A selection of important scientific papers, technical documents, & independent analysis on topics related to our Automation investment theme.
Artificial intelligence, industrial robots, self-driving cars, natural language processing, programable money. In the long run, everything will be automated. No job is safe. The question is - how can we harness automation to create a future of human abundance, creativity and wealth? For context, industrial automation alone is projected to reach $326 billion by 2023 with a CAGR of 8.9%. The global artificial intelligence market, however, valued at ~$40 billion in 2019 is expanding rapidly with a 42.2% CAGR. The global autonomous vehicle market is expected to grow at an astounding 63.1% CAGR to reach $3.1 trillion in 2030.
The AI Index Report
Annual reports starting in 2017 measuring trends in Artificial Intelligence based on findings from the Stanford Institute for Human-Centered Artificial Intelligence.
The Vulnerable World Hypothesis
Scientific and technological progress might change people’s capabilities or incentives in ways that would destabilize civilization. The vulnerable world hypothesis offers a new perspective from which to evaluate the risk-benefit balance of developments towards ubiquitous surveillance or a unipolar world order.
Global AI Vibrancy Tool - Who’s leading the global AI race?
The Global AI Vibrancy Tool is an interactive visualization that allows cross-country comparison for up to 26 countries across 22 indicators. The tool provides transparent evaluation of the relative position of countries based on users’ preference; identifies relevant national indicators to guide policy priorities at a country level; and shows local centers of AI excellence for not just advanced economies but also emerging markets.
Sharing the World with Digital Minds
Here we focus on one set of issues, which arise from the prospect of digital minds with superhumanly strong claims to resources and influence. These could arise from the vast collective benefits that mass-produced digital minds could derive from relatively small amounts of resources. Alternatively, they could arise from individual digital minds with superhuman moral status or ability to benefit from resources.
Public Policy and Superintelligent AI: A Vector Field Approach
We consider the speculative prospect of superintelligent AI and its normative implications for governance and global policy. Machine superintelligence would be a transformative development that would present a host of political challenges and opportunities
DALL·E: Creating Images from Text
We’ve trained a neural network called DALL·E that creates images from text captions for a wide range of concepts expressible in natural language.