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Chief scientist at Redwood Research, where he works on technical AI safety and AI control.

From one piece Ryan Greenblatt – What happens once AI can automate AI research? 2 beliefs, in the piece's order there

• Our readingkorrents.com

  A world in which all the labour is perfectly obedient fiduciary AI is dangerous, because society depends on subordinates who sometimes refuse.

  Their words

  I think that if you imagine this spectrum, it seems in some ways pretty scary to get to a point where like all of the labor is on the like fiduciary side of the spectrum where like it doesn't whistleblow, it does exactly what you say and whatever like our society is maybe just not robust to that

  youtube.com

• Our readingkorrents.com

  Today's RL environments are better than 2024's because we learned what to build and put AI labour on building it, not because labs hired more human experts.

  Their words

  the reason why RL environments today are much better than they were in like you know 2024 is not that much because um we have hired way more human experts to make RL environments and is instead much more because we better know what how RL like what RL environments we even want to make and and like how we should structure them and also we're using huge amounts of AI labor to build RL environments.

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Writer and consultant on formal methods and software correctness; author of Practical TLA+ and Logic for Programmers.

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  Software is the only field of human labour with practitioner conferences and freely shared knowledge; every other field has only academic conferences and trade shows.

  open source

  Their words

  Software is kind of unique in having the third kind of the practitioner conference where we are just meeting to get better at what we do. We also are really the only kind to really focus heavily on like open source in making our knowledge freely available.

  Formal methods with Hillel Wayneyoutube.com

Economist at Oxford's Global Priorities Institute; works on what advanced AI would do to growth, saving and the long-run economy.

From one piece The better AI gets, the smaller its share of the economy might get – Alex Imas and Phil Trammell 2 beliefs, in the piece's order there

• Our readingkorrents.com

  Automating everything except the ballerina need not raise labour's share, because the marginal value of the automated stuff falls faster than its quantity rises.

  Their words

  then the quantity of everything that's not a ballerina, say, goes to infinity, but our the marginal utility in that stuff goes to zero faster than the quantity is rising.

  youtube.com

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  Nothing has yet been completely automated: look down the supply chain behind any machine and labour is still adding a great deal of the value.

  Their words

  there's a sense in which nothing's yet been completely automated. If you look at the network-adjusted factor shares of a good, which is to say you look down the supply chain and say not just like the final step, but how much of that is done by capital and labor, but what went into the machines that can automate that final step. You'll find that labor's adding a lot of value down the supply chain.

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Behavioural economist at Chicago Booth, professor of behavioural science and economics and director of AGI economics at Google DeepMind.

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  Individual economists' forecasts about AI and the labour market are close to worthless, and aggregated forecasts from prediction markets should replace them.

  AI and jobseconomists

  Their words

  rather than thinking about individual forecasts like what me and Phil are going to do, rather looking at kind of like basically generating prediction markets, where you get aggregate forecasts, where you get like kind of wisdom of the crowd effects. And kind of the reason that I think this is because we have been famously terrible at forecasting.

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Co-founder and CEO of Anthropic; previously VP of research at OpenAI.

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  If AI permanently drives down demand for labour, long-term income support for a significant fraction of the workforce will likely become necessary.

  Their words

  If AI-driven labor displacement ends up being large in magnitude and permanently drives down the demand for labor, it will likely be necessary to go beyond mere incentive programs to long-term income support for a significant fraction of the labor force.

  Policy on the AI Exponential (June 2026)darioamodei.com

Uber's first Chief Technology Officer, from 2013 to 2020; later CTO of Coupang and of Faire.

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  Engineering offices abroad should be opened where world-class talent already lives, not where labour is cheap — you bring the work to the talent rather than moving the talent.

  Their words

  We didn't go to other places because of cost savings like that. We go there because we have need and we have world class talent

  Scaling Uber with Thuan Pham (Uber's first CTO)youtube.com

Founder and chief analyst of SemiAnalysis; reports on semiconductor supply chains, AI datacentre economics and what the chip export controls actually do.

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  Labour is a huge constraint on the AI build-out, and the way round it is to build data centres as modules in Asian factories rather than on site.

  data centers

  Their words

  um humanoid robots maybe start to or robotics at least start to but the main factor is going to be for reducing the number of people is modularizing things and making them in factories in Asia

  youtube.com

Writer and academic, author of The Cult of Smart and How Elites Ate the Social Justice Movement; writes a daily newsletter on politics, education and culture.

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  The educational crisis narrative is downstream of the labour market: we destroyed the jobs that did not need a degree and then ordered schools to make everybody degree-ready.

  AI and jobs

  Their words

  Everybody thinks our schools are in crisis all the time because they’re being forced to do something they were never meant to do, which is to make everyone college-ready, and they’re being forced to do that because we have seen jobs that provide a living wage without a college diploma evaporate.

  freddiedeboer.substack.com

Engineer writing about the physical economy — oil and gas, manufacturing, batteries, drones and what it costs to build things.

From one piece Speed Can Reindustrialize America 2 beliefs, in the piece's order there

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  An industrial robot does not replace labour, it shifts labour from hourly workers to scarce skilled ones.

  Their words

  The key is that robot arms are not labor-replacing, but labor-shifting.

  Speed Can Reindustrialize Americaaustinvernon.site

• Our readingkorrents.com

  America cannot simply copy China's manufacturing methods, because which technology is correct depends on the local price of labour.

  ChinaAmerica

  Their words

  Second, technologies and market structure are contextual, where the US can't simply emulate China's manufacturing.

  Speed Can Reindustrialize Americaaustinvernon.site