EdgeBench
EdgeBench is EdgeBench studies how agents learn from real-world environments across 134 day-long executable tasks.. It is ranked #6448 on the AI Radar, in AI agents, first seen 31 days ago and shared in 1 post (202 views).
EdgeBench | Scaling Laws of Environment Learning EdgeBench EdgeBench Unveiling scaling laws of learning from real-world environments. ByteDance Seed July 2, 2026 Paper GitHub Dataset Share An ultra-long-horizon benchmark built to measure learning from environments Most benchmarks score what a model already knows. EdgeBench is built to measure something else. It asks how an agent learns from a real-world environment when it is given the time, the feedback, and the room to improve. First benchmark to measure real-world environment learning Every workspace, feedback signal, and judge approximates real practice, so a high score reflects what an…
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EdgeBench in numbers
- Rank on the AI Radar: #6448 of 10402
- Shared in 1 post by 1 account: @LucasSmaira
- 202 views on those posts
- First seen 31 days ago, last shared 31 days ago
- Pricing seen by AGK Intelligence: not stated
- Market: AI agents
FAQ
What is EdgeBench?
EdgeBench studies how agents learn from real-world environments across 134 day-long executable tasks. It was first shared on X 31 days ago and is ranked #6448 on the AI Radar.
Is EdgeBench free?
Pricing is not stated on the page we read.
Who shared EdgeBench?
1 account on X, including @LucasSmaira, in 1 post totalling 202 views.
Every post is read and classified by AGK Intelligence: what it is, which market it belongs to, and whether the link is a real tool. 65.6k posts from 5k X accounts over the last 14 days, 10.4k tools, 19 markets. New posts are collected several times an hour and the full ranking is recomputed every hour — last update 2026-11-06 15:10 UTC. Full method.