OpenAI, the creators of ChatGpt, have been teasing for some time the release of a local AI model. Well, it's finally here and it's called GPTO OSS. And being a local model means that it's running completely on your machine.It's not connected to the internet. It's not connected to OpenAI servers. So, if you ever need to upload any sensitive documents or have it evaluate like company secrets, it can do that all on your machine without an internet connection, making sure it's secure.I have it running on the lo ...

[Music] Hello everybody. Uh my name is Ima. I'm a program man uh product manager at Microsoft.It's a pleasure to talk to you today about Foundry local which enables developers to easily build up crossplatform applications powered by local AI. So let's get started. Uh the first question is if the cloud AI is so powerful why do we need local AI.So here are four key reasons based on our conversations and observations with our customers. So first of all, how does cloud AI work in environments with low network b ...

Core Insights - The rapid rise of AI technologies is transforming user habits, traffic sources, and the foundational aspects of business, with ChatGPT achieving 800 million users in record time and DeepSeek gaining traction globally [1][5] - The emergence of local AI solutions is seen as a response to the dominance of American technologies, particularly in terms of computing power, model access, and data control [3][6][7] Group 1: AI Market Dynamics - CSDN has 49 million registered users and aims to become a productivity platform for developers in the AI era, marking a significant shift in the industry [5] - The AI sector is experiencing unprecedented growth, with companies like Cursor rapidly achieving revenue milestones, highlighting a shift from traditional internet platforms to AI-driven solutions [5][6] Group 2: Challenges and Opportunities - The "three mountains" of power in AI—computing power (CUDA), model access (closed models), and data control (English-dominated datasets)—pose significant challenges for non-English speaking countries [3][6] - The need for a diverse and open data ecosystem is emphasized to overcome data hegemony and enable local AI development [6][7] Group 3: Future of Programming - The concept of "code blindness" is expected to fade as more individuals, including product managers, gain the ability to develop applications independently, transforming the programming landscape [8][9] - The number of developers is projected to grow significantly, with AI tools making coding more accessible and efficient [8][9] Group 4: AI and Hardware Integration - AI is not only transforming software but also hardware, with low-cost solutions enabling the integration of AI capabilities into physical products [11][12] - China's manufacturing capabilities are highlighted as a significant advantage in leveraging AI for hardware innovation, potentially leading to new industry creations [12][13]

Core Viewpoint - The article discusses the transition from Global AI to Local AI, emphasizing the need for countries and companies to establish their own data stacks to overcome the "three mountains" of power held by the U.S. in AI technology, models, and data [3][10]. Group 1: Transition to AI - The shift from traditional internet to AI represents a fundamental change in user habits, traffic sources, and business foundations [2]. - ChatGPT has rapidly gained 800 million users, showcasing the speed of AI adoption, while other AI companies are experiencing significant revenue growth [7]. - The emergence of DeepSeek signifies a move towards global equity in AI, challenging the dominance of U.S.-based AI solutions [7][10]. Group 2: The Three Mountains - The "three mountains" that need to be overcome include: 1. **Computing Power Dominance**: The U.S. maintains control through CUDA, necessitating the development of alternative systems like Huawei's CANN and AMD's ROCm [8]. 2. **Model Dominance**: The closed nature of U.S. models limits access, prompting the need for open-source alternatives like DeepSeek [9]. 3. **Data Dominance**: The reliance on English-dominated datasets restricts the development of localized AI solutions, highlighting the need for diverse, multilingual datasets [9]. Group 3: The Future of Programming - The article predicts the decline of "code illiteracy," with more individuals becoming capable of programming as AI tools simplify the coding process [11][12]. - The number of developers is expected to grow significantly, with GitHub reporting 190 million developers, increasing by 20% annually [11]. - The role of traditional programmers will evolve, as many tasks can now be automated by AI, allowing non-programmers to create applications independently [12][15]. Group 4: AI's Impact on Hardware - AI is transforming not only software but also hardware, enabling low-cost programming of physical devices [16]. - The integration of AI with hardware manufacturing in China presents significant opportunities, as demonstrated by successful startups leveraging AI for product development [17]. - The future will see a blend of software and hardware capabilities, allowing for innovative applications in various industries [17]. Group 5: The Future Landscape - The next decade is expected to witness a massive industrial transformation driven by AI, with every individual gaining access to powerful AI tools [18]. - The shift from digitalization to intelligent systems will redefine the boundaries of software development and user interaction [18].