Exploring the Boundaries of AI Engineering: A Multidimensional Perspective

Exploring the frontiers of AI engineering, borders, and constraints, as we navigate the complex landscape of artificial intelligence and its many implications for humanity.

1. The speaker has been thinking about borders and how they are a human construct.
2. Borders can be physical or artificial, like language barriers, and many people face challenges crossing them daily.
3. AI does not respect borders, as it can easily learn multiple languages and disregard copyright laws.
4. There is debate over the definition of AI engineering, with some defining it as the engineering of an API.
5. The speaker has identified three types of AI engineers: AI-enhanced, AI products, and non-human agentic AI.
6. There are different roles within the field of AI engineering, and there is ongoing exploration regarding the definition of AI engineering.
7. AI conferences are a high-stakes expression of the state of AI engineering.
8. As an AI engineer becomes more competent, they must juggle more concerns in their head.
9. The community aspect of AI conferences is crucial, and it cannot be sold or easily displayed on a website.
10. The speaker encourages attendees to share their conference experiences online for those who cannot attend in person.
11. The tracks at the conference are arbitrary and were created by the speaker.
12. There are natural laws that govern reality, and if a different group of people came to Earth, they would discover the same laws.
13. AI engineering is somewhere between software engineering and real-world engineering, with more constraints than a typical software engineer career.
14. The speaker proposes constants as one of the laws of AI engineering, such as the disparity between human speech and reading speeds.
15. Contingent facts are true for now but may change over time, such as the baseline speed limit for cheap-to-meter intelligence.
16. AI engineers should understand the Moore's Law of AI to plan for the future and avoid making bad bets.
17. The speaker proposes improving context as one of the laws of AI engineering.
18. There has been a significant decline in the cost of GPT-3 level intelligence in the past two years.
19. AI engineers should balance safety and acceleration, and care about using AI to benefit humanity.
20. The speaker encourages attendees to disagree with their own conclusions, each other, and the status quo.
21. AI Engineers should strive to turn seemingly unusable forces of nature into tools that are useful for people.
22. Attendees are encouraged to jump between tracks, friend groups, disciplines, and modalities at the conference.
23. The conference is a place where attendees can explore outside of their work and mingle with others in the field.
24. The speaker hopes that attendees will enjoy connecting with each other and looks forward to seeing them in person at the next conference.

Source: AI Engineer via YouTube

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