oct 7th cartoon for @NewYorker
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❤️‍🔥❤️‍🔥 it's been a pleasure collabing with @AmmannNora over the last 1.5y, so excited for her new role! we'll miss you!!
After two wonderful and rewarding years at @ARIA_research, I’m excited to share that I am joining the @FoundationOAI as Program Director of Formal Methods.
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"Smarter AI will increase productivity, but real economic transformation hinges on agents learning to coordinate." 🤝 Scaling Trust
I joined @GoogleDeepMind to develop a research program on the economics of AGI. Today, together with Andrew Koh (@andrewjkoh) and Shane Legg (@ShaneLegg), we are incredibly excited to release The Economics of Intelligence, the first in a series of projects from our group on how AGI will change the economy. How do capability improvements transform the economy, and when? In this project, we define thresholds of economic capabilities, e.g., minimal AGI, based on how they transform the economy. We then track how the economy–market structure, employment, and wages–changes during the transition across capability regimes. We have seen exponential increases in what AI agents can do but the broader economy seems almost remarkably unchanged. Part of the reason is that the solo AI agent is the wrong economic object; economic transformation is an equilibrium outcome where organizations compete. Looking at how intelligence functions within organizations, transformation will depend on when two key capability thresholds are crossed: competence (gains on individual skills, e.g., coding, math) and coordination (gains on ability of agents to cooperate and work together). We show that what economic transformation looks like depends on whether AI becomes supercompetent, supercooperative, or both—the regime of artificial superintelligence (ASI). Tracking this transition shows why the real visible transformation may come from improvements in coordination—a capability most benchmarks don’t yet track. Past a certain threshold, AI capabilities can break the Coasian ceiling on firm size and lead to an economy that looks drastically different than the one we see today. Two main takeaways: 1. To understand the path of transformation, we should be tracking agentic coordination more closely. 2. The impact of AI will likely show up in wages before market structure or employment. We are really excited about this paper. Excited to hear people’s thoughts. Link: institute.deepmind.com/essay…
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inspired by the recent website updates i'm seeing on here, i've now updated my website as well -- alexobadia.com ✨
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there is a lil easter egg in there, let me know if you find it ;)
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More London AO Summit speakers! + @ChengxiTaylor of @GenReasoning on the first autonomous company model + @yalidux on safe cooperative AI + @brulepri on systemic risk in AI collectives Nov 5–6, hosted by AO Commons and @ARIA_research Apply to attend: luma.com/j1lmnrxk
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what's the best resource/who are the best thinkers on what it's like to found a startup in the age of AI? new thinkings on moat, defensibility, competitive advantages, strategic landscapes, organizational theory etc
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people be liking but very few replies so far :p
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5 days left to apply for £300k-3m of grant funding for our next rolling solicitation! join this map! scalingtrust.org.uk
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someone answered privately: I don’t really think there is anything useful. Every company is so different (eg model vs app vs model infra) and things are so dynamic. Best practices are basically to just hold on
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many have said already but the latest @WorksInProgMag is lovely! been a while since I’ve read a physical magazine, thank you!
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Introducing Reinforcement Learning from Collective Rewards (RLCR). RLCR is a recipe that trains language models as agent organisations, which share a message board and workspace. We use it to train Avalon-M1-Mini (120B) and study its behaviour. We find a number of interesting results, including: 🛠️ Learnt organisational hierarchies and divisions of labour 🕵️ Increased collective verification, through hires of verifiers and testers 👥 The rise of collective thinking, where agents think more about other agents and how to help them We believe RLCR can provide a laboratory for studying collective intelligence and multi-agent safety. Blog post and technical report 👇
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Excited for this!
The London AO Summit lineup just got bigger 🧵 Speakers from @GoogleDeepMind, @BritishProgress, @ARIA_research, @nyushanghai, @protocollabs on the law, security, economics and governance of autonomous organizations. Nov 5–6, co-hosted with ARIA's Scaling Trust programme 🌟
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RT @sreeramkannan: 🧬 Virtual Embryo x Yukon 🧬 Open Collaborative Model Building yukon.org/virtualembryo Yukon connects the world's leadi…
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citriniresearch.com/p/citrin… cool read from @citrini, some things noted: - the fact they've had to go to Anthropic offices to do this bc of guardrails - working with Claude on a 35-page prompt before getting started - 64 hours to design, 39 days to receive the first results - at $39m per gallon, scorpion venom is the most expensive liquid in the world! ty @iamnotnicola for sharing link!
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Replying to @citrini
i'd be interested in write-ups/thoughts all on all three first points: - future of science/progress if this becomes increasingly status quo, the counter would be that less powerful open models can do great things à la arxiv.org/abs/2609.31562 cc @sebkrier - more details on the art of co-designing very long prompts, i've done it a few times at small scale, and i've worked in /plan mode often, but have rarely worked on a 35 page plan for eg. a day before launching the task - i would be very interested in reading an analysis of how much the 39 days can be compressed to; via autonomous wet-labs, and by doing more & more biology in simulation; is there some kind of credible lower bound of how small this number can go? and are there universal bottlenecks?
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lovely chat
My full fireside conversation with @patrickc at the Science: A New Golden Age Summit. We discussed building new institutions for discovery, accelerating scientific progress, and how America can move faster on the hardest scientific challenges.
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not alzheimer's but OncologyBench: nitter.siddz.com/kenbwork/status/211007… shoutout @iamnotnicola for sharing
alzheimer's eval wen
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