On a recent earnings call, Pinterest chief executive Bill Ready explained how the company is turning to open‑source artificial‑intelligence models to slash costs while preserving performance across its visual‑AI features, including personalized recommendations, multimodal search, ad targeting and the new AI‑powered Pinterest Assistant. Ready said tests show open‑source models delivering comparable results at a fraction of the price of proprietary alternatives, offering what he described as orders‑of‑magnitude cost reductions. The company plans to expand the use of these models, while also exploring agentic commerce options and AI‑curated boards. The announcement came as Pinterest’s stock fell more than 21% after a revenue forecast miss. Read more →

A recent study measuring the power usage of open‑source generative AI video tools found that creating a single AI‑generated video consumes roughly 90 watt‑hours of electricity—far more than image or text generation. The research, conducted on an Nvidia H100 GPU, showed video diffusion to be about thirty times costlier than image generation and two thousand times costlier than text generation. These findings highlight the growing energy demands of AI video models and raise concerns about transparency and sustainability as the technology scales. Read more →

Switzerland has launched Apertus, an open‑source large language model developed by the Swiss Federal Technology Institute of Lausanne (EPFL), ETH Zurich and the Swiss National Supercomputing Centre. Designed as a public‑interest AI infrastructure, Apertus is fully transparent, with source code, training documentation and datasets openly available. The model complies with Swiss data‑protection and copyright laws, offering a European‑ and Swiss‑friendly alternative to commercial AI services. Apertus is offered in two sizes—8 billion and 70 billion parameters—and can be accessed through Swisscom or Hugging Face, inviting researchers, hobbyists and businesses to build on the platform. Read more →

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. Read more →

Proton introduced Lumo, a privacy‑focused chatbot that runs on a suite of smaller open‑source language models. Launched in mid‑July and updated in August, Lumo aims to offer a viable alternative to mainstream AI assistants while preserving user data. The service builds on Proton’s earlier AI effort, the Scribe email‑writing tool, and is priced at $13 per month for unlimited use, undercutting many competitors. Proton’s head of machine learning, Eamonn Maguire, emphasizes the company’s commitment to privacy, sustainability, and integration with its existing email and cloud services, even as the market is dominated by larger AI firms. Read more →

Switzerland has launched Apertus, an open‑source large language model developed by the Swiss Federal Technology Institute of Lausanne (EPFL), ETH Zurich and the Swiss National Supercomputing Centre. Designed as a public‑interest AI infrastructure, Apertus is fully transparent, with source code, training documentation and datasets openly available. The model complies with Swiss data‑protection and copyright laws, offering a European‑ and Swiss‑friendly alternative to commercial AI services. Apertus is offered in two sizes—8 billion and 70 billion parameters—and can be accessed through Swisscom or Hugging Face, inviting researchers, hobbyists and businesses to build on the platform. Read more →

Switzerland has launched Apertus, an open‑source large language model developed by the Swiss Federal Technology Institute of Lausanne (EPFL), ETH Zurich and the Swiss National Supercomputing Centre. Designed as a public‑interest AI infrastructure, Apertus is fully transparent, with source code, training documentation and datasets openly available. The model complies with Swiss data‑protection and copyright laws, offering a European‑ and Swiss‑friendly alternative to commercial AI services. Apertus is offered in two sizes—8 billion and 70 billion parameters—and can be accessed through Swisscom or Hugging Face, inviting researchers, hobbyists and businesses to build on the platform. Read more →

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. Read more →

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. Read more →

Proton introduced Lumo, a privacy‑focused chatbot that runs on a suite of smaller open‑source language models. Launched in mid‑July and updated in August, Lumo aims to offer a viable alternative to mainstream AI assistants while preserving user data. The service builds on Proton’s earlier AI effort, the Scribe email‑writing tool, and is priced at $13 per month for unlimited use, undercutting many competitors. Proton’s head of machine learning, Eamonn Maguire, emphasizes the company’s commitment to privacy, sustainability, and integration with its existing email and cloud services, even as the market is dominated by larger AI firms. Read more →

Proton introduced Lumo, a privacy‑focused chatbot that runs on a suite of smaller open‑source language models. Launched in mid‑July and updated in August, Lumo aims to offer a viable alternative to mainstream AI assistants while preserving user data. The service builds on Proton’s earlier AI effort, the Scribe email‑writing tool, and is priced at $13 per month for unlimited use, undercutting many competitors. Proton’s head of machine learning, Eamonn Maguire, emphasizes the company’s commitment to privacy, sustainability, and integration with its existing email and cloud services, even as the market is dominated by larger AI firms. Read more →

Switzerland has launched Apertus, an open‑source large language model developed by the Swiss Federal Technology Institute of Lausanne (EPFL), ETH Zurich and the Swiss National Supercomputing Centre. Designed as a public‑interest AI infrastructure, Apertus is fully transparent, with source code, training documentation and datasets openly available. The model complies with Swiss data‑protection and copyright laws, offering a European‑ and Swiss‑friendly alternative to commercial AI services. Apertus is offered in two sizes—8 billion and 70 billion parameters—and can be accessed through Swisscom or Hugging Face, inviting researchers, hobbyists and businesses to build on the platform. Read more →

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. Read more →

Proton introduced Lumo, a privacy‑focused chatbot that runs on a suite of smaller open‑source language models. Launched in mid‑July and updated in August, Lumo aims to offer a viable alternative to mainstream AI assistants while preserving user data. The service builds on Proton’s earlier AI effort, the Scribe email‑writing tool, and is priced at $13 per month for unlimited use, undercutting many competitors. Proton’s head of machine learning, Eamonn Maguire, emphasizes the company’s commitment to privacy, sustainability, and integration with its existing email and cloud services, even as the market is dominated by larger AI firms. Read more →

Proton introduced Lumo, a privacy‑focused chatbot that runs on a suite of smaller open‑source language models. Launched in mid‑July and updated in August, Lumo aims to offer a viable alternative to mainstream AI assistants while preserving user data. The service builds on Proton’s earlier AI effort, the Scribe email‑writing tool, and is priced at $13 per month for unlimited use, undercutting many competitors. Proton’s head of machine learning, Eamonn Maguire, emphasizes the company’s commitment to privacy, sustainability, and integration with its existing email and cloud services, even as the market is dominated by larger AI firms. Read more →

Proton introduced Lumo, a privacy‑focused chatbot that runs on a suite of smaller open‑source language models. Launched in mid‑July and updated in August, Lumo aims to offer a viable alternative to mainstream AI assistants while preserving user data. The service builds on Proton’s earlier AI effort, the Scribe email‑writing tool, and is priced at $13 per month for unlimited use, undercutting many competitors. Proton’s head of machine learning, Eamonn Maguire, emphasizes the company’s commitment to privacy, sustainability, and integration with its existing email and cloud services, even as the market is dominated by larger AI firms. Read more →

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. Read more →

Switzerland has launched Apertus, an open‑source large language model developed by the Swiss Federal Technology Institute of Lausanne (EPFL), ETH Zurich and the Swiss National Supercomputing Centre. Designed as a public‑interest AI infrastructure, Apertus is fully transparent, with source code, training documentation and datasets openly available. The model complies with Swiss data‑protection and copyright laws, offering a European‑ and Swiss‑friendly alternative to commercial AI services. Apertus is offered in two sizes—8 billion and 70 billion parameters—and can be accessed through Swisscom or Hugging Face, inviting researchers, hobbyists and businesses to build on the platform. Read more →

China's Moonshot AI has released Kimi K2, a brand-new, open-source AI model that outperforms OpenAI's GPT-4.1 and Anthropic's Claude Opus 4 on core coding tasks, at a significantly lower cost. Read more →