Key insights

• Future of AI and Gemma models

  • 👥 Personalized and contextual AI interactions
  • 🔮 Potential for dynamic model customization, multimodality, and standardization in 2025
  • 🌐 AI's impact on creativity, problem-solving, and roadmap for young engineers

• Challenges in AI development and future direction

  • 📉 Saturation of models against benchmarks
  • 🔨 Focus on engineering and optimizing existing models
  • 📊 Use of feedback data for hyper customization

• Impact of AI on the future of work and software engineering

  • 💻 AI-assisted coding enabling faster development
  • 🏗️ Implications for software engineers and adapting to the changing landscape of work

• Open source models, global knowledge, and Universal Basic Income

  • 🌍 Create open source models and datasets for Humanity
  • 💡 Fund all the best research and researchers
  • 📚 Organize global knowledge using AI
  • 💸 Potential need for Universal Basic Income (UBI)
  • ⚠️ Challenges and considerations regarding UBI implementation

• Evolution and impact of AI models

  • 🔍 Importance of open source models and their impact on the industry
  • 🐚 Shelling AI's focus on open distributed AI system for specialized use cases and national data sets

• Decreasing cost of intelligence and real-world use cases for AI

  • 💰 Management skills in using AI models are becoming essential
  • ⚙️ Leveraging AI for real-world use cases and problem-solving is crucial
  • 🔧 Utilizing AI technology effectively for real-world problem-solving and product management skills

• Rapid advancement of language models and AI economics

  • 🚀 Real-time video and audio generation, personalized media, and hyper-optimizations
  • 💬 Debate between building a product or a service company around AI models
  • 🔄 The role of open source in AI economics, enabling cost reduction and vertical integration

• Intersection of AI and video technology

  • ⚛️ Advancements in stable diffusion and stable video models
  • 📹 Potential for high-quality video generation
  • 🤖 Challenges and breakthroughs in video AI technology

Q&A

• What are the highlights of the future of AI and models, including Gemma Flash and Gemma 2B?

  The conversation explores the potential for personalized and contextual AI interactions, minimal cost of intelligence, dynamic model customization, multimodality, and standardization set for 2025. It also discusses AI's impact on creativity, problem-solving, and the roadmap for young engineers.

• What is the current focus of companies in the AI field, and what does the future hold for AI models?

  Companies are focused on engineering and optimizing existing models rather than aiming for major breakthroughs. The future lies in pulling together the capabilities of these models in design patterns and integrating feedback data for hyper customization.

• How is the future of work changing with AI and what impact does it have on the software engineering industry?

  The potential of AI, automation, and universal basic income is reshaping the future of work. AI-assisted coding is becoming a reality, raising questions about job roles and skills. The impact on the software engineering industry, including potential opportunities and threats, is significant.

• What are Shelling AI's objectives and what are the considerations regarding Universal Basic Income (UBI)?

  Shelling AI aims to build an open distributed AI system focused on open data and models for specialized use cases. It addresses the potential job displacement and the need for Universal Basic Income (UBI), which is a challenging but essential subject to address.

• What are the main topics discussed about the evolution of AI models and their potential impact on different industries?

  The discussion includes the evolution and competition in AI models, the importance of open source models, the roles of universities in creating generalized models, and the potential impact on different industries.

• What are the key points regarding the decreasing cost of intelligence and the essential AI management skills?

  The cost of intelligence is decreasing, making consumer hardware competitive for AI tools and services. AI management skills are becoming essential for leveraging AI models for real-world use cases and problem-solving.

• What is the ongoing debate regarding AI models, and what role does open source play in AI economics?

  The ongoing debate is about building a product or a service company around AI models. Open source plays a significant role in AI economics, enabling cost reduction and vertical integration.

• How are language models advancing and what capabilities are being facilitated by evolving AI models?

  The rapid advancement of language models is leading to improved performance and real-time capabilities. Evolving AI models are facilitating real-time video and audio generation, personalized media, and hyper-optimizations.

• What does the video discuss at the intersection of AI and video technology?

  The video discusses the intersection of AI and video technology, highlighting advancements in stable diffusion and video models, and the potential for high-quality video generation. It also delves into the challenges and breakthroughs in video AI technology.

• 00:00 Imad discusses the intersection of AI and video, highlighting the advancements in stable diffusion and stable video models. He explains the potential for high-quality video generation and discusses the challenges and breakthroughs in video AI technology.
• 09:17 The rapid advancement of language models is leading to improved performance and real-time capabilities. Real-time video and audio generation, personalized media, and hyper-optimizations are being facilitated by evolving AI models. The debate between building a product or a service company around AI models is ongoing. Open source plays a significant role in AI economics, enabling cost reduction and vertical integration.
• 18:34 The cost of intelligence is decreasing, consumer hardware may become competitive for AI tools and services, management skills in using AI models are becoming essential, and leveraging AI for real-world use cases and problem-solving is crucial.
• 27:32 Discussion about the evolution of AI models, including the importance of open source models, the role of universities in creating generalized models, and the potential impact on different industries. Shelling AI aims to build an open distributed AI system focused on open data and models for specialized use cases such as cancer research and national data sets.
• 36:55 Shelly aims to create open source models and datasets for Humanity, fund all the best research and researchers, and organize global knowledge using AI. India's infrastructure can leap forward into the AI era, but potential job displacement may lead to the need for Universal Basic Income (UBI), which is a challenging but essential subject to address.
• 45:54 The future of work is changing with the potential of AI, automation, and universal basic income. AI-assisted coding is becoming a reality, allowing for faster development but also raising questions about job roles and skills. The impact of these changes on the software engineering industry, including potential opportunities and threats, is significant.
• 54:54 The AI hype may be reaching a technological plateau as the saturation of models against benchmarks is being observed. Companies are focusing on engineering and optimizing existing models rather than aiming for major breakthroughs. The future lies in pulling together the capabilities of these models in design patterns and integrating feedback data for hyper customization.
• 01:04:29 The future of AI and models, including Gemma Flash and Gemma 2B, is discussed with a focus on personalized and contextual AI interactions. The cost of intelligence is minimal, and the potential for dynamic model customization, multimodality, and standardization is highlighted for 2025. The conversation explores the possibilities of AI applications in various fields and its impact on creativity and problem-solving.