Consider how much you would pay or what special features you would require to access social networks like Facebook, Twitter, TikTok, Instagram, or Snapchat.
Offering the right features for paid subscriptions is crucial for social networks to succeed, as seen in the example of Twitter Blue.
Understanding what users are willing to pay for on social networks is important, especially as the industry shifts towards freemium models.
Asset specificity plays a key role in determining firm boundaries and decisions on vertical integration or contracting out.
The consideration of asset specific costs and transaction costs affects the make-or-buy decision for firms.
Using existing assets can be a cost-effective solution for firms, reducing the need for specialized assets and influencing decisions on vertical integration.
A John Deere dealership employee was caught on tape discussing the possibility of using software updates to block third-party competitors from working with John Deere equipment.
The mention of using software updates to push out competition raises questions about anti-competitive behavior, which could potentially violate U.S. antitrust laws.
The conversation highlights the importance of 'Right to Repair' legislation and the need for transparency from major agricultural equipment manufacturers in creating an open and competitive precision agriculture ecosystem.
Encourage kids and others to interact more in real life, consider alternatives to college, find careers that can't be easily automated, and learn to coexist with AI.
Embrace lifelong learning and be open to change in order to adapt to evolving technologies and industries.
Read up on interesting articles about tech, AI, data, and business topics for insights and inspiration.
There was a 10% increase in tax delinquent Detroit homeowners as of August 2023 compared to August 2022.
This increase in delinquency was driven by fewer homeowners paying off their debt and more homeowners falling into delinquency.
Notable concentrations of newly tax delinquent homeowners in areas like northeast Detroit, west side, and southwest Detroit were observed in August 2023.
Large language models (LLMs) can be used for tasks like email completion and code explanation, but currently need hardware accelerators beyond personal devices.
Using on-device LLMs allows greater control over data and the ability to create personalized generation models.
A community of developers is working towards enabling LLM inference locally to empower creators and researchers in utilizing these models for their projects.