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Samuel Müller

@SamuelMullr

LLM Post-Training at Datadog, before that made (Tab)PFNs. Opinions are my own. (he/him)
NYC samuelgabriel.github.io Joined February 2020
442 Following 1.7K Followers 494 Posts

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Samuel Müller @SamuelMullr
Wait, this should be really good. Why is this filled with logical fallacies? We need good research on this.

Here is three fallacies I see on my first read
Alex Imas Verified account @alexolegimas Oct 29
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/essays/the-eco…
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Samuel Müller @SamuelMullr
Where the dogs at??? Let’s discuss building AI that will fix ALL bugs at the Datadog social in Rio
Ameet Talwalkar Verified account @atalwalkar Apr 14
Heading to @iclr_conf next week? Datadog AI Research is hosting an event along with the ICLR SPOT workshop organizers. Join us to meet our team and learn about our work on observability world models + agentic post-training!
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