dondelelcaro

@dondelelcaro@lemmy.world

• ⁨Comment⁩ on ⁨Dunning-Kruger⁩ ⁨⁨5⁩ ⁨weeks⁩ ago⁩:

  YY is non viable; the X chromosome has many genes which are essential. You can be XY, female, and fertile, but it’s pretty rare.

• ⁨Comment⁩ on ⁨Dunning-Kruger⁩ ⁨⁨5⁩ ⁨weeks⁩ ago⁩:

  There’s a bunch of them, but one more common example is Androgen Insensitivity Syndrome.

  It’s also possible to have a non-functional SRY (XY but female), or to be XX with an SRY translocation (XX but male).

  Biology is complicated: pretty much anyone who says it only happens one way or is really simple is wrong.

• ⁨Comment⁩ on ⁨imagine⁩ ⁨⁨2⁩ ⁨months⁩ ago⁩:

  This is a bit misleading. You only need to treat the first generation of 2n watermelon with colchicine (which inhibits the movement of chromosomes during metaphase) to produce a 4n watermelon. Once you have a 4n watermelon, subsequent generations do not require colchicine treatment.

• ⁨Comment⁩ on ⁨Carcinisation?⁩ ⁨⁨4⁩ ⁨months⁩ ago⁩:

  There’s likely some cases of convergent evolution, but I’m not sure this is settled for all trees.

  I’d suspect that at least some trees with close relatives that are shrubs have re-enabled genes that enable the tree phenotype rather that independently evolving the tree phenotype.

  But still really cool (and maybe turns on exactly how much evolution your consider needs to happen before it’s convergent evolution.)

• ⁨Comment⁩ on ⁨The Code⁩ ⁨⁨9⁩ ⁨months⁩ ago⁩:

  Usually that’s just for their version. Arxiv the version before it was accepted.

• ⁨Comment⁩ on ⁨Automation⁩ ⁨⁨9⁩ ⁨months⁩ ago⁩:

  Exactly.

  The general approach is to use interpretable models where you can understand how the model works and what features it uses to discriminate, but that doesn’t work for all ML approaches (and even when it does our understanding is incomplete.)

• ⁨Comment⁩ on ⁨Automation⁩ ⁨⁨9⁩ ⁨months⁩ ago⁩:

  Maybe not the hardest, but still challenging. Unknown biases in training data are a challenge in any experimental design. Opaque ML frequently makes them more challenging to discover.

• ⁨Comment⁩ on ⁨RNA⁩ ⁨⁨1⁩ ⁨year⁩ ago⁩:

  rRNA: typical. I do the work and everyone else takes credit.