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Contenuto fornito da Matt Cartwright & Jimmy Rhodes, Matt Cartwright, and Jimmy Rhodes. Tutti i contenuti dei podcast, inclusi episodi, grafica e descrizioni dei podcast, vengono caricati e forniti direttamente da Matt Cartwright & Jimmy Rhodes, Matt Cartwright, and Jimmy Rhodes o dal partner della piattaforma podcast. Se ritieni che qualcuno stia utilizzando la tua opera protetta da copyright senza la tua autorizzazione, puoi seguire la procedura descritta qui https://it.player.fm/legal.
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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
Contenuto fornito da Matt Cartwright & Jimmy Rhodes, Matt Cartwright, and Jimmy Rhodes. Tutti i contenuti dei podcast, inclusi episodi, grafica e descrizioni dei podcast, vengono caricati e forniti direttamente da Matt Cartwright & Jimmy Rhodes, Matt Cartwright, and Jimmy Rhodes o dal partner della piattaforma podcast. Se ritieni che qualcuno stia utilizzando la tua opera protetta da copyright senza la tua autorizzazione, puoi seguire la procedura descritta qui https://it.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

Capitoli

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)

32 episodi

Artwork
iconCondividi
 
Manage episode 433011438 series 3564150
Contenuto fornito da Matt Cartwright & Jimmy Rhodes, Matt Cartwright, and Jimmy Rhodes. Tutti i contenuti dei podcast, inclusi episodi, grafica e descrizioni dei podcast, vengono caricati e forniti direttamente da Matt Cartwright & Jimmy Rhodes, Matt Cartwright, and Jimmy Rhodes o dal partner della piattaforma podcast. Se ritieni che qualcuno stia utilizzando la tua opera protetta da copyright senza la tua autorizzazione, puoi seguire la procedura descritta qui https://it.player.fm/legal.

Send us a text

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

Capitoli

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)

32 episodi

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