Observations on AI and how it may change society, the likely uneven impact of AGI, which could mess up the balance of power between capital and labor, and more
Our mission is to ensure that AGI (Artificial General Intelligence) benefits all of humanity.
Sam Altman
Context & Ripple Effects
OpenAI had already said it was preparing for a successful creation of AGI with existential-risk caution in its earlier AGI-preparedness outline. This article extends that conversation from safety to political economy: who captures the gains and who absorbs disruption.
The concern also sits alongside competing visions of powerful AI’s broad economic and scientific upside, including a prior case for transformative benefits across work and development. The unresolved issue is whether those benefits are distributed widely enough to offset concentrated bargaining power.
First-order effects
The article puts the capital-versus-labor distribution question at the center of AGI debate, rather than treating capability progress as a benefit shared automatically across society.
Workers and groups with less economic or political leverage become the focal constituency in arguments over how AGI’s gains, access, and disruptions should be governed.
Second-order effects
AI developers, employers, and policymakers face greater pressure to pair claims of societal benefit with credible answers on job displacement, bargaining power, and access to productivity gains.
The debate shifts competitive differentiation beyond model capability toward governance and deployment choices, especially as concerns about a potentially permanent underclass from AI disruption enter the surrounding coverage.
Third-order effects
If advanced AI continues to be deployed through capital-intensive platforms, AGI policy may increasingly turn on ownership, access, and distribution—not only technical safety.
The larger structural question is whether AI industrialization broadens productive capacity across the economy or reinforces the leverage of firms controlling models and infrastructure.
The trend: AGI discourse is widening from whether powerful systems can be built safely to whether their economic gains will be shared without deepening existing power imbalances.
I don't understand. There's no way to measure the “intelligence” of a model. You can (sort of) measure how well and how fast it solves problems, and sort of assess ability to reason. Are these things “intelligence”? And...what is “the log of the resources”? blog.samaltman.com…
“Anyone in 2035 should be able to *marshall* the intellectual capacity equivalent to everyone in 2025” — Read this as “marshal” (to bring together and order effectively), not “marshall” — Everyone needs an editor, especially Sam Altman. Glad he blogs though — blog.samaltma…
Interesting to read Altman's ‘Three Observations’ that (of course) espouse the benefits of AGI. — But here again is this deeply flawed “[we'll] have much more time” argument at the centre of so much AI optimism. So... once AI can do your job better that you, your boss is going…
New Sam Altman blog post with a couple of things that stood out to me. One is the idea of how in 2035 everyone might be more impactful than anyone today via AI. Two is that he's now talking about 2025 the way he used to talk about a future with AGI, when things won't change as [i…
We are very lucky that for now that frontier AI models are very smart toasters instead of Skynet (personally I hope it stays that way) This means *agency* is now the most important trait to teach our kids and will be a mega multiplier on any given person's life outcome [image]
Thoughts on this post: 1) It echoes what we have been hearing from multiple labs about the confidence of scaling up to AGI quickly 2) There is no clear vision of what that world looks like 3) The labs are placing the burden on policymakers to decide what to do with what they make…
Three Observations [on AGI*] https://blog.samaltman.com/... “*By using the term AGI here, we aim to communicate clearly, and we do not intend to alter or interpret the definitions and processes that define our relationship with Microsoft. We fully expect to be partnered with Micr…
“AI will seep into all areas of the economy and society; we will expect everything to be smart.” Yes sir. It is why I built my lists of 26,000 in AI and 6,000 companies. Gives me a front-row seat on the huge changes that are hitting everyone. Following lists makes your feed