Aggregation Theory
Aggregation Theory provides a framework to understand the impact of the Internet on nearly all industries.
-
Zillow fits the description of an aggregator, but it hasn’t transformed its industry due to a lack of integration. Now it is trying to do exactly that.
-
Facebook is in trouble — again — for Russian ads about the election; figuring out how to deal with them requires first understanding that Facebook, like Google, is a Super-Aggregator. It faces zero transaction costs…
-
An apolitical analysis of what is happening in U.S. politics through the lens of Aggregation Theory
-
The FANG companies — Facebook, Amazon, Netflix, and Google — are far more similar than you might think. Their rise in value is no accident, and it is connected to Aggregation Theory.
-
The disruption caused by the Internet in industry after industry has a common theoretical basis described by Aggregation Theory.
-
Friendly Google and Enemy Remedies
The DOJ brought the right kind of case against an Aggregator, which stagnates by being too nice; the goal is for companies to act like they actually have enemies.
-
Apple and the OpenAI Board, Microsoft and the OpenAI Board
Both Apple and Microsoft are leaving their board observer positions with OpenAI; Apple should have never been there in the first place, while Microsoft is probably focused on escaping regulatory scrutiny.
-
Why Apple Deserves Special Scrutiny, Paramount Merges with Skydance
Apple deserves special scrutiny from regulators, and Paramount demonstrates Hollywood’s commitment to irrationality.
-
Perplexity and Robots.txt, Perplexity’s Defense, Google and Competition
Perplexity is accused of violating robots.txt, which isn’t even a law. It’s actions are also necessary if you ever want competition for Aggregators.
-
The Apple-OpenAI “Deal”, Japan and the App Store, Apple’s AI Developer Risk
More on Apple AI, including details about its “deal” with OpenAI, new App Store regulation in Japan, and why Apple needs developers more than ever.
-
An Interview with Daniel Gross and Nat Friedman About Apple and AI
An interview with Danial Gross and Nat Friedman about Apple’s impressive WWDC keynote, whether or not we are in a bubble, and the future outlook for AI.
-
How Apple Intelligence Works, Apple’s AI Bear Case, The Talk Show Live
Understanding how Apple Intelligence works explains Apple’s advantageous position; then, how Apple might still fall short, and two takeaways from Apple executives speaking to John Gruber
-
[FREE] WWDC, Apple Intelligence, Apple Aggregates AI
Apple’s WWDC keynote was extremely impressive: Apple Intelligence is something only Apple could build, and it enhances their platform power such that AI companies like OpenAI have to accept Apple’s terms.
-
Databricks Buys Tabular, The End of Software?
Understanding why Databricks bought Tabular, and why there will still be a market for software in the future.