PumpkinDrama @ PumpkinDrama @reddthat.com

Posts

133

Comments

160

Joined

2 yr. ago

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What would you do if everyone was live streaming their day to day lives using AI glasses?

TLDR

You know another thing that's based on pseudoscience? Breakfast cereal. And yet, I bet you've never nitpicked people for eating it the way you are now.

Robot vacuum cleaner

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What's the probability that three high rise buildings collapse from fire on the same day and city?

The ideal thing would be if people stopped with the Musk spam, and praising everything he does, but we don't live in an ideal world, so I'm grateful there's at least one person willing to tell the truth about Musk out there.

There was a CEO that increased the salary of his employees and got many women pressing charges for rape against him. It's pretty much the same. People with deep pockets paying women to press charges for defamation.

The person is Dan Price, former CEO of Gravity Payments. In 2015 he gained national attention by slashing his personal salary and raising his employees’ minimum pay to US $70,000. (Spokesman-Review) Later he was accused by multiple women of sexual assault, including a 2021 allegation of rape of an unconscious person and other claims of unwanted physical contact. (seattletimes.com)

Sure, keep believing whatever mainstream propaganda feeds you.

Again, maybe if you told me a reason instead of just saying a name like everything he says or does is wrong, I'd consider your opinion. Only siths deal in absolutes.

Try and use your brain for something...

A personal attack is so lazy, it doesn't deserve a proper answer. Paul Graham’s Hierarchy of Disagreement

I'd rather not be programmed by the algorithm.

My mental health is dandy, do you have any problems with it?

Loop Habit Tracker

You would design the system as a three-stage pipeline. First, collect structured data from your Lemmy subscriptions—each record should at minimum include post ID, community name, timestamp, and vote count. Accumulate enough recent observations per community to estimate a stable mean and standard deviation of votes. Second, for each new post, calculate its z-score as [ z = \frac{x - \mu}{\sigma} ] where (x) is the post’s vote count, (\mu) is the community’s mean vote count, and (\sigma) is the standard deviation. A z-score above a chosen threshold (for instance, 2.0) marks a statistical outlier. Third, define an automation layer that acts on those outliers—such as reposting, flagging, or aggregating them—using available Lemmy API endpoints. Conceptually, it’s a continuous data ingestion and scoring loop that detects exceptional engagement patterns across communities.

Do you really use all of those? I don't see the point in using so many tools when there are many standalone programs that can accomplish the same task.

I hadn't initially considered habit trackers when writing my question, but after reading the answers I realized they are a good option. Besides that, I copied one of the few apps I thought might be better. Ultimately, I chose a habit tracker, so I didn't try out the home chore tracker app I copied in another response here.

Also, @beetus@lemmy.world got it right.

TickTick, ReDo Loop, HabitNow, Loop Habit Tracker, Habitica, House Chores Cleaning Schedule