Yes. One of the Four Focus Areas of Effective Altruism (2013) was "The Long-Term Future" and "Far future-focused EAs" are on the map of Bay Area memespace (2013). This social and ideological cluster has existed long before this exact name was coined to refer to it.

I'm not sure what StopAI meant by Mr. Kirchner not having -- to its knowledge -- "yet crossed a line [he] can't come back from," but to be clear: his time working on AI issues in any capacity has to be over.

This unfortunately do not seem to be StopAI's stance.

Ilya Sutskever today on X:

One point I made that didn’t come across:

- Scaling the current thing will keep leading to improvements. In particular, it won’t stall.
- But something important will continue to be missing.

Social media recommendation algorithms are typically based on machine learning and generally fall under the purview of near-term AI ethics.

Yes.

Sorry, I don't know where I got that R from.

I'm giving a ∆ to this overall, but I should add that conservative AI policy think tanks like FAI are probably overall accelerating the AI race, which should be a worry for both AI x-risk EAs and near-term AI ethicists.

You can formally mathematically prove a programmable calculator. You just can't formally mathematically prove every possible programmable calculator. On the other hand, if you can't mathematically prove a given programmable calculator, it might be a sign that your design is an horrible sludge. On the other other hand, deep-learnt neural networks are definitionally horrible sludge.

Yes those quotes do refer to the need for a model to develop heterogeneous skills based on private information, and to adapt to changing situations in real life with very little data. I don't see your problem.

How is "heterogeneous skills" based on private information and "adapting to changing situation in real time with very little data" not what continual learning mean?