aray

> Double descent with overparameterization is exhibited in "classical settings" too and mentioned in older books.

I’m curious for references or citations to this. When I was going over double descent I tried to find citations like this (just in a couple places like ML/stats textbooks).

Extraordinary claims require extraordinary evidence.

This evidence seems weak at best.

I want to be charitable, but hard to imagine this is anything other than an incredible stretching to make a topic to generate lots of clicks/views.

When do you think we will get an update to C11 or more recent version of C to MISRA? Do you all have any influence on "Safety Critical C" standards?

I'm curious if this is a (temporary, unsecure) way to use google if you're in a place that google is currently blocked.

Small chance, but in case anyone on HN is in a place google is blocked, would be an interesting test to run.

> Because threads are so sensitive to initial conditions, it ends up skewing an entire discussion.

I haven't thought about this before on HN, but it makes a lot of sense. I'm curious if you or others have written about this intuition and your experience with it -- I'd like to understand it more.

What other pigments show up in lymph nodes? Hair dyes?

Cool! I did this a while ago for some CPU-bound stuff, and ran into a bunch of performance bottlenecks.

Some things that helped me scale ptrace-interception up:

- SECCOMP_BPF filter (getting these right matters a lot)

- moving all of your intercept work to a single side (enter or exit)

- ensure affinity between the traced and tracing processes

- nuke vdso

- remove vdso from the aux vector (otherwise good libc's will find it again)

At the end of the day unfortunately the better solution would have been to write kernel support for what I wanted to do, but it's a fun exercise in learning about system calls.

Is this paper published yet? The `Article` link doesn't go anywhere, and Google Scholar doesn't know where to find a copy.

Also recommend this as a follow-on. I think it's an important point, and also well presented. The anecdotes make it memorable but it's concise where it matters.

After I read this last year it changed the way I interacted and observed things around me for a while. Poking/prodding more, and asking more "what/how" questions.

That article is about the FDA and a melanoma drug. I don't think it has anything to do with Cray or patents.

Possibly mis-copied link?

Congrats! Is there a short summary about how your approach is different from existing stacks (like tensorflow, or nnvm)?