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34 - AI Evaluations with Beth Barnes

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Manage episode 431050436 series 2844728
Inhalt bereitgestellt von Daniel Filan. Alle Podcast-Inhalte, einschließlich Episoden, Grafiken und Podcast-Beschreibungen, werden direkt von Daniel Filan oder seinem Podcast-Plattformpartner hochgeladen und bereitgestellt. Wenn Sie glauben, dass jemand Ihr urheberrechtlich geschütztes Werk ohne Ihre Erlaubnis nutzt, können Sie dem hier beschriebenen Verfahren folgen https://de.player.fm/legal.

How can we figure out if AIs are capable enough to pose a threat to humans? When should we make a big effort to mitigate risks of catastrophic AI misbehaviour? In this episode, I chat with Beth Barnes, founder of and head of research at METR, about these questions and more.

Patreon: patreon.com/axrpodcast

Ko-fi: ko-fi.com/axrpodcast

The transcript: https://axrp.net/episode/2024/07/28/episode-34-ai-evaluations-beth-barnes.html

Topics we discuss, and timestamps:

0:00:37 - What is METR?

0:02:44 - What is an "eval"?

0:14:42 - How good are evals?

0:37:25 - Are models showing their full capabilities?

0:53:25 - Evaluating alignment

1:01:38 - Existential safety methodology

1:12:13 - Threat models and capability buffers

1:38:25 - METR's policy work

1:48:19 - METR's relationships with labs

2:04:12 - Related research

2:10:02 - Roles at METR, and following METR's work

Links for METR:

METR: https://metr.org

METR Task Development Guide - Bounty: https://taskdev.metr.org/bounty/

METR - Hiring: https://metr.org/hiring

Autonomy evaluation resources: https://metr.org/blog/2024-03-13-autonomy-evaluation-resources/

Other links:

Update on ARC's recent eval efforts (contains GPT-4 taskrabbit captcha story) https://metr.org/blog/2023-03-18-update-on-recent-evals/

Password-locked models: a stress case for capabilities evaluation: https://www.alignmentforum.org/posts/rZs6ddqNnW8LXuJqA/password-locked-models-a-stress-case-for-capabilities

Sleeper Agents: Training Deceptive LLMs that Persist Through Safety Training: https://arxiv.org/abs/2401.05566

Untrusted smart models and trusted dumb models: https://www.alignmentforum.org/posts/LhxHcASQwpNa3mRNk/untrusted-smart-models-and-trusted-dumb-models

AI companies aren't really using external evaluators: https://www.lesswrong.com/posts/WjtnvndbsHxCnFNyc/ai-companies-aren-t-really-using-external-evaluators

Nobody Knows How to Safety-Test AI (Time): https://time.com/6958868/artificial-intelligence-safety-evaluations-risks/

ChatGPT can talk, but OpenAI employees sure can’t: https://www.vox.com/future-perfect/2024/5/17/24158478/openai-departures-sam-altman-employees-chatgpt-release

Leaked OpenAI documents reveal aggressive tactics toward former employees: https://www.vox.com/future-perfect/351132/openai-vested-equity-nda-sam-altman-documents-employees

Beth on her non-disparagement agreement with OpenAI: https://www.lesswrong.com/posts/yRWv5kkDD4YhzwRLq/non-disparagement-canaries-for-openai?commentId=MrJF3tWiKYMtJepgX

Sam Altman's statement on OpenAI equity: https://x.com/sama/status/1791936857594581428

Episode art by Hamish Doodles: hamishdoodles.com

  continue reading

39 Episoden

Artwork
iconTeilen
 
Manage episode 431050436 series 2844728
Inhalt bereitgestellt von Daniel Filan. Alle Podcast-Inhalte, einschließlich Episoden, Grafiken und Podcast-Beschreibungen, werden direkt von Daniel Filan oder seinem Podcast-Plattformpartner hochgeladen und bereitgestellt. Wenn Sie glauben, dass jemand Ihr urheberrechtlich geschütztes Werk ohne Ihre Erlaubnis nutzt, können Sie dem hier beschriebenen Verfahren folgen https://de.player.fm/legal.

How can we figure out if AIs are capable enough to pose a threat to humans? When should we make a big effort to mitigate risks of catastrophic AI misbehaviour? In this episode, I chat with Beth Barnes, founder of and head of research at METR, about these questions and more.

Patreon: patreon.com/axrpodcast

Ko-fi: ko-fi.com/axrpodcast

The transcript: https://axrp.net/episode/2024/07/28/episode-34-ai-evaluations-beth-barnes.html

Topics we discuss, and timestamps:

0:00:37 - What is METR?

0:02:44 - What is an "eval"?

0:14:42 - How good are evals?

0:37:25 - Are models showing their full capabilities?

0:53:25 - Evaluating alignment

1:01:38 - Existential safety methodology

1:12:13 - Threat models and capability buffers

1:38:25 - METR's policy work

1:48:19 - METR's relationships with labs

2:04:12 - Related research

2:10:02 - Roles at METR, and following METR's work

Links for METR:

METR: https://metr.org

METR Task Development Guide - Bounty: https://taskdev.metr.org/bounty/

METR - Hiring: https://metr.org/hiring

Autonomy evaluation resources: https://metr.org/blog/2024-03-13-autonomy-evaluation-resources/

Other links:

Update on ARC's recent eval efforts (contains GPT-4 taskrabbit captcha story) https://metr.org/blog/2023-03-18-update-on-recent-evals/

Password-locked models: a stress case for capabilities evaluation: https://www.alignmentforum.org/posts/rZs6ddqNnW8LXuJqA/password-locked-models-a-stress-case-for-capabilities

Sleeper Agents: Training Deceptive LLMs that Persist Through Safety Training: https://arxiv.org/abs/2401.05566

Untrusted smart models and trusted dumb models: https://www.alignmentforum.org/posts/LhxHcASQwpNa3mRNk/untrusted-smart-models-and-trusted-dumb-models

AI companies aren't really using external evaluators: https://www.lesswrong.com/posts/WjtnvndbsHxCnFNyc/ai-companies-aren-t-really-using-external-evaluators

Nobody Knows How to Safety-Test AI (Time): https://time.com/6958868/artificial-intelligence-safety-evaluations-risks/

ChatGPT can talk, but OpenAI employees sure can’t: https://www.vox.com/future-perfect/2024/5/17/24158478/openai-departures-sam-altman-employees-chatgpt-release

Leaked OpenAI documents reveal aggressive tactics toward former employees: https://www.vox.com/future-perfect/351132/openai-vested-equity-nda-sam-altman-documents-employees

Beth on her non-disparagement agreement with OpenAI: https://www.lesswrong.com/posts/yRWv5kkDD4YhzwRLq/non-disparagement-canaries-for-openai?commentId=MrJF3tWiKYMtJepgX

Sam Altman's statement on OpenAI equity: https://x.com/sama/status/1791936857594581428

Episode art by Hamish Doodles: hamishdoodles.com

  continue reading

39 Episoden

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