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Welcome to another episode of "Life with AI: Unlocking Your Third Brain." Today's episode is titled "Top 6 AI trends for 2024".
- Introduction to the top AI trends for 2024 and an invitation to join the Beta release of "open build" AI Studio.
- AI's profound impact on daily life and the rapid changes in technology.
- [01:22]š¤ Trend 1: Specialized AI Models
- The trend towards specialized AI models designed for specific tasks.
- These models focus on tasks like legal document analysis and equipment failure prediction.
- The rise of infrastructure models by Amazon and Google for deploying specialized AI models.
- [02:40] š Trend 2: Multimodal and Multi-sensory AI
- Development of AI systems capable of processing information from multiple sources and sensory inputs.
- Examples include Meta's holistic AI learning and AI devices with sensory models like depth perception and thermal radiation.
- [04:17] š¼ Trend 3: AI Augmentation in Workspaces
- Increasing integration of AI technologies in workplace applications.
- AI tools aiding in content generation, email composition, and presentation creation.
- AI-enabled products enhancing productivity and efficiency in the workplace.
- [05:28] š Trend 4: Open-Source AI Development
- More companies releasing their AI models as open-source for public use and development.
- Highlighting Meta's LLM-2 model and the availability of open-source libraries.
- The trend's implications for developers and the ethical considerations involved.
- [06:36] āļø Trend 5: Ethical AI and Regulations
- Growing focus on ethical considerations and regulatory frameworks for AI.
- Discussion on the EU AI Act and other international regulatory efforts.
- The importance of ethical use and transparency in AI development.
- [07:54] š„ļø Trend 6: AI-Oriented Hardware Development
- The race among tech giants to develop efficient microchips and hardware for AI models.
- Involvement of companies like Nvidia, Intel, Google, and others in creating AI-specific hardware.
- The significance of this hardware in supporting advanced AI functions and applications.
By Richard FallahWelcome to another episode of "Life with AI: Unlocking Your Third Brain." Today's episode is titled "Top 6 AI trends for 2024".
- Introduction to the top AI trends for 2024 and an invitation to join the Beta release of "open build" AI Studio.
- AI's profound impact on daily life and the rapid changes in technology.
- [01:22]š¤ Trend 1: Specialized AI Models
- The trend towards specialized AI models designed for specific tasks.
- These models focus on tasks like legal document analysis and equipment failure prediction.
- The rise of infrastructure models by Amazon and Google for deploying specialized AI models.
- [02:40] š Trend 2: Multimodal and Multi-sensory AI
- Development of AI systems capable of processing information from multiple sources and sensory inputs.
- Examples include Meta's holistic AI learning and AI devices with sensory models like depth perception and thermal radiation.
- [04:17] š¼ Trend 3: AI Augmentation in Workspaces
- Increasing integration of AI technologies in workplace applications.
- AI tools aiding in content generation, email composition, and presentation creation.
- AI-enabled products enhancing productivity and efficiency in the workplace.
- [05:28] š Trend 4: Open-Source AI Development
- More companies releasing their AI models as open-source for public use and development.
- Highlighting Meta's LLM-2 model and the availability of open-source libraries.
- The trend's implications for developers and the ethical considerations involved.
- [06:36] āļø Trend 5: Ethical AI and Regulations
- Growing focus on ethical considerations and regulatory frameworks for AI.
- Discussion on the EU AI Act and other international regulatory efforts.
- The importance of ethical use and transparency in AI development.
- [07:54] š„ļø Trend 6: AI-Oriented Hardware Development
- The race among tech giants to develop efficient microchips and hardware for AI models.
- Involvement of companies like Nvidia, Intel, Google, and others in creating AI-specific hardware.
- The significance of this hardware in supporting advanced AI functions and applications.