Sieg

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For software engineers, AI wont replace you that easily because people with zero understanding of your craft are waking up every day shipping ideas they don't fully grasp, and building things they won't be able to maintain long term. Eventually, those systems break. And when they do, they won't call the AI. They'll call someone who actually understands what's going on. So, you're not being replaced. You're becoming the person who fixes what others rushed to build and that's if you keep growing in knowledge.

Code cleanup is incredibly tedious, and no...I’m not using AI for it. It’s the kind of work that feels slow and annoying in the moment, but I know my future self will be grateful for it.

i will never understand clowning someone for trying man. so many losers in the world that attach their own self worth to shit that doesnt matter.

@PatrickLestat @prospercode Best response I've seen so far

@prospercode devs keep thinking they're building for themselves lol.

There are a lot of noticeable differences when you compare a React Native app to Flutter...

One thing I don't understand is why Finder is always open on a MacBook

Let's goo!!!

It’s always the employed ones preaching online that AI will take all the jobs and how doomed we all are.

@yacineMTB Oneplus 15?

i need a new phone. what should i get

We went from software development to software engineering to vibe coding...can't wait to see vibe engineering. Yeah I'm a Vibe Engineer. Lmao

@andres_vidoza I'm much more interested in the laptop. What laptop is that?

Linux is amazing but its absolutely not an OS for most people.

@protosphinx So.. what's AGI supposed to be

AGI is not coming. We are nowhere near AGI. What we have today is inference, not learning. Models get trained once on huge fixed datasets, then frozen. You ask questions, they remix patterns they already saw. Nothing updates. Nothing sticks. Talking to the model does not make it smarter. It does not learn from you. Ever. Learning is still slow, expensive - and offline. Look at self driving. You drive around a pothole, make a U turn, and come back. The car’s AI does not learn that you just solved that exact problem. It reacts the same way every time using sensors and rules. Do this 20 times a day and it still has zero memory that the pothole exists. It just re sees it. That is why edge cases never die. There is no local learning. No accumulation. No 'oh yeah, I’ve seen this before' LLMs work the same way. Tell it your name and it does not remember. The only reason it looks like memory is because scaffolding keeps shoving your name back into the prompt every time and sanitizing the output. The model itself has no idea who you are and cannot learn from interaction. It is structurally incapable. And the scaffolding is the worst part. It is pure duct tape. Just prompts on prompts on prompts around a frozen model. When something breaks, nobody fixes learning. They add another layer. Another rule. Another retry. Another evaluator model judging the first model. So you end up with systems that are insanely complex but mentally shallow. Debugging is hell because behavior comes from hack interactions, not a learnable core. Tiny prompt tweaks cause wild behavior shifts. Latency goes up. Costs go up. Reliability goes down. None of this compounds into intelligence. It just hides the cracks. Until we have real persistent learning and real memory inside the system, there is no AGI. LLMs are not built for this. You cannot prompt your way out of it. You need a totally different architecture. Yann LeCun is right. And even then, what architecture can actually learn online, store memory, and stay stable on today’s hardware? Best case, maybe 5-10 yrs. Right now it is all inference. It looks magical, but the emperor has no clothes. A lot of people see it. Almost nobody says it out loud.

Startup people have no idea what is being built in big tech. You're talking about companies that gave the world React, VS Code, Kubernetes, Bazel etc. Their engineering blogs are a testament to human ingenuity. These are not CRUD factories. In SDE, there are creators and consumers. Most of the consumers are overhyping LLMs. They deserve the hype but not like this.

@Kay2506 Wow, a leopard attempting to fly... you don't see that everyday

The mountain goat is not an easy prey for the leopard

@daniel_mainn IPhone cameras make you look more natural and doesn't light you up like it’s 2PM especially if you're a black person. On IPhone, if it's dark, it stays dark, buh on Samsung if it's dark, it becomes semi-dark😂😂..not tryna be racist buh yeah. Also that light glare...sheesh

Samsung has the best Camera, no iPhone comes close.

@DeeWestMoney @mymixtapez Damn!!!😂😂

@mymixtapez I guess the brain surgery didn’t work out.

Woman says her boyfriend nursed her for over a year after brain surgery, even cleaning her waste, but now she wants to leave him, feeling unappreciated for not being taken on a date!! 👀🤯

Human slop is far better than AI slop. At least when humans write messy code, it’s still understandable, debuggable, and can be easily improved.

Third time AI tried to rm -rf my codebase and also clear my db.....nice

GPT, Claude and Gemini should consider having a wrapped if they haven't. Lol

@charlesmore25 Samdroid then???

Samsung is not android Samsung is not android Samsung is not android Samsung is not android Samsung is not android

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