I agree this would be a good argument for short sentences in 2019, but does it still apply with modern LLMs?

When I click the link I see this: 

I like this idea. There's always endless controversy about quoting out of context. I can't recall seeing any previous specific proposals to help people assess the relevance of context for themselves.

Thanks for doing this, guys. This import will make it easier to access some important history. 

Some kind of payment for training data from applications like MSFT rewind does seem fair. I wonder if there will be a lot of growth in jobs where your main task is providing or annotating training data. 

I think  this approach is reasonable for things where failure is low stakes. But I really think it makes sense to be extremely conservative about who you start businesses with. Your ability to verify things is limited, and there may still be information in vibes even after updating on the results of all feasible efforts to verify someone's trustworthiness. 

See also: "Which World Gets Saved"

This is a funny idea but, just to be clear, I think it is bad to torture AIs. 

Every hour, I'll replace one of your attention heads with a constant value of 0.5...

Thanks, this is a good post. Have you changed your probability of TAI by 2033 in the year and a half since it was posted?