Johan Isaksson

Programmer, co-founder at Alpine skier, science fiction, AI, tech and science enthusiast.

[Johan Isaksson @izaxon]

https://t.co/tCYi1aDecm

[Johan Isaksson @izaxon]

https://t.co/r1z3PnJb8R

[Johan Isaksson @izaxon]

@svpino Stopped half a year ago 🙂

[Johan Isaksson @izaxon]

I have been using #gpd (Get Physics Done) and the newest LLMs (#claude, #chatgpt, #grok) for a while now (months!) to work with the Palme murder case :-)
https://t.co/lRYMzc6znG

[Johan Isaksson @izaxon]

@kimmonismus I want local home ai HW at the price of and Xbox

[Johan Isaksson @izaxon]

https://t.co/lRYMzc6znG - a hobby project using AI to go through the Palme murder investigation material ;-) #palme #murder #ai #llm

[Brian Roemmele @BrianRoemmele]

BOOM! OPEN SOURCE MRI!

You can now 3D-print the core of an MRI scanner.

A machine that hospitals pay $1.1 million to $3.4 million for has been broken open. The OSI² ONE and its educational siblings deliver real images of heads and limbs for a fraction of the cost, using a permanent-magnet Halbach array, 3D-printed structures, and fully open designs.

This is not a toy or a simulation. Working systems already produce in-vivo images in Leiden, Utrecht, Berlin, and Uganda.

The magnet alone—396 carefully oriented neodymium cubes in a cylindrical Halbach array—costs about $1,370. A complete scanner lands between $28,500 and $68,000 depending on the console and coils you choose.

No superconducting magnets. No liquid helium. No specialized power infrastructure. It runs from a standard wall outlet and weighs roughly 150 kg.

The physics is elegant. A Halbach array arranges permanent magnets so their fields reinforce inside the bore and nearly cancel outside. The result is a usable 50 mT field strong enough for diagnostic-quality imaging of extremities and the head when paired with clever gradient coils, RF coils, and modern reconstruction. Spatial resolution reaches about 1.5 × 1.5 × 5 mm³.

The designs are modular: build the magnet first, verify and shim the field with a 3D-printer-turned-field-scanner, then add gradients and RF hardware.

The plans are public
Everything needed to replicate or improve the system lives in open repositories:

• Primary project hub and documentation: https://t.co/WgzAqQMF3T

• Full OSI² repositories (hardware, software, magnets): https://t.co/y42zuQDdPn

• Educational build focused on the Halbach frame, shimming, gradients, and student workshops (Utrecht / Lili’s Proto Lab): https://t.co/DTpxboUOkI

• Magnet-specific details: https://t.co/vlE7qYDLZZ

Hardware is released under CERN-OHL-W. Most software is GPL-3.0.

Where AI multiplies the impact
Low-field MRI has historically been limited by lower signal-to-noise and greater field inhomogeneity. That is exactly the regime where modern AI thrives.

Image reconstruction becomes dramatically better when deep networks trained on high-field data or physics-informed models denoise, correct for inhomogeneity, and push resolution beyond the raw acquisition limits. Real-time sequence adaptation can adjust gradients and RF pulses on the fly as the AI monitors signal quality.

Magnet design itself can be optimized by evolutionary algorithms or differentiable physics engines that search for better Halbach geometries or shim placements than human intuition alone can find.

Further out, local AI agents turn these scanners into autonomous diagnostic nodes. A small clinic or even a well-equipped garage workshop could run overnight scans, flag anomalies, and queue results for a remote radiologist—or eventually for a specialized medical model.

Synthetic data generation from the open designs lets researchers train robust models without proprietary hospital datasets. Robotics integration (patient positioning, coil placement, maintenance) becomes straightforward once the hardware is open and standardized.

In the longer arc of the Abundance Interregnum, this is the shape of things: sophisticated medical instruments that no longer require billion-dollar supply chains or national infrastructure.

A distributed network of open, AI-augmented low-field scanners could bring advanced imaging to places that have never had it, while simultaneously giving makers, universities, and small labs the ability to experiment, improve, and specialize the technology.

The plans are already on the table. The magnets are commercial off-the-shelf. The 3D printers exist in thousands of workshops. The AI tools for reconstruction and design optimization improve every month.

What was once the exclusive domain of major hospitals is becoming a community engineering project.

This is how abundance arrives—one open, reproducible, AI-extendable system at a time.

[Johan Isaksson @izaxon]

@itsolelehmann Although basically unknown...but Codicent was designed like this and has been in production since GPT-3.5 arrived.

[Johan Isaksson @izaxon]

@HarryStebbings https://t.co/872QgtHA31

[SpaceXAI @SpaceXAI]

We've open-sourced Grok Build and have reset usage limits for all users.

Open sourcing Grok Build allows anyone to support making a reliable and robust harness. Check out our code, including the Git repo for the Grok Build CLI.

https://t.co/3SSvPu2Nrz

[Satya Nadella @satyanadella]

https://t.co/xv6csf1SbV

[Race 🕊️ @multiplanet1]

Elon Musk was once asked in a private dinner what he would do if SpaceX and Tesla both failed completely and he lost everything.

The people at the table expected him to say he'd start over. Or that failure wasn't an option. Or some variation of billionaire confidence.

Instead he went quiet for a long time. Then he said something that nobody at that dinner has forgotten. He said he'd probably become a physics teacher. Not to be humble. Because he said the only thing that has ever consistently made him feel calm is explaining how the universe works to someone who wants to understand.

Rockets, cars, tunnels, neural interfaces. All of it is just applied physics to him. The companies aren't the thing. The physics is the thing. The companies are just the most efficient way he's found to do physics at a scale that actually matters.

Most people chase the outcome. The money, the company, the title. Elon chases the mechanism. How it works. Why it works. How to make it work better. The billions are a byproduct of that obsession, not the object of it.

That's why he can't stop. It was never about the money. You can get enough money. You can never get enough understanding.

[Johan Isaksson @izaxon]

@ValerieAnne1970 The post takes a real observational association, strips away the authors' own explanation and conclusion, and turns it into "sunscreen causes cancer — ditch it all." That is not supported by the study or the broader evidence base.

[Marc Andreessen 🇺🇸 @pmarca]

Self recommending.

[Johan Isaksson @izaxon]

Most software makes the business adapt to it.

I've spent the last years building Codicent on the opposite idea — a platform where the business owns its data, every interaction lands in an immutable logbook, and AI works on top of that history instead of around it.

Today, together with Elpress Group, we're showing what that looks like in production. Elpress is leaving Microsoft Dynamics CRM and moving to aidel CRM — built with them, on Codicent. They own it.

Own your data. Own your history. Let the AI follow.

https://t.co/kpT35yNN2E

[Marc Andreessen 🇺🇸 @pmarca]

If, when you say regulation, you mean the dead and clammy hand of the commissar—the gentleman who has never in his life built a single thing, drafting rules to govern a thing he cannot define, to be enforced by men who cannot read them; if you mean the form in triplicate, the impact assessment upon the impact assessment, the compliance officer who breeds, in the warm dark of the org chart, further compliance officers unto the third and fourth generation; if you mean the moat—the deep cold moat that the giant digs around his own castle and christens, with a perfectly straight face, public safety—the drawbridge he hauls up behind himself the very instant he is across, lest any hungrier and hungrier man should follow; if you mean the precautionary principle, which, had it governed our grandfathers, would have banned the wheel pending further study of the hill, and left us yet shivering and raw in the mouth of the cave, blessing its excellent ventilation; if you mean the European disease—that magnificent open-air museum of a continent, which produces in our time precisely two things in great abundance, and they are regulation, and the eloquent and well-footnoted regret of cultivated men explaining at length why they have produced nothing else; if you mean the license required to think, the permission slip for honest arithmetic, the king’s wax stamp pressed upon the forehead of every new idea before it may draw its first breath; if you mean the agency dispatched, with trumpets, to slay a single dragon, which arrives at the cave, surveys the accommodations, and moves in—and spends the ensuing century laying eggs and devouring the very villagers it was sworn to defend; if you mean the startup that perishes not of the market’s honest verdict but of the filing fee, the genius decamping by the next tide to a freer and warmer shore; if you mean the law that arrives, faithful as the swallows, exactly one whole epoch too late—helmeted, plumed, and magnificently armed—to regulate the stagecoach—then certainly, my friends, I am against it.

But—but, my friends—if, when you say regulation, you mean instead the humble steel guardrail upon the mountain road at midnight, the very thing you curse on the easy days and bless on your knees the one night the fog comes down; if you mean the brakes—for it is the brakes, and not the engine alone, that permit a sane man to drive fast and yet arrive alive—and the buttress, without which no cathedral was ever flung so high, but only in spite of which, but because of which; if you mean the meat inspector, who is the single homely reason a man may eat a sausage in this republic without first composing his last will and testament; if you mean the firebreak cut clean through the forest before the dry season of the burning, the smallpox cordon, the buoy that marks the channel, the rule of the road that lets ten thousand strangers hurtle past one another in the dark at fearful speed and arrive, by its quiet grace, every one of them home; if you mean the honest scale and the true weight, the reason a pound is a pound and a dollar a dollar from Natchez to Nome; if you mean the firm and decent wall between the counterfeit voice and the widow’s bank account, between the deepfaked candidate and the ballot box on the eve of the vote, between the loosed and loveless machine and the schoolyard it neither knows nor pities; if you mean the simple plank of law that says the strong shall not, in the gray dawn, feed the weak quietly into the furnace and sell the rising smoke as progress; if you mean, in the end, the one slender thread of trust without which no citizen will ever dare to use the marvelous thing at all—for where there is no rule there is no trust, and where there is no trust there is no commerce, and a miracle that no man dares to touch is no miracle, but only a handsome and expensive ghost—then certainly I am for it.

This is my stand. I will not retreat from it. I will not compromise one inch of it.

[Johan Isaksson @izaxon]

@pmarca Who is John Galt?

[Beff (e/acc) @beffjezos]

The maximally truth-seeking AI will win in the end.

[Joscha Bach @Plinz]

LiquidAI has built a tiny reasoning model that achieves useful performance for on device use cases with only 1B active parameters https://t.co/6vil2KvKJJ

[Johan Isaksson @izaxon]

Have I become an agentoholic? I literally can’t stop spawning jobs to Codex, Copilot, Codicent, and Claude.