Just finished participating in the entire $Meta Platforms(META.US) earnings call, listening to Zuck and CFO Susan discuss Meta's financial report and answer questions. I've distilled a few of my own views, mainly revolving around:

What is the underlying logic and growth flywheel for $Meta Platforms(META.US)'s development in the AI era?

1. Excellent AI models lead to excellent products, excellent products create user stickiness, user stickiness attracts advertisers, thereby generating excellent performance.

2. How to create excellent foundational models? It requires data infrastructure and computing power infrastructure. Meta itself already has high-quality data, so the main massive capital expenditure goes into computing power infrastructure. The price of computing power infrastructure is constantly rising, especially the cost growth of memory (this also, from one perspective, reconfirms the certainty of memory shortages).

3. Foundational models are the basis for all products, so the models must be well-developed. They didn't take shortcuts by relying on external APIs. Excellent foundational models produce more accurate algorithms and content recommendations, also helping advertisers find precise users. A positive flywheel.

4. Besides the newly launched model Muse Spark Avocado, there are more models in development. Models need to have the ability for self-improvement.

5. $Meta Platforms(META.US)'s model goal is the individual, helping and empowering individuals to achieve their ideals, covering all aspects of daily personal life, such as commercial shopping. (Zuck had an expression roughly alluding to Claude wanting to solve all problems for all enterprises)

The above is my understanding of some of the situation from the call and my own thoughts. My judgment is that $Meta Platforms(META.US) will still be very competitive in the AI era. What's your take?