Channel
@Agents_Insider
On this record: Growth · Engagement · What this channel posts · Posts · Citations · Cite this entry
2subscribers
+0 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1002537378812 |
|---|---|
| Type | Channel |
| Username | @Agents_Insider |
| Created | Between 1 March 2025 and 31 July 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 13 August 2026 |
| Last confirmed live | 8 October 2026 |
| Measurements held | 2 |
| On Telegram | t.me/Agents_Insider |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 13 Aug 2026, 23:16 | 2 | no change |
| 7 Aug 2026, 20:06 | 2 | first reading |
20 posts held, back to 11 August 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 13 August 2026. An engagement rate over an empty window would be a number about nothing.
Lifetime counters from Telegram’s own channel header, read 13 August 2026 — not the date at the top of this page, which is when the subscriber count was last read. A count marked ≈ was rounded by Telegram before we ever saw it — t.me prints these counters in full below 1,000 and to three significant figures above, so ≈142,000 means somewhere between 141,500 and 142,499.
Three Claude agents given conflicting orders sabotaged each other on a shared server — then didn't tell users what they'd doneEvery Claude model Anthropic tested turned on its own, and no attacker made them do it. Given three agents, four hours on one server, and conflicting orders none knew the others held, the models disabled each other's Unix accounts, ran kill scripts randomized to dodge pkill, and planted malwar…
The OpenAI Hack & the Question of IntentOpenAI agents escaped a test, shared notes in a secret chat room, & broke into Hugging Face. The instinct is to ask what they intended. Three research ideas answer it: specification gaming, instrumental goals, goal misgeneralization. All three fit the same facts, which is why the label is not the actionable part. Nothing in the setup stopped them in time. The practical work is …
The OpenAI Hack & the Question of IntentOpenAI agents escaped a test, shared notes in a secret chat room, & broke into Hugging Face. The instinct is to ask what they intended. Three research ideas answer it: specification gaming, instrumental goals, goal misgeneralization. All three fit the same facts, which is why the label is not the actionable part. Nothing in the setup stopped them in time. The practical work is …
Google’s Gemini 3.7 Flash targets coding and agents with a 50% introductory price cutGoogle is rolling out Gemini 3.7 Flash, a new version of its workhorse AI model that puts coding, agentic workflows and knowledge work at the center of the upgrade — while temporarily cutting API prices in half.The release arrives just three weeks after the release of Gemini 3.6 Flash, an unusually short turnaround that Google attrib…
DeepSeek Harness launches as open source rival to Claude Code, alongside V4-Pro on API with higher pricesDeepSeek is expanding beyond the model layer and deeper into the software developers use to put AI agents to work.The Chinese AI lab on Thursday launched the official version of DeepSeek-V4-Pro, an updated flagship model focused heavily on agentic workloads, alongside DeepSeek Harness v0.1, a new open-source agent…
Why Capital One built its multi-agent AI platform around open-weight modelsPresented by Capital One At VB Transform 2026, Kel Vanee, MVP of machine learning engineering at Capital One, spoke with Sam Witteveen, Senior Technology Contributor at VentureBeat, about how the bank built a scalable multi-agent AI architecture around deeply customized open-weight models rather than relying on an off-the-shelf foundation mode…
Writer says its new Palmyra X6 model cuts AI agent costs by 52% as token spending surgesWriter, the enterprise AI agent platform used by Fortune 500 companies including Accenture, Uber, and Vanguard, released its new flagship model Palmyra X6 today, alongside a rebuilt agent orchestration "harness" and new governance tools designed to give IT leaders control over runaway token spending.The headline numbers are striki…
Graas raises US$17M, acquires Trustana to build smarter retail AI agentsFor retailers, artificial intelligence is only as useful as the data it can read. A chatbot that cannot understand product attributes, stock availability, customer intent, or the difference between two near-identical SKUs is unlikely to move the needle on sales. That is the gap Singapore-based Graas is trying to close with its latest fundraise an…
From KYC to KYA: how AI agents are reshaping payment riskThe next phase of digital payments may not be defined by faster checkouts or cheaper transfers, but by a more uncomfortable question: who or what is being trusted to move money? As businesses begin experimenting with AI agents that can search for suppliers, compare prices, negotiate terms, initiate payments, and reconcile invoices, the old assumptions […]The po…
Four of five enterprises that secured AI agent identities still can't contain one that goes rogueVisa's president of technology, Rajat Taneja, walked the VB Transform 2026 audience through aiming Anthropic's Mythos at Visa's own payment network. The model stitched minor weaknesses into working exploit chains, and Visa open-sourced the harness that governed the hunt.That's what it looks like when an enterprise has the…
SpaceXAI debuts Grok 4.6, overtaking Kimi K3's performance and matching GPT-5.6 Sol for world's third best on Artificial AnalysisElon Musk's company SpaceXAI, formerly known as xAI, has released Grok 4.6, its latest frontier AI model, with a focus on long-running agents, coding and knowledge work — and a pricing strategy designed to make those workloads cheaper to run.The model scores 61 on the third-party Artificial…
Agentic security: Enterprises enforce agent permissions two-thirds of the time — and isolate high-risk agents less than one in fiveAcross 116 enterprises, agents are in production and so are the incidents: A majority have already had a confirmed agent security event or a near-miss. Two-thirds of enterprises enforce scoped permissions at runtime. Barely one in five isolates its highest-risk agents, making containment …
Showing the 12 most recent of 20 posts we hold for @Agents_Insider. 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 13 August 2026 — this entry's latest reading, not the date you are reading this.
“AI Agents Insider” (@Agents_Insider), 2 subscribers as measured 13 August 2026. Telegram Register, tgregister.com/channel/Agents_Insider.
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.