gonab

In many ways, Claude feels like a miracle to me. I no longer have to stress over semantics or searching for patterns I can recognize and work with, but I’ve never actually coded them myself in that language. Now, I don’t have to waste energy looking up things that I find boring

Conversely I feel that the experience of searching has been degraded by a lot since 2016/17. My these is that, at this time, online spam increased by an order of magnitude

Makes me think about all the things being currently written has certain, that have the highest magnitude of uncertainty

.

Like any good satire, half truth.

It looks like regular capital but really tiny

https://www.youtube.com/watch?v=Gj4-E5Hs3Kc

I agree. Their objective is not to build beautiful code but to provide a working prototype

I'm sure every single one of them is capable of writing world class code if they feel like it

Their exploits are world class and their focus is to exploit

I have seen stuff in JavaScript exploitation that I can't even scratch the surface. I feel like I have been playing piano for 15 years and I can't even understand if that a music that is playing

I understand exactly what you are saying. Let me add up by saying python has a beautiful learning curve

In the begging is very simple to churn out code and do wtv you want, but the more you are into it, you start realizing that there are endless possibilities

It's a great language for beginners and even better for experts that just want to solve problems with code without thinking to much about if coding is beautiful or not, or feeling cool, or arrogant about it

It just works

I personally consider the term "data scientist" a very successful creation by a clever marketer

It's sexy and most of the times ...

Python is used to make fast and dirty experiences. You haven't figured out the answer yet, so no point on building dedicated optimized code which might be useless in end

Almost always, ML production models end up being a binary files of matricial weights. This file can be loaded in wtv language or device you decide to use

I don't think this is a fair assessment of "most ML people"

Some of the biggest distributed systems built today are used for statistical inference or scientific computation

Most "ML people" I know are highly versatile in software, networks and deep hardware knowledge, i.e., essentially they have a very good understanding of what a computer is and what is capable from

Its very naive to think that you can assemble machine learning systems without having a solid understanding of computers and statistics

You know who also likes python a lot? Hackers. I wonder why

I think this is a very mean commentary. I usually don't feel the urge to comment, but this is a really mean commentary

Use a small network, train it in a local GPU

We use this in production. This is very good software and easy to self host. Just use Amazon SES for email, S3 for storage and Postgres for database. That's it, you have an email server that costs pennies

It just works.

Google has a problem when HN becomes an issue tracker

As with all of your texts, I'm sure I will read it more than once

Build a proof of CO2 capture

No one has used the words "docker swarm" on the comment section

Fill in the words

Kubernetes is to Multics as ____ is to docker swarm