Vortex Next Gen Trends
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Mostrar más📈 Análisis del canal de Telegram Vortex Next Gen Trends
El canal Vortex Next Gen Trends (@vortexnextgen) en el segmento lingüístico de Inglés es un actor destacado. Actualmente la comunidad reúne a 52 438 suscriptores, ocupando la posición 2 473 en la categoría Tecnologías y Aplicaciones y el puesto 587 en la región Internacional.
📊 Métricas de audiencia y dinámica
Desde su creación el невідомо, el proyecto ha mostrado un crecimiento acelerado, reuniendo a 52 438 suscriptores.
Según los últimos datos del 05 octubre, 2026, el canal mantiene una actividad estable. En los últimos 30 días la variación de miembros fue de -2 219, y en las últimas 24 horas de -114, conservando un alto alcance.
- Estado de verificación: No verificado
- Tasa de interacción (ER): El promedio de interacción de la audiencia es 48.02%. Durante las primeras 24 horas tras publicar, el contenido suele obtener 45.69% de reacciones respecto al total de suscriptores.
- Alcance de las publicaciones: Cada publicación recibe en promedio 25 234 visualizaciones. En el primer día suele acumular 24 007 visualizaciones.
- Reacciones e interacción: La audiencia responde de forma activa: el promedio de reacciones por publicación es 933.
- Intereses temáticos: El contenido se centra en temas clave como generator, scene, nanabanana, reference, workflow.
📝 Descripción y política de contenido
El autor describe el recurso como un espacio para expresar opiniones subjetivas:
“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”
Gracias a la alta frecuencia de actualizaciones (últimos datos recibidos el 06 octubre, 2026), el canal mantiene la vigencia y un amplio alcance. La analítica demuestra que la audiencia interactúa activamente con el contenido, lo que lo convierte en un punto de referencia dentro de la categoría Tecnologías y Aplicaciones.
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Suscriptores
-11424 horas
-7407 días
-2 21930 días
Archivo de publicaciones
52 438
Google just casually dropped Nano Banana 2.1 in Google Flow 🍌
It’s fast, prompt following looks better, and text + capitalization are noticeably cleaner than Nano Banana 2 and Pro.
Some testers say it’s around 2x faster than GPT Image 2.5.
Overall, Nano Banana 2.1 feels like it’s all about speed — but I still think GPT Images delivers better quality.
52 438
LTX just dropped IC-LoRA Layout to Render for LTX-2.5 22B.
~1.31 GB, rank 128, trained to use a 3D viewport/playblast as a control signal.
Neural rendering in action — and open source.
Ready-to-use two-pass ComfyUI workflow:
LTX-2.5_ICLoRA_Layout_To_Render_Two_Stage_Distilled.json
First pass: 960×544, 8 steps.
Second: 1920×1088, 3 steps after 2× latent upscale.
Input: a Blender playblast + first frame in your target style. Best approach: run the first playblast frame through image-to-image first.
Requires distilled LTX-2.5 weights, Gemma 4 12B encoder, video/audio VAE and spatial upscaler.
They also have Alpha Gen, SDR→HDR, Native Resolution, Refine/Restore and Layout to Render — Lightricks is positioning LTX as an open-source post-production/VFX toolkit.
LoRA + workflow:
https://huggingface.co/Lightricks/LTX-2.5-22b-IC-LoRA-Layout-To-Render
Workflow:
https://huggingface.co/Lightricks/LTX-2.5-22b-IC-LoRA-Layout-To-Render/blob/main/LTX-2.5_ICLoRA_Layout_To_Render_Two_Stage_Distilled.json
52 438
Gemini 4 Argon... dead on arrival?
Google announced its new frontier model just DAYS ago, and almost nobody can even use it yet. Access is still limited to trusted cyber defenders.
And the hype cycle has already moved on.
GPT-6 Bel rumors are exploding.
Fable 5.5 leaks are everywhere.
Neither Bel nor Fable 5.5 is officially confirmed right now.
Argon didn't even get a full week in the spotlight.
AI model lifespans aren't months anymore.
They're DAYS.
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Black Forest Labs just dropped FLUX 3 Image.
Generation and editing are now combined in one model.
What’s new:
Bounding boxes for precise placement and local edits: move, delete, replace, or modify specific objects, faces, text, and elements.
Pixel-perfect editing aims to preserve the rest of the image, though shadows, reflections, and nearby lighting may still shift.
Native 4K rendering up to ~16 MP, versus ~4 MP in FLUX.2.
Up to 10 references, plus one endpoint for both generation and editing.
Grounding is enabled by default, so the model can use web/image search for current context.
Pricing:
768 × 768 — $0.041
1K — $0.048
2K — $0.100
4K — $0.607
There’s also a 1K promo price of $0.024.
Commercial Weights are already available for self-hosting and fine-tuning.
Open Weights are coming “in the next few weeks.” Model size, VRAM requirements, quantization options, and final licensing are still unknown.
Available via BFL Playground/API and OpenArt.
https://bfl.ai/models/flux-3-image
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+1
The comeback nobody expected.
Gemini 4 just dropped, and it’s absolutely cooking the competition on benchmarks.
Even I didn’t expect Google to come back THIS hard.
Forget the dragon memes. The real dragon just entered the arena.
Gemini 4 Argon is here.
Google’s new frontier model is built for complex coding, enterprise knowledge work, and cybersecurity workflows.
And this part is wild: up to a 1M token output limit.
Argon is rolling out first to trusted testers through Google’s Fairwind Program, with broader access for developers, enterprises, and consumers coming later.
Google is seriously back.
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Searching for a Suno alternative?
This Vortex walkthrough explores Mozart's music workflow through one original electronic track, from Hans V2 and Vibe to Layers, Studio and Personas. The focus is creative control and what happens after generation, without declaring a winner on sound quality.
https://youtu.be/MW5eGyZ1Xbg
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Kling 4.0 launches in October, while Kling 4.0 Flash is already available to Ultra Yearly subscribers.
Kling 4.0 brings:
up to 30 sec per generation;
up to 10 keyframes;
up to 15 multimodal references;
improved Omni Reference and video editing;
up to 4K;
10-bit HDR;
better stereo audio and lip sync;
video extension;
more languages, accents, and dialects.
It can edit characters, facial expressions, movement, objects, backgrounds, visual style, camera angles, and camera motion.
Edit mode supports one main video plus up to four video references.
Kling 4.0 Flash is a lighter, faster version already in early access.
There’s still no official 4.0 vs Flash comparison, but preliminary info suggests:
Kling 4.0
up to 30 sec;
up to 4K;
15 references;
10 keyframes;
maximum quality and control.
Kling 4.0 Flash
reportedly up to 20 sec;
reportedly 720p;
some advanced features may be limited.
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Runway has released a plugin for DaVinci Resolve, Adobe Premiere, and After Effects.
It lets you generate, extend, and upscale videos and images directly on the timeline. Video editing, including HDR upgrades, is also available and is powered by Aleph 2.
Available video models: Runway Gen-4.5, Veo 3.1, Seedance 2.5, and Kling 3.0 Pro.
For images: Gen-4 Image, Nano Banana, and GPT Image 2.
The plugin is available on Windows and macOS. For Linux, ask Claude.
52 438
Opus 5.5 vs GPT-6 Sol & Luna — same day!
Anthropic dropped Opus 5.5, while OpenAI released GPT-6 Sol and Luna.
Opus 5.5: $4 / $20, AA Index 58 (#1), Terminal-Bench 66.4%, GDPval-AA 1846 Elo. Anthropic also promises less “Claude-style” fluff.
Sol: $2 / $10, 1.05M context, AA 48. DeepSWE: 68.8% at $2.74/task.
Luna: $0.10 / $0.50, AA 37. DeepSWE: 66.6% at just $0.22/task — almost the same score as Sol for 12x less.
The catch with Opus: tokens are 20% cheaper, but usage is much higher — 119K tokens/task vs 73K for Opus 5 and 31K for Sol. CodeRabbit saw 40–60% more tokens on code reviews.
On AA, Opus 5.5 medium vs Sol max: coding 52.5% vs 43.9%, documents +159 Elo for Opus, business processes roughly tied. Cost: $1.34 vs $1.06/task.
Bottom line: Opus 5.5 is currently the smartest model and 2.5x cheaper than Fable. Luna is the big story for high-volume classification and extraction: 10x cheaper than Haiku. Sol is the mid-range option for mass workloads. Sonnet 5.5 reportedly arrives in a couple of weeks.
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+5🚨 Qwen-Image 2.1
Alibaba just dropped Qwen-Image 2.1 — a unified text-to-image + image editing model with only 7B parameters.
🔥 Native 2K
🔥 Up to 10 reference images
🔥 Better identity & consistency
🔥 Masks/scribbles for local editing
🔥 Native RGBA + transparency
🔥 ComfyUI support from day one
The really interesting part: RGBA editing and object extraction from regular RGB images. Need to test this one.
💾 VRAM-wise, 12 GB looks like a realistic target with quantization/offloading. 16 GB should be very comfortable.
The previous Qwen Image was ~20B. This one is just 7B.
Testing starts now. Drop your results in the comments.
🔗 https://modelscope.ai/models/Qwen/Qwen-Image-2.1/summary
52 438
Buttery-smooth 120 FPS Three.js arena action, running entirely in your browser. Meet Arena Shooter.
4.6 BILLION Astra tokens burned.
20+ vehicles to capture, zombies, day/night combat, 20+ upgrades & perks, and LLM bots trying to destroy you.
No signup. No install. Just open and fight.
Try https://vortex.channel/vr/soloplay/
52 438
Google just dropped Gemini 3.8 Live and Gemini 3.8 Live Extended Thinking.
Gemini 3.8 Live is fast voice-to-voice, understands video/images almost in real time, and automatically switches between 97 languages.
(Siri still has ONE.)
It can call tools and APIs in the background without interrupting the conversation.
Extended Thinking is the version for complex tasks: it can reason and speak simultaneously, handle multi-step processes, and verbally comment on its progress.
There’s a Gemini API and AI Studio.
Extended Thinking is also coming to Gemini Live, Docs, Gmail, and Keep.
API pricing is the same for 3.8 Live and Extended Thinking:
Input audio — $0.005/min
Output audio — $0.018/min
Video/image input — around $0.002/min
Text — $0.75 per 1M input tokens and $4.50 per 1M output tokens, including thinking tokens.
Google wants to turn Gemini Live from a “voice chat” into a full-fledged realtime agent that can see, think, talk, and do things in parallel through tools.
52 438
FLUX.3 Video Edit model
It can take an existing video and, based on a prompt, change objects, characters, backgrounds, materials, text, effects, and even events within the scene. You can also change dialogue and translate conversations with lip sync.
The biggest bombshell: $0.03 per second. Dirt cheap!
So:
5 sec — $0.15
10 sec — $0.30
15 sec — $0.45
But.
It currently works with clips up to 15 seconds, and input videos above 720p are downscaled before processing. No masks, additional references, or resolution selection yet.
In short:
max. 15 sec
max. 50 MiB
up to 720p in the edit pipeline
24 fps
no seed control
apparently no output resolution or duration control (need to dig into this)
no masks
no additional reference images
no video-only motion/style reference
not an extension model — continuing a clip requires FLUX 3 Video Continuation
You can run the result through FLUX Video Upscale separately, up to 4K — but that’s extra $$$.
52 438
New iPhone 18 Pro is finally here. Bigger battery, A20 Pro, vapor chamber, 48MP camera, and finally Siri might actually be GOOD.
That cherry color though… are you getting it?
52 438
Viggle is back with an open model — Viggle-Animate — and it’s pretty damn capable.
For the first time, they’re releasing weights + code.
It replaces characters in video using MiniMax H3. Take a video, grab one frame, manually redraw the character as anything you want, and the model propagates that replacement through the entire clip while preserving motion, camera, and timing.
No pose skeleton, segmentation, face tracking, depth, or text prompt. Just the video + one modified frame.
Under the hood: a 33.1B MiniMax H3 ref2va fine-tune + DMD2 LoRA. Distillation brings it down to 4 sampling steps.
It’s 6× faster than Wan2.2-Animate-14B.
The catch: hardware. BF16 needs ~62 GiB for the transformer and peaks at ~80.1 GiB VRAM. They recommend 96 GB+ or CPU offload. It reportedly runs on a 32 GB RTX 5090 via NVFP4, but that quant isn’t public yet.
Also, you can’t use a normal character portrait. The reference has to be a frame from the original video, already redrawn as the target character.
52 438
So, how are the modelers doing with the new horsepower?
Or rather, with the new Astra.
Blender MCP + Astra + a bit of Computer Use: feed it a sketch of a steam locomotive, and a few minutes later you get 3,295 objects.
I think that’s it… we’re done.
52 438
+1
GPT-6 Astra: messy rollout, resets, and Plus segregation
Three updates: one okay, one very good, one very bad.
OpenAI has revealed the limits. $200 Pro gets 200 Astra messages/week. The new $100 Pro gets 50/week, shared with GPT-5.6 Sol Pro. Business Standard gets 15/month, Premium 50/week. So Astra isn’t unlimited even on $200 Pro.
Good news: OpenAI says it will compensate rollout delays. For every day Astra is unavailable on a paid account, users get one banked reset to use later
Bad news for Plus: OpenAI’s latest help article says, “It is not included with ChatGPT Plus in Chat.” Astra appears in regular Chat as GPT-6 Pro only on Pro $100, Pro $200, Business, and Enterprise
Meanwhile, the launch page still says Astra is coming to Plus, Pro, Business, and Enterprise. Where Plus gets access is unclear. Maybe Work or Codex?? Current docs confirm Astra there only for Pro
So: Astra limits are known, but Plus users waiting for it in regular ChatGPT appear out of luck for now. Codex access for Plus is unclear too
52 438
🚨 OpenAI introduced GPT-6 Astra — and this feels like more than just another model upgrade.
Astra is built not only to answer questions, but to actually do work: coding, browsing, research, documents, and complex multi-step tasks.
Some standout numbers: 99.9% on ARC-AGI-3, 97.6% on FrontierMath Tier 4, 100% on ExploitBench, a 1.05M-token context window, and up to 128K output tokens.
It’s also OpenAI’s first model to reach Critical cyber capability, meaning it can potentially discover and exploit previously unknown vulnerabilities with the right tools.
The bigger story is the shift itself: AI is moving from “smart assistant” to something you can increasingly delegate entire workflows to.
52 438
Looks like OpenAI just raised the bar again. They introduced GPT-6 Astra — a model focused not just on “answering in chat,” but on actually getting work done: coding, browsing, using tools, and handling long multi-step tasks.
The craziest number is 99.9% on ARC-AGI-3 versus 7.8% for GPT-5.6 Sol. There is one important caveat though: Astra was tested with a newer agentic harness, so it’s not a perfectly clean model-to-model comparison.
Context window: up to 1.05M tokens. API model:
gpt-6-astra. Pricing: $10 per 1M input tokens and $50 per 1M output tokens.
Rollout starts with a limited number of organizations, then expands to Plus, Pro, Business, Enterprise, API, and AWS.
It really feels like the focus is shifting from “a smart chatbot” to AI you can simply give a task to and expect it to handle the work.52 438
THIS is WILD.
Not another candle, not another skincare bottle. I am building a full launch kit for a futuristic smart ring inside Lovart with Seedance 2.5.
Lovart is not just a video generator. It is an AI design agent, so I start with one brief: matte graphite smart ring, holographic charging case, neon blue interface, luxury tech launch, 30-second hero video, posters, and social ads.
Try Lovart here
Watch full video https://www.tiktok.com/@web3.world.yt/video/7680504360232701205
