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 62 776 suscriptores, ocupando la posición 2 064 en la categoría Tecnologías y Aplicaciones y el puesto 608 en la región Internacional.
📊 Métricas de audiencia y dinámica
Desde su creación el невідомо, el proyecto ha mostrado un crecimiento acelerado, reuniendo a 62 776 suscriptores.
Según los últimos datos del 08 julio, 2026, el canal mantiene una actividad estable. En los últimos 30 días la variación de miembros fue de 11 473, y en las últimas 24 horas de 43 858, conservando un alto alcance.
- Estado de verificación: No verificado
- Tasa de interacción (ER): El promedio de interacción de la audiencia es 31.48%. Durante las primeras 24 horas tras publicar, el contenido suele obtener 25.39% de reacciones respecto al total de suscriptores.
- Alcance de las publicaciones: Cada publicación recibe en promedio 20 011 visualizaciones. En el primer día suele acumular 16 140 visualizaciones.
- Reacciones e interacción: La audiencia responde de forma activa: el promedio de reacciones por publicación es 618.
- 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 09 julio, 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.
62 776
Suscriptores
+43 85824 horas
+43 4337 días
+11 47330 días
Archivo de publicaciones
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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.
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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.
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Humanoid Gait Comparison:
→ XPENG IRON
→ Tesla Optimus
→ BostonDynamics Atlas
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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.
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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
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Yale and GoogleDeepMind introduced C2S‑Scale a family open-source LLMs trained to “read” and “write” biological data at the single-cell level.
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🚀 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.
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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.
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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.
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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.
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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).
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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.
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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.
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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'.
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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.
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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.
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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.
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+1
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.
