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📈 Аналитический обзор Telegram-канала Vortex Next Gen Trends

Канал Vortex Next Gen Trends (@vortexnextgen) языкового сегмента Английский является активным участником. Сейчас сообщество объединяет 62 776 подписчиков, занимая 2 064 место в категории Технологии и приложения и 608 место в регионе Международный.

📊 Показатели аудитории и динамика

С момента создания невідомо проект демонстрирует стремительный рост, собрав аудиторию из 62 776 подписчиков.

Согласно последним данным от 08 июля, 2026, канал показывает стабильную активность. За последние 30 дней изменение числа участников составило 11 473, а за последние 24 часа — 43 858, при этом общий охват остаётся высоким.

Статус верификации: Не верифицирован
Уровень вовлечённости (ER): Средний показатель вовлечённости аудитории составляет 31.48%. В первые 24 часа после публикации контент обычно набирает 25.39% реакций от общего числа подписчиков.
Охват публикаций: В среднем каждый пост получает 20 011 просмотров. В течение первых суток публикация набирает 16 140 просмотров.
Реакции и взаимодействия: Аудитория активно поддерживает контент: среднее количество реакций на один пост — 618.
Тематические интересы: Контент сосредоточен на ключевых темах, таких как generator, scene, nanabanana, reference, workflow.

📝 Описание и контентная политика

Автор описывает ресурс как площадку для выражения субъективного мнения:
“Vortex Channel is a part of BlockChainWorld 5,000.000 MASSIVE AI & Crypto COMMUNITY 💎 ALL ABOUT CRYPTO, TOKENS, AI, TAP GAMES, MEME COINS, PLAY AND EARN, DEFI, P2E, NFT, AI TOOLS, WEB3 & BITCOIN FORECASTS! Order promo 👉 PR@blockchainworld.ai”

Благодаря высокой частоте обновлений (последние данные получены 09 июля, 2026) канал поддерживает актуальность и высокий уровень охвата публикаций. Аналитика показывает, что аудитория активно взаимодействует с контентом, что делает его важной точкой влияния в категории Технологии и приложения.

62 776

Подписчики

+43 85824 часа

+43 4337 дней

+11 47330 день

20 011

Просмотры поста

~ 16 14024 часа

~ 21 96048 часов

31.48%

Коэффициент вовлеченности

Нет данных

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62 469

OpenAI is introducing shopping features in ChatGPT today, powered by GPT-4o, for ChatGPT Pro, Plus, and Free users, as well as logged-out users worldwide.

62 469

Tesla has updated its app to include a ridesharing feature 🕑 This is likely a test feature that is part of the preparatory work for the launch of Robotaxi.

62 469

Humanoid Gait Comparison: → XPENG IRON → Tesla Optimus → BostonDynamics Atlas

62 469

OpenAI now projects $125B in revenue in 2029, with $25B of that from new products not yet announced The Information reports OpenAI forecasts revenue reaching $125 billion in 2029 and $174 billion in 2030, mainly from AI agents, subscriptions, monetizing free users, and potentially affiliate fees. According to internal documents seen by The Information, OpenAI expects revenue in 2029 to include $29 billion from AI agents, $50 billion from ChatGPT subscriptions, $22 billion from API access, and $25 billion from monetizing free users and other new, unspecified products. CEO Sam Altman mentioned recently affiliate fees or taking a percentage of sales generated through user searches as possible revenue sources, while CFO Sarah Friar told the Financial Times there are “no active plans” for selling traditional advertising. If they hit it, the current valuation ($300B) will be a steal; Google does ~$400B in revenue and is worth $2T.

62 469

Nvidia presents Eagle 2.5 - A family of frontier VLMs for long-context multimodal learning - Eagle 2.5-8B matches the results of GPT-4o and Qwen2.5-VL-72B on long-video understanding. Paper.

62 469

Google dropped Gemini 2.5 Flash, a reasoning model matching o4-mini in preview It's 'thinking budget' (up 24k tokens), can balance between answer quality, cost, and speed The model performs particularly well on reasoning, STEM, and visual reasoning

62 469

Yale and GoogleDeepMind introduced C2S‑Scale a family open-source LLMs trained to “read” and “write” biological data at the single-cell level.

62 469

🚀 Top 100 AI apps 2025: trends and insights! 🔥 ChatGPT is still the king: from 100 million to 400 million active users in a year! 🌟 DeepSeek is tearing up the market: 10 million users in 20 days, #2 in the world! 🎥 AI video is on the rise: Hailuo and Kling have surpassed Sora in visits. 💻 For developers: Cursor and Bolt (2 million users in 2 months) are heating up. 💡 Interesting: popularity ≠ profit. Apps for plants (PictureThis), nutrition (Cal AI) and languages (Loora) bring in millions, even without the top audience. 🧠 My opinion: the AI market is a field of opportunities! Newcomers like DeepSeek and niche products prove that there is a place for everyone.

62 469

Firecrawl just launched FIRE-1, a new agent-powered web-scraper. It navigates complex websites, interacts with dynamic content, and fills forms to scrape the data you need.

62 469

OpenAI released o3/o4-mini. The eval numbers are SOTA (2700 Elo is among the top 200 competition coders) OpenAI’s team expect o3/o4-mini will aid scientists in their research. And the secret trick is to talk to the models in images.

62 469

Veo 2, Google’s SOTA video model, is rolling out to Gemini Advanced + Whisk You can create 8s, high-res videos from text prompts fluid character movement + lifelike scenes across a range of styles. Tip: the more detailed your description, the better. Plus, you can try Veo 2 using Whisk from Google labs. Just input images, blend them together, and – now – “animate” to bring your creation to life. Available for all Google One AI Premium subscribers today.

62 469

Google finally made the best model - not just in benchmarks but real use.

62 469

OpenAI has rolled out a significant enhancement to ChatGPT's memory capabilities. The AI can now reference your entire chat history to deliver more personalized responses based on your preferences and interests. Unlike before, where ChatGPT only used specifically saved memories, it can now automatically analyze patterns across all your past conversations to provide more relevant assistance for writing, advice, learning, and more. Memory isn't just another product feature. It signals a shift from episodic interactions (think a call center) to evolving ones (more like a colleague or friend). Users maintain full control - you can opt out of this feature in settings or use temporary chats for private conversations. Currently available to Plus and Pro users (except in certain European regions).

62 469

Anthropic published a new quickstart - a minimal implementation of an LLM agent with MCP tools, loops, context management. Very helpful if you're trying to learn what an agent actually looks like in code.

62 469

OKX has partnered with Standard Chartered to launch a world-leading collateral mirroring program. Teaming up with Brevan Howard and Franklin Templeton, this initiative lets institutional clients use crypto and tokenized money market funds as secure off-exchange collateral. Backed by a top-tier G-SIB custodian and regulated under Dubai’s VARA framework, it’s a game-changer for safety and capital efficiency in digital asset trading.

62 469

Google announced their new TPU 'Ironwood'. Each individual chip has a peak compute of 4,614 TFLOPs. Google is calling it 'a monumental leap in AI capability'.

62 469

Test-Time Training (TTT) is now on Video and not just a 5-second video. U can generate a full 1-min video! TTT module is an RNN module that provides an explicit and efficient memory mechanism. It models the hidden state of an RNN with a machine learning model, which is updated via gradient descent.

62 469

NotebookLM is a site for creating the perfect resume Simply upload your resume and any potential job descriptions. NotebookLM can highlight your previous skills and experience that best fit the job and prepare you for potential interview questions.

62 469

Meta rolled out the ChatGPT killer — Llama 4 with 10 MILLION tokens of context

The new Llama 4 line is not an update, it is a total unwinding of competitors. The model can process entire volumes, holds up to 10 million tokens in memory and already at the start impresses with numbers.

— Llama 4 Scout is basic, but has 80 times more context than Llama 3. Destroyed Gemini 2.0 and Gemma 3 in benchmarks.

— Llama 4 Maverick is a neural network for coders. In terms of speed and quality, it bypasses DeepSeek v3.1 and even GPT-4o.

— Llama 4 Behemoth is a monster with 2 trillion parameters. This is 10 times more than any OpenAI model. It hasn't been released into the public domain yet, but inside Meta they're already calling it the uncompromising market dominator.

62 469

New DeepSeek Paper+Model DeepSeek-GRM models automatically generate judging principles and critiques without needing a human in the loop to achieve better reward scaling with inference-time compute. Open-source model coming. They're worried automated principles/critiques might amplify biases from toxic training data without a human in the loop.