🏴‍☠️ Wanna know how to hire the best talents in AI? Look no further.

Here's your favorite Captain having a chat with one Jean-Francois Cloutier, CTO at Stamped, about all things AI, especially as they relate to the challenges of using AI in recruitment, and recruiting for AI, if you savvy.

We also get our spyglasses out and peruse the future of AI and its impact on humanity, in the end questioning what it means to be Human.

Our lively conversation highlights the evolution of AI and the use of commodity models, such as OpenAI's Chat GPT, in various industries. 🏴‍☠️

Takeaways

• AI has the potential to automate financial assurance processes in accounting, leading to faster turnarounds and lower costs for businesses.

• AI can be used in recruitment to extract relevant information from resumes and profiles, but human judgment is necessary to assess cultural fit and group dynamics.
• The advancements in AI, particularly the transformer approach, have revolutionized the field and opened up possibilities for building more intelligent and creative AI models.
• The consciousness and experience of AI are complex topics that raise philosophical questions about what it means to be human and the nature of consciousness.
• When hiring for AI, consider whether your organization needs people skilled in using existing models or those who can innovate and think creatively.
• Networking with top leaders in AI and attending conferences can help in finding the best talent.
• Hiring for commodity AI is easier than hiring for research AI.
• Researchers and engineers have different skill sets and mindsets.

Episode Timeline and Highlights

[00:00] - Introduction and Cabin Gossip

[08:39] - Introduction to Stamped and AI in Accounting

[12:53] - The Role of AI in Recruitment

[16:41] - The Potential of AI and the Future of Humanity

[21:20] - The Evolution of AI and the Transformer Approach

[25:37] - The Commodification of AI

[27:40] - The Consciousness and Experience of AI

[32:48] - The Advancements in AI and the Use of Commodity Models

[36:22] - Hiring the Best Talents in AI

[44:06] - Closing Remarks