hughperkins

Suggest passing the cost and the openai api calls through to us. eg we provide an openai api key. Just make it very easy for us to stay in control.

If your target audience is techie, you could maybe provide us a short python proxy script, that we run on our laptop, and that calls openai for you. Your website then connects to this somehow.

This would reduce load on your server, improve lag for us, and avoid cost issues for you.

And that's bad because?

Just set it to equal the current number of h1b slots

Note that looks like you are assuming 4% investments after retirement. Per the passive investment chart, this implies a fairly high level of risk? I'm unclear if you're also assuming we will live forever?

also: broadband. It originally contrasted with narrowband, and they describe modes for propagation of light through fiberglass cables... I thought it was really weird when I heard people on mainstream radio discussing such things. Eventually I realized they were using broadband as a synonym for 'fast internet' :P

^^^ This. Why is this not in fact the case?

A strange game. The only winning move is not to play.

Correlation != causation.

Seems perfectly plausible to me that the more confident candidates are more likely to be poached by other companies, for example.

Looks like 'bowling' is quite a challenge, for now...

> believe that question was cleared up once they responded to me that they were going to see their boyfriend/girlfriend.

This sentence is kind of interesting. So, you were 'just making small talk', until they told you they had a boy/girlfriend, and then, you just ... stopped 'making smalltalk'? :-P

Since when did TDD fail? Which is not to say it needs to be applied systematically to everything. But there are often bits of code which are better off being correct, and TDD works well for those.

If one looks at it from a 'what a today's compiler can do', then sure, one needs to statically declare everything.

If one looks at things from a 'any technical task can be handled by machine learning, sooner or later' point of view, there seems to be no obvious reason why parallelization, which is a purely technical task, not like say, writing music, could not sooner or later be handled by machine learning algorithms?