Introduction
Paul welcomes listeners to the show and provides a brief overview of what to expect in this episode.
The focus of the show is on trends, tips, and tools of marketing AI.
This week's episode begins with Paul answering a listener's question: what tools did you use to create the first episode?
Story 1: Imminent release of GPT-4
Microsoft Germany announced the imminent release of GPT-4, which will feature multimodal models with video capabilities.
The AI community expects GPT-4 to be an input rather than an output tool.
Martin and Paul discuss the potential impact of GPT-4 on marketers.
Story 2: Rise of the CRM AI assistants
Paul and Martin talk about the launch of CRM AI assistants such as HubSpot's Chatspot.ai, Einstein GPT, and Microsoft ChatBot for Dynamics CRM.
Martin and Paul discuss the implications of ChatGPT and other CRM AI assistants for marketers.
Story 3: Microsoft launches BioGPT
Microsoft recently launched BioGPT, a domain-specific LLM trained on biomedical content.
BioGPT can outperform humans on some simple tasks, such as answering questions with short answers.
Martin and Paul discuss the potential applications of BioGPT for drug development, clinical trials, biomedical education, and data analysis.
Story 4: AI re-creates what people see by reading their brain scans
Researchers have used Stable Diffusion, an image generation AI model, to interpret brain activity and recreate images that people were looking at.
The AI system was tested on brain scans from the same four people who provided the training brain scans.
Martin and Paul discuss the potential implications of this technology for cognitive neuroscience research.
Tool of the Week: Runway.ml
Paul introduces Runway.ml, an all-in-one image and video creation and editing tool that offers a range of AI-supported image and video generation and enhancement tools.
He discusses its features, including its low monthly fee, infinite image and image expander, inpainting for removing objects and people from videos, and its new GEN-1 tool for creating video.
Paul also shares an example project and his experience using the tool.
Conclusion
Paul and Martin wrap up the episode and provide a brief preview of what to expect in the next episode.
