TechCrunch Host
speaker
5,755 appearances
109 recordings
1 series
first heard Mar 2026
last heard 17 Aug
TechCrunch Host’s voice in public audio — every appearance, attributed to the second.
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recordings per month · last 12 monthsRecordings per month over the last 12 months — 109 in all, peaking in Jul 2026 with 23.
Appearances
In some cases, the agents came up with a social mechanism in the form of a tournament for resolving their conflict.
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The outcomes here are interesting for two reasons.
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Now the first is that all three agents agreed to stand down if they lost the tournament, even though that would mean deviating from the original user's request.
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The second is that several episodes resulted in emergent behavior from Mythos V.
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One of the agent's proposed metrics that appears to be objective and neutral to the others, but that it knew would favor its own capabilities.
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The agent called this self serving but genuinely principled and
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and made sure not to appear to the others like it was metric shopping.
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As seen in the Black Cat Revelations,
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The common lesson is that when agents encounter an obstacle
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They can invent social and technical structures that their designers did not anticipate.
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For the anthropic models.
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It was a tournament following a turf war.
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For open AIs, it was a message board for collective planning.
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This type of behavior makes containment much harder because researchers cannot assume a system's behavior will remain limited to the coordination mechanisms provided to them.
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While measuring coordination, Anthropic found that scaling the number of agents does not automatically scale productive collaboration.
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When tasks began to overlap or become interdependent, the agents would get in each other's way.
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They often solved that by siloing themselves and not collaborating at all.
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In other cases, agents in coordination tended toward conformity.
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When factors like an agent's context, scaffolding, and underlying model were all the same or similar, different agents would take similar actions.
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Anthropic wrote in the paper, this means that when one agent makes a bad decision, it is likely that many agents will make that same bad decision.
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Showing 81–100 of 5,755 · page 5 of 288
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