The Saudi Arabia of Lithium.
The geography of warfare.
1. OpenAI has published a detailed blueprint for how government should tax, regulate and redistribute the wealth from the very technology he’s racing to build and spread. Open AI CEO Sam Altman told Axios in a half-hour interview that AI super-intelligence is so close, so mind-bending, so disruptive that America needs a new social contract — on the scale of the Progressive Era in the early 1900s, and the New Deal during the Great Depression. The threats of inaction or slow action are grave, Altman warns — widespread job loss, cyberattacks, social upheaval, machines man can’t control. The two most immediate threats, he said, are cyberattacks and biological attacks. The link to Axios co-founder Mike Allen’s interview with Mr. Altman is here. The “blueprint” is here. Both are worth your time. (Sources: axios.com, openai.com)
2. Demis Hassabis worries that artificial intelligence could be catastrophic for humanity. He also runs one of the world’s leading AI labs, Google DeepMind, pushing to build smarter, faster and more powerful systems as quickly as possible. How can he do both? Today at 1pm (ET), The Economist will stream its interview with Mr. Hassabis that addresses that very question. (Source: economist.com/insider)
3. For years, progress in artificial intelligence has followed a simple rule: make it bigger with more layers, more connections, more computing power. However, a new study suggests otherwise. Instead of scaling up, the study authors built something incredibly small—a quantum system with just nine interacting atomic spins—and asked it to take on problems that usually demand far larger machines. The result was unexpected. This tiny system didn’t just hold its ground; it outperformed classical machine-learning models with thousands of nodes in tasks like predicting temperature patterns over several days. “This represents the first experimental demonstration of quantum machine learning outperforming large-scale classical models on real-world tasks,” the study authors note. (Source: interestingengineering.com)
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