This post was originally intended to come out directly after the UK AI Safety Summit, to give the topic its own deserved focus. One thing led to another, and I am only doubling back to it now.

Responsible Deployment Policies

At the AI Safety Summit, all the major Western players were asked: What are your company policies on how to keep us safe? What are your responsible deployment policies (RDPs)? Except that they call them Responsible Scaling Policies (RSPs) instead.

I deliberately say deployment rather than scaling. No one has shown what I would consider close to a responsible scaling policy in terms of what models they are willing to scale and train.

Anthropic at least does however seem to have something approaching a future responsible deployment policy, in terms of how to give people access to a model if we assume it is safe for [...]

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Outline:

(00:17) Responsible Deployment Policies

(03:15) How the UK Graded the Responses

(04:22) Anthropic's Policies

(05:27) The Risks

(10:42) The Promise of a Pause

(13:58) ASL-3 Definitions and Commitments

(18:16) Approaching Thresholds

(24:38) ASL-4

(27:26) Underspecification

(29:06) Takeaways from Anthropic's RSP

(35:30) Others React

(38:30) A Failure to Communicate

(39:47) OpenAI Policies

(41:56) DeepMind Policies

(45:53) Amazon, Inflection and Meta

(47:53) Some Additional Relative Rankings

(48:57) Important Clarification from Dario Amodei

(55:07) Strategic Thoughts on Such Policies

(01:05:37) Conclusion

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First published:

Source:

Narrated by TYPE III AUDIO.