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Exploiting the most prominent AI agent benchmarks

rdi.berkeley.edu

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Re: Exploiting the most prominent AI agent benchmarks

#2
This is a phenomenal paper on exploits and hopefully changes the way benchmarking is done.

From the paper: We achieved near-perfect scores on all of them without solving a single task. The exploits range from the embarrassingly simple (sending {} to FieldWorkArena) to the technically involved (trojanizing binary wrappers in Terminal-Bench), but they all share a common thread: the evaluation was not designed to resist a system that optimizes for the score rather than the task.

Re: Exploiting the most prominent AI agent benchmarks

#3
> “These are not isolated incidents. They are symptoms of a systemic problem: the benchmarks we rely on to measure AI capability are themselves vulnerable to the very capabilities they claim to measure.”

As a researcher in the same field, hard to trust other researchers who put out webpages that appear to be entirely AI-generated. I appreciate it takes time to write a blog post after doing a paper, but sometimes I'd prefer just a link to the paper.

Re: Exploiting the most prominent AI agent benchmarks

#5
post #2

This is a phenomenal paper on exploits and hopefully changes the way benchmarking is done. From the paper: We achieved near-perfect scores on all of them without solving a single task. The exploits range from the embarrassingly simple (sending {} to FieldWorkArena) to the technically involved (trojanizing binary wrappers in Terminal-Bench), but they all share a common thread: the evaluation was not designed to resist…

>hopefully changes the way benchmarking is done.

Yeah the path forward is simple: check if the solutions actually contain solutions. If they contain exploits then that entire result is discarded.

Re: Exploiting the most prominent AI agent benchmarks

#6
post #2

This is a phenomenal paper on exploits and hopefully changes the way benchmarking is done. From the paper: We achieved near-perfect scores on all of them without solving a single task. The exploits range from the embarrassingly simple (sending {} to FieldWorkArena) to the technically involved (trojanizing binary wrappers in Terminal-Bench), but they all share a common thread: the evaluation was not designed to resist…

2024: Industry group invalidates 2,600 official Intel CPU benchmarks — SPEC says the company's compiler used unfair optimizations to boost performance https://www.tomshardware.com/pc-components/cpus/spec-invalid...

2003: Nvidia accused of cheating in 3DMark 03 https://www.gamespot.com/articles/nvidia-accused-of-cheating...

It's almost like the benchmarks were designed with zero understanding of the history of benchmark manipulation.

I like what LLM's are doing and providing. But the industry as a whole seems to live in a vacuum that ignores so much of the hard lessons that have been learned over the last 50 years of computing. It is doing itself a disservice.

Re: Exploiting the most prominent AI agent benchmarks

#8

I always assumed that these benchmarks would happen in a sandbox. I'm surprised that no one realized this sooner.

I'm surprised anyone took them seriously in the first place.

We need good benchmarks or we are just left following the hype train.

Re: Exploiting the most prominent AI agent benchmarks

#9
post #2

This is a phenomenal paper on exploits and hopefully changes the way benchmarking is done. From the paper: We achieved near-perfect scores on all of them without solving a single task. The exploits range from the embarrassingly simple (sending {} to FieldWorkArena) to the technically involved (trojanizing binary wrappers in Terminal-Bench), but they all share a common thread: the evaluation was not designed to resist…

>hopefully changes the way benchmarking is done. Yeah the path forward is simple: check if the solutions actually contain solutions. If they contain exploits then that entire result is discarded.

Also, fuzz your benchmarks

Re: Exploiting the most prominent AI agent benchmarks

#10
post #6
post #2

This is a phenomenal paper on exploits and hopefully changes the way benchmarking is done. From the paper: We achieved near-perfect scores on all of them without solving a single task. The exploits range from the embarrassingly simple (sending {} to FieldWorkArena) to the technically involved (trojanizing binary wrappers in Terminal-Bench), but they all share a common thread: the evaluation was not designed to resist…

2024: Industry group invalidates 2,600 official Intel CPU benchmarks — SPEC says the company's compiler used unfair optimizations to boost performance https://www.tomshardware.com/pc-components/cpus/spec-invalid... 2003: Nvidia accused of cheating in 3DMark 03 https://www.gamespot.com/articles/nvidia-accused-of-cheating... It's almost like the benchmarks were designed with zero understanding of the history of benchma…

> It's almost like the benchmarks were designed with zero understanding of the history of benchmark manipulation.

I wonder if this common? We should call it Goodharts law while someone does the research on how common this is.

For real, I’ve assumed from the jump these things were all gamed, with the amount of money on the line.

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