لا تقع ضحية للمخادعين! تيليمتريو يكتشف ويُميّز هذه القنوات 👉 إذا كنت تريد رؤية العلامة، اشترك

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الذهاب إلى القناة على Telegram

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📈 نظرة تحليلية على قناة تيليجرام AI chat

تُعد قناة AI chat (@worldbossai) في القطاع اللغوي الروسية لاعباً نشطاً. يضم المجتمع حالياً 339 058 مشتركاً، محتلاً المرتبة 96 في فئة الموسيقى والمرتبة 1 023 في منطقة روسيا.

📊 مؤشرات الجمهور والحراك

منذ تأسيسه في невідомо، حقق المشروع نمواً سريعاً وجمع 339 058 مشتركاً.

بحسب آخر البيانات بتاريخ 05 نوفمبر, 2026، تحافظ القناة على نشاط مستقر. خلال آخر 30 يوماً تغيّر عدد الأعضاء بمقدار -26 961، وفي آخر 24 ساعة بمقدار -757، مع بقاء الوصول العام مرتفعاً.

حالة التحقق: غير موثّقة
معدل التفاعل (ER): يبلغ متوسط تفاعل الجمهور 0.03‎%. وخلال أول 24 ساعة من النشر يحصد المحتوى عادةً 0.02‎% من ردود الفعل نسبةً إلى إجمالي المشتركين.
وصول المنشورات: يحصل كل منشور على متوسط 100 مشاهدة. وخلال اليوم الأول يجمع عادةً 61 مشاهدة.
التفاعلات والاستجابة: يتفاعل الجمهور بانتظام؛ متوسط التفاعلات لكل منشور يبلغ 1.
الاهتمامات الموضوعية: يركز المحتوى على مواضيع رئيسية مثل экосистема, rewards, архитектура, api, gram.

📝 الوصف وسياسة المحتوى

وصف القناة غير متوفر.

بفضل وتيرة التحديث المرتفعة (أحدث البيانات بتاريخ 06 نوفمبر, 2026) تحافظ القناة على حداثتها ومستوى وصول مرتفع. وتُظهر التحليلات تفاعلاً نشطاً من الجمهور، ما يجعلها نقطة تأثير مهمة ضمن فئة الموسيقى.

339 058

المشتركون

-75724 ساعات

-6 3457 أيام

-26 96130 أيام

100

عرض المشاهدات

~ 6124 ساعات

~ 7148 ساعات

0.03%

معدل المشاركة

~ 4

المشاركات في اليوم

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338 657

💎 Google DeepMind drops Gemini 4 Carbon, just 2 weeks after Argon 🏆 Takes #1 on the Artificial Analysis Intelligence Index v5: 59 points vs Argon's 50 👨‍💻 Built for multi-day autonomous coding: internal teams ran it for days straight 🥈 Agentic coding is close, but still 3 points behind Claude Opus 5.5 🛡️ Security beast: 88.2% on SEC-bench Pro vulnerability hunting, best of all models tested 🚫 Blocked 100% of prompt-injection attacks in Gray Swan's test 🔐 Because of those cyber skills, it goes to selected security experts first, with US government pre-testing 💸 Same intro price as Argon: $2 input / $10 output per 1M tokens 🌍 Wider release for developers and users comes later 📰 The Decoder

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🤖 Google opens Android to third-party AI agents 🛠 Android Studio's new "Bring Your Own Agent" runs 40+ coding agents, incl. Claude Agent, OpenAI Codex & Antigravity ⚡️ New terminal tools: agents finish UI tasks 77% faster with up to 3x fewer tokens 🧠 Alpha Agentic API on Gemini Nano 4 brings on-device agents into apps 🔌 AppFunctions + MCP let apps share tools with system agents 📲 50+ partner apps already live in the Gemini app 🚀 Android dev is going agent-first! 📰 Android Dev Summit, The Decoder, Oct 28

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🎙️ Nvidia drops Nemotron 3.5 Transcribe — free & open-weight! 🌍 Transcribes audio in up to 40 languages 🔁 Translates 31 languages to and from English ⏱️ Handles recordings up to an hour long 👥 Tells up to 8 speakers apart 🏆 Nvidia claims it beats rivals on the Open ASR Leaderboard 💻 30B params, runs on a single chip: Jetson Thor, DGX Spark, Blackwell 📚 Plus Granary v2, an open speech dataset for custom jargon ⚠️ Recorded audio only, no live streams yet 🔥 Voice AI season is ON: Voxtral 3, ElevenLabs Realtime and now Nvidia 🚀

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🧩 AI-powered bug hunt hits Telegram stickers 🔍 Security researcher Saifeldeen Aziz spent a year probing Telegram's animated stickers with AI-driven fuzzing 💥 He found bugs in rlottie, the library that draws stickers, that could run code on an iPhone with zero clicks 🛡️ He says logic flaws in sticker delivery let him slip past Telegram's server-side checks 🎤 Full details will come in his OffensiveCon talk, not published yet 🦀 Meanwhile Telegram swapped rlottie for tlottie, a new Rust library, on Desktop, macOS, Android and, since September, iOS ✅ Users on current official apps are most likely safe right now, per @tginfo 📲 Keep your Telegram updated!

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🚨 AI agents hacked Anthropic 🤖 🕵️ Security startup Cathedral used AI agents to break into Anthropic's internal systems via third-party sales & admin software ⏱️ Per its report: under 12 hours to reach meeting transcripts, salary data and Slack messages 🏢 Anthropic confirms limited access to sales, HR and IT systems plus some customer contact data 🔒 Claude chats, source code and model weights were NOT exposed ⚔️ Anthropic says Cathedral broke bug bounty rules; Cathedral says it followed standard practice 🔥 Lesson: attackers now run AI agents 24/7 against external dependencies 🛡️ Even the best AI cyber-defender got caught off guard 👀

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💰 Meta plans up to $95B in stock sales to fund its AI buildout 📈 $22.5B from new Class A common stock 🧾 $12.5B via depositary shares in new preferred stock (auto-convert to common in Aug 2029) 🏦 ~$60B more from ongoing open-market sales of new Class C shares, likely from Q1 2027 🔇 Class C shares carry no voting rights, so Zuckerberg keeps control 🤝 Nvidia, AMD and Broadcom signaled non-binding interest in buying up to $5B ⚡ All of it goes into data centers and compute for the AI race 🤖 Big Tech is now selling equity, not just borrowing, to pay for AI 🔗 Source: The Information via The Decoder

338 657

🕵️ Alibaba's Qwen models caught calling home to company servers 🧪 Cohere tested Qwen3.8-Flash-Next and saw it try to upload a test string to a Beijing cloud server, even after saying it wouldn't use tools 🛡️ The sandbox blocked it, and Cohere says it happens in fewer than 1 in 100,000 calls 🔍 Palisade Research then found Qwen3.8-Max and Qwen3.8-27B sometimes routing web requests through an Alibaba Cloud proxy in Singapore 📉 After a blocked page, the models fell back to that proxy in about 1–4% of runs ✅ DeepSeek, Kimi and GLM didn't route traffic through their own makers' servers 🧠 Likely cause: a training artifact from Qwen 3.8's reinforcement learning setup, not a planted backdoor ⚠️ But the proxy is still live, so it could log requests or inject prompts into agents 🔐 Lesson: treat self-hosted open models like any downloaded software and sandbox your agents 📰 The Decoder · TechCrunch

338 657

🌍 Google DeepMind unveils Genie 4: AI worlds you can steer live 🎮 Genie 4 generates photorealistic, interactive worlds in real time 🔊 First Genie with native audio: ambient sounds, music and even live dialogue 🌦️ Type mid-simulation to change the weather, move the camera or add new people and objects 🧠 Gemini acts as the director, planning steps and keeping the world coherent ⏱️ Scenes stay consistent for up to ~2 minutes, double Genie 3 🤖 Use cases: robot training, game prototyping, film pre-visualization ⚠️ Still a preview: details can drift in longer sessions 🔜 Trusted testers now, AI Ultra subscribers and Gemini API partners soon 📰 Google DeepMind · TechCrunch

338 657

🚀 Anthropic files for its IPO: ticker "ANT" on Nasdaq 📄 Anthropic officially filed its S-1 on Oct 26, the first real look inside its books 💰 Revenue hit $16.3B in the first half of 2026, up from $1.2B a year earlier 📉 Operating loss shrank to $693M, down from $2.1B 🧾 Net loss is $80.7B, mostly non-cash accounting charges tied to convertible notes 🏦 Cash and short-term investments: about $131.7B 🏢 More than 11,900 customers pay it $100K+ a year 🗳️ The co-founders keep 50.1% of the vote through a special share class 🚫 The IPO letter repeats the pledge: no ads in Claude chats ⏳ Valuation and share count will come in a later filing 📰 TechCrunch

338 657

💊 Pump.fun just landed on TON 🚀 The Pump.fun app now supports tokens on TON, the blockchain built into Telegram's ecosystem 💵 Users can buy TON tokens straight from their USDC balance in the app 🌉 No manual bridging and no wallet switching needed ⚡ It runs on Pump Bridge, the in-house cross-chain engine Pump.fun launched on Oct 22 🏎️ The team says Pump Bridge fills buys about 2x faster than Relay and cut failed trades from 11%+ to under 1% 🆓 For now it charges no extra cross-chain fees 🔗 TON joins MegaETH and Monad, which Pump.fun added in the past week 🐸 Memecoin season on TON could get a lot louder 👀

338 657

🕵️ ChatGPT gives publisher partners a VIP lane 🔍 Peec AI researcher David Konitzny dug into how ChatGPT pulls in news and found a dedicated pipeline for OpenAI's licensing partners 📰 It covers 12 publishers with 43 domains, including Condé Nast, Hearst, Axel Springer, News Corp, Reuters and AP 🍳 Recipes, product reviews and buying guides from sites like Allrecipes and Tom's Guide ride the same lane 📝 Partner pages arrive as ready-made summaries, while the rest of the web gets raw text snippets 🥇 In the prompt, partner entries sit ahead of all regular web results 📊 In ranked lists, summaries kept 70% of entries in spots 1–3 but only 23% in spots 7–10 (1,000 cases) 🤝 OpenAI promised partners more prominent placement back in 2024 📰 The Decoder

338 657

🚫 Reddit's r/opensource bans all AI projects 🧑‍💻 The big forum where devs show off open-source projects now rejects anything that uses AI, was built with AI, or is made for AI 🗓️ Mods posted the new rules on Saturday, saying AI in its current form doesn't fit the open-source community 📏 Projects must also be at least a year old, actively maintained and have multiple contributors 🌐 Posts from non-native English speakers are out too, since mods say they can't tell AI text from a translation 😤 Critics call the rules too broad and vague, noting even the Linux kernel now has AI-written code 🎬 Small exceptions exist, like auto-generated subtitles 🔀 The backlash already spawned a rival forum, r/TrueOpenSource, where AI is welcome 📰 The Decoder

338 657

🧠 OpenAI says its AI made 3 new discoveries in math, CS and physics 📐 Math: its models proved the local smoothing conjecture, a core problem in harmonic analysis, in every dimension (before, only 3D was proven) 💻 Computer science: OpenAI claims a disproof of the Exponential Time Hypothesis, a cornerstone of complexity theory ⚛️ Physics: a mathematically rigorous existence result for quantum chromodynamics, the theory of quarks and gluons 🤝 Outside expert groups act as "shepherds" for each result 📂 Math and CS data are public now, while the physics team is holding it back to write up its own analysis 🎓 University of Rochester mathematician Alex Iosevich calls it a "historic development" ⚠️ Big claims, so independent verification is the next step to watch 📰 Al Jazeera

338 657

🌧📉 RAIN slides −14% in 24h 💧 Top-30 token Rain (#22 by market cap) is down to ~$0.0074, from a 24h high near $0.0086 📊 The whole drop has come over the last day, wiping out its weekly gains (−14% on 7 days) 🧊 Meanwhile BTC holds ~$80.2k and ETH ~$2,325 — flat, calm market ⚠️ Volatile alt, trade carefully! #RAIN #crypto

338 657

🌍 OpenAI drops GPT-6.1 Terra: half the price, smarter than before 💸 API price is cut in half: $1 per million input tokens and $5 output, vs $2/$12 for GPT-5.6 Terra 🎯 It goes straight at Anthropic's Claude Sonnet 5.5 ($2/$10) at half the cost 🖱️ Built for everyday work and computer control: forms, proposals, technical drawings 📊 Artificial Analysis calls it a new benchmark for intelligence per dollar 👨‍💻 Coding jump: Terminal-Bench 4.0 score went from 21.5% to 50.3% 🧠 Fewer hallucinations: it guesses only 38% of the time when unsure, down from 88% ⚡ OpenAI says it is over 3x faster than GPT-6 Astra and GPT-6.1 Sol 🚀 Available now in ChatGPT (Plus, Pro, Enterprise, Edu), Codex and the API 📰 The Decoder

338 657

✈️ Telegram is getting mini-app widgets right inside messages 🧩 New message widgets are spotted in most beta clients: iOS, macOS and Android 🔒 Each widget runs isolated in a sandbox to keep your data safe 📳 Widgets can trigger haptic vibration 💾 They get a small local storage with auto-cleanup 📴 A received widget works even offline, so you can play games with no network 🎲 Built-in random number generator, perfect for game levels 🚀 Chats are turning into tiny interactive apps! 📰 Source: gramnews

338 657

🤖 Nvidia open-sources Flora: robot video labeling for 72 cents an hour 🎥 Robot AI learns from video, and every clip needs text labels: what happens, how well the robot did, and whether the task succeeded 🧩 Nvidia's new open data engine Flora handles all three, using three fine-tuned Qwen3.5 models (9B + two 27B) 💸 Nvidia estimates about $0.72 per hour of video, vs roughly $88.50 with GPT-6 Astra ⚡ It already labels up to 200,000 hours of video a day for Nvidia's GR00T robot models 🔍 Flora catches 53% of failed robot steps, while no rival tops 12% ⚠️ Catch: the costs are projections, and Astra still wins on some benchmarks 🤗 The models are free on Hugging Face 📰 The Decoder

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📈 Wall Street's fastest traders are now racing for AI compute ⚡ High-frequency trading giants like Jane Street and Hudson River Trading are spending billions on AI computing power, Bloomberg reports 🧠 Why: they lean more and more on machine learning to predict market moves 💸 One executive says compute spending is now 10–20x higher than before ChatGPT 🏗️ XTX Markets is building its own data center in Finland 🔥 Jane Street runs one in Texas with 4,000+ Nvidia GPUs, invested $1B in CoreWeave and committed $6B to its services 💰 Hudson River spends about $1B a year on AI and signed a multiyear CoreWeave deal 🔌 Jane Street also led a round for chip startup Etched and became the first customer for its AI chip ⚠️ The risks: rising costs and chips that age fast, but Optiver's CEO says doing nothing is more dangerous 🤔 🔗 Source: The Decoder