Peter Dawell and Nora Kane talk about DeepSeek-V3, a large language model with 671 billion parameters developed using innovative architectures and training methods. It achieves results comparable to top-of-the-line closed systems while outperforming many open source models. The model is offered on Hugging Face and can be operated locally on various hardware platforms (including AMD and Huawei Ascend) with various frameworks. The documentation includes detailed instructions for local execution and evaluates the performance of the model against various benchmarks. Commercial use is supported.

Peter Dawell and Nora Kane talk about Zapier's article, which presents over 60 AI-powered productivity tools, categorized by application (e.g. chatbots, copywriting, video editing). Each tool is briefly described and illustrated with examples for integration into other applications via Zapier. The author emphasizes the increasing performance of these tools, but advises critically examining the AI ​​results. The focus is on increasing efficiency through automation and AI-powered support in various work tasks. The article serves as an overview and provides links to more detailed information.

Peter Dawell and Nora Kane discuss various aspects of artificial intelligence (AI), including advances in 3D modeling using generative AI, the development of AI-powered healthcare applications and their ethical implications, improving the accuracy and fairness of AI Models, the application of AI to generate hypotheses in research, the development of new AI processors for faster and more energy-efficient calculations, as well as AI-based applications in the areas of warehouse management and mental health. An article reports on Apple's shift in focus from electric vehicles to AI projects.

Peter Dawell and Nora Kane look at the impact of artificial intelligence (AI) on the job market. They examine which jobs are at risk from automation and which skills will be in demand in the future. Both positive aspects of AI integration (increased efficiency, creation of new jobs) and negative ones (job loss, social inequality) are discussed. Specific examples of affected professional groups such as web developers and graphic designers are given, and assessments of automation risk vary depending on the source. In addition, the need for adaptation and further training is addressed.

Peter Dawell and Nora Kane talk about Ollama, a tool for running open-source Large Language Models (LLMs) locally. It provides a user-friendly interface and APIs for various programming languages ​​to manage and interact with LLMs, including features such as structured outputs and function calls. One focus is on data protection through local processing of data. Instructions for installing and using Ollama on different operating systems (Windows, Linux, macOS) are also provided, along with examples of practical use in various contexts, such as chatbot development and task automation.

Peter Dawell and Nora Kane provide a brief overview of 40 of the best AI tools of 2025, categorized by application areas such as text generation, video creation, image editing and project management. Each tool is briefly described, including its strengths and weaknesses and pricing model. The focus is on the author's practical experiences. Additionally, free options are highlighted. The article serves as an informative guide for selecting appropriate AI solutions for various tasks.

Peter Dawell and Nora Kane talk about Sora, OpenAI's new text-to-video AI model. Sora generates photorealistic videos from text descriptions and offers features such as animation and remixing of existing videos. Access to Sora is currently limited, but a wider release is planned. The sources discuss Sora's abilities, possible applications in various industries, and potential risks such as the spread of misinformation. Additionally, alternative text-to-video models are mentioned.

Peter Dawell and Nora Kane cover the increasing use of artificial intelligence (AI) in music production, particularly the generation of music and cover art using AI. The pros and cons of this development are discussed, including ethical concerns regarding copyrights and the potential displacement of human artists. Various AI music generators such as Suno and Udio are introduced and their functions are explained. In addition, the opinions of prominent musicians such as Alice Cooper and Corey Taylor on AI music are discussed. Finally, examples of AI-generated music and its reception are presented.

Peter Dawell and Nora Kane deal with artificial intelligence (AI), particularly its applications in healthcare, especially in dermatology. They explain various AI concepts such as machine learning and deep learning, analyze their use in diagnosing skin diseases, compare the accuracy of AI algorithms with that of dermatologists, and discuss ethical and practical challenges and risks of AI implementation in the medical field.

Welcometo "What's Going on with AI?", hosted by Peter Dawell and Nora Kane!Dive into the fascinating world of artificial intelligence with us. We'll bringyou the latest news and breakthroughs, explore cutting-edge tools, and provideinsights on how AI is transforming our lives and the world around us. From music,video, and image generators to the wonders of large language models, we coverit all. Tune in to stay informed and inspired by the future of AI!