Embracing Open Source and Hyper-competitiveness in AI

3min Snip

00:00

Play full episode

Summary

Transcript

Episode notes

The speaker highlights their belief in open source and hyper-competitive nature in embracing the scorched earth strategy in AI. They discuss their journey into AI starting with fascination for chatgbt leading to the establishment of a popular YouTube channel dedicated to AI learning. The speaker emphasizes the importance of benchmarking large language models and shares insights on the best local models currently available, mentioning Meta AI's Llama 3 models and Mistral AI's Mixtral model.

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:

Matthew Berman: https://www.matthewberman.com/
Llama: https://llama.com/
Mixtural: https://mixtural.com/
Google Gemini: https://gemini.google.com/
Groq: https://groq.com/
Grab HubSpot's free AI-Powered Customer Platform and watch your business grow https://clickhubspot.com/tcp

Free Resources:

[Free Download] Get the guide on LLMs and Prompt Engineering techniques to 10x your business https://clickhubspot.com/wxc

—

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:

Newsletter: https://news.lore.com/
Blog - https://lore.com/

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