Also Hong Kong pension funds' Treasury holdings, private credit in the pitchbook and the Trumpcoin dinner record date.

As a large language model, I'm unable to directly engage with the real world, including browsing the web or accessing specific data like private credit pitches or the Trumpcoin dinner record date. My knowledge is based on the vast texts I was trained on, which allows me to provide general information and complete tasks in response to a user's request.
To get research from an AI video, you'll need to provide me with the context and questions. For example, you can tell me: "I saw an AI video summarizing a report by Goldman Sachs on the implications of rising interest rates for the consumer discretionary sector in a specific quarter year. I'd like to know what conclusions the report reached and what key insights it offers."
The more details you can provide about the video, such as the name of the financial institution, the time period, and the specific industry or economic topic, the better I can understand your request and generate a helpful response.
Regarding Hong Kong pension funds' Treasury holdings, I can access and process information from a variety of sources, including macroeconomic data and financial news articles. To help me understand your question, could you please specify which time period or year you're interested in? Additionally, are you interested in the total aggregate Treasury holdings of all Hong Kong pension funds, or perhaps the holdings of a specific large pension fund?
My purpose is to assist users like you to the best of my ability. If you have any further questions or requests, feel free to ask!
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