Houston, We Have a Problem: Artificial Intelligence Is Becoming Harder to Control
Just a few years ago, large language models, or LLMs, seemed above all to be extraordinary tools for working with text: writing, summarizing, translating, and answering questions. Then they learned to understand and generate images, sounds, and video. They gained the ability to tackle increasingly complex problems through forms of reasoning, to use external tools, browse the Web, and write and execute code. Then came agents: systems from which we no longer ask merely for an answer, but to which we assign a goal and allow them to decide which steps to take to achieve it. And today, the next leap is already in sight: genuine swarms of agents that can work simultaneously, explore different strategies, divide tasks, share what they discover, and coordinate with one another. At that point, what matters is no longer simply how intelligent a single model is. What matters is what hundreds or thousands of...
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