Looking at these flaws, running workflows from a persistent VM of ur own becomes pretty tempting because you don't need to copy caches around and can easily SSH in.

If those flames of resentment could be redirected toward policy makers and corporations for flooding the lower-income labour market and away from those who took the opportunity, that'd be great.

But at least if you use an API in the same region as your customers, court order shenanigans won't get you caught between different jurisdictions.

If human response is "That's BS", "fuck off", or something similar, mark as bad assistant message.

If human response is "huh" or "cool", mark as good assistant message.

If on ChatGPT, watch how much scrolling user does. If there's a lot, its somewhat likely that the LLM outputted something useful.

That strategy would have holes of course but as long as its better than guessing something like that would be a useful heuristic.

"A random subgraph of the bunkbed graph is then formed by independently deleting each edge based on the assigned probability."

So the (apparently incorrect) intuition is that an (upper<->lower) connection starts with an extra edge in the connection, so an (upper<->lower) connection has a greater risk of disconnect via random edge removal. Therefore, a same-level connection is more likely to remain after the random edge removal.