Precios de generación de video con IA en 2026: Sora 2, Veo 3.1 y Kling por segundo
Sora 2 is the cheapest frontier option at $0.10 per second of 720p video — $0.05 on the batch tier. Sora 2 Pro runs $0.30 (720p) to $0.70 (1080p).
Nvidia destina el 88 % de su cartera a tres acciones de IA
According to The Motley Fool, 88% of Nvidia’s disclosed equity portfolio is concentrated in just three artificial intelligence companies — a signal of unusual conviction from the world’s leading AI chipmaker.
GPT-OSS de Ollama: Guía completa para ejecutar los modelos abiertos de OpenAI
TL;DRgpt-oss:20b runs in ~16GB memory (fits most gaming GPUs), gpt-oss:120b needs ~70GB (single 80GB GPU or split across consumer cards)Install with ollama pull gpt-oss:20b or ollama pull gpt-oss:120b, then run with ollama run gpt-oss:20bBoth variants use MXFP4 quantisation at 4.25 bits per parameter and support 128K context windowsReleased by OpenAI as open-weight models in partnership with Ollama, comparable to Llama 3.1 and Qwen 2.5 in quality OpenAI released gpt-oss as open-weight models in August 2025, distributed exclusively through Ollama.
Gemma en Ollama 4: Modelos Gemma actuales y cómo ejecutarlos
TL;DR:There is no Gemma 4 release as of August 2026.
Lanzamiento de DeepSeek Harness con licencia MIT: cada componente es un complemento
DeepSeek AI has released the DeepSeek Harness into developer preview, an MIT-licensed agent framework where every component is implemented as a plugin. The release expands DeepSeek’s open-source developer tooling beyond its language models.
Conjuntos de datos de Hugging Face: Referencia para desarrolladores
A Hugging Face dataset is a structured data collection hosted on the Hugging Face Hub, searchable at huggingface.co/datasets — over 300,000 public datasets as of 2026.Load any dataset in one line: from datasets import load_dataset; ds = load_dataset(‘stanfordnlp/imdb’)Each dataset ships with typed splits (train/validation/test), a features schema (text, image, audio, labels), and optional streaming for terabyte-scale files.Push your own data with ds.push_to_hub(‘your-username/your-dataset’) after running huggingface-cli login.A Hugging Face dataset is a versioned, structured data collection stored on the Hugging Face Hub and consumed through the datasets Python library.
La apuesta de 6.500 millones de dólares de OpenAI a Jony Ive revela quién posee la visión de OpenAI
OpenAI’s $6.5 billion collaboration with legendary designer Jony Ive signals a strategic pivot toward hardware and user experience, highlighting the irreplaceable value of human design judgment in the AI era.
Intel recauda 20 000 millones de dólares mientras NVIDIA posee 214 millones de acciones
TradingView reports Intel is raising approximately $20 billion in capital as Nvidia holds around 214.8 million shares — two headline figures reshaping how investors and AI hardware practitioners read the semiconductor landscape in mid-2026.
Hugging Face DeepSite: Generador de aplicaciones web de un solo archivo impulsado por IA
DeepSite is a free Hugging Face Space athuggingface.co/spaces/enricoros/deepsite that turns a text prompt into a complete, self-contained HTML web app.No installation, no account required to try — open the URL, describe your app, click Generate, get a live preview and a downloadable .html file.The output is a single file with inline CSS and JavaScript; host it on Hugging Face Spaces, GitHub Pages, Netlify, or any static server.Duplicate the Space and add your own Hugging Face API token to avoid queue times and pick your preferred model.Hugging Face DeepSite is an open-source, browser-based web app generator.
Ollama no utiliza la GPU: diagnóstico y solución del uso forzado de la CPU
Run ollama ps while a model is loaded — the PROCESSOR column tells you whether Ollama is using GPU or CPU.The most common fix on NVIDIA is installing or updating the host driver so nvidia-smi sees the card, then restarting the Ollama service.If the model is larger than your VRAM, Ollama offloads layers to CPU — use the VRAM calculator to check whether your model fits before downloading it.AMD, Docker, and WSL2 each require platform-specific steps covered below.
El rival de Alexa de OpenAI y el iPhone Ultra encienden el debate sobre los créditos de la API de OpenAI
Three converging stories — Apple’s rumoured iPhone Ultra, OpenAI’s reported smart-speaker device, and the escalating scrutiny of OpenAI API credits — landed on a single AppleInsider Podcast episode, reflecting how tightly hardware ambition and AI economics have become intertwined in 2026.
llamafile: Ejecuta cualquier modelo de lenguaje (LLM) como un único ejecutable portátil
llamafile packages a GGUF model and the llama.cpp inference engine into one executable file that runs on Linux, macOS, Windows, FreeBSD, and more — no installation needed.Run ./model.llamafile and a browser chat UI opens automatically; an OpenAI-compatible API is served at http://localhost:8080/v1.Files over 4 GB cannot run directly on Windows — use a smaller quantization or run the runtime and GGUF separately.Best for air-gapped machines, USB deployment, and one-file sharing.
