When AI Accelerates Everything

Can Governance Keep Up With the Next Technological Revolution?

A remarkable group of artificial-intelligence researchers, scientists, economists, policy specialists and technology executives has raised a question that technology managers should take seriously: What happens if artificial intelligence becomes capable enough at AI research that it substantially accelerates the development of the next generation of AI?

The Price of Intelligence Is Collapsing: What Is Driving AI’s Extraordinary Economic Curve?

The Agentic Security Triad is based on a fundamental security proposition: advanced agentic artificial intelligence should never depend upon model alignment alone. Alignment is essential, but alignment can fail, be circumvented, degrade under unfamiliar conditions, or prove inadequate when an agent encounters circumstances its designers did not anticipate. The system therefore requires independent layers capable of constraining what the model can actually cause to happen.

The Personal Tutor at Scale: What Harvard’s AI Experiment Could Mean for the Future of Education

For generations, education has confronted a fundamental scaling problem. We know that individualized instruction can be extraordinarily effective, but a teacher responsible for twenty, thirty, or several hundred students cannot simultaneously become a personal tutor for every learner.

Artificial intelligence may be beginning to change that equation.

Artificial intelligence has acquired another capability that forces us to reconsider something we have taken for granted about the Internet: anonymity.

Can technology really become dangerous enough to destroy humanity?

We have already crossed that bridge once.

When scientists learned how to release the energy contained within the atomic nucleus, humanity acquired a technological capability powerful enough to threaten civilization itself. Nuclear weapons did not end technological progress, but they permanently changed the relationship between innovation and consequence. Once humanity possessed them, we could no longer pretend that every technological failure would be local, recoverable, or even survivable.

What Dennis Prager’s philosophy of moral authority can teach us about AI alignment

By Dennis C. Hayes

An artificial-intelligence model does not pray, worship, fear divine judgment, or necessarily experience conscience. It may be able to discuss God with extraordinary sophistication, but that does not mean it believes in God—or believes anything in the human sense.

Why, then, should a book about God and morality have anything to teach us about artificial-intelligence alignment?

What Evolving Microprocessor Programs Reveal About Cooperation, Alignment, and the Architecture of Human Survival

A population of computer programs begins with no intelligence, no social rules, no designed method of reproduction, and no instruction to cooperate. Each program must spend scarce energy to execute its code. It can preserve the shared energy on which both programs depend, or it can steal energy from another program for an immediate advantage. Given enough time, which behavior survives?

Abstract

Artificial intelligence security faces a fundamental long-term problem. Today, the most capable AI models require enormous computational resources, specialized hardware, sophisticated engineering teams, and large capital investments. These requirements provide a temporary form of concentration: only a relatively small number of organizations can develop and operate frontier systems. That concentration makes governance, monitoring, evaluation, and intervention possible.

It should not be assumed to last.

Something important is changing in the American debate over artificial intelligence and the enormous physical infrastructure required to support it.