“The danger of the future is not that machines will begin to think like humans, but that humans will begin to think like machines.”
— Sydney J. Harris | #CognitiveOffloading
I have a confession to make, and it’s embarrassing: my spelling and grammar have gone directly into the toilet over the last eighteen months.
It didn’t happen because I suffered a head injury, and it didn’t happen because I suddenly forgot how the English language works. It happened because modern Large Language Models have gotten so terrifyingly good at parsing whatever phonetic slurry I vomit into the prompt box that my brain simply stopped bothering with syntax. When you’re in the zone, trying to push progress forward at 100 miles per hour, you realize the machine doesn’t give a damn about commas, capitalization, or whether you used “their,” “there,” or “they’re.” It interprets your chaotic garbage with surgical precision.
So, in the sacred name of momentum, all writing discipline went out the window. My prompts look like a drunk raccoon ran across a mechanical keyboard at 3:00 AM. And because the AI spits back a pristine, articulate answer every single time, my brain’s laziness circuit got a big, juicy hit of dopamine. That was warning shot number one.
1. Using a Nuke to Hammer a Nail
There is a specific kind of modern insanity where you commit staggering, planetary-scale computational overkill just because the input box is sitting open on your second monitor.
Case in point: last week I needed a corporate logo for a rapid prototype mockup. In the sane, pre-AI world, the protocol was elementary. You open a new browser tab. You type the company name into Google Images. You click “Tools,” filter by “Color: Transparent,” right-click the PNG, and drag it into your canvas. Time elapsed: 8 seconds. Compute expenditure: roughly 0.00004 watt-hours.
Instead, what did I do? Like an absolute lunatic, I opened Midjourney and burned through an ungodly cluster of liquid-cooled enterprise GPUs in a remote data center to hallucinate a synthetic approximation of a logo that already exists on six thousand free public CDNs.
It is the literal definition of using a thermonuclear warhead to hammer in a picture hook.
It brings out our worst, most slothful human impulses. But if you have ADHD like I do, AI doesn’t just make you lazy; it puts your hyper-fixation engine into uncontrolled redline. In the past, having a weird technical itch came with built-in speed bumps. If I wanted to resurrect an obscure 1998 PC abandonware game by reverse-engineering the binary to patch memory leaks on modern x86_64 silicon, the sheer friction of tooling would usually talk me out of it by midnight. Or I would get tired of it and find some new shiney project to work on.
Now? The friction is dead. The barrier between “I wonder if I could decompile this DLL” and “Holy shit, it’s compiling” has shrunk to twenty minutes. It’s intoxicating. It hands you superpowers, but it also leaves you at 4:00 AM with nineteen half-deployed GitHub repos, four domain names you just registered, and an attention span that looks like a shredded tire.
2. Telemetry and Studies: Is AI Actually Rotting Our Brains?
It turns out that creeping sensation of mental flabbiness isn’t just self-loathing. It’s measurable neurology.
Cognitive psychologists have tracked cognitive offloading for years. Its the process of delegating memory and processing to external hardware. But recent research from the MIT Media Lab put hard telemetry to it. By hooking participants up to EEG monitors during analytical writing exercises, researchers found that users who outsourced synthesis and drafting directly to generative AI registered the lowest levels of frontal lobe engagement compared to those doing standard manual search or raw writing. When you eliminate the sweat of structuring an argument, your neural retention flatlines.
The starkest breakdown of this dynamic comes from a landmark working study conducted by Wharton researchers Hamsa Bastani, Osbert Bastani, and Alp Sungu: Generative AI Can Harm Learning. They tracked thousands of high school students tackling STEM curriculum under controlled conditions:
- The Crutch Effect (Raw LLM Access): Students given unfettered access to standard ChatGPT solved 48% more practice problems during study drills. They felt invincible. But when they sat down for independent proctored exams without the AI, they bombed—scoring 17% worse than students who had never touched an AI tool at all. They had confused the bot’s competence with their own.
- The Tutor Effect (Scaffolded Guidance): When the researchers constrained the model to act as a Socratic tutor, refusing to spit out answers, providing conceptual hints, and forcing the student to execute the logic it all reversed.
The empirical takeaway is brutal in its clarity: Using AI to generate your answers rots your brain. Using AI to interrogate your own thinking sharpens it into a scalpel.
3. The Gentrification of the Web: RIP to My 90s Fantasy Football Site
Beyond our frying synapses, there is an aesthetic tragedy unfolding across the internet: the wholesale murder of human weirdness in web design.
AI has caused the commoditization of frontend engineering. Anyone with twenty bucks and an API key can prompt a responsive web application into production. On paper, that democratization is a miracle. In practice, because these models are trained on the median aesthetic consensus of Silicon Valley venture-capital pitches, every single new website looks exactly the damn same.
You know the look: rounded Bento box grids, pastel blur gradients, 48-pixel floating sans-serif headers, and acres of empty glassmorphism panels that display four pieces of data across an entire 27-inch 4K monitor. It is sterile, corporate, AI maximalist beige.
Here is my villain origin story: I belong to a fantasy football league that has been running uninterrupted since the early 1990s. For over two decades, our league was hosted on an independent platform that had not touched its UI codebase since roughly 2002. It was glorious. It had raw HTML tables. It had high information density. It wasn’t flashy like the ESPN or Yahoo apps, but you could see every roster, matchup, and waiver wire transaction on a single screen with zero latency.
Two weeks ago, we logged in for our annual draft. Some well-meaning developer had clearly taken a prompt-to-code tool and unleashed a full AI-maximalist overhaul across the entire stack. Everything was hidden behind floating accordion menus. Player cards took up half the viewport. The draft board looked like an uninspired SaaS landing page for an enterprise cloud analytics suite. I wanted to throw my mac book through the drywall.
I miss the jagged, unpolished edges of human web design. I miss ugly, bespoke utilities built by people who cared about solving an actual problem rather than showing off how many animated CSS backdrop-filters their framework could render before your laptop fans spun up.
4. Incident Review: Where the Leverage is Unbeatable
So am I ready to smash my silicon and retreat to the woods? Not yet. Because when you strip away the Silicon Valley marketing slop, the real-world operational multipliers are staggering. In my own life, AI has become needed in two high-stress domains:
A. The Cybersecurity Degree Grind
I am currently grinding through my Bachelor’s degree in Cybersecurity. In technical domains, relying on an LLM to write your assignments is suicide. I wouldn’t survive a single live technical interview or certification exam. But using it as an adversarial sparring partner? Fuck me.
Think about the historical shift: our parents went from thumbing through microfiche and library card catalogs to querying early AltaVista and Yahoo. That leap compressed weeks of research into hours. AI represents that exact same generational leap forward. When I’m analyzing packet captures in Wireshark, auditing firewall configurations, or staring at x86 disassembly, I don’t ask the model for the answer. I have it spin up targeted diagnostic quizzes, explain obscure RFC edge cases, and challenge my mitigation logic. It turns passive cramming into active, high-tempo red-teaming. Though I admit sometimes I just want the answer.
B. First-Generation “AI Parenting” at 2:00 AM
My wife and I have zero family living nearby. When our kid wakes up at 2:15 AM screaming inconsolably with an unusual symptom, or when a bizarre behavioral curveball hits at school, our parents aren’t always awake or available on speed dial.
We are among the very first generation of human beings raising children with large language models on our nightstands. I plan to write an extensive standalone piece on this dynamic, but the candid reality is that AI has been an indispensable, unflappable triage partner. It doesn’t replace our pediatrician, or any required professional but it does lend the proverbial hand. The reason it works is simple is pretty simple. I grew up in the era where teachers docked full letter grades if you failed to cite primary sources, and where quoting Wikipedia was treated like academic treason. That battle-tested reflex is permanently hardwired into my nervous system: Trust, but verify. Hopefully thats the same in todays school but I have a feeling its not.
5. Postmortem: Cutting Through the Hype
Let’s be real about Big Tech’s current rhetoric: the venture-backed sales pitch is 80% breathless bullshit. AGI is not showing up next Tuesday to take your job, write your novels, and solve the heat death of the universe. The hype is suffocating, and the grifters are out in force. Yet, sneering at the technology and pretending it’s a useless toy is just as stupid. Across infrastructure engineering, vulnerability research, and everyday household triage, the practical leverage is real, permanent, and compounding. It sucks because peoples lives will and are being affected.
The dividing line isn’t technological; it’s behavioral. If you use AI as a mental couch potato machine to avoid the sweat of thinking, it will hollow out your grammar, dull your reasoning, and turn your creative output into generic corporate sludge. But if you treat it like an on-demand sparring partner and you force it to test you, question you, and accelerate the hard work, it’s the most potent tool since the invention of the compiler.
Keep your grammar tight. Respect the struggle. And for the love of God, leave the 2002 fantasy football layouts alone.
Authors Note: I am trying to get back into writing posts. For reasons already listed here I need to keep my brain challenged or I am going to end up typing everything in wingdings. I look forward to chatting with everyone again and keeping my little piece of the internet lively and green.
