Fraser and Nabeel discuss the onslaught of AI hardware launches, exploring the potential factors behind this shift. They also discuss the importance of designing not by listening to your customer but by understanding the customer. The duo also discuss the importance and challenges surrounding 'prompt engineering' vs prompt writing, using BARD, SunoAI and Perplexity as case examples. They cover the layoffs in tech startups, examining the tension between growth and profitability and the potential drawbacks of a too-aggressive cost-cutting focus. Finally, they delve into the potential of AI in generating music, trying SunoAI.
Links:
- OpenAI Prompt Engineering guide
- Rabbit - new AI hardware companion
- Snipd - Podcast player
- Remarkable - Dedicated tablet for note writing
- SunoAI - AI music creation
- (00:00) - Designing AI Hardware, Prompt engineering vs prompt writing, Suno AI
- (00:47) - The era of AI hardware?
- (01:28) - Why it's the right time for AI Hardware startups
- (06:34) - YouTube, and building on top of another platform
- (08:37) - Is AI Hardware destined to be a phone appendage?
- (10:58) - Nobs, dials, and the joy of tactile
- (11:38) - The GPT Store: Should founders care?
- (17:57) - New year starts with a thud, layoffs
- (19:52) - How founders can pitch taking risk in 2024
- (23:12) - Prompt Engineering Lives On
- (24:48) - Snipd's Summaries
- (27:37) - When do you use prompts vs your roll your own model
- (33:21) - My model vs yours, it depends on the goal
- (35:11) - Consumer Web Agents
- (37:25) - The problem isn't Actions, it's Context
- (43:25) - Exploring Bard and Gemini Pro
- (46:59) - Perplexity, Search and Synthesize
- (49:23) - Prompt Engineering vs Prompt Writing
- (52:32) - Suno AI
- (54:44) - What products lend themselves to Discord communities
- (56:25) - Live test of Suno AI
