This podcast episode features Matt Wolfe, Nathan Lands, and Matthew Berman discussing the recent releases and capabilities of Grok 3, Claude 3.7, and GPT-4.5. They analyze each model’s strengths, weaknesses, and potential use cases, diving into coding abilities, real-time information access, creative writing, and bias.
The conversation starts with Grok 3, praising its speed and real-time information access through X integration, making it a go-to model for quick information retrieval. However, the “Elon factor” and potential bias are discussed as drawbacks. The trio then moves to Claude 3.7, which is recognized for its strong coding abilities and consistency, especially after the new update. Finally, they discuss GPT-4.5, which is still new to them. GPT-4.5 is noted for its slow performance but is considered promising for creative writing due to its writing style.
The discussion also touches on the saturation of existing AI benchmarks, the potential for AI to amplify bias, and the importance of human oversight. Practical applications, such as levels IO’s flight simulator created with Grok 3, are highlighted. In the end, the group shares a feeling of excitement over the possibilities these models will allow for in the near future.
In Short
- Grok 3: Excels in speed and real-time information access. The real time information is obtained from X.
- Grok 3: Is seen to have potential limitations because of its association with Elon Musk.
- Claude 3.7: Shows improved coding abilities and consistency. Great for coding in the latest update.
- GPT-4.5: Is promising for creative writing. The slow performance needs to be addressed.
- AI benchmarks are becoming saturated. Benchmarks need to be redesigned for modern models.
- AI has the potential to amplify bias on social media. Human oversight is crucial to avoid this.
- Grok 3 (for general things)
- Claude 3.7 (for coding)
- Perplexity – deep research
text
