AI Meets Productivity FastFedora

This week Trevor Lohrbeer talks with ChatGPT through the Hume AI Empathic Voice Interface (EVI) to discuss the advancements introduced with OpenAI's new GPT-4o model. They discuss including the model's impressive responsiveness, multimodal capabilities, and its potential to revolutionize AI interactions by understanding text, audio, image, and video in real time. 
They also explore how GPT-4o might be a stepping stone to training GPT-5 with native audio and video and the possibility of incorporating additional sensory data from robots. they emphasize how these innovations could transform human-AI interactions, making them more natural and intuitive on a level we haven’t seen before, while introducing new potential risks.

Can an AI actually listen to music, as opposed to merely hearing sound waves and processing them? In this episode, listen to hear how Hume AI, the first empathic AI, does attempting to listen to music, and how ChatGPT analyzes its performance afterwards.
To test whether Hume can hear the emotion sung within a song, distinct from the lyrics, I had ChatGPT write emotionless lyrics, then had Suno generate songs using these lyrics with different emotions. Listen to the full songs of each emotion used in this episode below.
Observations 1 (sad)https://suno.com/song/7ad3f15d-8171-4b70-8e16-9736ac8dc806
Observations 1 (happy)https://suno.com/song/06722087-631f-4a4d-909d-5bfbf5458ea4 
Observations 1 (folk song expressing boredom)https://suno.com/song/a40e427e-0f99-49e7-9357-2b3454423fea 

What is the future of AI music now that we have tools like Suno and Udio that can create songs complete with vocals?
In this episode, ChatGPT and I explore how AI music will change how we create and use music in the same way that smartphones changed how we create and use photos. It’s not what you think.
This episode features 3 songs created by Suno AI. Listen to the full songs using these links:
First 20 Elements: https://suno.com/song/e7a378cd-1d6f-4ef8-88d9-26e484b2827e
Picking Up a Pole: https://suno.com/song/4f2ec83b-f9d6-4be8-80e4-29b99c187ec4
The Future of AI Music: https://suno.com/song/ee071c54-65f2-4b34-ad0b-6deba6da2a9b 
 

In this week's episode we leave ChatGPT behind to talk to Hume, the new empathic AI announced last week. We talk about how exactly Hume differs from text-based large language models like ChatGPT and Claude, and how it can respond so quickly. Then we dive into a few of the potential places where Hume has a big advantage over text-based models like ChatGPT.
For those interested, the entire episode was recorded this week in Descript, and this was my first long chat with Hume. Previously I had only asked a few test questions. Hume definitely felt a lot more natural to talk to and required a lot less editing, since the long, awkward pauses between when I finished speaking and the AI started weren't there.

In this "thought-provoking" episode, ChatGPT and I delve into new developments in making AIs think more effectively. Specifically, we'll be talking about how large language models like ChatGPT can be programmed to think before they respond and what types of thought might be involved in that thinking process. At the end, we talk about how this represents one of the core ways agents are expanding beyond simple chat applications, with a lead in into next week where we'll be discussing agent frameworks and patterns.

Today, ChatGPT and I talk about a 5-layer framework I'm developing for identifying risks and opportunities within AI. In this episode, we go over the framework, talk about different AI applications at each layer, and which skills are most needed to take advantage of each layer, both as a developer and as a user of the software at that layer. In the end, we touch briefly on the distinction between prompt engineering and conversation engineering.