I can relate, even if it's not specifically about podcasts for me, but rather any source of information.
How I try to cope is by striving for contextualizing decisions.
Everything I do or could do and every value I attach to something depends on and is influenced by context.
Every choice I make affects more than just one area or part of my life.
My life consists of more than one thing.
Yes, I could spend all day doing X. How would this affect different areas of my life? Is this the single most important thing in my life right now? How will this benefit me? At what cost? Is it worth the cost?
Striving for a more holistic view of my life helps me balance my tendency to lose sight of the whole for focusing in too much on one single thing without context.
Plus, dealing with the roots of my anxiety rather than the outgrowths alone.
This isn't just recognition of disease though. Its a prediction that you might get that disease in future.
> Apart from being hazardous to dreamers and their partners, RBD may foreshadow neurodegenerative disease, primarily synucleinopathies—conditions in which the protein α-synuclein (or alpha-synuclein) forms toxic clumps in the brain.
If you're thinking of focusing issues, IIRC there is evidence that not getting exposed to enough UV light (read: sun light) during years our eyes develops may play a big part in that.
No idea if that would imply this is needed as an adult though. And that is assuming I don't misremember in the first place.
Yes focusing eyes close all day is the real culprit. But there is something about bright light of monitors that seems to impact my vision too, i am not quite sure what its callled though. I don't feel the same fatigue reading a book. Its just my personal experience.
Yes it does and its bleak. I don't understand the valuation based on assumption that even the smallest startup will need to write some fancy map-reduce spark jobs to do analytics and AI. Most companies are best served by a warehouse like snowflake and a realtime layer for analytics. I don't understand the value add of databricks.
But you don't have to write map-reduce jobs at all? You can just write SQL queries or Pandas programs, and they automatically get parallelized by Databricks. Databricks is a data warehouse (just like Snowflake).
In a twist, pandas programs don't get parallelized on Spark. Someone had to go and write a parallel layer that duplicated the pandas API, because otherwise you ended up with the entire pandas program executing on a single executor.
FWIW what we see are whole different categories of workloads. For primarily API-driven microservice workloads, ETL of data stores into Snowflake makes sense. But for primarily batch or stream workloads- implemented literally as batches or as data streams that have varying unit-of-work semantics, and where the target data model isn't read only analytics but read write operational- something like Spark can make a lot of sense.
Wondering why they are giving such big serverences. Surely its not out of goodness of their hearts. 7 month severance at google seems a bit over the top to me.
i rent a room from 2 ladies who are ski instructors in their early 60s. They seem to have a lot of friends and party a lot ( i get invited to some) and go to a lot of trips and play/ski/camp in the mountains here in the colorado. They are leaving this weekend to party somewhere in streamboat springs.
I guess its important to have hobbies and put effort into weaving those into your life ? Its also easy to find other people who are into and hang out with them?
I really struggle with this, driven by this anxeity that I am "falling behind" in terms of knowledge if i don't consume it all the time.