The Computomatix Times

Scientists confirmed humans are not born afraid of snake. The fear is taught.

Jo Nagai was raising swallowtail butterflies at his home in Kobe, Japan, when he noticed something odd. The ones he had looked after as caterpillars seemed to recognize him. Wild butterflies fled. His didn't.
He was in second grade. He wrote a four-page letter to Dr. Martha Weiss, an entomologist at Georgetown University who had studied whether moths could retain memories through metamorphosis. He asked if she could help him design a version of her experiment for butterflies.
She said yes.
Using a muscle therapy device, Jo trained caterpillars to associate the scent of lavender with a mild vibration. When the caterpillars became butterflies, 70 per cent of them still avoided the lavender. Their brains had been completely rebuilt during metamorphosis. The memory survived anyway.
Then he bred them.
The offspring, which had never been trained, also avoided lavender. So did their grandchildren. Without ever experiencing the vibration, two generations of butterflies inherited an aversion to a scent their grandmother had been taught to fear.
Jo documented it all in a 33-page research paper and presented his findings at the International Congress of Entomology in Kobe in 2024. He was 10.
A second grader wrote a letter to a Georgetown professor, and together they found evidence that butterflies can pass memories down through generations.

-Wilderness Whisper

I’m so excited to share this update on @Conception –

We’ve generated the first early human eggs derived from stem cells.

This is a big deal -- the potential to redefine fertility is real.

I'm a cardiologist. I've spent twenty years as the person patients trust to interpret their bodies. And I need to tell you something that most physicians won't say out loud:

AI is about to change the power dynamic between you and your doctor. Forever.

Four days ago, OpenAI's o3 model diagnosed 18 children with rare diseases that the best human specialists at Boston Children's Hospital couldn't solve — some after nearly twenty years of searching. Published in the New England Journal of Medicine.

Two weeks ago, WashU researchers proved that nine routine blood markers can calculate your biological age — and predict cancer risk years before any tumor forms. A free calculator. Available to anyone.

Last month, AI-enhanced coronary CT angiography detected inflamed arteries in patients whose standard stress tests said "normal." Patients who would have gone home reassured and wrong.
The pattern is unmistakable. The tools that used to require a specialist, a referral, a three-month wait, and a $400 copay are migrating into your phone, your bloodwork portal, and your own hands.

And I'm watching something in my practice I never expected.
Patients are walking in more informed than some of the residents I trained. They've run their PhenoAge score. They know their ApoB. They've read the study about Lp(a) before I've had time to bring it up. They come with questions so specific that the conversation starts at a level it took me years of training to reach.
This used to threaten physicians. It shouldn't. It should liberate us.
Because here's the truth about the old model: a 15-minute appointment where your doctor runs a basic metabolic panel, glances at the numbers, says "looks fine," and sends you home — that model was never good enough. It was just all we had. It missed 75% of future heart attacks. It caught cancer late. It told women with microvascular disease they had anxiety. It filed children with rare diseases as "unsolvable."

AI doesn't replace the physician. I've said this before and I mean it — the human moment, the clinical judgment, the hand on the shoulder when the diagnosis lands — that's irreplaceable.

But AI does something the old model never could: it gives you the ability to see inside your own biology with a depth and speed that was impossible a decade ago. To track your own numbers. To calculate your own biological age. To bring data to your doctor that elevates the conversation from "am I sick?" to "where exactly am I heading, and what do we do about it?"

The patient who walks in with their ApoB, their Lp(a), their hsCRP, their PhenoAge calculation, and a list of questions from the latest research — that patient doesn't threaten me.

That patient is the easiest person in my practice to keep alive.
Because they've already done the one thing most patients never do: they stopped waiting for permission to understand their own body.

I went into medicine because I wanted to help people live longer. What I've learned is that the patients who live longest are the ones who took ownership — not of my job, but of their own data, their own questions, and their own decisions.

The tools are here. The research is published. The calculators are free. The blood tests cost less than a dinner out.

You don't need to wait for your annual physical to find out what's happening inside you. You don't need permission to understand your own biology. And you don't need to accept "looks fine" from anyone — including me — when the science offers a deeper answer.

The revolution isn't coming. It's in your pocket. In your patient portal. In the published studies you can read yourself.

The only question left is whether you'll use it — or keep waiting for someone to tell you it's time.
Your body. Your data. Your life.

Take ownership. Your future self is counting on it.

I'm a cardiologist. After 40, stop guessing about your health. These numbers tell you whether you're building a long, vibrant life — or quietly declining without knowing it.

I run these on myself. I run them on every patient I care about. Most are cheap bloodwork. All are available now. And together, they paint a picture no standard annual physical will ever give you. Print this. Bring it to your next appointment. Your 60-year-old self will thank you.
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𝗙𝗮𝘀𝘁𝗶𝗻𝗴 𝗜𝗻𝘀𝘂𝗹𝗶𝗻
Target: below 5 μIU/mL. Ideal: 3-4.
This is the 10-year warning bell your standard panel completely misses. Your glucose and A1c can look "normal" for a decade while your pancreas is working overtime to keep them there. Fasting insulin catches insulin resistance 5-10 years before your A1c moves. By the time A1c rises, the damage is already extensive.

𝗛𝗢𝗠𝗔-𝗜𝗥
Target: below 1.0.
Calculated from fasting insulin and fasting glucose. The single best measure of insulin sensitivity. Above 1.0 and your metabolism is already under strain. Above 2.5 and you're insulin resistant — even if every other number looks fine.

𝗛𝗯𝗔𝟭𝗰
Target: below 5.4%.
Not below 5.7% — that's the threshold where medicine calls you "prediabetic." By then you've been metabolically compromised for years. Optimal is below 5.4%. Blood sugar mastery is longevity mastery.

𝗧𝗿𝗶𝗴𝗹𝘆𝗰𝗲𝗿𝗶𝗱𝗲 : 𝗛𝗗𝗟 𝗥𝗮𝘁𝗶𝗼
Target: below 2. Ideal: below 1.
Your metabolic health crystal ball. This ratio predicts insulin resistance, cardiovascular risk, and metabolic syndrome better than any single lipid number alone. A ratio above 3.5 is a red flag regardless of what your total cholesterol says.

𝗔𝗽𝗼𝗕
Target: below 80 mg/dL for moderate risk. Below 60 for high risk.
I've written about this extensively. ApoB counts every atherogenic particle hitting your artery walls. A 2024 analysis found 54% of patients had dangerous levels that standard LDL testing completely missed. If you only know your LDL, you're driving with one eye closed.

𝗟𝗽(𝗮)
Test once in your lifetime.
100% genetic. 1 in 5 Americans are elevated. Triples heart attack risk independently of everything else on this list. Diet and exercise cannot lower it. The 2026 ACC/AHA guidelines now recommend everyone be tested. Most never have been.

𝗵𝘀-𝗖𝗥𝗣
Target: below 1.0 mg/L.
You can have perfect cholesterol and inflamed arteries silently preparing to rupture. hs-CRP measures the fire behind the plaque. The JUPITER trial proved that finding and treating inflammation saves lives — even when lipids look fine. If this number is elevated, your mouth, your gut, your metabolic health, and your visceral fat are the first places to investigate.

𝗩𝗶𝘁𝗮𝗺𝗶𝗻 𝗗
Target: 50-80 ng/mL.
Not the bare minimum of 30 your doctor accepts. Suboptimal vitamin D is linked to higher inflammation, weaker immunity, increased cardiovascular events, worse mood, and poorer outcomes across nearly every disease I treat. Supplement D3 with K2 — without K2, calcium deposits in your arteries instead of your bones.

𝗧𝗲𝘀𝘁𝗼𝘀𝘁𝗲𝗿𝗼𝗻𝗲 (𝗧𝗼𝘁𝗮𝗹 + 𝗙𝗿𝗲𝗲)
Men: optimal range 600-1000+ ng/dL total.
Declining testosterone is an independent predictor of cardiovascular death in men. It's tied to insulin resistance, arterial stiffness, visceral fat accumulation, and systemic inflammation. DHEA-S drops 10-20% every decade after 30. Tracking these isn't about vanity — it's evaluating your body's systemic resilience.

𝗕𝗹𝗼𝗼𝗱 𝗣𝗿𝗲𝘀𝘀𝘂𝗿𝗲
Target: below 120/80. Aim closer to 110/70.
Every point above optimal is cumulative arterial damage. Buy a home cuff. Measure morning and evening, seated quietly for five minutes, arm at heart level. White-coat readings in the office miss what's really happening. The smartest $40 investment in cardiac self-care.

𝗩𝗢𝟮 𝗠𝗮𝘅
Men over 40: above 40 mL/kg/min. Women over 40: above 35.
Cardiorespiratory fitness is the single strongest predictor of all-cause mortality — stronger than smoking, diabetes, or heart disease as individual risk factors. A landmark study in JAMA found that extreme fitness was associated with the lowest mortality with no upper limit of benefit. You can estimate VO2 max with a timed mile, a rower test, or a wearable. Get faster every year.

𝗡𝘂𝗺𝗯𝗲𝗿 𝗼𝗳 𝗠𝗲𝗱𝗶𝗰𝗮𝘁𝗶𝗼𝗻𝘀
Target: as few as possible.
Every medication you're on should be earning its place. I just wrote about five commonly prescribed drugs that do more harm than good with long-term use. Bring your full medication list to every appointment. Ask: "Do I still need this?" Deprescribing is one of the most powerful and underused tools in medicine.
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Thirteen numbers. Most available through cheap bloodwork and simple tests. Get them once or twice a year. Here's what I want you to understand: these numbers don't just tell you where you are. They tell you where you're heading. A fasting insulin of 8 today becomes diabetes in five years. An ApoB of 120 today becomes a heart attack in ten. An hs-CRP of 3 today means your arteries are inflamed right now — regardless of how healthy you feel. The standard annual physical checks a fraction of these. It was designed to find disease that's already there. This panel finds the disease that's coming — years before it arrives.

What gets measured gets improved. Optimize with the foundation I write about every week on this platform:
Zone 2 cardio plus resistance training 3-4 times per week. High-protein whole-food nutrition. Sleep 7-9 hours — non-negotiable. Morning sunlight. Stress management. And the targeted supplements I've covered in detail — creatine, magnesium, CoQ10, D3+K2, glycine, omega-3, psyllium husk.
The breakthroughs coming in the next decade — gene editing for cholesterol, cellular reprogramming, senolytics that clear senescent "zombie" cells driving inflammation and aging, GLP-1 drugs rewriting metabolic medicine — will be most powerful for people who've already built the metabolic foundation to receive them.

The future of medicine is personalized. But it starts with knowing your numbers today. Print this list. Book the bloodwork. Own the data. Prevention isn't passive. It's the most aggressive thing you can do for the decades ahead.

India just did something the rest of the world hasn't. On June 26 at Kalpakkam, we switched on the world's first plant that makes hydrogen from nuclear heat. Not electricity. Heat. Built at home. Here's why that's a bigger deal than it sounds

🤯 Midjourney -- yes, the AI image company -- just shipped a brand new type of imaging machine. 🤯

- 100x faster than an MRI.
- 10x cheaper.

Full body scanned in 60 seconds instead of an hour in a tube. Ultrasound based, MRI-level resolution.

And it's real -- not a concept, a working machine. You step into a shallow pool of warm water, a ring of half a million sensors sends sound through your body from every angle, and ~60 seconds later you have a 3D map of your insides down to a fraction of a millimeter. No radiation, no tube, no lying still.

They're not even building it as a hospital machine -- they're building a spa. The scan is a side-effect of a place you'd want to hang out anyway.

Lastly, it is built by 9 people. NINE PEOPLE.

You can just do things.

And now for the good news...

Just about any reasonably healthy 50 year-old can train their body to be fit enough to push their VO2max north of 50.

And yet...

Only ~5% of men and ~1% of women will.

Be a part of that few percent.

Your future self will thank you.

I wore an Apple Watch, Whoop, Oura, and Fitbit Air at the same time for a week.

I expected the data to be similar but did not expect this.

Here's what every wearable owner needs to know:

New paper: every law in America is technically public. But not really, until now!

With @DenisPeskoff at UC Berkeley, we built a corpus of ~every publicly accessibly city and county law, and released a huge chunk of it!

2.2 million laws, you're (probably) covered in it!

🧵

I promise you that if you build your life around sleep, everything you care about will get better.

High quality sleep is like a daily dose of the world’s best longevity drug.

Sleep is key for...

+ will power
+ self control
+ sex
+ mood
+ recovery
+ focus
+ appearance
+ work
+ life

My sleep data last night

+ 4+ hr restorative
+ 53% total sleep restorative
+ resting heart rate 42 (elite athlete)
+ no sleep stress
+ no wake events
+ asleep in 2 min

It feels incredible. Gives me the powers of stamina, focus, motivation, discipline and love.

For fun, I made a sleep facts nutrition panel.

The sleep crash course:

1. Final food 4 hours before bed
2. Screens off 60 min before bed
3. Same bed time every single day
4. Light in eyes in am
5. Exercise daily, even if for 20 min

Here’s the key: make these habits non-negotiable in your life.

Build your life around sleep and I promise everything you care about will get better.

Please, please read this news thoroughly, for your own sake. I experienced chest discomfort only when I started to run at higher speeds, and it subsided when I just walked or was at rest. That's called 'stable angina' (or stress angina). Unhealthy cholesterol levels, high(er) blood pressure, diabetes are some of the causes for this - in my case, it was unhealthy cholesterol levels, long undetected, while my blood pressure, conversely, continues to be on the lower side because of my running... which my doctor confirmed as healthy since I wasn't experiencing associated fatigue. And I'm prediabetic too, as I discovered during the blood tests for my procedure.

Rana seems to have carried his 'chest discomfort' for 3 days, after which it was too late for any intervention. This is a thin line for most people because it is very easy to mistake a 'discomfort' for stomach acidity, physical symptoms like muscle strain, or even 'heartburn' (which is quite literal!). In a way, I obsess over my daily run more so for this - to include a reasonably stress-inducing activity every day (since there is none) to see if I feel completely alright with it. This helped me identify that I did experience something unusual and it needed medical intervention. And since I felt normal if I stopped the source of stress (running at a faster speed), I ignored it for about a week. But since it persisted exactly only when I stressed, I realized that I was going through something predictably unusual and that needed a check. This 'discomfort' was not a pain at all, ironically. It felt, at best, as a steady tingling sensation on my shoulders and neck - nothing close to my heart! All the more reason to ignore it. But it occurred every single time I stressed myself by increasing the speed of my run, and subsided if I just walked at a slower pace.

Related reading - Two blocks and a second chance tinyurl.com/2stents

I’m an AI researcher turned brain tumor patient, and recently I used the models to crack my mystery fatigue faster than my PCP could.
I believe everyone can do the same with their own symptoms. Here’s how:

This is biblical.

A woman in her eighties. Ten years into Alzheimer's. Hadn't spoken a full sentence in five years.

Takes one, 5 gram dose of psilocybin.

She slept 19 hours and woke up and spoke for hours about her life, recognized family and held real conversations. She regained bladder control after five years, walked on her own. and dressed herself. Gains held for weeks.

They finally figured out muscle fibers for robots so we can stop using motors.

I’ve always believed the No.1 application of AI should be to improve human health.

That work started with AlphaFold, and now at @IsomorphicLabs with the mission to reimagine drug discovery and one day solve all disease!

We are turbocharging that goal with $2.1B in new funding.

Demis Hassabis says he can cure every disease in 10 years.

Most people roll their eyes when they hear this, but I don't.

Demis is the guy who just won the Nobel Prize for solving protein folding with AI (a problem biologists had been stuck on for 50 years).

But that was just one milestone in his much grander plan.

In 2010, he founded DeepMind with a 2-part mission: "solve intelligence, then use it to solve everything else."

Step 1: make AI good enough to do real science.
Step 2: point that AI at humanity's biggest problems.

Step one was AlphaFold.

He used AI to figure out the 3D shape of every protein in nature (which is basically what every drug attaches to).

Demis said it would have taken "a billion years of PhD time" to do by hand.

Step two is curing all disease.

And as of today, step two is fully funded.

Isomorphic Labs (his AI drug discovery company inside Google) just raised $2.1B led by Thrive Capital.

Here's where the money goes and what Demis thinks happens next:

> Drug discovery currently takes 5-10 years and costs billions per drug. That math is why most diseases don't have good treatments today.

> AI fixes the math. Their drug design engine compresses development from years to months. Maybe weeks.

> Isomorphic's first AI-designed cancer drug enters human trials this year.

> Their pipeline expands beyond the current 17 programs across cancer, immune diseases, and heart disease into more health domains.

> The endgame is personalized medicine: drugs designed overnight for your specific biology and your specific disease.

That last one is the whole point.

Today's drugs are mass-produced for an "average" patient who doesn't really exist.

So most existing treatments work inconsistently from person to person, and most rare diseases never get a treatment at all (no market = no drug).

When drug design gets fast and cheap, that whole calculus flips.

Cancer variants get drugs designed for that specific variant, rare diseases get treatments because economics stop mattering, and drug-resistant infections get new drugs faster than they can evolve.

That's what curing every disease actually looks like.

Now imagine what your life looks like in 2036.

A doctor draws your blood, sequences your genome, sends your disease profile to an AI.

By morning the AI has designed a custom drug for your specific biology.

Side effects, dosage, drug interactions all worked out before you take the first pill.

You and your kids never see a cancer ward.

That's what $2.1B is buying today.

Demis was right about AlphaFold.

If you consider the possibility that he's right again, every disease alive today is on borrowed time.

These three IIT Madras scientists are insane.

Their startup Sthyr Energy is literally turning electricity into metal.

Which you can keep for months and turn it back into electricity when you need it.

And this is incredibly huge.

Let's break this down.

Right now, India alone generates enough renewable energy to power countries like France.

But we can either use it as soon as its generated or its lost forever.

Because no one has figured out a way to store electricity for more than a few hours at scale.

If Sthyr's solution works - we won't just be able to store it for years but we could also transport it on roads - without creating any new infrastructure.

And it would change how the world uses electricity forever.

I wish i knew this years ago. I've had one shoulder surgery already, and refused to do another becuase the recovery was so brutal...and now that i'm doing this...thank goodness that I didnt!

Your shoulder pain might have a free solution. And it sounds almost too simple to be true.

Hanging from a bar.

According to Wolff's Law, you can actually change the shape of a bone based on the degree of mechanical loading. Dr. John Kirsch discovered that when you hang from a pull-up bar, you impose enough force to start reshaping a bone in your shoulder blade called the acromion.

Years of bad posture and the weight of our arms literally HOOK this bone, and it pinches everything in your shoulder when you raise your arms overhead.

In his research, 90 out of 92 patients avoided surgery just by hanging consistently. That is a 98% success rate. And it costs zero dollars!

Now here is the catch. You need to hang for longer than a minute to see real benefits. If you cannot hang that long yet, start with your feet still on the ground, sink into it, and build from there.

Shout out to Scott Bailey for this incredible breakdown. Give him a follow if you want to move better and feel better in your body.

#ShoulderPain #Hanging #WolffsLaw #Mobility #TransformNation #ChrisPowell 💪🏼

1/2 This 1948 paper also has the first “generative AI” model of any kind - all modern LLMs can trace back their origins to what was written in this paper.

Today is a monumentous day for quantum computing and cryptography. Two breakthrough papers just landed (links in next tweet). Both papers improve Shor's algorithm, infamous for cracking RSA and elliptic curve cryptography. The two results compound, optimising separate layers of the quantum stack. The results are shocking. I expect a narrative shift and a further R&D boost toward post-quantum cryptography.

The first paper is by Google Quantum AI. They tackle the (logical) Shor algorithm, tailoring it to crack Bitcoin and Ethereum signatures. The algorithm runs on ~1K logical qubits for the 256-bit elliptic curve secp256k1. Due to the low circuit depth, a fast superconducting computer would recover private keys in minutes. I'm grateful to have joined as a late paper co-author, in large part for the chance to interact with experts and the alpha gleaned from internal discussions.

The second paper is by a stealthy startup called Oratomic, with ex-Google and prominent Caltech faculty. Their starting point is Google's improvements to the logical quantum circuit. They then apply improvements at the physical layer, with tricks specific to neutral atom quantum computers. The result estimates that 26,000 atomic qubits are sufficient to break 256-bit elliptic curve signatures. This would be roughly a 40x improvement in physical qubit count over previous state-of-the-art. On the flip side, a single Shor run would take ~10 days due to the relatively slow speed of neutral atoms.

Below are my key takeaways. As a disclaimer, I am not a quantum expert. Time is needed for the results to be properly vetted. Based on my interactions with the team, I have faith the Google Quantum AI results are conservative. The Oratomic paper is much harder for me to assess, especially because of the use of more exotic qLDPC codes. I will take it with a grain of salt until the dust settles.

→ q-day: My confidence in q-day by 2032 has shot up significantly. IMO there's at least a 10% chance that by 2032 a quantum computer recovers a secp256k1 ECDSA private key from an exposed public key. While a cryptographically-relevant quantum computer (CRQC) before 2030 still feels unlikely, now is undoubtedly the time to start preparing.
→ censorship: The Google paper uses a zero-knowledge (ZK) proof to demonstrate the algorithm's existence without leaking actual optimisations. From now on, assume state-of-the-art algorithms will be censored. There may be self-censorship for moral or commercial reasons, or because of government pressure. A blackout in academic publications would be a tell-tale sign.
→ cracking time: A superconducting quantum computer, the type Google is building, could crack keys in minutes. This is because the optimised quantum circuit is just 100M Toffoli gates, which is surprisingly shallow. (Toffoli gates are hard because they require production of so-called "magic states".) Toffoli gates would consume ~10 microseconds on a superconducting platform, totalling ~1,000 sec of Shor runtime.
→ latency optimisations: Two latency optimisations bring key cracking time to single-digit minutes. The first parallelises computation across quantum devices. The second involves feeding the pubkey to the quantum computer mid-flight, after a generic setup phase.
→ fast- and slow-clock: At first approximation there are two families of quantum computers. The fast-clock flavour, which includes superconducting and photonic architectures, runs at roughly 100 kHz. The slow-clock flavour, which includes trapped ion and neutral atom architectures, runs roughly 1,000x slower (~100 Hz, or ~1 week to crack a single key).
→ qubit count: The size-optimised variant of the algorithm runs on 1,200 logical qubits. On a superconducting computer with surface code error correction that's roughly 500K physical qubits, a 400:1 physical-to-logical ratio. The surface code is conservative, assuming only four-way nearest-neighbour grid connectivity. It was demonstrated last year by Google on a real quantum computer.
→ future gains: Low-hanging fruit is still being picked, with at least one of the Google optimisations resulting from a surprisingly simple observation. Interestingly, AI was not (yet!) tasked to find optimisations. This was also the first time authors such as Craig Gidney attacked elliptic curves (as opposed to RSA). Shor logical qubit count could plausibly go under 1K soonish.
→ error correction: The physical-to-logical ratio for superconducting computers could go under 100:1. For superconducting computers that would be mean ~100K physical qubits for a CRQC, two orders of magnitude away from state of the art. Neutral atoms quantum computers are amenable to error correcting codes other than the surface code. While much slower to run, they can bring down the physical to logical qubit ratio closer to 10:1.
→ Bitcoin PoW: Commercially-viable Bitcoin PoW via Grover's algorithm is not happening any time soon. We're talking decades, possibly centuries away. This observation should help focus the discussion on ECDSA and Schnorr. (Side note: as unofficial Bitcoin security researcher, I still believe Bitcoin PoW is cooked due to the dwindling security budget.)
→ team quality: The folks at Google Quantum AI are the real deal. Craig Gidney (@CraigGidney) is arguably the world's top quantum circuit optimisooor. Just last year he squeezed 10x out of Shor for RSA, bringing the physical qubit count down from 10M to 1M. Special thanks to the Google team for patiently answering all my newb questions with detailed, fact-based answers. I was expecting some hype, but found none.

Many are wondering "what Google saw" that caused them to revise their post-quantum cryptography transition deadline to 2029 last week. It was this:

research.google/blog/safeguarding-cryptocurren…

The world's most-watched sex expert just broke down what's actually destroying your sex life, your testosterone & your lifespan.

Here are the 10 wildest things she exposed (THREAD):

(1/10) People who have sex once a week live 49% longer...

When I was consulting for @HBO Silicon Valley, zero-loss compression was the holy grail Richard Hendricks chases that perfect middle-out algo could shrink everything w/out breaking a single bit.

Google just did something even more practical for the AI era: TurboQuant compresses LLM key-value caches down to 3 bits per value using random orthogonal rotation + PolarQuant scalar quantization & optional 1-bit QJL residual correction.

=>> 6× memory reduction, up to 8× faster attention (on H100), & 0 degradation on LongBench, Needle-in-a-Haystack, and RULER for models like Gemma. No retraining, no calibration needed.

Fiction just got out-engineered by reality. 😅💚💚