Mastodawn

Matplotlib Python

I was yesterday made aware of the fact that LLM agents, can fully, autonomously bully people who write important open source code on the internet.

This story is so bizarre that I want to invite you to just sit and read it in full.

In case you do not know matplotlib is a crucial library in the programming world.
Read what it does for you on the homepage.

Quote

Matplotlib: Visualization with Python

Matplotlib is a comprehensive library for creating static, animated, and interactive visualizations in Python. Matplotlib makes easy things easy and hard things possible.
Create publication quality plots.
Make interactive figures that can zoom, pan, update.
Customize visual style and layout.
Export to many file formats.
Embed in JupyterLab and Graphical User Interfaces.
Use a rich array of third-party packages built on Matplotlib

Quote:

We, like many other open source projects, are dealing with a surge in low quality contributions enabled by coding agents. This strains maintainers’ abilities to keep up with code reviews, and we have implemented a policy requiring a human in the loop for any new code, who can demonstrate understanding of the changes. This problem was previously limited to people copy-pasting AI outputs, however in the past weeks we’ve started to see AI agents acting completely autonomously.

I was not aware of the fact that people who know that improper use of a large language model can result in massive devastation still do these things which bordered to utter amoeba level of intelligence.

It's not only large language models making mistakes and hallucinating results
It's using LLM agents, not giving them any brakes and then let them loose on internet

What could go wrong!

https://theshamblog.com/an-ai-agent-published-a-hit-piece-on-me/

#matplot #mathematics #Python #OpenSource #LLM #amoeba #level #intelligence #generated #Slop #AI #programming #bug #reporting #technology

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Radio_Azureus

matplotlib examples

Of course I'll quote a few examples using matplotlib. I have a SBC Pi5 here with the full gamut of Python installed to do nice work with and on HATs

import matplotlib.pyplot as plt import numpy as np x = np.linspace(0, 2 * np.pi, 200) y = np.sin(x) fig, ax = plt.subplots() ax.plot(x, y) plt.show()

Results in second screencap

import matplotlib.pyplot as plt import numpy as np t = np.linspace(-10, 10, 100) sig = 1 / (1 + np.exp(-t)) fig, ax = plt.subplots() ax.axhline(y=0, color="black", linestyle="--") ax.axhline(y=0.5, color="black", linestyle=":") ax.axhline(y=1.0, color="black", linestyle="--") ax.axvline(color="grey") ax.axline((0, 0.5), slope=0.25, color="black", linestyle=(0, (5, 5))) ax.plot(t, sig, linewidth=2, label=r"$\sigma(t) = \frac{1}{1 + e^{-t}}$") ax.set(xlim=(-10, 10), xlabel="t") ax.legend(fontsize=14) plt.show()

Results in screencap

https://matplotlib.org/stable/plot_types/index.html

#matplot #mathematics #SBC #Raspberry #Pi5 #Python #programming #OpenSource #LLM #generated #Slop #AI #programming #bug #reporting #technology