Unverified50% confidenceOpinionExact time
As large models and Agent capabilities improve, producing a working demo or implementing a certain feature is becoming increasingly fast.
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
9/24/2026
First Seen
Valid until: 12/23/2026
Sources
Related Entities
Related Claims
UnverifiedAs model capabilities continue to improve, Agents can run for longer periods and handle more complex tasks, but token consumption also increases when the direction is wrong.75% similarUnverifiedThe essence of an agent is to utilize the capabilities of large language models more fully and at higher frequency.71% similarUnverifiedIn terms of Agent strategy selection, empirical testing shows that ReAct is more stable than Function Calling, especially with stronger fault tolerance in complex multi-step, multi-tool collaborative tasks.71% similarUnverifiedWhen the total number of Agent skills is only in the tens, having the model judge directly is simpler and more accurate than a two-stage architecture; the two-stage approach is designed for large-scale scenarios.70% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/946461API
curl https://kongchang.com/api/v1/knowledge/claims/946461MCP
get_claim(id=946461)