egecant

I agree the population distribution is skewed towards negative and average is less than 0. And when those people use AI it gets even worse because they are preventing themselves to become competent by relying on AI and skipping fundamentals.

Unfortunately the things we can control regarding other people are limited... So I think least we can do is to either surround ourselves with competent people or if not possible, ignore the AI and hold people accountable based on their final output. I often see people try to defend themselves by just blaming AI when their final output is bad but when its good its their work. But its not an AI problem, its the people problem sadly. I wish the problem was AI btw, it would be much easier to fix.

I think a lot of the problems or gains attributed to AI are just reflections of the humans that use them.

I dont care if you used AI to produce something. If you share it with me, I assume you are responsible for it. You own it, whether you agree or not.

> it's causing people to be confident in information which is false, it's enabling people to treat each other like jerks in even more ways than before

What is the direction of causality here? Does AI make people jerks, or they were already or prone to be jerks?

The same applies to innovations or breakthroughs made by people who use AI in their work.

> LLMs are solving novel math problems and successfully emulated a PS5

Did the AI independently accomplish those things, or did highly competent people accomplish them using AI as a tool?

What would happen if you give someone with no mathematical or programming background the same frontier models that OpenAI used for their mathematical proofs [1]. Would they produce the same discoveries?

I think of humans as constants. They can bring positive, or negative value to the table. The AI is the multiplier.

Take software engineering. If you let someone who doesnt care about code quality (their constant is negative since any code they write will introduce a tech debt) push code to your repo using AI, it will destroy your project. But let an engineer with strong fundamentals and high standards use AI to push code to your repo, they can improve the project much faster than they could without AI.

[1] https://github.com/openai/math/

I have a better idea, what about stop spamming slop PRs to projects?

Great idea! Would definitely sign up if I was living in London. Whats the verification process for sign ups btw?

This is even worse because you are working with clinical trials, which literally has impact on human lives

This article reminds me of another great article comparing R to Python: "Why pandas feels clunky when coming from R" (https://www.sumsar.net/blog/pandas-feels-clunky-when-coming-...)

Microsoft Teams is DaaS (Dread as a Service). Here is a great video about how it sucks your soul: https://youtu.be/3O0VbCvWlxk?si=E61rlKLjtFMczl3D

The `echarts4r` [1] R package lets you create ECharts charts directly in R and render them in graphical device, Shiny apps, Rmarkdown or Quarto documents.

[1] https://echarts4r.john-coene.com/

Completely agree, from the perspective of someone that primarily uses R/tidyverse for data wrangling, there is this great article on why Pandas API feel clunky: https://www.sumsar.net/blog/pandas-feels-clunky-when-coming-...

I don't understand why other people are hating on Kanye's music. I understand that he is not a very likeable person, but his music is damn good y'all. Especially the ones you tried :D

Maybe its because you load tidyverse, which is a library of libraries, instead of loading only what you need? It seems like an issue related to your understanding of the tidyverse rather than R.

I agree; It’s excellent for rapid prototyping, as its easy to learn/develop and time to deployment is incredibly fast, especially with Posit Connect. However, it’s not ideal for handling hundreds of concurrent users.

In R, you can build Single Page Applications with Shiny, created by Posit https://shiny.posit.co/ It is very useful, if you don't know HTML,JS,CSS and want to create an interactive dashboard, showcasing your analysis, models, visualizations, or even to create an internal tool for your organization.

It seems that reactR provides functions for building react components directly from R that can be used in Shiny apps.