So is it "on me?" Or is it just that the game just is high variance?

Just play blue, that's not a problem then.

Usually, the problem with developing a driver isn't "writing the code," it's "finding documentation for what the code should do."

Ctrl-S may or may not end up stopping the program, depending on how much it's printing, and how much output buffering there is before it blocks on writing more.

The width of the models is typically wide enough to "explore" many possible actions, score them, and let the sampler pick the next action based on the weights. (Whether a given trained parameter set will be any good at it, is a different question.)

The number of attention heads for the context is similarly quite high.

And, as a matter of mechanics, the core neuron formulation (dot product input and a non-linearity) excels at working with ranges.

This is similar to how different credit risks get assigned different interest rates.

Companies failing (or close enough to failing that they restructure and wipe out common) is not uncommon in start-ups. If you want a more or less sure thing, you'll have to work at a more or less sure employer, and the risk/reward will be different.

Now, whether those who exercised their Philz options and paid for the shares, were really aware in what they were doing -- I don't know! But there doesn't seem to be anything explicitly sinister about the way this was set up, or went down -- simply, the business didn't do well enough. Which is too bad, because I think their coffee is actually good.

That's a good thing, right?