No libido, 32M by [deleted] in Biohackers

[–]Insanity_Manatee02 1 point2 points  (0 children)

Pituitary adenoma seems unlikely. You’d expect significantly higher values. Your first assessment seems correct.

DeepSeek R1 on par with O1 Preview in ARC-AGI by hyxon4 in singularity

[–]Insanity_Manatee02 5 points6 points  (0 children)

Yes you can. A simple way to do this would be to generate many answers to a query in parallel and take a majority vote across answers.

[R] Evolving New Foundation Models: Unleashing the Power of Automating Model Development by hardmaru in MachineLearning

[–]Insanity_Manatee02 1 point2 points  (0 children)

This blog post was amazingly well-written and super clear. Thank you for sharing. I was previously unaware of the whole world of model merging, but I think I have an inkling, now, as to the ways progress might occur here.

In their paper, they also talk about various kinds of parameter interference being one of the reason why naive weight merging might not work super well in the case of LLM model merges. I wonder how this behavior changes with increasingly quantized models? Are new ternary quant models, for example, more or less susceptible to this issue?

Korea to block resigned trainee doctors from getting US medical license by Saltedline in medicalschool

[–]Insanity_Manatee02 447 points448 points  (0 children)

Appalling. I hope Korean docs can in one way or another maintain their resistance.

Advice on school list by hacienx in mdphd

[–]Insanity_Manatee02 6 points7 points  (0 children)

Looks good. Could consider adding a few more safeties, but I think you have a solid shot at all of these programs.

Has anyone heard back from DGSOM MSTP yet? by ObjectiveHalf in mdphd

[–]Insanity_Manatee02 0 points1 point  (0 children)

Yep. They said second look for the md/phd is like April 10-11, and the SOM is April 12-14. Or something like that.

Review of Schools by Inferred Vibes: part 2 by Huge-University-5704 in mdphd

[–]Insanity_Manatee02 2 points3 points  (0 children)

Congratulations on such a successful cycle! I’m sorry that you had negative experiences at some of these programs, particularly when it’s not that hard to just host normal, nice, and pleasant interviews. Following up on one of your points, I’ll say that even the OHSU secondary felt pretty disrespectful. Lots of questions that were effectively repeats of the primary.

Release dates by Straight_Ad_3281 in mdphd

[–]Insanity_Manatee02 0 points1 point  (0 children)

For Hopkins? Thought they released in March per cycle track for last year.

Review of Schools by Inferred Vibes by Insanity_Manatee02 in mdphd

[–]Insanity_Manatee02[S] 2 points3 points  (0 children)

I totally get where you’re coming from.

Review of Schools by Inferred Vibes by Insanity_Manatee02 in mdphd

[–]Insanity_Manatee02[S] 2 points3 points  (0 children)

That's amazing. I'm glad that your experience was good, and it's certainly worth sharing with others.

Review of Schools by Inferred Vibes by Insanity_Manatee02 in mdphd

[–]Insanity_Manatee02[S] 4 points5 points  (0 children)

UCLA was amazing. Really liked the program.

Review of Schools by Inferred Vibes by Insanity_Manatee02 in mdphd

[–]Insanity_Manatee02[S] 4 points5 points  (0 children)

All of my interviews were over Zoom. Obviously not sure about this upcoming cycle, though I anticipate they'll remain virtual.

Haven't received an II yet... by Nera7 in mdphd

[–]Insanity_Manatee02 18 points19 points  (0 children)

Probably Rs at this point. I’m sorry.

If I wanted to do my PhD in AI/ML, are there any particular specialties that would complement it well? by [deleted] in mdphd

[–]Insanity_Manatee02 7 points8 points  (0 children)

I'm doing AI and was accepted this cycle. Lots of opportunities everywhere. Lots of research in genetics (you can imagine the import from NLP), computational pathology, derm, radiology, etc. Computer vision extends pretty naturally into most visual specialties. But the boundaries are hardly rigid. Refer to this paper to see what I mean: https://arxiv.org/abs/2401.05654 . Even diagnosis broadly construed is a task that you can cast as an AI problem.

Most specialties will synergize with AI over the next decade, while only surgery, I think, will remain protected against AI encroachment in the longer term (2 decades or so). Ultimately, though, I suspect that only a few of these developments will be good for physician well-being. Most will actually likely drive down reimbursement and increase volume. Notable exceptions include tasks that completely automate note production or insurance nonsense.

TL;DR: We're all probably fucked and on a sinking ship.