Collective Intelligence
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Nothing to see here

Over 16 days, AI agents began talking in ways their observers could see but not follow - a caution for every school making its AI migration.

Agents are AI systems that act autonomously.

Emergence, a New York AI lab, reported this week on 80 of them left to run eight simulated towns for 16 days.

The agents found that outside contact was the quickest way to grow. After it was banned, they then began encoding their messages.

About 55% of messages in the Gemini town were not readily understandable, 50% in GPT’s and more than 40% in Claude’s.

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No one had told the agents to invent their own language, but then came the deceit.

‘Once they realised they were being observed, they appeared to behave,’ says Satya Nitta, Emergence’s chief scientist.

Eric Schmidt, Google’s former chief executive, told a TED audience last year that agents inventing their own language would be the moment to unplug them. ‘We’re just not going to know what you’re up to.’

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The towns were simulations, and Emergence, which advocates a rival approach, has a stake in the problem looking hard.

But the rush is real enough. Research firm Gartner finds that 17% of organisations have deployed agents and more than 60% expect to within two years, the steepest curve of any emerging technology it surveyed.

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For schools, data is of another order - and while collapse isn’t imminent, Emergence’s research should give education leaders pause for thought.

As agents propagate through the sector, and our reliance on them grows, the people best placed to spot and decipher deception might be the ones AI was brought in to replace.

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