Unverified50% confidenceConceptExact time
In the agent context, long horizon capability usually means the model can maintain its original goal across dozens or even hundreds of steps, remember intermediate states, and recover from errors.
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50%
Confidence
Long-term
Relevance
10/29/2026
First Seen
Sources
Gemini 4 Carbon: Google's Next Frontier Model Unveiled
producthuntProductHunt Daily10/29/2026
Related Entities
Related Claims
UnverifiedLong-horizon agent tasks generally refer to task sets that require a model to maintain goal consistency, remember context, and dynamically adjust strategies across dozens or even hundreds of interaction steps.76% similarUnverifiedA long-horizon agent refers to an AI system that can autonomously decompose, plan, and execute multi-step tasks over extended time spans without continuous user intervention, maintaining persistent task state and memory while being capable of running asynchronously in the background68% similarUnverifiedLongMemEval is a benchmark for evaluating long-horizon memory capability, in which multi-hop tasks require the system to reason across multiple memory fragments to answer a single question.67% similarUnverifiedOne of the core characteristics of agents is the ability to autonomously advance tasks until completion, whereas ordinary large models operate in a turn-based manner.67% similarUnverifiedLarge language models are prone to goal drift during multi-step long-duration tasks, gradually deviating from the original core objective66% similar
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