Unverified50% confidenceFactExact time
When a model calls external APIs, the input data, the corpus used for fine-tuning, and the feedback deposited from model outputs may all flow into third-party hands.
1
Sources
50%
Confidence
Long-term
Relevance
11/2/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedLetting a model see the outputs of other models is essentially injecting additional information into the input, which is a different matter from whether models can develop emergent capabilities through interaction.80% similarVerifiedEach model invocation consumes both input tokens (prompts and context) and output tokens (the model's generated response), with the two typically priced separately.75% similarVerifiedPrompt injection is divided into two categories: direct injection (the user directly manipulates model behavior) and indirect injection (contaminating the context through external data sources).74% similarVerifiedTool calling allows models to dynamically invoke external functions during inference and incorporate execution results into the context of subsequent reasoning, forming a closed loop of perception, decision-making, and execution.73% similarUnverifiedReAct enables the model to dynamically revise its reasoning path based on tool return results by alternately generating three types of tokens: Thought, Action, and Observation.72% similar
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