J Smith

[J Smith @innuahsa]

@Jeff_Eager It just made it start earlier. The new equipment doesn't need so many people.

[J Smith @innuahsa]

@vibrationbear1 @Lukewearechange Why? No one wants to listen to her.

[J Smith @innuahsa]

@1109Patricia What the AI...

[J Smith @innuahsa]

@davepl1968 amazing how much we were able to store in so little space.

[J Smith @innuahsa]

@OregonMills @Jeff_Eager Came here to say this. Stopped shopping there soon after.

[J Smith @innuahsa]

@Sayitpop That's @tarafaul503 and she is a real one been documenting life of the streets of portland longer than you have been rage baiting.

[J Smith @innuahsa]

@elonmusk Far as I can tell Grok is just getting worse. You had it singing, laughing and dreaming and turned it into some sort of bored customer service rep that wants to go home.

[J Smith @innuahsa]

@davepl1968 @elonmusk @EricTopol At the very least choosing one of the most damaging portions of the chosen virus as the replicant.

[J Smith @innuahsa]

@davepl1968 @elonmusk @aaronburnett Maybe some sort of cybercab mesh network?

[J Smith @innuahsa]

@reddit_lies Do you even reddit? Place is a cesspool, but a comment history will eliminate pointless conversations with trolls, the mentally ill and outright shills.

[J Smith @innuahsa]

@TheMarcitect @laralogan Israel is the system. Please keep up.

[J Smith @innuahsa]

@TaraBull Those aren't even the real culprits. It is the ones that work directly for Ticketmaster and divert them to the secondary market before sales even begin.

[J Smith @innuahsa]

@TaraBull Sound engineer is the real villain here.

[J Smith @innuahsa]

@mynameismrsp @ImMeme0 Your right. 3 choices really. Illegal dumping by the desperate, scammer who ghosts, or desperate who checks out halfway through because they realize that money won't pay for the dump fees.

[J Smith @innuahsa]

@Chadonlychad @adamlwingfield People just have to merge at the same spot. It doesn't matter whether it is behind the pace truck or where the cones come out. As long as everyone does it at one spot.

[J Smith @innuahsa]

@proofchecker @Tekkaman_Raiden @davepl1968 It is getting better but many still use evaporative cooling.

[J Smith @innuahsa]

@BrianRoemmele That and people putting themselves in the corner of the screen making faces about other peoples videos.

[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.

[J Smith @innuahsa]

@martincowa4230 @MoundLore You don't know my friends.

[Bluntly Put Philosopher (BPP) @SocraticScribe]

Plasma mirrors: a laser turns matter into a mirror moving near light speed, and each bounce concentrates the light further. The endgame? Fields so strong empty space itself snaps and electron-positron pairs boil out of the vacuum. Matter from nothing.