiring #job
🔗 alphaxiv.org/about #job
Vibe Engineering Practice #1 📁 youtube.com/watch?v=H4-P33vRaR0 We compare two approaches to performing a recurring task of checking a project's compliance with design guidelines, the first approach is using a direct prompt for the AI agent "vibe coding," while the second is creating a specialized console tool (CLI tool) for the same task "agent engineering", during the practice, they set up an environment for tra…
Privacy-Preserving Verifiable Neural Network Inference Service 📁 arxiv.org/abs/2411.07468 The paper presents the vPIN system, which enables the use of neural networks on cloud services while maintaining the privacy of client data and verifiability of computations, the method combines homomorphic encryption and SNARK proofs, optimizing them for high efficiency, experiments on MNIST and CIFAR-10 have shown that vPIN …
🕵🏻♂️ Agent Development Kit (ADK) is an open-source framework designed to simplify the development, deployment, and orchestration of AI agents and multi-agent systems, with a focus on modularity, compatibility, and integration with cloud services, while remaining model-agnostic. Here’s what already exists: - https://google.github.io/adk-docs/ -multi-agent orchestration with built-in evaluation and deployment tools, …
The essence of the article The Singularity will Occur on a Tuesday July 18 2034 is that technological singularity is framed not as some vague "someday", but as a concrete and almost inevitable outcome of hyperbolic growth: once AI begins improving itself (and the tools used for that improvement), a positive feedback loop emerges, accelerating progress beyond simple exponential rates The author argues that such a pr…
📁 Formally Verifying Noir Zero Knowledge Programs with NAVe — The paper presents NAVe, a tool for checking Noir zero-knowledge programs for mistakes, it verifies that the program’s constraints match what the developer intended, especially when unconstrained code is used, the tool translates Noir’s circuit representation into SMT formulas and uses cvc5 to find bugs or counterexamples 🐱 Noir is a Domain Specific Langu…
XML Schema for Crypto-Asset Reporting Status Message User Guide for Tax Residents 📁 doi.org/10.1787/e528d7f5-en OECD's instruction on how countries will technically exchange data on crypto-assets and errors in that data under CARF - the global crypto control framework, inside: XML schemas, statuses, error codes, and the logic by which tax authorities and service providers will communicate in machine-readable languag…
What can an 8-year-old build in 45 minutes using artificial intelligence? Here are the highlights of her second 45-minute programming lesson, source #ai #stem
Showing the 12 most recent of 20 posts we hold for @EverUniver. 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.
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 10 August 2026 — this entry's latest reading, not the date you are reading this.
“Ever Univer” (@EverUniver), 57 subscribers as measured 10 August 2026. Telegram Register, tgregister.com/channel/EverUniver.
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.