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Can Your AI Actually Use a Computer? A 2025 Map of Computer‑Use Benchmarks
Manage episode 523821497 series 3474148
This story was originally published on HackerNoon at: https://hackernoon.com/can-your-ai-actually-use-a-computer-a-2025-map-of-computeruse-benchmarks.
A 2025 map of computer use agent benchmarks, from ScreenSpot to Mind2Web, REAL, OSWorld and CUB, and how harness design now rivals model quality.
Check more stories related to machine-learning at: https://hackernoon.com/c/machine-learning. You can also check exclusive content about #ai, #reinforcement-learning, #compuer-use-agent, #ai-agent, #agi, #ai-benchmarks, #llm-evals, #hackernoon-top-story, and more.
This story was written by: @ashtonchew12. Learn more about this writer by checking @ashtonchew12's about page, and for more stories, please visit hackernoon.com.
This article maps today’s computer use benchmarks across three layers (UI grounding, web agents, full OS use), shows how a few anchors like ScreenSpot, Mind2Web, REAL, OSWorld and CUB are emerging, explains why scaffolding and harnesses often drive more gains than model size, and gives practical guidance on which evals to use if you are building GUI models, web agents, or full computer use agents.
476 에피소드
Manage episode 523821497 series 3474148
This story was originally published on HackerNoon at: https://hackernoon.com/can-your-ai-actually-use-a-computer-a-2025-map-of-computeruse-benchmarks.
A 2025 map of computer use agent benchmarks, from ScreenSpot to Mind2Web, REAL, OSWorld and CUB, and how harness design now rivals model quality.
Check more stories related to machine-learning at: https://hackernoon.com/c/machine-learning. You can also check exclusive content about #ai, #reinforcement-learning, #compuer-use-agent, #ai-agent, #agi, #ai-benchmarks, #llm-evals, #hackernoon-top-story, and more.
This story was written by: @ashtonchew12. Learn more about this writer by checking @ashtonchew12's about page, and for more stories, please visit hackernoon.com.
This article maps today’s computer use benchmarks across three layers (UI grounding, web agents, full OS use), shows how a few anchors like ScreenSpot, Mind2Web, REAL, OSWorld and CUB are emerging, explains why scaffolding and harnesses often drive more gains than model size, and gives practical guidance on which evals to use if you are building GUI models, web agents, or full computer use agents.
476 에피소드
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