what if you don’t even know what that stuff is or how to use it even if it were available?

what if you like the feature and are okay with just using it while you can?

Don’t

Erupt

Before

I

Am

Nevada

I like how many devs this pissed off. this picture is whack tho wtf

(Linus leans back in his chair, a glint of amusement in his eyes, and gestures toward Richard Stallman who is seated across from him. Richard, ever the passionate advocate, is already gesturing with his hands.)

“Well, if you’re talking about the revolution in computing, you can’t forget about this fella right here, Mr. Stallman.”

(He gives Richard a playful nudge.)

“He’s the one who really gave us the framework, the ideals, the whole ‘free software’ movement.”

Richard, his eyes gleaming with conviction, jumps in.

“It’s not just about code, Linus. It’s about freedom, about users having control over their own technology. It’s about sharing, about building on each other’s work, and refusing to be locked in by proprietary systems.” (He leans forward, his voice gaining intensity.)

"We had to fight for that freedom, against the corporations who wanted to control every bit of software, every line of code. But we won, and GNU is proof that free software can not only work but thrive. "

Linus nods in agreement, a hint of respect in his voice.

“He’s right, you know. Without the GNU tools, without Richard’s vision, Linux wouldn’t be what it is today. It wouldn’t be as powerful, as flexible, as truly free.”

(He turns back to you, a mischievous glint in his eyes.)

“But don’t let them fool you, we weren’t always the best of friends. We had our disagreements, our battles over licensing, our philosophical differences. But hey, that’s part of the fun, isn’t it?”

(He grins, leaning back in his chair.)

“In the end, we were all working towards the same goal, a world where software is free for all to use, share, and improve. And that’s a goal worth fighting for, wouldn’t you say?”

if I’m leading a project, I avoid this by begging POs to give me a sprint 0 where i solo code out all the scaffolding ground work before all the other engineers join the project.

a slice a suck I used to say

I used to prostitute myself in class for people’s slices

KOLANAK!

red hat

no

tldr it’s all pain and red hat owns your soul.

yo dawg I’m not telling you what to think but what you’re saying is the fundamental thing the county is made of time and time again. you’re just saying these things as a way to see the voices of the big blue building that sacrifices and sacrifices for what? you don’t even know.

we should have the journalists harvest every single tuna in the ocean and sell it at a high cost to consumers. the money generated from this will go directly to the news industry. this way, we can enjoy delicious tuna while we read the news without any concern about tunas in the ocean anymore. the only catch (no pun intended) is the news related might be a little biased and some people might not like tuna. both don’t sound like a huge concern when you get high quality journalism.

Philip de Franco did a better help sponsor and his community went up in arms about it. now he doesn’t touch it with a 10 foot pole. surprised more communities don’t care about it

thank GOD the trump news broke or else this would’ve been major

too bad. get back to work, single mf

I knew the artist VVG pretty personally

That’s a great starting point! Your scraped data from Threads and Instagram can be a valuable resource for exploring AI/ML. Here’s a general roadmap to get you started:

• Understand Your Data: Before diving into AI/ML models, it’s crucial to understand your data. Analyze the content you scraped from Threads and Instagram. What format is it in (text, images, videos)? What kind of information does it contain (captions, comments, user data)?

• Choose an AI/ML Approach: Based on your data and goals, you can explore different AI/ML techniques. Here are some options to consider:

  • Text Analysis: If your data is text-heavy, you can use natural language processing (NLP) to analyze sentiment, topics, or emerging trends. -Image Recognition: If you have a lot of images, you can use computer vision to identify objects, scenes, or classify images based on their content.

• Start Simple: Begin with well-established algorithms like linear regression or decision trees. These can provide valuable insights without requiring deep learning expertise.

• Utilize Online Resources: There are plenty of online tutorials and courses that can introduce you to AI/ML concepts. Platforms like Google Colab offer free computing resources to experiment with code. Remember, this is an ongoing learning journey. Start with small steps, explore different resources, and don’t be afraid to experiment!

oops thought we were talking about emacs this whole time. sorry ignore me and forget this ever happened.