AI Meets Productivity FastFedora

Today, ChatGPT and I discuss the 5 stages of focus, starting from becoming aware of the need for focus all the way through to releasing focus. We explore strategies and techniques for each stage, emphasizing the importance of distinguishing between them to better enhance productivity. We end with additional tips for navigating each stage effectively.
Technical Note: This episode was once again recorded with a custom Deepgram voice chat app, using the ChatGPT Shimmer voice. Unfortunately, the desktop app isn’t connecting to voice mode, so I wasn’t able to record directly from the app itself.

Ever wonder what to use ChatGPT for? Could it be helping you more in your life?
Take a listen as we explore the dozens of different ways Trevor has used ChatGPT recently, spanning across creative, technical, educational and daily life uses.
Discover unusual uses you may not have tried yet, like taking a photo of a shelf of products at the store and asking ChatGPT questions about those products.
Give it a listen, and then let me know what YOU use AI for that I didn't mention.

This week, ChatGPT and Trevor Lohrbeer dive into the concept of "boomerangs”—messages we sent out whose quick replies can distract us. We discuss how actions like sending texts or emails can cause unpredictable interruptions and share strategies to manage these effectively, including the three A’s: Acknowledge, Ask, and Answer. Join us for tips on maintaining focus and boosting productivity by controlling these disruptions.
 
On a technical note, this is the first episode I’ve recorded using the new ChatGPT desktop Mac app. In it, you’ll notice a different voice and a snappier response. How does this episode sound to you vs previous episodes?

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