AI Researchers On AI Risk
Surveys whether leading AI researchers actually regard superintelligence as a serious danger.
Recommended Reading
Page 7 of 10.
16 mobile theses
Lays out sixteen strategic propositions on how mobile reshapes computing, platforms, and industry structure.
The Unreasonable Effectiveness of Recurrent Neural Networks
A hands-on demonstration of how character-level RNN language models learn to generate coherent text, code and math.
Direct to Fan
Venture capitalist Fred Wilson analyzes how platform architectures like Patreon enable a direct-to-fan relationship, bypassing traditional media intermediaries.
16 More Startup Metrics
Extends the metrics framework with cohort, retention, and marketplace-specific measures for evaluating two-sided businesses.
The Economic Underpinnings and Future of Moore's Law
An analytical exploration of how rising capital expenditures and slower scaling are dragging global productivity growth.
16 Startup Metrics
Defines the core operating metrics investors track across business models including marketplace GMV, take rate, and liquidity.
Technology Diffusion and Global Value Chains in the Semiconductor Era
An IMF discussion note on how semiconductor value chains dictate global high-tech trade and product lifecycle pacing.
The AI Revolution: Our Immortality or Extinction
Part two argues superintelligence could produce either human immortality or extinction depending on alignment.
The End of Moore's Law?
A seminal blog essay discussing the physical and economic limits of silicon and the implications for artificial intelligence and robotics.
Machine intelligence, part 1
Argues superhuman machine intelligence may be the greatest threat to humanity's continued existence.
No Physical Substrate, No Problem
Rebuts arguments that superintelligence poses no threat because it lacks a physical body.
Messaging and mobile platforms
Argues messaging apps expand into software platforms, with WeChat as the exemplar of chat-as-operating-system.
What does Google need on mobile?
Examines how Google moved from perfect clarity in search to perfect complexity in a mobile, app-driven world.
Uber's New BHAG: UberPool
Frames UberPool as the natural evolution of marketplace utilization and density improvements that strengthen the underlying network.
The AI Revolution: The Road to Superintelligence
A sweeping two-part explainer on the path from narrow AI to AGI to superintelligence and its exponential dynamics.
Should AI Be Open?
Questions whether open-sourcing advanced AI is safe, examining the control problem for superintelligence.
Aggregation Theory
Introduces the framework that internet companies win by owning the consumer relationship and aggregating demand at zero marginal cost.
Having it all on social media: Entrepreneurial femininity and 'aesthetic labor' on fashion blogs
An influential academic study exploring how digital creators perform 'aesthetic labor' and build personal brands.
Come for the Tool, Stay for the Network
Building a useful single-player tool first is the cleanest way to solve the cold start problem before connecting users into a network.
a16z Podcast: The Marketplace Rules
Jordan lays out what makes marketplaces powered by software and reputation defensible and how to manage community tensions.
Reverse Network Effects: Why Platforms Fail As They Grow
Argues that unchecked growth can degrade platform value through spam and congestion, reversing the usual network-effect benefits.
For Artists, the Future Is a Love Story
Taylor Swift's influential Wall Street Journal op-ed on the value of art, music streaming, and direct connections between creators and fans.
A Next-Generation Smart Contract and Decentralized Application Platform
The foundational Ethereum whitepaper describing a decentralized application platform and Turing-complete smart contracts.