Allan Dafoe
@AllanDafoe
AGI governance: navigating the transition to beneficial AGI (Google DeepMind)
We updated our framework to include a section addressing deceptive alignment/loss of control risks. There's much more work to be done in understanding and building out an approach to these risks that scales to AGI and beyond: please consider joining our team! Link in the comment.
As we make progress towards AGI, developing AI needs to be both innovative and safe. ⚖️ To help ensure this, we’ve made updates to our Frontier Safety Framework - our set of protocols to help us stay ahead of possible severe risks. Find out more → goo.gle/42IuIVf
Insightful analysis of the implications of inference scaling for AI/AGI governance. A must read.
New paper: Inference Scaling Reshapes AI Governance The shift from scaling up the pre-training compute of AI systems to scaling up their inference compute may have profound effects on AI governance. 🧵 1/
Thanks Rob for a great conversation about important topics: why technology drives history, and the rare opportunity of steering it.
My ep w @AllanDafoe (director of frontier safety & governance at DeepMind): "Tech doesn't force us to do anything, it merely opens the door – and it's military-economic competition that forces us through." (32:25) "We're not at peak returns to generality." (1:38:06) "The…
We're hiring for our Google DeepMind AGI Safety & Alignment and Gemini Safety teams. Locations: London, NYC, Mountain View, SF. Join us to help build safe AGI. Research Engineer boards.greenhouse.io/deepmind/jobs/…… Research Scientist boards.greenhouse.io/deepmind/jobs/…
Valued talking about our Frontier Safety Framework on the Responsible AI for Peace and Security Podcast. Thanks @BoulaninSIPRI open.spotify.com/show/2gWre8ogZ…
Wonderful to see the benefits of AI for science being recognized with a(nother) Nobel! Congrats to Demis, John, David, and to all working to unlock AI for science.
BREAKING NEWS The Royal Swedish Academy of Sciences has decided to award the 2024 #NobelPrize in Chemistry with one half to David Baker “for computational protein design” and the other half jointly to Demis Hassabis and John M. Jumper “for protein structure prediction.”