Science & Technology

Teaching generative AI systems to manipulate tools has the potential to supercharge AI applications - and comes with tremendous risks.

ChatGPT and other natural language models have recently sparked considerable intrigue and unease. Governments and businesses are increasingly acknowledging the role of Generative Pre-trained Transformers (GPTs) in shaping the cybersecurity landscape. This article discusses the implications of using GPTs in software development and the potential impact on cybersecurity in the age of artificial intelligence (AI). While GPTs can improve efficiency and productivity for programmers, they will not replace human programmers due to the complex decision-making processes involved in programming beyond simply writing code. And while they may help in finding shallow bugs to prevent short-lived vulnerabilities, GPTs are unlikely to change the balance of power between offense and defense in cybersecurity.

Calder Walton says both seek to topple the United States from atop world stage, with China's blend of money, influence, all-hands-on-deck approach posing the greater threat.

Stephen Walt analyzes the priority that the United States should place on competing with China by asking and answering five questions.

Bruce Schneier and Nathan E. Sanders propose six milestones that will herald a new era of democratic politics driven by AI in the near future.

AI is shaping up to be part of surveillance capitalism, warn Bruce Schneier and Nathan Sanders.

Calder Walton recounts how Russia and China are using their intelligence agencies to reverse the outcome of the Cold War

Gabrielle Armstrong-Scott and Jim Waldo argue that machine learning tools and a better definition of "terrorist and extremist content" could help make the Web a safer place.

A future where A.I.s interpret, apply, and enforce most laws at societal scale like this will exponentially magnify problems around fairness, transparency, and freedom, warn Jonathon W. Penney and Bruce Schneier.

A key constructive-use case for artificial intelligence in democratic processes is to serve as discussion moderator and consensus builder.