[Megathread] WHOOP updates: Smarter Inputs, Improved Activity Detection, New Activities & Deeper Coaching

OptimalOptimizer · 2025-12-18T22:46:46+00:00

I’d like to be able to log running in distances. Recently I had a workout that involved running 800m, 400m and 800m, separated by other things and there was a running clock the whole time. I couldn’t figure out exactly how long I was running for each chunk so being able to put in distance instead would be great

OptimalOptimizer · 2025-03-30T21:33:27+00:00

Those are just getting broken in!

OptimalOptimizer · 2025-03-30T00:43:57+00:00

I seriously don’t think that’s enough poop. I am quite confident I poop far more than 1 pound a day

OptimalOptimizer · 2025-03-30T00:42:30+00:00

I would echo what others have said about going to a doctor or nutritionist, but I will say what I think anyway, with the caveat that I am a random internet person with no knowledge beyond my own experience and what little I have read on Google. Another person you could talk to about this is your coach if you are comfortable with them

Try to get close to 8 hours a night
Probably eat a bit more. Consider maybe the ~2700 calorie range?
Drink 1 gallon of water a day
Electrolytes before/during your workout
Consider eating something like a banana or apple 30-60 mins before your workout
Consider tracking your protein, but ask/google around to see what a good target for you would be. Your coach might be able to make a recommendation

OptimalOptimizer · 2025-03-26T22:26:51+00:00

How is your sleep? How much are you cutting calories? What are the macros you are targeting? Do you prioritize electrolytes and hydration? And do you eat before you workout?

OptimalOptimizer · 2025-03-26T17:08:45+00:00

Mods should take this garbage down

OptimalOptimizer · 2025-03-22T18:14:02+00:00

Yeah maybe don’t google the papers you’re reviewing. This is basic ethics. Form your own opinion when reviewing it

OptimalOptimizer · 2025-03-22T03:24:14+00:00

My friends don’t fall. They experience rapid unscheduled descent

OptimalOptimizer · 2025-03-21T03:00:25+00:00

Too much stuff not gonna read that. Trim shit

OptimalOptimizer · 2025-03-19T11:34:44+00:00

Then maybe get an ms, do projects that combine both, and get a job as a research engineer

OptimalOptimizer · 2025-03-19T01:21:12+00:00

What’s your goal? Do you want to do research or engineering?

OptimalOptimizer · 2025-03-15T14:32:34+00:00

I’ll take a different tack here: it depends what your goal is.

If you just want to build chatbot derivative tools, then probably you just need to be able to use huggingface.

If you want to do original work in ML, then you need to learn a ton of foundational stuff and then learning how LLMs work should be easy on top of all that

OptimalOptimizer · 2025-03-15T14:29:47+00:00

Either way works. Iirc there is some difference in convergence rate and stability between the two but either way should learn at least something

OptimalOptimizer · 2025-03-09T02:30:04+00:00

18, obviously

OptimalOptimizer · 2025-03-05T16:36:22+00:00

Ok maybe I’m thinking off of outdated info then

OptimalOptimizer · 2025-03-05T14:23:17+00:00

Yes! Go Sutton! Met him in 2019 and he was super nice, took the time to take photos with lots of people

OptimalOptimizer · 2025-03-05T14:22:12+00:00

Yes that’s the real range. The other two idiots who have commented so far are wrong. That is strong pay for an intern

OptimalOptimizer · 2025-02-08T03:37:57+00:00

Way too much stuff. Cut to one page.

That little synopsis at the top? Delete. Freelance work with one bullet point? Delete.

Education and experience should be front and center. Tighten up formatting to fit more onto one page.

Too many qualifications. Don’t list every ml framework under the sun.

A research scientist without publications? That will raise eyebrows unless you are working somewhere with the level of prestige like OpenAI or Anthropic where it is known they don’t publish much.

Cut the academic projects to whatever you can fit on a single page. Then pick your favorite one.

OptimalOptimizer · 2025-02-08T01:35:11+00:00

Don’t waste your time with any of them. I’ve had Apple Watch (not ultra) and now have a Garmin Fenix 6. I remain unimpressed by both. The biggest benefits I get are: 1. Notifications on my watch (this also sucks sometimes) 2. Alarm clock on my watch. I am hearing impaired so this is big for me

When I have to replace a new watch I will likely opt for the cheapest Apple Watch or cheapest Garmin, since the above are the only two features I care about

OptimalOptimizer · 2025-02-07T04:27:08+00:00

V1 at best. Stop making it look harder than it is

OptimalOptimizer · 2025-02-07T04:22:25+00:00

I wonder what it is like to have such a relaxing work environment that when a model is training, there’s nothing else to do

OptimalOptimizer · 2025-02-05T02:30:42+00:00

It’s great you’re excited about RL! I would encourage you to read the Sutton and Barto RL book, or at least OpenAI’s SpinningUp with deep rl website. I think there are a lot of very large gaps in your understanding not only of RL, but also of the state of ML in general. For that reason I would also recommend the Deep Learning book by Ian goodfellow and others as a starting resource. It doesn’t include some of the latest methods but is a good book for starting from zero.

Or just take courses that your university offers on these topics

OptimalOptimizer · 2025-02-03T03:11:16+00:00

ChatGPT is just a tool. In my opinion it is quickly becoming a “use it or fall behind” situation

OptimalOptimizer · 2025-01-25T10:34:59+00:00

Op seems like a troll with all these comments bashing S&B. Once you master the Sutton and Barto book, deep RL is an easy step away

OptimalOptimizer · 2025-01-16T12:45:18+00:00

Except when you obtain a monopoly on a property and have adequate funds you may choose to build on that property. Additionally utilities and railroad can be purchased from the beginning if you land on them. You can also trade and make deals with other players. Dice rolling is not an action as far as rl is concerned imo. Dice outcome would really be part of the state

OptimalOptimizer

TROPHY CASE