Generally I don’t think anyone is arguing about the for now part. I don’t think it’s crazy to extrapolate out a few years and ask what kind of danger we’ll be in then. A team of 10,000 agents just solved the Navier Stokes problem (sans bad behavior by the researchers). Even 1 year ago that would have been unimaginable. What happens to this risk view as:
1. Robotics begin rolling out more broadly across the world.
2. Labs start automating more and more of the physical process of running science as expectations of natural science advances begin to mount.
3. Economic pressure between the labs continues to ramp up and the pressure to continuously improve forces quicker and quicker model releases than a team of human scientists can effectively evaluate outside of automated means.
No one knows what pre-conditions are for us to hit the point of no return nor how quickly it will come. If all is required is a sufficiently advanced cyber model we may not be far off. If it requires incredibly complex biological knowledge and access to certain lab supplies we likely have a bit longer. Yes this is guess work and we need more evidence of the dangers but at the same time we need evidence of safety. While you may disagree with the risk level, I think it is easy to see the consequence if these labs achieve their stated goal. At this point it seems a political solution is the only way to enforce caution.
Job destruction signals...
- Uber is lobbying cities to slow down Waymo rollouts https://www.hcamag.com/us/specialization/transformation/uber......
- 23,000 information sector jobs were lost https://www.axios.com/2026/09/08/jobs-media-software-informa...
- If you have been laid from your info sector/digital creation job you are now competing with 100s of thousands looking for their next such job where Ai can do a lot of the tasks these workers did/do. It's a shitshow for those unemployed looking for their next info sector/digital asset creation job. You are better off doing welding building out the Ai data centers if you want long term properous financial stable employment.
The mathematics research results are certainly impressive, but I don't see what that has to do with robotics.
Waymo is getting somewhere, but it's been a long slog. There doesn't seem to be much progress on, say, package delivery.
For more, see:
https://secondthoughts.ai/p/14-reasons-robotics-is-hard