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Contact: patreon.com/lwcurated or [perrin dot j dot walker plus lesswrong fnord gmail].
All Solenoid's narration work found here.
Crossposted from AI Lab Watch. Subscribe on Substack.
Introduction.
Anthropic has an unconventional governance mechanism: an independent "Long-Term Benefit Trust" elects some of its board. Anthropic sometimes emphasizes that the Trust is an experiment, but mostly points to it to argue that Anthropic will be able to promote safety and benefit-sharing over profit.[1]
But the Trust's details have not been published and some information Anthropic has shared is concerning. In particular, Anthropic's stockholders can apparently overrule, modify, or abrogate the Trust, and the details are unclear.
Anthropic has not publicly demonstrated that the Trust would be able to actually do anything that stockholders don't like.
The facts
There are three sources of public information on the Trust:
They say there's [...]
The original text contained 2 footnotes which were omitted from this narration.
---
First published:
May 27th, 2024
Source:
https://www.lesswrong.com/posts/sdCcsTt9hRpbX6obP/maybe-anthropic-s-long-term-benefit-trust-is-powerless
---
Narrated by TYPE III AUDIO.
Introduction.
If you are choosing to read this post, you've probably seen the image below depicting all the notifications students received on their phones during one class period. You probably saw it as a retweet of this tweet, or in one of Zvi's posts. Did you find this data plausible, or did you roll to disbelieve? Did you know that the image dates back to at least 2019? Does that fact make you more or less worried about the truth on the ground as of 2024?
Last month, I performed an enhanced replication of this experiment in my high school classes. This was partly because we had a use for it, partly to model scientific thinking, and partly because I was just really curious. Before you scroll past the image, I want to give you a chance to mentally register your predictions. Did my average class match the [...]
---
First published:
May 26th, 2024
Source:
https://www.lesswrong.com/posts/AZCpu3BrCFWuAENEd/notifications-received-in-30-minutes-of-class
---
Narrated by TYPE III AUDIO.
New blog: AI Lab Watch. Subscribe on Substack.
Many AI safety folks think that METR is close to the labs, with ongoing relationships that grant it access to models before they are deployed. This is incorrect. METR (then called ARC Evals) did pre-deployment evaluation for GPT-4 and Claude 2 in the first half of 2023, but it seems to have had no special access since then.[1] Other model evaluators also seem to have little access before deployment.
Frontier AI labs' pre-deployment risk assessment should involve external model evals for dangerous capabilities.[2] External evals can improve a lab's risk assessment and—if the evaluator can publish its results—provide public accountability.
The evaluator should get deeper access than users will get.
The original text contained 5 footnotes which were omitted from this narration.
---
First published:
May 24th, 2024
Source:
https://www.lesswrong.com/posts/WjtnvndbsHxCnFNyc/ai-companies-aren-t-really-using-external-evaluators
---
Narrated by TYPE III AUDIO.
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