OpenAI and closed source models may lead to platform lock-in where users are confined to using specific tools built around the models. In contrast, open source models allow flexibility for users to swap out models as needed, leading to more efficiency, quality, and cost-effectiveness. Businesses are advised to initially experiment with closed source models but shift to open source tools once a viable solution is found to avoid platform lock-in.
Episode 10: Are closed-source or open-source AI models the future of artificial intelligence? Nathan Lands (https://x.com/mreflow) and Matt Wolfe (https://x.com/NathanLands) delve into this question with guest Matthew Berman (https://x.com/MatthewBerman), a serial entrepreneur and founder of a popular AI YouTube channel.
In this episode, we explore the pros and cons of closed models from giants like OpenAI and Google versus open models like Llama and Mixtural. Matthew Berman shares his insights on the evolving AI landscape, the potential of future models like GPT-5, and the impact of integrating AI into major platforms such as Google and Facebook. We also speculate about OpenAI's partnership with Apple and the wider implications for the tech industry. Additionally, the discussion dives into the job market for AI specialists, Silicon Valley's pirate culture, and the challenges of hyper-growth within companies pushing the envelope on AI innovations.
Check out The Next Wave YouTube Channel if you want to see Matt and Nathan on screen: https://lnk.to/thenextwavepd
—
Show Notes:
- (00:00) Tracking AI advancements.
- (05:58) Love for open source: diverse, specific, cost-effective.
- (09:23) Swap open source model for flexibility and quality.
- (11:41) Doubts about OpenAI's long-term future, models commoditized.
- (15:03) Competition and challenges ahead for OpenAI.
- (19:06) Apple's leverage with Google, OpenAI's potential payment.
- (20:14) GPT 4's accomplishment, versus rumors of Google's Gemini.
- (23:26) Concern about integrating AI into existing platforms.
- (28:25) Large action model can control computers dynamically.
- (34:31) Sam Altman downplayed release intended for feedback; denied malintent.
- (37:39) Senate considering recall after contradictory financial statements.
- (42:56) Elon Musk raised $6 billion, largest fundraise.
- (45:32) Questioning validity of Elon's compensation package.
- (47:35) Silicon Valley pirates break rules for success.
—
Mentions:
Free Resources:
—
Check Out Matt’s Stuff:
• Future Tools - https://futuretools.beehiiv.com/
• Blog - https://www.mattwolfe.com/
• YouTube- https://www.youtube.com/@mreflow
—
Check Out Nathan's Stuff:
The Next Wave is a HubSpot Original Podcast // Brought to you by The HubSpot Podcast Network // Production by Darren Clarke // Editing by Ezra Bakker Trupiano
