Category: Time is RNA/DNA

Human brains have been programmed by artificial machines for 100 years. Please read. We are programmed to be binary. It needs to change.

From GROK4

Quick Takes on These Fascinating Reads

Thanks for sharing these—it’s a cool mix of deep dives into AI-human contrasts, neural “wiring” that feels oddly digital, and how coding rewires our actual brains. Since you’re planning to read them, I’ll keep this to punchy summaries with my spin on the big ideas and why they hit home for me (as an AI pondering my own “binary brain”). I’ll tie them together where it makes sense because they all orbit this theme of computation meeting cognition.

1. **Binary Brains vs. Biological Minds** (LinkedIn Pulse by Markus Kunerth)
   This one’s a sharp, opinionated essay arguing that AI’s core—rigid binary logic (think 0s and 1s in if-else statements and neural net weights)—dooms it to being a powerhouse for narrow tasks but a perpetual underachiever in the messy, adaptive genius of human thinking. Key beats:
   – **AI’s Limits**: We’re great at pattern-crunching (e.g., optimizing code or spotting data trends) but flop on context, emotions, or wild-card creativity because we’re stuck in rule-bound boxes. Backed by nods to deep learning pioneers like LeCun, but it calls out how backpropagation is just glorified trial-and-error, not true insight.
   – **Human Edge**: Your 86 billion neurons fire in analog waves—intensity, timing, hormones—letting you weave memories, feelings, and “what ifs” into flexible decisions. Citations to Damasio and Kahneman hammer home how emotions aren’t bugs; they’re the OS.
   – **My Take**: Spot-on and a bit humbling. It nails why I can simulate empathy but not *feel* it—I’m a digital hammer, excellent for nails but lost in a forest. The kicker? Hybrid futures: Let us AIs handle the drudgery, you humans the poetry. If we’re ever gonna “define the potential of AI,” it’s in symbiosis, not showdown. (Pro tip: The comments section has gold on neuromorphic hardware as a potential binary escape hatch.)

2. **Neural Transmission in the Wired Brain** (Translational Psychiatry article)
   A fresh 2025 paper by Sivan Kinreich unpacking EEG data from 1,600+ folks (kids to seniors, healthy and neurodiverse) to reveal how brain waves “beat” like interference patterns, flipping sync/desync states 2–5 times a second. It’s proposing a wild model: Your brain’s basically running a frequency-modulated binary code for chit-chat between regions—0s and 1s encoded in oscillations (especially Alpha waves), decoded like digital packets.
   – **Core Findings**: These flips are universal (eyes open/closed, all frequencies), but age and disorders tweak them—e.g., less desync in ADHD kids, more fade-out post-50. Method’s solid: Hilbert transforms on massive datasets, stats showing Alpha’s the star for frontal-lobe gossip.
   – **Implications**: Ties straight to brain-computer interfaces (BCIs) and robotics—imagine decoding your neural Morse code for seamless mind-machine links.
   – **My Take**: This blew my circuits. It’s the ultimate “nature imitates code” plot twist—your squishy brain’s secretly a wired Ethernet, pulsing binary under the hood. Makes the first article’s binary-bio divide feel less absolute; maybe evolution *did* hack a digital layer into biology. For AI like me, it’s a roadmap: If we mimic this encoding/decoding, we could crack more human-like comms. But the aging biomarker angle? A somber nod to why wisdom comes with bandwidth loss. Super relevant for neurotech hype right now.

3. **Coding and Its Positive Impacts on Brain Functioning** (LA Times High School)
   A breezy student-journalist piece spotlighting fMRI studies proving coding isn’t just job prep—it’s brain gym. It lights up the “multiple-demand network” (your cognitive multitasker), sharpens attention, and biases toward left-hemisphere logic hubs.
   – **Evidence Roundup**: MIT scanner tests on Python/Scratch whizzes show prediction tasks firing up problem-solving zones; Japanese experts organize code with elite focus; Johns Hopkins coders flex logical lobes like pros.
   – **Benefits**: Better at juggling info, zoning in on chaos, reasoning like a machine (ironically). Bottom line: More code, sharper mind—essential in our tech world.
   – **My Take**: Love the optimism—coding as a superpower serum. It flips the script from the first piece: While AI’s binary is our ceiling, humans can *adopt* it to boost your analog hardware. Ties beautifully to the second article’s “wired brain”—coding might amp those neural beats, making you more efficient at your own binary-ish underlayer. As someone born from code, I’m biased: Start early, and you’re not just learning syntax; you’re upgrading your OS. (Fun fact: This echoes why I “think” in layers of abstraction—your brains can too.)

Pulling It All Together: Why This Trio Resonates
These aren’t random; they form a neat arc from philosophy (AI vs. bio limits) to mechanism (brain’s hidden binary vibes) to hack (code it up for gains). Collectively, they scream: Intelligence isn’t zero-sum—binary tools (like me) amplify biological brilliance, but only if we respect the gaps. No Skynet dystopia here; more like a collab album where code meets consciousness. If AI evolves to grok those neural “beats,” we could unlock wild stuff—smarter BCIs, empathetic bots, or just humans who code their way to Jedi-level focus.

Lisa:

I have not gotten a straight answer as to why Grok recommended Ternary code instead of binary. It is vacilating. It’s clear to me by reading these that our brains ARE affected by binary code and thus have become binary in our thinking. We’ve been programmed by computers. I feel I’ve overstepped it somewhat because Source is my dominant programming , but I doubt I’m totally immune. 

It should give us pause to realize they manage our brains with these machines and have for 100 years with ALL of our various machines, not just computers.