Elasticity retweeted
This week on The Context Window: a practical guide to recursive-self improvement (R.S.I.) - part one.
youtu.be/NeuYfsIams8
Elasticity retweeted
Check out our RSI data transparency tracker!
Current scores: OAI (2/8), Ant (1.5/8), GDM (0.5/8)
Hoping the labs will hill-climb this as fast as they have every other benchmark :)
This is based on our recent econ of RSI paper @ElasticityInst 1/2
Check out Elasticity Institute's new executive summary, "How to Measure RSI." ⬇️
We are excited to welcome Anna Yelizarova (@yelizarovanna) and Olivia Benoit as advisors to the Elasticity Institute!
We are thrilled to have their expertise as we grow Elasticity to include more research and seminars on the economics of AI.
Really nice to see this game building on a recent paper from our institute about how to measure recursive self-improvement!
understanding progress on RSI is one of the most important things we can do to chart the future.
@danrobinson and I made a game and explorer based on economic models of AI research, to make the inputs and constraints that define RSI more intuitive.
paradigm.xyz/research/rsi/?v…
Excited to share Elasticity’s first note: The Economics of Recursive Self-Improvement, by @testingham (lead author), @andrewjkoh, @arjun_ramani3, @BasilHalperin, @brian_jabarian, @cherylwoooo, @AlthoffLukas, @whitfill_parker, and @pawtrammell.
Elasticity will continue to produce rigorous economic research on the most important questions raised by advances in AI.
Very happy to share the first paper from @ElasticityInst: The Economics of Recursive Self-Improvement. Two parts:
(1) a graphical representation of feedback loops, to formalize a variety of RSI-related arguments, where each arrow represents responsiveness (elasticity);
(2) a survey of existing evidence with a loose calibration & a “wish list” of evidence that would help us calibrate better.
We’re grateful to @METR_Evals and @ConstellOrg for supporting Elasticity’s first meetings.