In Times Of High Prices

AI companies pitching their next model like "just give us another 500 megawatts and we'll totally achieve AGI this time, we promise." The exponential scaling of AI training infrastructure has gotten so ridiculous that tech giants are literally partnering with nuclear power plants to feed their GPU farms. Microsoft's Three Mile Island deal, anyone? The tweet format is chef's kiss—the baby doubling in size with exponential growth that makes zero biological sense perfectly mirrors how AI companies keep scaling compute and expecting intelligence to magically emerge. "Just 10x the parameters again, bro. Trust me, bro. AGI is right around the corner." Meanwhile, the energy consumption is growing faster than the actual capabilities. Fun fact: Training GPT-3 consumed about 1,287 MWh of electricity—enough to power an average American home for 120 years. And that was the small one compared to what they're cooking up now.

When someone's amazed by your technical wizardry but all you did was spend 15 years of your life staring at a keyboard with a trackpoint nub. Those little red nipples between the G and H keys have taught me more than any CS degree ever could. The silent badge of honor for those who've typed their fingers to the bone in the trenches of ThinkPad warfare.

Nobody in the history of programming has ever chosen an endianness based on performance. But choosing big endian because it "looks pretty" in a hex editor? That's the kind of arbitrary decision that haunts codebases for decades. Some dev probably made this call back in 2003 and now there's an entire team maintaining compatibility layers for it. For the uninitiated: endianness determines how bytes are ordered in memory. Little endian (0x01 0x02 0x03 0x04) reads as 0x04030201, while big endian reads naturally as 0x01020304. Absolutely nobody cares until you need to transfer data between systems, then suddenly everyone cares very much .

You know things are bad when you're literally decomposing faster than DDR5 prices are dropping. Remember when 16GB of RAM didn't cost more than your monthly coffee budget? Yeah, neither do I. Now we're all just sitting here with our 8GB setups, watching Chrome eat through it like a competitive eater at a buffet, praying to the silicon gods that maybe, just maybe, we'll see those pre-2020 prices again before we retire. Spoiler alert: we won't. The skeleton has better odds of resurrection.

The CPU is making you an offer you can't refuse, mafia-style. It demands 32x more computational resources to give you a measly 1.7x speed boost in return. This is the classic multithreading paradox - throwing massive parallelism at a problem only to get diminishing returns because some tasks just don't scale linearly. It's like hiring 32 people to dig a hole when only 2 can fit in the space. The rest just stand around drinking coffee and collecting paychecks. The purple lighting really sets the mood for this computational extortion. Your CPU is basically saying "Nice application you got there... would be a shame if something happened to its performance."

OH. MY. GOD. The absolute AUDACITY of the tech world to co-opt "vibe coding" when Buttplug.io was over here LITERALLY making devices vibrate with code since FOREVER! 💅 They're not just coding - they're controlling actual vibrating hardware while everyone else is just talking about ~vibes~. The irony is just TOO MUCH to handle! When your open-source project for intimate hardware becomes an accidental trendsetter, you know you've reached peak tech absurdity. Buttplug.io walked so Gen Z coders could run with their "vibe coding" aesthetic. The marketing department they never hired deserves a raise!