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LLAMA, OPEN SOURCE, CROWDSTRIKE, HYPE: Jimmy and Matt debate their key AI stories from July 2024

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Manage episode 433011438 series 3564150
Content provided by Matt Cartwright & Jimmy Rhodes, Matt Cartwright, and Jimmy Rhodes. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Matt Cartwright & Jimmy Rhodes, Matt Cartwright, and Jimmy Rhodes or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

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In the first in a new series of monthly episodes, Jimmy and Matt debate the AI topics which have piqued their interest in July. Diving into the nuances between open-source and closed-source AI models, Jimmy reveals how personal use of Meta's Llama can revolutionize your data privacy and control. Hear Jimmy's first hand experience running a smaller Llama model on his own computer and discover why the performance gap between open-source and closed-source models like ChatGPT and Claude is narrowing faster than you might think.
Curious about why tech giants are open-sourcing their AI models? We break down Meta's strategic move under Mark Zuckerberg’s leadership, comparing it to Tesla's game-changing approach with electric motors. This episode uncovers how open-sourcing can disrupt established ecosystems, stimulate innovation, and reshape the AI business landscape. We emphasize the fleeting nature of having the "best" AI model and how open-source contributions can provide a strategic advantage in this fast-paced field.
From security risks to ethical considerations, we tackle the big questions surrounding AI development and its implications on national security. Learn why both open and closed-source models have their vulnerabilities and why AI's potential role in cybersecurity is a double-edged sword. Reflecting on recent incidents like the CrowdStrike outage, we debate whether AI is reaching a plateau in capabilities or if it's simply a victim of overhyped expectations. Tune in to get a comprehensive look at the future of AI, the investment buzz, and what it all means for you.

  continue reading

Chapters

1. LLAMA, OPEN SOURCE, CROWDSTRIKE, HYPE: Jimmy and Matt debate their key AI stories from July 2024 (00:00:00)

2. Welcome to Preparing for AI (00:00:01)

3. New Llama models (00:01:20)

4. Open source models (00:10:38)

5. Closed source models (00:34:13)

6. CrowdStrike and Cyber Security (00:46:34)

7. Have we maxed out LLM architecture? (00:58:16)

8. The Hype Cycle and AI investment (01:02:58)

9. Llama Queen (Outro track) (01:17:06)

23 episodes

Artwork
iconShare
 
Manage episode 433011438 series 3564150
Content provided by Matt Cartwright & Jimmy Rhodes, Matt Cartwright, and Jimmy Rhodes. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Matt Cartwright & Jimmy Rhodes, Matt Cartwright, and Jimmy Rhodes or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

Send us a Text Message.

In the first in a new series of monthly episodes, Jimmy and Matt debate the AI topics which have piqued their interest in July. Diving into the nuances between open-source and closed-source AI models, Jimmy reveals how personal use of Meta's Llama can revolutionize your data privacy and control. Hear Jimmy's first hand experience running a smaller Llama model on his own computer and discover why the performance gap between open-source and closed-source models like ChatGPT and Claude is narrowing faster than you might think.
Curious about why tech giants are open-sourcing their AI models? We break down Meta's strategic move under Mark Zuckerberg’s leadership, comparing it to Tesla's game-changing approach with electric motors. This episode uncovers how open-sourcing can disrupt established ecosystems, stimulate innovation, and reshape the AI business landscape. We emphasize the fleeting nature of having the "best" AI model and how open-source contributions can provide a strategic advantage in this fast-paced field.
From security risks to ethical considerations, we tackle the big questions surrounding AI development and its implications on national security. Learn why both open and closed-source models have their vulnerabilities and why AI's potential role in cybersecurity is a double-edged sword. Reflecting on recent incidents like the CrowdStrike outage, we debate whether AI is reaching a plateau in capabilities or if it's simply a victim of overhyped expectations. Tune in to get a comprehensive look at the future of AI, the investment buzz, and what it all means for you.

  continue reading

Chapters

1. LLAMA, OPEN SOURCE, CROWDSTRIKE, HYPE: Jimmy and Matt debate their key AI stories from July 2024 (00:00:00)

2. Welcome to Preparing for AI (00:00:01)

3. New Llama models (00:01:20)

4. Open source models (00:10:38)

5. Closed source models (00:34:13)

6. CrowdStrike and Cyber Security (00:46:34)

7. Have we maxed out LLM architecture? (00:58:16)

8. The Hype Cycle and AI investment (01:02:58)

9. Llama Queen (Outro track) (01:17:06)

23 episodes

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