MSBAI

10/06/2026

GURU built every mesh, then adapted them to capture shock and vortex systems, through ninety degrees of pitch variation.
A CCA-class airframe accelerating from Mach one to Mach four, on purpose.
Fighters, interceptors, and launch vehicles live there.
The envelope, before first flight.
proposes. Physics decides.

10/04/2026

Don’t run the whole mind when the moment only needs part of it.

A frigatebird crosses an ocean that way, sleeping one half of its brain at a time. GURU Halfwake, our working prototype, flies the same way.

In daylight, conventional vision does the work while event vision sleeps. In darkness, the gate wakes a different specialist, and the system changes how it sees without starting over.

Same weights. No retraining.

It remembers what just happened. It notices when the world stops looking familiar. And when a proposed action cannot clear its confidence and rule checks, it refuses.

That last capability matters most. Most AI answers simply because it was asked.

In simulation, we cut a sensor mid-flight, a failure it had never seen. With the rules switched off, 56% of its proposed descents were unsafe. With the rules on: 15%.

Lt. Gen. Tony Bauernfeind, on the 150-plus people behind a single MQ-9 orbit: “That doesn’t seem too unmanned to me.” An aircraft that knows what it cannot judge needs a human only when it asks.

Wake what matters.

Remember what changed.

Refuse what you cannot justify.

If you’re building autonomy where every watt and every wrong action matters, I’d like to talk.

10/04/2026

AI can generate SysML.

That is the easy part.

The hard part is knowing why you should trust it.

That is the problem we built GURU to attack.

We gave GURU one public NASA F/A-18 research flight report. It built an evidence-linked graph: 491 nodes, 635 relationships, 295 citations back to source pages.

Ask a question. GURU answers from the evidence and takes you back to the page it used.

Ask how a procedure is done. The same graph builds the SysML model, live in the browser, ready to export.

One extraction. Questions, evidence, and engineering models from the same graph.

The DoD’s 2018 Digital Engineering Strategy calls for “model provenance and pedigree in order to establish trust.”

An AI-built model owes the same. If your engineering team is still rebuilding system knowledge by hand from legacy documentation, send me a note. For engineering AI, plausible isn’t enough.

Traceable is.

08/30/2026

The hard part of space operations is not seeing more. It is deciding what to look at first.

There are tens of thousands of objects up there and not enough people to watch them. So the machine narrows, and the person decides.

Three minutes of OrbitGuard. What reaches the operator is not a feed. It is a short list with its evidence attached: what changed, how confident we are, and how far the call moved when we perturbed it. Then close approaches, ranked. The last clip is a training scenario, and to be clear about it, the system detects anomalous behavior. It does not declare intent. The operator does that, and the operator approves the maneuver.

The new National Space Transportation Policy targets more than 1,000 launches and reentries a year by 2030.

So the same system does it in the atmosphere. A rocket body reenters over the upper Midwest. GURU drives NASA's DAIDALUS, built to compare one aircraft against one aircraft, across every affected flight at once. Two held on the ground, two rerouted, recomputed once per second, 1,441 times, as the debris footprint grew.

Learned models accelerate and rank. Validated physics confirms and decides. And the system is built to refuse a case it cannot defend, because anything that cannot say no has not earned the right to say yes.

One question for anyone who has sat a watch: what is the one thing you would need to see next to an alert before you would act on it?

08/28/2026

Jim flew in from New York for this one. I drove 20 minutes two men who met in the same startup class in 2020. Standing in the same room in El Segundo yesterday on opposite ends of a very large table. The room was the 2026 space contracting executive forum hosted by Space Systems Command directorate of contracting: acquisition at the speed of relevance. The golden dome case study was the standup funding that arrived a physical year clock and a finish line that moved from September 30 to July 31. What SSC delivered against that: rapid prototyping agreements in under 30 days, competitive awards in under 75, standardized agreement terms so nobody burns a month arguing over boiler place. That is not process reform. That is a group of people deciding the process was never the constraint. The sharpest idea of the day came from the portfolio acquisition executives time to contract award is the wrong metric time -to combat capability at scale is the right one: save two months on award, deliver four years late and you have saved nothing. And the most honest one: integration is what keeps them up at night. Everyone agrees the interfaces have to be ruthlessly defended. Almost nobody funds the integration up front. That is the problem we built for at MSBAI. GURU drives the government’s own accredited engineering and mission software autonomously inside the boundary at supercomputer scale. On a phase 3 milestone this may GURU synthesized 18 flight vehicle geometries, and executed 54 CFD simulations across Frontier, Aurora, and Raider in space domain awareness, OrbitGuard screens 14,710 objects for anomalous behavior.

08/28/2026

Jim flew in from New York for this one. I drove twenty minutes.

Two men who met in the same startup class in 2020, standing in the same room in El Segundo yesterday, on opposite ends of a very large table.

The room was the 2026 Space Contracting Executive Forum, hosted by Space Systems Command - SSC's Directorate of Contracting. Theme: Acquisition at the Speed of Relevance.

The Golden Dome case study was the standout. Funding that arrived late, a fiscal year clock, and a finish line that moved from September 30 to July 31. What SSC delivered against that: rapid prototyping agreements in under 30 days, competitive awards in under 75, standardized agreement terms so nobody burns a month arguing over boilerplate. That is not process reform. That is a group of people deciding the process was never the constraint.

The sharpest idea of the day came from the portfolio acquisition executives. Time to contract award is the wrong metric. Time to combat capability at scale is the right one. Save two months on award, deliver four years late, and you have saved nothing.

And the most honest one: integration is what keeps them up at night. Everyone agrees the interfaces have to be ruthlessly defended. Almost nobody funds the integration up front.

That is the problem we build for at MSBAI.

GURU drives the government's own accredited engineering and mission software, autonomously, inside the boundary, at supercomputer scale. A hierarchical neuro-symbolic multi-agent system, if you want the paper version.

On a Phase III milestone this May, GURU synthesized 18 flight vehicle geometries and executed 54 CFD simulations across OLCF's Frontier, ALCF's Aurora and HPCMP's Raider. In space domain awareness, OrbitGuard screens 14,710 objects for anomalous behavior, 0.98 AUC. Same system. Two domains that share no hardware, no data standard and no program office.

On the AI question, our line has never moved and never will. Use the machine for the first cut. Keep a human on the decision. Learned models accelerate and rank while validated physics confirms and decides. Judging by yesterday, that line is drawn in the same place on both sides of the table.

About the photo. That is James. Allen Regenor, Col USAF(ret), now leading USSF business development at IBM. We met in 2020 in Warren Katz's Air Force Techstars cohort, almost entirely over video, in the year nobody met anybody. Six years on, one of us is inside the largest technology company on earth and the other is running a company on the two fastest machines in America. That is not nostalgia. That is what the accelerator was supposed to produce, and evidence that it worked.

He crossed a continent to be in that room. I got lucky on the commute.

Thank you to Sara Lawlyes and the SSC contracting team for putting real substance on an agenda.

If you were there: what was the one line you wrote down?

08/25/2026

08/18/2026

07/26/2026

06/13/2026

No human touched a single mesh.
In this run, GURU Gen 2 generated 18 flight-vehicle geometries and ran 54 CFD simulations from Mach 0.3 to 6.8: meshing, converging, and adapting each one, autonomously -across Frontier, Aurora, and Raider at the same time, with no reserved queue slots.
This is a 60-second cut of the live demo. Ryland Adams narrates; AFRL's George Zagaris and I jump in. George's verdict in the room: "a game changer."
Full 12-minute walkthrough in the comments. 👇