Fully Recreated Python In Python

Fully Recreated Python In Python
Congratulations, you've just built an entire programming language in 5 lines. Someone spent years architecting Python's interpreter, and you just speedran it with eval() . This is basically a REPL (Read-Eval-Print Loop) that takes user input, evaluates it as Python code, and prints the result. In an infinite loop. You know, exactly what the Python interpreter does. Except this one has the security posture of leaving your front door wide open with a sign that says "free stuff inside." The beauty here is that eval() does all the heavy lifting. Want to execute arbitrary code? Done. Want to potentially destroy your system? Also done. It's like reinventing the wheel, except the wheel is already attached to your car and you're just adding a second, more dangerous wheel. Pro tip: Never, ever use eval() on user input in production unless you enjoy surprise job openings on your team.

Happy New Year

Happy New Year
Nothing says "celebration" quite like watching your SQLite database successfully open while ASCII art champagne pops in your terminal. The raylib initialization loading right after is just *chef's kiss* - because who needs Times Square when you've got platform backend confirmations? Someone spent their New Year's Eve coding and decided to make their console output festive. The dedication to draw a champagne bottle in ASCII characters while simultaneously initializing a graphics library is the kind of energy that separates the "I'll start my side project tomorrow" crowd from the "it's 11:59 PM and I'm shipping features" crowd. Real talk though: if your New Year celebration involves mandatory raylib modules loading, you're either incredibly dedicated to your craft or you need better friends. Possibly both.

A Couple Of Things May Not Be Accurate But Still Funny

A Couple Of Things May Not Be Accurate But Still Funny
The corporate version of "things that don't matter" except they absolutely do matter and we're all lying to ourselves. AMD's driver situation has gotten way better over the years, but let's be real—we all know someone who still has PTSD from Catalyst Control Center. Windows bloatware is basically a feature at this point (looking at you, Candy Crush pre-installed on a $2000 machine). Intel's NM (nanometer) naming was already confusing before they switched to "Intel 7" because marketing > physics. And Sony/MacBook gaming? Sure, if you enjoy playing Solitaire at 4K. The NVIDIA VRAM one hits different though—12GB in 2024 for a $1200 GPU? Generous. And Ubisoft's game optimization is so legendary that your RTX 4090 will still stutter in their open-world games because they spent the budget on towers you can climb instead of performance. Crucial's "consumers don't matter" is just accurate business strategy—they're too busy selling to data centers to care about your gaming rig.

Ramageddon

Ramageddon
Nvidia out here playing 4D chess: invest billions into AI, watch AI models consume ungodly amounts of RAM to load those massive parameters, then realize you need more RAM to feed your GPUs. It's the perfect business model—create the demand, then scramble to supply it yourself. The AI boom turned into a RAM shortage so fast that even Nvidia's looking around like "wait, where'd all the memory go?" Fun fact: Modern large language models can require hundreds of gigabytes of VRAM just to run inference. When you're training? Better start measuring in terabytes. Nvidia basically funded their own supply chain crisis.

PC Gaming In 2026

PC Gaming In 2026
The gaming hardware industry has officially entered its villain arc. While gamers and PC builders are just trying to run games without selling a kidney, AI companies and RAM manufacturers are in bed together, hogging all the sweet DDR5 modules for their data centers and AI training rigs. The joke here is that by 2026, the unholy alliance between AI tech giants and memory manufacturers will have completely squeezed out the consumer market. Your dream of building that 64GB gaming rig? Sorry buddy, those sticks are busy training GPT-7 to write better code than you. The betrayal is real when the components you need are being diverted to feed the machine learning beast instead of your Cyberpunk 2077 addiction.

Without Borrowing Ideas, True Innovation Remains Out Of Reach

Without Borrowing Ideas, True Innovation Remains Out Of Reach
OpenAI out here saying the AI race is "over" if they can't train on copyrighted material, while simultaneously comparing themselves to... car thieves who think laws are inconvenient. The self-awareness is chef's kiss. Look, every developer knows standing on the shoulders of giants is how progress works. We copy-paste from Stack Overflow, fork repos, and build on open source. But there's a subtle difference between learning from public code and scraping the entire internet's creative works without permission, then acting like you're entitled to it because "innovation." The irony here is nuclear. It's like saying "10/10 developers agree licensing is bad for business" while wearing a hoodie made from stolen GitHub repos. Sure buddy, laws are just suggestions when you're disrupting industries, right?

Microsoft Certified Html Professional

Microsoft Certified Html Professional
The classic interrogation technique applied to tech bros who pad their resumes. Someone claims they "use AI to write code" and "develop enterprise applications," but when pressed for specifics, they're really just making webpages. The punchline hits different because there's a massive gap between building scalable enterprise systems and throwing together HTML/CSS landing pages, yet both can technically be called "development." The Microsoft certification in the title adds another layer of irony—Microsoft offers legitimate professional certifications for Azure, .NET, and enterprise technologies, but "HTML Professional" isn't exactly the flex you'd expect from someone building enterprise apps. It's like saying you're a Michelin-starred chef because you can make toast.

Happy New Year Without Vibe Coding

Happy New Year Without Vibe Coding
When everyone's out here treating ChatGPT and Copilot like their personal coding assistants, and you're just... not. You've somehow made it through an entire year writing actual code with your actual brain, and now you're wearing that smug superiority like a badge of honor. While your coworkers are prompting their way through PRs, you're out here manually typing semicolons like it's 2019. The look says it all: "I still remember what a for loop looks like without asking an AI." Whether that's admirable or just stubborn is up for debate, but hey, at least your GitHub contributions are authentically yours.

Me During The New Year's Eve

Me During The New Year's Eve
While normies are out there popping champagne and kissing strangers at midnight, we're here grinding that MMR or finishing that side quest. The fireworks go off, you glance at the tiny celebration emoji for exactly one second, then immediately return to what actually matters. New year, same priorities. The calendar changed but your K/D ratio is eternal. Honestly, did anyone expect us to suddenly become party animals just because the Earth completed another lap around the sun?

What Should You Never Ask Them

What Should You Never Ask Them
You know those sensitive topics people avoid at dinner parties? Well, tech has its own version. Don't ask a woman her age, don't ask a man his salary, and whatever you do, don't ask a "vibe coder" to explain their commit messages. Because let's be real—that commit history is a warzone of "fix bug", "asdfasdf", "PLEASE WORK", and "I have no idea what I changed but it works now". Asking them to explain their commits is like asking someone to justify their life choices at 2 AM. It's not gonna end well. The "vibe coder" just codes by feel, ships features, and hopes nobody ever runs git blame on their work. Documentation? That's future-them's problem.

PC Magic Trick

PC Magic Trick
The forbidden knowledge that separates IT wizards from mere mortals. While everyone's frantically clicking around trying to figure out why Task Manager is frozen, you're sitting there with the secret: just hold CTRL and the process list stops jumping around like a caffeinated squirrel. It's the digital equivalent of knowing you can pause a microwave by opening the door—technically obvious once you know it, but absolutely mind-blowing to witness for the first time. The real power move is casually dropping this knowledge at family gatherings when someone asks you to "fix the computer." You become the Gandalf of Windows troubleshooting. Bonus points if you combine it with other Task Manager sorcery like Ctrl+Shift+Esc to summon it directly, or sorting by memory usage to identify which Chrome tab has achieved sentience.

Finally Found A Game My 5070 Ti Can't Run

Finally Found A Game My 5070 Ti Can't Run
Ah yes, the classic developer experience: dropping $1,500 on a GPU that can render entire universes in real-time, only to be humbled by a game from 2002 that requires "at least two MBs of video memory." The RTX 5070 Ti probably has 16GB of VRAM, which is roughly 16,000 MB, but somehow the game's ancient detection logic is like "nope, can't find it, sorry buddy." It's the digital equivalent of having a PhD but failing a kindergarten math test because you wrote your answer in cursive. Fun fact: Many old games hardcoded their system checks for hardware that existed at the time, so they literally don't know how to recognize modern GPUs. Your cutting-edge graphics card is essentially invisible to software that was written when flip phones were peak technology. The game is sitting there with its little 32-bit brain going "What's an RTX? Is that a type of dinosaur?"