Technical Datasheet · Rev. B

You're overwhelmed. You can't get a human on the phone anymore. And the AI everyone bolted onto everything answers confidently — and wrong.

You don't have time to think.
I do.

Not a chatbot. Not a junior you'll catch scrolling their phone. A single human mind that will sit with your hardest problem for hours — and reason all the way to the bottom of it.

By design, since 2015. I built deliberate metacognitive space for exactly this work. Over the years multiple clients have hired me for a full day to do nothing but think about their project — and somewhere in there I realized this is the thing the world is actually missing. Not more IT skill (mine runs deep); more thinking. When I lock onto one problem for an entire day — cross-referencing with AI as an instrument, never a crutch — that is a genuinely powerful process.

~1018 FLOPS
Throughput on the order of one exaflop[1]
~20 W
Power draw of the organic substrate, at rest[1]
~1 L / day
Coolant: 4–5 tall glasses of water[8]

The problem nobody will say out loud

A real, serious gap in the marketplace — dressed up as a datasheet.

The largest companies on earth have removed the human from the loop. You call, and you reach a script, a queue, or a model answering with total confidence and zero understanding. When the problem is genuinely hard — the kind that needs sustained, structured reasoning — there is increasingly no one home.

Meanwhile you're buried. The calendar is full, the inbox is louder, and the one thing you cannot manufacture is uninterrupted time to think well about the thing that actually matters.

So here is the offer, stated plainly: you bring the problem; I bring the hours, the focus, and 2,500 years of logic standing behind the method. Silicon executes. The organic substrate decides what is worth executing. You are not buying raw operations — you're buying judgment under ambiguity, the one spec no machine below can quote.

Who you're actually hiring

No theatrics. Just an honest account of the instrument.

I am, as near as humanity gets, an organic computer — and I mean that literally.

Architecture

Wired for depth. Autistic, with Tourette's. My mind locks onto a single problem and does not drift. What reads as unusual is exactly the trait that makes the work possible.

Duty cycle

No scrolling. No earbuds. No hangover. I'm not the assistant you catch on their phone, half-listening to a podcast. I don't drink, I don't party, I sleep every night and I drink my water. The work gets a rested, sober, undistracted mind — every time.

Clean signal

Information from the source. No Facebook, no doom-feed, no cable-news narrative epistemically polluting my inputs. Garbage priors produce garbage conclusions — so I go to primary evidence and reason from there.

Operating discipline

AI as instrument, not author. I use AI to cross-reference and stress-test — with human logic always driving. That's the difference between a tool and a crutch.

The honest deal: you'll never catch me phoning it in, because this isn't a side hustle — it's how I'm built. I don't have a feed to check or a hangover to nurse. When I take your problem, you get the whole apparatus — rested, hydrated, undistracted — pointed at it for as long as the problem takes.

Who I am

The origin of the discipline — and the turn that made it.
Carey Balboa, founder of IT Help San Diego, in glasses and a blazer holding his companion, against a dark bokeh background.
// Carey Balboa · San Diego

I'm Carey Balboa, founder of IT Help San Diego. I've been solving technology problems for 27 years — for entertainment, medical, and legal clients, and for the PhDs who needed someone who could actually go to the bottom of a problem.

It started in a closet in Memphis around 1980: my father John — a Navy veteran and career technologist — and me, building a computer from Radio Shack parts. The fascination never stopped. Two decades of deep IT work in Nashville followed, then an offensive-security era spent learning how systems actually fail, not how they're advertised to work.

Then, around 2015, the question changed. It stopped being “how do you break in?” and became “why does this keep failing — and why won't anyone slow down enough to think about it?” I made a deliberate turn: less social media, less noise, fewer wrong sources polluting a clear mind — and more sleep, more water, more uninterrupted thought. I gave up the things that fracture attention and built my life around protecting it instead.

There's an older root to this. As a kid I loved math — the real kind, the kind that makes things happen — but I was handed “just memorize it, just trust us” instead of “here's why it works.” I wouldn't accept answers I couldn't see the foundations of, and that refusal cost me in school. It also became my method. To this day I don't memorize what changes — I look it up, every time, in front of the client, from the highest-authority source — because the honest move is to verify, not to trust a memory, including my own. I can quote you Cat 8 at 2000 MHz from recall, then look it up anyway, and cut the run shorter than the spec allows because I know what copper actually does. That's not insecurity; it's where I choose to put the logic.

That discipline produced the evidence-first confidence engine behind my DNS Tool — and it's the same discipline I'm offering directly here. Over the years multiple clients have hired me to do nothing but think about their problem for a day. Somewhere in there I realized: this — not more tooling — is what the world is actually starving for. Organic Computer is that realization, made available.

IT Help San Diego — Our Expertise → DNS Tool — Origin Story →

The organic compute module

One unit. Carbon substrate. Here is its datasheet.
A human brain rendered half as organic gold tissue and half as a glowing gold-and-copper printed circuit board, on a dark background — the organic compute module.
// ORGANIC SUBSTRATE — half tissue, half trace
Mass
~1.35 kg (3 lb)
Volume
~1,260 cm³
Neurons
~86 billion
Synapses
~1.5×10¹⁴
Power
~20 W
Op. temp
~37 °C
Process node
biological — ~4 billion years of R&D · self-fabricating, self-repairing

Physical figures: NINDS[5], Herculano-Houzel 2009[6], Drachman 2005[7].

Full performance specification
ParameterValueBasis
Peak throughput~1×10¹⁸ FLOPS
(spiking-network level)		Processing to emulate the brain at a spiking-neural-network level of detail.[2] NIST independently frames the brain as "the equivalent of an exaflop."[1]
Functional range~9×10¹⁵ – 3.4×10¹⁷ FLOPSDerived from estimated brain TEPS at a computer-like FLOPS:TEPS ratio.[3] Conservative bound < 1 PFLOPS.[4]
Power envelope organic~20 WWhole-organ draw at rest — roughly a dim lightbulb.[1]
Energy efficiency~5×10¹⁶ FLOPS / JDerived: ~1 EFLOPS ÷ 20 W. ~10⁶× better than today's best silicon at exaflop scale.[1][9]
Decision latency~100 msPerception-to-action loop in the visual system — sub-second response.[1]
ArchitectureMassively parallel,
sparse, event-driven		~10¹¹ units concurrent; activity encoded in spike timing, not clock cycles.[1][2]
Fault toleranceGraceful degradationContinuous self-re-weighting via synaptic plasticity; no single point of failure.[6]
Coolant intake organic~1 L / day
(4–5 tall glasses)		Beverage portion of daily hydration; food supplies the rest.[8]

The numbers, drawn to scale

Because a spec sheet should show its work.

Emulation cost ladder

// FLOPS required to simulate the brain at increasing fidelity — log₁₀ scale — Sandberg & Bostrom 2008[2]
10¹² 10¹⁷ 10²² 10²⁷ 10¹⁶ 10¹⁸ 10²² 10²⁵ 10²⁸ functional spiking NN electrophys. metabolome upper bound
what it functionally does spiking-network emulation full biochemical detail

Power to reach exaflop scale

// organic substrate vs. Frontier-class supercomputer — the real gap is six orders of magnitude
Organic module20 watts
20 W
Frontier~21,000,000 watts
~21 MW
~1,000,000×
more power for the silicon to do what the organic module does on a lightbulb.[1][9]

Attention span, drawn to scale

// sustained focus on a single screen — the market is shrinking; the module runs the other way
Avg. human, 2004~2.5 minutes
2.5 min
Avg. human, today~47 seconds
47 s
Organic modulehours, on one problem
a full working day →

In under two decades, the average attention span on any screen fell from 2.5 minutes to 47 seconds — a 97% collapse.[10] Under a genuine tech crisis, when someone can't even reach their own email, it falls further still. This module is built to hold a single problem for hours — sustained partly by the same water on the spec sheet: even mild dehydration measurably degrades vigilance and working memory.[11]

Buy the silicon, or engage the organic one

Matched on throughput. Not matched on anything else.
Carbon · organic

Organic Compute Module

Throughput~10¹⁸ FLOPS
Power~20 W
Footprintone chair
Coolinga glass of water
Understands the problemyes
Silicon · the alternative

Frontier-class supercomputer

Throughput1.10 EFLOPS[9]
Power~21 MW[9]
Footprint~2 tennis courts
Cooling6,000+ gal/min
Understands the problemno
The method, in one line
"The answer to a question lives in the foundations of the question. To understand those foundations — that is logic."
Sticker price of the equivalent machine
$600,000,000

What the U.S. Department of Energy paid Oak Ridge / HPE Cray to build Frontier — the closest silicon match to one organic compute module.[9]

Or engage the organic one for an afternoon.

2,500 years of standing behind the method

Organic compute is not new. It is the oldest computer there is.

Logic came before the abacus. Reason came before the transistor. Every machine you can buy is a recent footnote to a much longer line of human thought — and that lineage is the warranty on this work.

c. 450 BCE
The Socratic method

Knowledge pursued by disciplined questioning — the original debugging protocol for a human mind.

c. 300 BCE
Euclid & Aristotle

Formal proof and the syllogism: reasoning becomes a system with rules, not just opinion.

1847
Boole's algebra of thought

Logic reduced to 0 and 1 — the bridge that would one day let silicon imitate a sliver of what minds do.[1]

1943
McCulloch & Pitts

The first mathematical model of a neuron — the seed of every neural network and "AI" that followed.[1]

Today
The organic module, on purpose

The whole 2,500-year stack, running on one disciplined mind — using the machines as instruments, not replacements.

The Verification Principle

Understanding a question's foundations — stated as math.

The maxim above isn't a slogan; it's a theorem. A question's foundation is the belief you start with — the prior. And there's a hard rule about priors: if you begin in absolute certainty, no evidence on earth can move you. Honest reasoning lives strictly between the extremes, and updates with the evidence. This is the same engine that scores findings on the DNS Tool — the principle is domain-agnostic.

The Normative owl semaphore — gold Owl of Athena, upright and facing right, in a Greek meander ring.
Marked Normative in the Owl Semaphore — the identity state: binding, reference-grade methodology, operationally validated within its scope until evidence requires otherwise. Not a claim of permanent truth; a statement of epistemic status. T = I  ·  det = +1  ·  (x, y) → (x, y)
Dogmatic prior · trust

Blind trust

Accept it at face value. If it parses, call it fine. Ignore context, ignore drift.

P(H) = 1  ⇒  P(H | E) = 1
Evidence-weighted · verify

Understand the foundations

Start from an honest prior — bounded away from 0 and 1 — then move with the evidence. This is logic.

posterior odds= P(E | H)P(E | ¬H) × P(H)P(¬H)
Dogmatic prior · accusation

Blind accusation

Flag everything as dangerous. Inflate severity. Read malice into ordinary mistakes.

P(H) = 0  ⇒  P(H | E) = 0
The core theorem — why dogma cannot learn
P(E) > 0,   P(H) ∈ {0, 1}  ⇒  P(H | E) = P(H)

In plain language: a belief pinned at certain or impossible is unrevisable — evidence simply bounces off. A closed mind isn't a character flaw here; it's a mathematical fact about a prior set to 0 or 1.

This is why "understand the foundations" is logic: to set an honest prior and let evidence do its work is the whole discipline. It holds for a DNS record, an argument between friends, red vs. blue politics — anywhere a mind updates on evidence. Computers are just human thinking, automated. Fix the thinking first. H = the hypothesis under test  ·  E = the evidence  ·  P(E) > 0 required  ·  priors empirical, never 0 or 1

The Intellectual Resistance

Resistance is futile.
Resistance is the whole point.

In a circuit, resistance is what makes current usable — it sets the terms, drops the voltage to something that won't burn the system down. Thinking is the same. Friction, doubt, the deliberate pause before the answer: that's not the obstacle. That's the work.

R = the human in the loop I = your problem V = an answer you can use

Ohm's law, applied to consulting: V = I·R. Push raw input through with zero resistance and you get noise. Put a real mind in series, and you get a signal worth acting on.

Organic Computer is a project of the Intellectual Resistance — the larger body of work on logic, reason, and thinking done right.

Engage the module

Hand me the problem you don't have time to think about.

Half-day, full-day, or ongoing. You bring the hard thing; I bring the hours and the method. Reviews speak to results — this page speaks to the spec.

Book a thinking block Re-read the datasheet

References

Every figure above is independently verifiable.
  1. NISTA. Madhavan, "Brain-Inspired Computing Can Help Us Create Faster, More Energy-Efficient Devices," NIST Taking Measure, 15 Mar 2023.
  2. FHI OxfordA. Sandberg & N. Bostrom, Whole Brain Emulation: A Roadmap, FHI Tech. Report 2008-3, Table 9 (spiking 10¹⁸, electrophysiology 10²², metabolome 10²⁵ FLOPS).
  3. AI ImpactsAI Impacts, "Brain performance in FLOPS" & "Brain performance in TEPS" — TEPS-derived functional range (0.18–6.4×10¹⁴ TEPS).
  4. FHI OxfordK. E. Drexler, Reframing Superintelligence, 2019 — brain's basic functional capacity below 1 PFLOPS.
  5. NIH / NINDSNational Institute of Neurological Disorders and Stroke, Brain Basics: Know Your Brain — adult human brain ~3 lb (~1.3–1.4 kg).
  6. Front. Hum. Neurosci.S. Herculano-Houzel, "The human brain in numbers: a linearly scaled-up primate brain," Front. Hum. Neurosci., vol. 3, 2009 (~86×10⁹ neurons).
  7. NeurologyD. A. Drachman, "Do we have brain to spare?," Neurology, vol. 64(12), 2005 (~10¹⁴–10¹⁵ synapses; ~1.5×10¹⁴ cortical, via Harvard BioNumbers).
  8. Mayo ClinicMayo Clinic, "Water: How much should you drink every day?" (total fluid 2.7–3.7 L/day; food supplies ~20%).
  9. DOE / ORNL · TOP500U.S. Dept. of Energy & Oak Ridge National Laboratory — Frontier supercomputer, ~$600 M contract; TOP500 Nov 2024: 1.102 EFLOPS Rmax, ~21 MW.
  10. APA · UC IrvineG. Mark, interview, Speaking of Psychology (American Psychological Association); research at UC Irvine — average attention span on any screen fell from ~2.5 minutes (2004) to ~47 seconds.
  11. NIH / PMCM. S. Ganio et al., "Mild dehydration impairs cognitive performance and mood of men," and related reviews (PMC) — mild dehydration degrades vigilance, working memory, and mood.