← 최신 프로덕트

ACE

A dynamic benchmark measuring the cost to break AI agents. We introduce Adversarial Cost to Exploit (ACE), measuring the token expenditure an adversary must invest to breach an LLM agent. Six budget-tier models show an order-of-magnitude variance in adversarial cost. We built Adversarial Cost to Exploit (ACE), a benchmark that measures the token expenditure an autonomous adversary must invest to breach an LLM agent.

fabraix.com 방문외부 사이트

반응 (1)

비슷한 프로덕트

설명이 비슷한 순

  1. DeepSeek Flash inverted the economics of agent products

    rtrvr.ai

    There is an adversarial relationship between developers and big model labs.

    Hacker News9점

  2. Limits

    limits.dev

    Control layer for AI agents that take real actions

    Hacker News9점

  3. Costco for LLM Tokens

    inference.net

    Inference infrastructure for AI-native teams. Run, monitor, and optimize production AI workloads with lower cost, faster latency, and dedicated support from Inference.net.

    Hacker News6점

  4. InfiniteGPU

    github.com

    An open-source AI compute network,now supporting training

    Hacker News5점

  5. TraceMem

    tracemem.com

    A trace-native memory layer for AI agent decisions

    Hacker News15점