eutectic

I think the idea is that some short peptides might survive the digestion and make it to the blood stream, but I'm doubtful there's any specific benefit to collagen.

Lidars use pulsed lasers with peak powers up to the kW range.

Silicon carbide fiber reinforced silicon carbide is also being increasingly used.

But 'i' is not a car, it is the index of a car.

I like einsum, it's concise and self-explanatory. Way better than multiple lines of nested for loops would be.

I got to level 8 by asking in rot13. I think I beat the bonus level too but I can't remember how.

Also, the problem is to find a global min-cut, which requires all-pairs max flow.

Different models have different inductive biases. There is no way you could build GPT4 with decision trees.

Is it not possible to compensate for inaccuracy, if you have a sufficiently precise measurement at the hand?

Your edit is confusing me. Which variant fails and which variant passes?

Here's a variant which gives 64-bit output:

  uint64_t x = 0, w = 1;
  uint64_t msws64(void) {
      x = x * x + (w *= 0xe9acc0f334e93bd5ULL);
      return (x = (x >> 32) | (x << 32)) ^ w;
  }

What if you don't truncate? I fell like it might still be OK.

One important component is adding significant damping, corresponding to a small probability of jumping to a random page. This makes sure that the graph is well connected and the power iteration converges fast.

I though finite difference differentiation was notoriously unstable.

I just did this exact thing today, writing a cloth simulator! I wanted to try updating each node position in turn using a Newton step, holding the other nodes fixed.