2,094 karma · joined December 31, 2012
Another similar result from intentional MDMA use:
https://sashachapin.substack.com/p/how-i-attained-persistent...
With tabular or nested data a human has already done a lot of work to organize that data in a machine friendly form - much of the feature engineering is performed by the data schema itself.
https://www.amazon.com/Dose-Hope-Story-MDMA-Assisted-Psychot...
https://pypi.org/project/improveai/
We’ll be updating the docs with examples over the coming weeks. Are there any specific use cases you’re interested in?
The inspiration comes from way back in the early 2000s. My team invented HTTP Live Streaming and there were a lot of performance sensitive places in the code where I was essentially making guesses on the values of buffer sizes, initial bitrates, etc and I wished that the variables could just auto-tune themselves in production.
I started working on this in earnest 7 years ago and this release is the result of countless hours of iteration and refinement. It means a lot that you feel like the API is good.
The reason to use a full machine learning model instead of a simple statistical model is three-fold:
1) The framework supports any arbitrary JSON encodable data structure as a variant, this includes nested dictionaries, lists, etc. A full ML model allows capturing the entire complexity of the data stored in the variant - numbers, strings, booleans, etc and those can even be changed and the model will still be able to predict performance.
2) A full ML model allows generalization across complex variants. So if later on you introduce new variants, it may already be imply some things about how that variant will perform. For the most part simple statistical models must learn each variant from scratch.
3) The models don't just seek to make decisions that are a global optimum, like you would do with A/B testing. They are seeking to find a contextual optimum given the current conditions. This type of modeling also requires the generalization that ML gives you.
The machine learning models actually perform wonderfully on continuous variables, but for this initial launch we're having developers specify the increments of those variables manually, so you'd put in [10, 11, 12, ...]. Soon we'll also likely provide a 'Variant Generator' class that automatically hill climbs to find the best value. If that's something you'd like to have let me know and we can make it a priority.
When I’m underslept my mood is significantly worse. I am one of the most consistently happy people I know.
If I need a cognitive boost I take Alpha GPC.
The difference is whether you’re existing in the grip of that fear or thriving from a place of love.
You could try reading something like “The Mastery of Love” by Don Miguel Ruiz to get a taste, but the healing has to come through the body and nervous system. You can’t will your way through this.
Edit: Important note: The right antidepressant can help!
In an ideal scenario you would quit working entirely to focus on your health, but I’m guessing this is not an option.
You need to focus on the body first. The most important is sleep, but that is also difficult to address directly, so it’s best to focus on diet and exercise. You’ll likely have to design your entire day and week around these two things.
Try the Whole 30 program first. It’s a way of eating that eliminates inflammation causing foods. DONT TRY TO LOSE WEIGHT! Weight loss is important for overall health but you’ll usually sleep worse during a weight loss phase. That said you’ll probably lose weight naturally anyway.
Give up the alcohol for 30 days and consider weening off caffeine at some point since both of these will mess up your sleep.
For exercise, you just have to find something enjoyable enough to do at least 3x per week. It really doesn’t matter what it is as long as it makes you a bit sore. Consistency is key - don’t overdo it by jumping into something like CrossFit.
Lastly, WHY are you burning yourself out? Are you afraid of failing? Afraid of being broke? Afraid of being perceived as a loser? The WHY is a spiritual problem and may be addressed through meditation (slow), psychotherapy (slower), or psychedelics (fast but more risk). Until you resolve the WHY of your burnout you’ll likely remain stuck in this cycle.