Matthew Berman, a serial entrepreneur and founder of a popular AI YouTube channel, dives into the dynamic world of AI models. He discusses the pros and cons of closed versus open-source models, emphasizing the flexibility and cost-effectiveness of open options. Matthew expresses skepticism about the future of giants like OpenAI, raising concerns about commoditization in the tech landscape. He also explores the competitive tension among major players like Apple and Google, and the evolving job market for AI specialists amid rapid technological shifts.
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insights INSIGHT
Local Model Awe
Matthew Berman finds it remarkable that world knowledge can be stored locally.
He enjoys benchmarking local models like Llama 2, Mistral, and Microsoft Phi.
volunteer_activism ADVICE
Grok's Pivot
Groq, a competitor to Nvidia, stopped selling chips to focus on inference services.
They offer lightning-fast inference with various open-source models via API or cloud service.
insights INSIGHT
Open-Source Advantage
Open-source models allow for diverse fine-tuning, like the Dolphin version of Llama 3.
This specialization can surpass GPT-4 in specific tasks, offering better quality and lower cost.
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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
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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.
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
The Next Wave - AI and The Future of Technology 