SSH is an ancient tech that is still widely used today. Learning a couple of SSH tricks might be more profitable in the long run than mastering a dozen Cloud Native tools destined to become deprecated next quarter.
The four most popular SSH Tunneling modes on a single diagram👇
To qualify as Science a piece of research must be correct and reproducible.
To be correct and reproducible, it must be described in sufficient details in a publication.
To be 'published' (to receive a seal of approval) the publication must be checked for correctness by reviewers.
To be reproduced, the publication must be widely available to the community and sufficiently interesting.
If you do research and don't publish, it's not Science.
Without peer review and reproducibility, chances are your methodology was flawed and you fooled yourself into thinking you did something great.
No one will ever hear about your work.
No one will pick it up and build on top of it.
No one will build new technology and products with it.
Your work will have been in vain.
You'll die bitter and forgotten.
If you never published your research but somehow developed it into a product, you might die rich.
But you'll still be a bit bitter and largely forgotten.
KAN: Kolmogorov–Arnold Networks is a really elegant paper. It's refreshing to see that things worked by design rather than by accident in ML. I made a small KAN experiment comparing it to MLP and spline fitting. (notebook in comments!)
Àlex Roca Campillo (born 1991) is an athlete with cerebral palsy. He made history in March 2023 by becoming the first person in the world with a 76% disability to finish a marathon of 42.195 km.
https://t.co/bWvIUqDyyD
"Simplicity is prerequisite for reliability." - Edsger Dijkstra
As your setup gets more complex, it gets more fragile.
Things are more likely to break and slow you down.
Same rule applies to code and most of life really.
''Transformers Are What You Don't Need' is growing and more new papers have been added.
Learn why transformers are not the answer to #timeseries#forecasting, explore some of the best non-transformer methods that outperform transformers and give the repo your support and a star 🌟 ->
https://t.co/MpkENNkjlF
#TimeSeries #Forecasting #Innovation #transformers
I review a LOT of React code every day. Half my job is repeatedly saying two things:
1. "This state isn't necessary. The values can be derived from other state/props."
2. "This useEffect isn't necessary. The values can be derived on each render instead."