51 karma · joined May 12, 2023
Gives me cosmological analogies: in the far enough future, the only things you can see in the night sky are the members of the local supercluster.
Even if the dating is most likely inaccurate as a structure, I got that similar surreal emotion when I learned about Gunung Padang.
Artificial intelligence (AI) has the potential to impact various aspects of the commercial real estate industry, but it may not have the ability to save or prevent a commercial real estate bubble on its own. The state of the commercial real estate market is influenced by a complex interplay of economic, financial, and market forces, and the rise or fall of a bubble is typically tied to broader economic conditions.
Here are some ways in which AI can be relevant to the commercial real estate industry:
1. Data Analysis: AI can help analyze large volumes of real estate data, such as property values, rental rates, and market trends, to provide insights to investors, developers, and property managers. This data analysis can inform decision-making and help identify investment opportunities.
2. Predictive Analytics: AI algorithms can be used to make predictions about future trends in the real estate market, which can aid in making informed investment decisions and risk assessments.
3. Automation: AI can automate various aspects of property management and maintenance, potentially reducing operational costs and increasing efficiency for property owners.
4. Risk Assessment: AI can assist in assessing the creditworthiness of tenants and help in the underwriting process for commercial real estate loans.
5. Virtual Tours and Visualization: AI-driven technologies can enhance property marketing by creating virtual property tours and realistic visualizations of properties.
While AI can provide valuable tools and insights, it cannot single-handedly save a commercial real estate bubble. The rise or fall of a real estate bubble typically involves a combination of factors such as interest rates, economic conditions, supply and demand dynamics, and investor sentiment.
To address issues related to a potential real estate bubble, it often requires a combination of government policy, prudent lending practices, and regulatory oversight. AI can be a part of the solution, but it is just one component of a complex ecosystem in the real estate industry.
You're into something. I like this.
On the other: I am not supposed to share sensitive data, confidential trade secrets, or privileged national security intelligence that I learned without the necessary authorization.
Applied to an LLM, how would that work?
Surface-level: the API price hikes are at a glance meant to force out third-party Reddit interfaces. To speculate, this is aimed to funnel users to Reddit's official application. I can say that because the mobile website is getting crippled over time to "encourage" users to use the app.
Deeper-level: it is reflective of Reddit corporate's attitudes towards its users. They are gearing for an IPO, so they want to tell investors that they will be profitable (read: milk its users, monetize everything, remove convenient features if it will mean profits, etc.)