Lightricks introduced an AI video model that runs locally on consumer devices, a rarity in the industry. Built with Nvidia technology and showcased at CES 2026, the model can generate 20‑second clips at 50 frames per second, supports 4K resolution and native audio, and is released as an open‑weight model on HuggingFace. On‑device operation gives creators control over their data, faster generation times of 1‑2 minutes per prompt, and reduced reliance on cloud services, addressing privacy and efficiency concerns for both independent filmmakers and large studios. Leer más →

Researchers from Texas A&M, the University of Texas and Purdue University have introduced the “LLM brain rot hypothesis,” suggesting that continual pre‑training on low‑quality web text can cause lasting cognitive decline in large language models. Their pre‑print paper analyzes a HuggingFace dataset of 100 million tweets, separating “junk” tweets—identified by high engagement yet short length or superficial, click‑bait content—from higher‑quality samples. Early results show a 76 percent agreement between automated classifications and graduate‑student evaluations, highlighting the potential risks of indiscriminate data ingestion for AI systems. Leer más →

Switzerland has introduced an open‑source artificial intelligence model named Apertus, positioning it as an alternative to proprietary systems such as OpenAI’s ChatGPT and Anthropic’s Claude. The model’s code, training data, weights and development details are publicly available on HuggingFace. Designed to establish a new baseline for trustworthy, globally relevant AI, Apertus was trained on more than 1,800 languages and is offered in two configurations—one with eight billion parameters and another with seventy billion. The developers say the model aligns with European Union copyright rules and respects opt‑out requests from websites, avoiding any stealth‑crawling of data. Leer más →

Switzerland has introduced an open‑source artificial intelligence model named Apertus, positioning it as an alternative to proprietary systems such as OpenAI’s ChatGPT and Anthropic’s Claude. The model’s code, training data, weights and development details are publicly available on HuggingFace. Designed to establish a new baseline for trustworthy, globally relevant AI, Apertus was trained on more than 1,800 languages and is offered in two configurations—one with eight billion parameters and another with seventy billion. The developers say the model aligns with European Union copyright rules and respects opt‑out requests from websites, avoiding any stealth‑crawling of data. Leer más →

Switzerland has introduced an open‑source artificial intelligence model named Apertus, positioning it as an alternative to proprietary systems such as OpenAI’s ChatGPT and Anthropic’s Claude. The model’s code, training data, weights and development details are publicly available on HuggingFace. Designed to establish a new baseline for trustworthy, globally relevant AI, Apertus was trained on more than 1,800 languages and is offered in two configurations—one with eight billion parameters and another with seventy billion. The developers say the model aligns with European Union copyright rules and respects opt‑out requests from websites, avoiding any stealth‑crawling of data. Leer más →

Switzerland has introduced an open‑source artificial intelligence model named Apertus, positioning it as an alternative to proprietary systems such as OpenAI’s ChatGPT and Anthropic’s Claude. The model’s code, training data, weights and development details are publicly available on HuggingFace. Designed to establish a new baseline for trustworthy, globally relevant AI, Apertus was trained on more than 1,800 languages and is offered in two configurations—one with eight billion parameters and another with seventy billion. The developers say the model aligns with European Union copyright rules and respects opt‑out requests from websites, avoiding any stealth‑crawling of data. Leer más →

Switzerland has introduced an open‑source artificial intelligence model named Apertus, positioning it as an alternative to proprietary systems such as OpenAI’s ChatGPT and Anthropic’s Claude. The model’s code, training data, weights and development details are publicly available on HuggingFace. Designed to establish a new baseline for trustworthy, globally relevant AI, Apertus was trained on more than 1,800 languages and is offered in two configurations—one with eight billion parameters and another with seventy billion. The developers say the model aligns with European Union copyright rules and respects opt‑out requests from websites, avoiding any stealth‑crawling of data. Leer más →