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Больше📈 Аналитический обзор Telegram-канала Vortex Next Gen Trends
Канал Vortex Next Gen Trends (@vortexnextgen) языкового сегмента Английский является активным участником. Сейчас сообщество объединяет 19 904 подписчиков, занимая 6 433 место в категории Технологии и приложения и 999 место в регионе Международный.
📊 Показатели аудитории и динамика
С момента создания невідомо проект демонстрирует стремительный рост, собрав аудиторию из 19 904 подписчиков.
Согласно последним данным от 06 июля, 2026, канал показывает стабильную активность. За последние 30 дней изменение числа участников составило -34 616, а за последние 24 часа — -1 030, при этом общий охват остаётся высоким.
- Статус верификации: Не верифицирован
- Уровень вовлечённости (ER): Средний показатель вовлечённости аудитории составляет 144.87%. В первые 24 часа после публикации контент обычно набирает 68.09% реакций от общего числа подписчиков.
- Охват публикаций: В среднем каждый пост получает 30 013 просмотров. В течение первых суток публикация набирает 14 107 просмотров.
- Реакции и взаимодействия: Аудитория активно поддерживает контент: среднее количество реакций на один пост — 906.
- 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 07 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.
19 904
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-1 03024 часа
+3777 дней
-34 61630 день
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| Дата | Привлечение подписчиков | Упоминания | Каналы | |
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Посты канала
Vidu S1
Vidu, which many had almost forgotten about, has rolled out its answer to Runway Characters.
Real-time video generation in 540p at 25 FPS.
Avatars, lip sync, and two-way real-time communication:
https://www.vidu.com/ru/vidu-stream
“After logging in and verifying your account, you can upload your photo, choose a voice or record your own, and create a personal digital human to communicate with.”
There’s also an API.
| 2 |  Seedance 2.5 is about to go crazy.
We are talking about native 30-second AI videos, 4K output, up to 50 references, native audio sync, region-level editing, better prompt accuracy, and no stitching needed.
And some beta users are already revealing insane 180-second outputs.
Early results look crazy. Just look at these examples. This is wild. Hollywood is in trouble again.
What do you think, will Hollywood try to ban it again, or will these platforms solve the copyright issues right from the start?
I honestly can’t wait to try it.
Seedance 2.5 is coming soon to major platforms like Dreamina @dreamina_ai , @capcutapp , and @openart_ai . | 19 999 |
| 3 |  ⚡ Breaking: Nano Banana 2 Lite
And by “flash,” I mean lightning-fast: just 4 seconds to generate an image.
https://deepmind.google/models/gemini-image/flash-lite/
Nano Banana 2 Lite is available in Google AI Studio, the Gemini API, and the Gemini Enterprise Agent Platform. | 23 225 |
| 4 |  Comfy MCP
Comfy Org has launched the beta version of its MCP server for ComfyUI.
MCP allows AI agents to interact with and manage ComfyUI more easily:
• Run workflows using natural-language descriptions
• Search for models, nodes, and templates across the ecosystem
• Import workflows directly from a URL
• Rerun saved workflows with new inputs
• Access hundreds of ready-made workflows with automatic updates
Documentation
They are also launching the beta version of Comfy CLI and the Comfy Skill repository for AI agents. | 23 418 |
| 5 |  Вот перевод:
🤖 AI company Anthropic is expanding its presence in Europe
Anthropic, the company behind the Claude AI assistant, has hired the head of artificial intelligence from the French telecom company Orange. This move is part of Anthropic’s major expansion into the European market.
It seems that competition between leading AI companies is no longer just about building the best models — it is also about attracting the world’s top experts. | 22 348 |
| 6 |  Seedance 2.5
ByteDance announced the new version at Volcano Engine FORCE 2026.
The interesting part: native 30-second video generation in a single run. Previous public versions were limited to 15 seconds, so this is a major jump.
Another big upgrade: up to 50 multimodal references — images, videos, and audio — to control style, characters, motion, and editing.
Seedance 2.0 also received an upgrade and now supports native 4K video generation.
The model is currently in enterprise beta and is expected to launch publicly in early July. | 20 908 |
| 7 |  Who will win the World Cup before it happens?
Soccer Buddy uses AI-style prediction logic, 80+ match parameters, 10,000 simulations, and deep pro stats to find stronger football angles before kickoff.
xG, BTTS, overs, corners, cards, shots, possession, home and away splits.
AI + stats = smarter soccer predictions.
https://zcodesystem.com/soccerbuddy/?WC2026 | 21 113 |
| 8 |  Grok Imagine Video 1.5
It’s out of Preview.
The interesting part: 720p, 15 seconds — but the SuperGrok subscription page says “30-second videos.”
That’s a marketing trick. The API clearly says 15 seconds. The “30 seconds” refers to the Extend from Frame feature, which is available there.
There’s also Grok Imagine Video 1.5 Fast — it generates 720p videos in 25 seconds.
https://x.ai/news/grok-imagine-video-1-5 | 12 199 |
| 9 |  +2Reverse Ideogram 4
Interesting tool: you give it any image as input, and it outputs a JSON prompt for Ideogram 4, complete with bounding boxes and labels for them.
You can edit specific parts of images locally.
There’s code here:
https://github.com/cocktailpeanut/image-to-prompt
Under the hood, it uses Microsoft’s Florence-2 model for image recognition.
And if you don’t want to mess with running it locally, there’s a Space where you can try it online:
https://huggingface.co/spaces/cocktailpeanut/image-to-prompt | 45 260 |
| 10 |  AI video is getting wild.
On June 15, Dreamina is releasing Seedance 2.0 Mini, and this is huge:
Same performance level as Seedance 2.0, but much cheaper.
That means creators can generate more AI drama shots, test more ideas, and build cinematic videos without burning insane credits.
AI video is not slowing down. | 26 269 |
| 11 |  Krea 2: Procedural Images
Krea now has real-time sliders: intensity, complexity, and movement.
Basically: prompt intensity, noise/details, and object movement within the frame.
This definitely makes the generation process more interactive and speeds up image selection.
It also reminds me of procedural textures. If you’ve worked with them, you’ll remember all those endless knobs for tweaking patterns, noise, and textures.
If you haven’t, think of the effect preview in Photoshop: you see the result immediately.
I wonder how many more sliders they could add: color grading, 3D depth, typography, layer separation, background…
The idea is to give regular users as many clear and understandable controls as possible — instead of all that CFG Scale, Sampling Method, and so on — and keep them inside the generation interface. | 20 419 |
| 12 |  Are Game devs in trouble?
Fable 5 is the biggest step up I've felt in our models since Opus 4.5 back in November.
We just one shot GTA 6 and it works. No miskates.
One prompt. 15 minutes. The whole game.
Rockstar took 12 years. Fable took a quarter of an hour.
Mythos was deemed too dangerous to release, this is the nerfed version. And it still does THIS.
Game devs, are we in trouble? | 26 247 |
| 13 |  Claude Fable 5 might drop today.
Leaks claim Anthropic is preparing to release Mythos publicly under the name Claude Fable 5, but nothing is official yet. | 21 302 |
| 14 |  3D generators are coming for the sacred territory — organic modeling, specifically head modeling.
This is Rodin 2.5. They offer 12K textures and generation at 10 million polygons.
The input is several head images from different angles — either generated images or photos.
https://hyper3d.ai/ | 24 543 |
| 15 |  Ideogram 4 has gone open source!
According to current benchmarks and arena rankings, it's one of the strongest open-source image generators available.
"Ideogram 4 is Ideogram's first open-weights model, trained from scratch. It features a structured JSON prompt format, best-in-class multilingual text rendering, deep language understanding, color palette control, and native 2K generation with aspect ratios up to 6:1."
With just 9.3B parameters, it should run on modest GPUs (Qwen-Image: 20B, FLUX.2 [dev]: 32B).
For the geeks:
• Flow-matching text-to-image model built on a fully single-stream DiT architecture.
• Text and image tokens are processed together by the same 34-layer transformer.
• Uses Qwen3-VL-8B-Instruct, providing richer visual understanding than CLIP or T5.
Trained on JSON annotations and includes a prompt enhancer and guide.
Some content moderation is built in (Hive AI). The license is non-commercial.
GitHub repo (weights, code, docs, guides):
https://github.com/ideogram-oss/ideogram4 | 16 027 |
| 16 |  +2Gemini Omni vs Grok vs Seedance
Omni is the one with 10 seconds.
And you’ll recognize Seedance by the dynamics and the edit cut at the very end. | 31 073 |
| 17 |  A metaverse worth having.
At Google I/O, they combined Street View data from Google Maps (collected over the last 20 years, mind you) with Project Genie.
Now, in this world-generation system, you can specify any point on the map and use a prompt to describe how the real world should be transformed. In the example above, a flooded bridge in San Francisco becomes part of an underwater world.
In other words, you can create virtually any "skin" for any real-world location — and not just in 2D, but in full 3D.
Instead of location scouts, we'll soon have location prompters.
Now that's the kind of metaverse we need.
For now, it only works with locations in the US. | 14 578 |
| 18 |  A short prompt guide for Gemini Omni from Google:
Use real-world knowledge. Gemini Omni understands history, science, and culture, so you don’t need to over-explain. Use cultural references, eras, or scientific terms directly.
Control text rendering. Specify typography, placement, animation style, and visual effects like double exposure, synced with the video action.
Direct the camera. Think like a cinematographer: describe camera type, framing, movement, and shot style.
Edit precisely. Ask for targeted changes, such as replacing a background or caption, without rewriting the whole prompt. Omni can preserve the video structure while adjusting movement, emotion, or object interaction. | 16 177 |
| 19 |  Gemini Omni: translation, lip-syncing, and dubbing with accurate lip matching.
Omni can translate audio even if the prompt doesn’t include either the original or the translated text:
• matches lip movements for the new language
• keeps the background music unchanged
• adjusts the video length when necessary (!)
For example, the Japanese and Spanish phrases during the close-up shot with the cream are longer, so Omni simply extends the clip by a couple of seconds on its own. | 21 302 |
| 20 |  Wow, now this is interesting!
CapCut is partnering with Google.
Soon, users will be able to edit images and videos directly inside the Gemini app using CapCut’s editing tools.
In other words, Gemini is basically getting a full editing timeline.
What’s especially interesting is that the announcement says nothing about Flow. Google, of course, loves building overlapping ecosystems and products...
It’s also notable that Google still seems committed to the traditional content workflow, where editing remains a core step.
Meanwhile, Higgsfield is betting on an agentic approach — editing happens during generation itself, with AI deciding how the final clip should be assembled.
A very interesting move, especially since Dreamina and CapCut already support Seedance, Nanobanana, and other models. With the Gemini Omni API arriving, Google’s own models will likely appear there too. | 19 745 |
