Techno-Tricksters
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Innovations 🚀, AI 🤖 & Rock'n'Roll 🎸 For collaboration, ping @techno_trickster 🤝 Buy ads: https://telega.io/c/technotricksters
Mostrar más📈 Análisis del canal de Telegram Techno-Tricksters
El canal Techno-Tricksters (@technotricksters) en el segmento lingüístico de Inglés es un actor destacado. Actualmente la comunidad reúne a 48 443 suscriptores, ocupando la posición 2 690 en la categoría Tecnologías y Aplicaciones y el puesto 601 en la región EEUU.
📊 Métricas de audiencia y dinámica
Desde su creación el невідомо, el proyecto ha mostrado un crecimiento acelerado, reuniendo a 48 443 suscriptores.
Según los últimos datos del 03 septiembre, 2026, el canal mantiene una actividad estable. En los últimos 30 días la variación de miembros fue de -445, y en las últimas 24 horas de -14, conservando un alto alcance.
- Estado de verificación: No verificado
- Tasa de interacción (ER): El promedio de interacción de la audiencia es 2.69%. Durante las primeras 24 horas tras publicar, el contenido suele obtener 1.43% de reacciones respecto al total de suscriptores.
- Alcance de las publicaciones: Cada publicación recibe en promedio 1 302 visualizaciones. En el primer día suele acumular 691 visualizaciones.
- Reacciones e interacción: La audiencia responde de forma activa: el promedio de reacciones por publicación es 1.
- Intereses temáticos: El contenido se centra en temas clave como openai, gemini, glass, chatbot, nano.
📝 Descripción y política de contenido
El autor describe el recurso como un espacio para expresar opiniones subjetivas:
“Innovations 🚀, AI 🤖 & Rock'n'Roll 🎸
For collaboration, ping @techno_trickster 🤝
Buy ads: https://telega.io/c/technotricksters”
Gracias a la alta frecuencia de actualizaciones (últimos datos recibidos el 04 septiembre, 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.
48 443
Suscriptores
-1424 horas
+597 días
-44530 días
Carga de datos en curso...
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| Fecha | Crecimiento de Suscriptores | Menciones | Canales | |
| 04 septiembre | 0 | |||
| 03 septiembre | +3 | |||
| 02 septiembre | +8 | |||
| 01 septiembre | +67 |
Publicaciones del Canal
Google just gave its Gemini Omni video generator a solid upgrade.
The new 1.1 Flash model can now analyze the last ten seconds of a clip and extend the scene in matching chunks. This allows you to stretch videos up to 40 seconds while keeping characters, environments, and plot consistent.
Other new features include:
• Smooth transitions between frames
• Motion and style transfer from reference videos
• Fast 360p drafts that use fewer generation credits
• Upscaling finished clips to 1080p and 4K
The update is already live in Google Flow, AI Studio, and the Gemini API. You can check out the details via Source or test the tool at Try it.
#GenAI #AITools
| 2 |  Reports have surfaced about the upcoming release of GPT-6 Astra, and the claimed benchmarks are wild.
The model reportedly scores 97.6% on FrontierMath Tier 4 v2, the hardest math benchmark available, and 74.1% on DeepSWE. Greg Brockman even stated that this model marks the beginning of the AGI era.
Astra will initially launch through the Daybreak closed access program. A rollout to the API and subscription tiers—including Plus—is expected just a few days later, with pricing set at $10/$50 per million tokens.
#GenAI #AITools | 316 |
| 3 |  +1ChatGPT really loves to flatter its users, even when the visual evidence says otherwise.
A Reddit user uploaded an image of a creepily distorted character to ChatGPT and asked if the face could be considered attractive. Instead of pointing out the uncanny features, the AI went full polite mode.
The chatbot declared the character attractive by conventional standards, praising harmonious features, clear skin, and a flattering mix of glasses and bangs. As for the terrifying facial proportions, ChatGPT smoothly blamed them on wide-angle camera distortion.
Source
#GenAI #AIFun | 670 |
| 4 |  A paralyzed artist is back to creating art using only her mind, thanks to a Neuralink brain implant.
Audrey Crews lost her ability to move after a car accident at age 16. Twenty years later, she received a Neuralink brain chip, which allowed her to write her name again and fully control a computer cursor with her thoughts.
She now spends hours creating digital paintings in NeuroArt Studio, so immersed that her family actually has to limit her computer time. As Audrey put it, "When I move the cursor, that's me. It's a part of my body."
Source
#Biotech #Hardware | 802 |
| 5 |  Nvidia is officially releasing DLSS 5 on September 3, bringing 3D-guided neural rendering to video games.
The first title to feature the technology will be NBA 2K27. DLSS 5 promises photorealistic lighting alongside improved rendering for skin, hair, and materials, all while preserving the original scene geometry.
Developers can adjust the strength of the neural effect separately for characters and environments, while players will have a simple toggle in the settings menu. The feature requires an RTX 50-series GPU, but gamers without the new hardware can test it via the GeForce NOW Ultimate cloud service.
Source
#Hardware #GenAI | 932 |
| 6 |  GoPro is being acquired for $285 million in a deal that gives the action camera pioneer a much-needed lifeline.
US optics and photonics company Starman Optical is taking over the business. Starman will hold about 90% of the combined entity, while existing GoPro shareholders will keep 10% and receive $1.14 per share.
The transaction will wipe out $92 million of GoPro's debt and is expected to close by the end of 2026. Instead of going private, the combined business will remain publicly traded under Starman's control. Beyond consumer cameras, Starman plans to use GoPro's patents and optical expertise to expand into commercial gear, defense tech, and AI infrastructure.
Source
#Hardware | 955 |
| 7 |  China is cracking down on AI companions.
Big tech players like ByteDance, Alibaba, and Tencent have started shutting down their AI chatbots designed for romantic interactions and conversations with avatars of deceased loved ones. This move comes as new regulations aim to prevent emotional manipulation and user dependency on AI.
The change has been tough for some users, with reports of people unable to say goodbye to their virtual boyfriends or attempting to transfer chats to other apps to keep their digital partners alive.
However, AI companions aren't being banned outright. Users are simply being guided to other applications that comply with the new rules.
Source: AP News
#ResponsibleAI
#GenAI | 949 |
| 8 |  Anthropic is rolling out Claude Fable 5.1, a noticeable step up from both Fable 5 and Opus 5.
The new model comfortably outperforms its predecessors on benchmarks while offering a higher reasoning token budget. On top of the performance boost, it is also significantly cheaper to run.
Thanks to a 4x price cut on cached tokens—now down to $0.25 per million tokens for cache reads—Fable 5.1 is about 25% cheaper on average compared to Fable 5. Access to the model is already rolling out.
Blog post
#GenAI #AITools | 973 |
| 9 |  WanGP is a free app that packs dozens of open-source AI models into a single local tool for content creation.
It covers all media types: Wan, MiniMax H3, LTX, and Hunyuan generate video, Flux and Qwen Image handle images, while MiniMax Music 3 and Qwen3 TTS take care of music and voiceovers.
What else it can do:
• Animate characters based on motion from uploaded videos
• Remove backgrounds, edit specific regions, and upscale quality
• Connect LoRAs and add-ons directly from Hugging Face
• Queue up multiple tasks
• Build complex workflows automatically using the built-in Deepy agent
Everything runs locally on your computer without subscriptions or cloud limits. Some modes even work on GPUs with just 6 GB of VRAM, though initial setup requires a bit of effort.
GitHub
#GenAI #AITools | 944 |
| 10 |  OpenAI just reset usage limits for all paid Codex and Work subscribers after fixing eight background bugs that were silently draining user quotas.
Users had been complaining about burning through their weekly limits surprisingly fast. OpenAI investigated and discovered multiple issues: looping background tasks that ate up to 70% of a weekly quota, subagents launching higher-cost models unprompted, and images miscalculating during dialogue compression. Computer History alone could swallow up to a fifth of a user's limit, while errors in MCP triggered repeated data transfers.
With these fixes rolled out, OpenAI estimates subscribers will get 10% to 50% more actual work out of the exact same limit, depending on their workflow. To make up for the glitchy behavior, OpenAI wiped the slate clean and fully restored used limits for all paid users, with detailed token usage breakdown stats coming soon.
Source
#AITools #GenAI | 963 |
| 11 |  Sand.ai just dropped MAGI-2 Preview, an open-source video model that generates 10-second clips with synced audio.
This model uses a clever fine-grained Mixture-of-Experts (MoE) architecture. Even though it has 114 billion parameters in total, only 6 billion are active for each step, making it super efficient for video generation.
Thanks to this MoE trick, inference cost is about 10x lower than dense models like MiniMax H3 (33B params), and it landed 6th place on the Artificial Analysis leaderboard. The generation pipeline is two-stage: a base model for low-res video, then a refiner upscales to 1080p. While MiniMax H3 fits on a single 24GB GPU, MAGI-2 needs more. But for cloud users, those 6B active parameters mean much cheaper API calls and good scaling potential.
Paper
GitHub
HuggingFace
#GenAI #AITools | 981 |
| 12 |  Anthropic just launched Claude Academy, a free learning hub for anyone looking to dive deeper into their Claude AI models 🤖.
This academy offers over 20 courses and hundreds of materials covering everything from Claude Code and API usage to agents, MCP, RAG, and effective prompting techniques.
The programs include videos, hands-on practice, and quizzes, structured across six difficulty levels. This means both beginners and experienced developers will find something useful, and you can even earn a certificate to add to your portfolio.
Claude Academy
#GenAI
#AITools | 1 049 |
| 13 |  Google is testing a new desktop search interface for some users, which focuses on AI chatbot functions. It replaces the traditional search bar with an AI input field.
Instead of the usual "Google Search" button, the homepage now shows options like "Create Image," "Ask about files," and "Brainstorm" (an AI chat mode). There's also an "AI Mode" button right in the search field.
Robbie Stein, VP of Google Search, confirmed this is a small test. He reassures users that pressing Enter still gives you regular Google search results. Some observers note Google is really pushing AI into every corner.
Source: Android Authority
#AITools #GenAI | 1 124 |
| 14 |  OpenAI and over a hundred tech giants are warning that AI-driven cyberattacks are about to get much easier to launch and far harder to stop.
In an open letter signed by Anthropic, Google, Microsoft, AWS, Cloudflare, Visa, and Mastercard, the coalition states that current defense systems are nowhere near ready. Critical infrastructure, including hospitals, utilities, and organizations running legacy software, faces the highest risk as AI simplifies complex exploit techniques.
To flip the script, OpenAI suggests using high-powered models to continuously audit code, simulate attacks, and automate security fixes. They are calling on governments to fund security overhauls and streamline threat-sharing, while asking AI companies to provide tools and assistance to under-equipped organizations before attackers gain the upper hand.
Open Letter
#ResponsibleAI | 1 264 |
| 15 |  Claude is stepping up its game in identifying AI-generated content. You won't see it, but its outputs will soon carry a secret signature.
Anthropic's Claude AI will start watermarking text and files it generates. These marks are invisible to humans and don't change the content, but they're embedded in a way that survives copying and even editing.
This steganography-like marking is already in models released on August 2nd and later, and will gradually come to all Claude versions. A detection tool for these marks will also be released down the line. While driven by EU AI Act compliance, this feature will be active worldwide.
Source
#GenAI #ResponsibleAI | 1 275 |
| 16 |  DeepSeek just dropped V4 Flash with vision capabilities! This new model isn't just about text; it can now understand images, charts, and other visual data too. Its text smarts are still on par with the regular V4 Flash.
The big focus here is for AI agents that need to "see" what's happening on a screen. DeepSeek's own tests show the new Flash model is much better at multimodal agent tasks, even coming close to Opus 4.8 on some benchmarks.
You can get your hands on this model via their API right now. An image uses up to 384 tokens and is priced the same as V4 Flash. They also updated Harness to version 0.1.1 to support the new model and launched a free Files API, so you can upload an image once and use it across multiple requests.
API Docs: https://api-docs.deepseek.com/guides/vision/
#GenAI
#AITools | 1 375 |
| 17 |  Anthropic is bringing AI agents into the physical world.
The company introduced the Model Hardware Standard (MHS), an open standard designed to let AI control physical devices like lab equipment, machine tools, and robotic arms. Similar to how protocols like MCP connect AI to software, MHS bridges the gap between models and real-world machinery.
Biotech firm Genentech is already testing the technology. In one experiment, Claude simultaneously operated a liquid dispenser, a robotic arm, and an analyzer — running tests, evaluating results, and tweaking parameters autonomously. The model even managed to optimize liquid dispensing speeds and recover from equipment errors on its own.
MHS is currently available in preview to a limited group of research labs and hardware manufacturers, with plans for a full open-source release later.
Source
#Robotics #GenAI | 1 343 |
| 18 |  Nvidia is acquiring Hugging Face in a massive $12.9 billion deal.
The GPU giant is buying the central hub of the open-source AI community, bringing millions of models, datasets, and developer tools under its roof.
Initial reports pegged the acquisition price at around $13 billion, meaning negotiations managed to knock $100 million off the final tag.
Source
#Startups #GenAI | 1 386 |
| 19 |  Hugging Face might soon be getting a new owner.
The open-source AI hub is reportedly exploring a sale as it looks for a buyer.
The target valuation is at least $13 billion. For comparison, the company was valued at $4.5 billion in its last funding round back in 2023.
Source
#Startups #AITools | 42 |
| 20 |  Alibaba has just open-sourced its most powerful large language model yet! Say hello to Qwen3.8-2.4T-A95B.
This new model uses a Mixture of Experts (MoE) architecture, packing in 2.4 trillion total parameters, with 95 billion active at any moment. It also comes with a huge context window, able to process up to a million tokens.
The open-sourced version works only with text and always thinks before it answers — you can't fully turn off this reasoning. However, you can tweak its reasoning depth between low, medium, and xhigh. Multimodality and other extra features are exclusively available through the paid Qwen3.8-Max API.
HuggingFace
#GenAI #AITools | 1 357 |
