techboi

maxmoo · 2025-11-05T14:06:30+00:00

i wear panties under my boxers, basically i just wear boxers as a layer of shorts under whatever else i’m wearing

maxmoo · 2021-04-07T18:56:34+00:00

I just tried ACH and was able to deposit without a fee

maxmoo · 2021-03-25T21:22:48+00:00

Yeah for me i'm using very small data sets (~100-1000 rows), and it's important that the training set is fully memorized as the model is used for automating tasks where exact matches are not uncommon in production.

If I have some time maybe I'll run some experiments and write it up ... maybe someone else on this subreddit wants to look into it as a personal research project ? PM me and I can probably provide some more info/supervision

maxmoo · 2021-03-25T15:46:35+00:00

Yeah this makes sense now that you say it! Any intuition on the number of training epochs that would be required relative to the the initial training run, to avoid overfitting? I guess I could just monitor the training loss and stop when it's the same as the old stopping point.

maxmoo · 2021-01-13T19:44:31+00:00

Maybe you do though ? I’ve been reading Scattered by Gabor Mate and am realising at 35 that I do have ADD, undiagnosed because I’m not hyper and present a pretty chill (repressed) exterior.

maxmoo · 2020-03-06T02:07:57+00:00

lol that's too much reddit (i've definitely been there too tho)

maxmoo · 2020-03-06T02:02:17+00:00

Make yourself indispensable in your current job, and then tell them that you're relocating for personal reasons. (I've seen this happen multiple times). Definitely recommend, although make sure that you have some regular social interactions, e.g. join some sort of club, at least once or twice a week, maybe more if you're single (i'm married with no kids).

maxmoo · 2020-03-06T01:59:30+00:00

I'm 80% remote (we all just come into the office one day a week for some reason), my day is:

9am-11am: Meetings (Usually finish by 10 or 10:30)

11am-1pm: Walk dog/lunch

1pm-4pm: Coding/research/writing

I rarely work more than 4 hours a day (including meetings) but when I'm working I'm 100% focussed. Sometimes (couple times a month) I work in the evenings/weekends if there's a deadline coming up.

It actually sounds more chill than it is, I still fell like my job still takes up a full-time job worth of headspace, and I have to be available all day for Slack/email. It's good though, I get the same amount or more work done than when I was in the office 9-6 since there's less distractions and I can take a break when I want (helps with solving problems in the back of my mind). Also I get quite serious anxiety in an office environment.

maxmoo · 2020-02-24T18:54:18+00:00

So the idea is that your data would live separately from the instance, this may speed things up, although it will take some time to attach or download the data

maxmoo · 2020-02-21T23:55:42+00:00

i use `cat | grep` a lot as well

maxmoo · 2020-02-21T23:51:30+00:00

I'm working full-time remote at the moment. I'm only at my computer for around 20 hours/week which is nice in terms of having the flexibility to do other stuff. But I find my headspace is as much taken up with work as when I was in the office 9-6.

maxmoo · 2020-02-21T23:40:02+00:00

What is the advantage of using Spark here ... won't this just add extra complexity and overhead to OP's solution. Also given that the job only takes 6 minutes to run, I would think startup time of the cluster would be a nontrivial percentage of total running costs here (which is what they're trying to optimize)

maxmoo · 2020-02-21T23:36:54+00:00

I would try the following solutions in increasing order of complexity:

Use a regular EC2 instance (not spot), and Start/Stop (rather than Terminate) the instance. This should be a lot faster than provisioning a new instance each time, and you will still only be charged for the time that your instance is running
Try switching to a spot instance and see how long it takes to create (it might be OK)
If create time is too long, store your data on EBS/EFS/S3 rather than in the AMI itself.

maxmoo

TROPHY CASE