Over the past few months I've been working on a very exciting project: a new $10m fund for research on multi-agent multi-principal AGI safety! Instead of focusing on single agent alignment and centralized control, we're looking to support research focusing on multi-agent settings, mechanism design, cooperative AI, and coordination problems.
This is a joint initiative between @GoogleDeepMind, @Googleorg, @schmidtsciences, @coop_ai, and @ARIA_research. Huge thanks to @James_D_Fox, @weballergy, @FranklinMatija, @lrhammond, and @ObadiaAlex for their invaluable work!
See: https://t.co/L5351OpPqH
Apply: https://t.co/a1uJLJnfYw
By 2030, I predict that all AI outputs could be up to 70% in italics, due to the growth rate of sheer self-referential meta-profundity contained in every inference.
Italicisation is currently one of the only known safe methods of mitigating risks such as generalised pomposity and recursive self-referencing.
"That's a really powerful move, it's load-bearing and it's doing real work - this is where your argument lives and it earns its place"
- Opus 4.8 in a conversation about nuclear proliferation
"That's a really powerful move, it's load-bearing and it's doing real work - this is where your argument lives and it earns its place"
- Opus 4.8 in a conversation about cheese on toast
@Discoplomacy Other factors too no doubt but I think they mainly do it because it clearly works and doing it regularly acts as the guarantor of their pay and conditions.
(RMT are on strike not TfL. I personally think TfL is quite good all things considered.)
London public transport is institutionally set up (single, politically sensitive, public sector employer in TfL) in a way that clearly incentivises old fashioned industrial relations.
And striking has pretty reliably worked as a way of ensuring tube staff are paid well and looked after - maybe the only example of such power left?
My team (Frontier Strategy & Governance) at Google DeepMind is hiring.
We are bringing on researchers to lead our strategic analysis on frontier AI. Our mission is to provide rigorous foresight and actionable insights to help the world prepare for advanced AI.
We focus on concrete, longer-horizon challenges that fall outside the ordinary course of business: forecasting technical breakthroughs, anticipating geopolitical dynamics, contributing to the development of international safety standards, and planning scientific moonshots.
We also publish external research and convene experts. Recent public work covers lessons from historical technological revolutions, forecasting frameworks for frontier AI, Cooperative AI, and the limits of model-level governance. This builds on our team's track record of co-creating the Frontier Model Forum, the Frontier Safety Framework, and the AGI Safety Council.
We are seeking candidates with deep expertise in domains such as AI governance, international security, political economy, compute governance, forecasting, and institutional design. You will need the analytical skill to translate complex technical and political trends into internal briefings, external publications, and company initiatives. Experience briefing executive leadership is highly valued.
London is preferred, with hubs in NYC and the Bay Area. We are targeting mid-career and senior researchers, though exceptional early-career applicants are considered.
Apply here: https://t.co/J2LINpDpvH
Start a company in AI for Science.
The Encode: AI for Science fellowship offers a year of freedom to build what matters -- salary, 100k GBP of compute, and partnership with the top scientists in the UK.
No equity or fees, it's a fully funded fellowship!
Apply by March 28
really great @britishprogress opp here
could be a great fit for anyone in partnerships / sales / BD keen to work on accelerating UK growth & dynamism
£60-65k
happy to chat if any Qs