2026-04-06 07:04:46
The best way to run AI and remain HIPAA compliant is to run it locally on your own hardware, instead of transferring protected health information (PHI) to a remote server by using a cloud-hosted service like ChatGPT or Claude. [1].
There are HIPAA-compliant cloud options, but they’re both restrictive and expensive. Even enterprise options are not “HIPAA compliant” out of the box. Instead, they are “HIPAA eligible” or that they “support HIPAA compliance,” because you still need the right Business Associate Agreement (BAA), configuration, logging, access controls, and internal process around it, and the end product often ends up far less capable than a frontier model. The least expensive and therefore most accessible services do not even allow this as an option.
Specific examples:
Running AI locally is already practical as of early 2026. Open-weight models that approach the quality of commercial coding assistants run on consumer hardware. A single high-end GPU or a recent Mac with enough unified memory can run a 70B-parameter model at a reasonable token speed.
There’s an interesting interplay between economies of scale and diseconomies of scale. Cloud providers can run a data center at a lower cost per server than a small company can. That’s the economies of scale. But running HIPAA-compliant computing in the cloud, particularly with AI providers, incurs a large direct costs and indirect bureaucratic costs. That’s the diseconomies of scale. Smaller companies may benefit more from local AI than larger companies if they need to be HIPAA-compliant.
[1] This post is not legal advice. My clients are often lawyers, but I’m not a lawyer.
The post HIPAA compliant AI first appeared on John D. Cook.2026-04-04 23:00:14
This post will look at the problem of updating an average grade as a very simple special case of Bayesian statistics and of Kalman filtering.
Suppose you’re keeping up with your average grade in a class, and you know your average after n tests, all weighted equally.
m = (x1 + x2 + x3 + … + xn) / n.
Then you get another test grade back and your new average is
m′ = (x1 + x2 + x3 + … + xn + xn+1) / (n + 1).
You don’t need the individual test grades once you’ve computed the average; you can instead remember the average m and the number of grades n [1]. Then you know the sum of the first n grades is nm and so
m′ = (nm + xn+1) / (n + 1).
You could split that into
m′ = w1m + w2xn+1
where w1 = n/(n + 1) and w2 = 1/(n + 1). In other words, the new mean is the weighted average of the previous mean and the new score.
A Bayesian perspective would say that your posterior expected grade m′ is a compromise between your prior expected grade m and the new data xn+1. [2]
You could also rewrite the equation above as
m′ = m + (xn+1 − m)/(n + 1) = m + KΔ
where K = 1/(n + 1) and Δ = xn+1 − m. In Kalman filter terms, K is the gain, the proportionality constant for how the change in your state is proportional to the difference between what you saw and what you expected.
[1] In statistical terms, the mean is a sufficient statistic.
[2] You could flesh this out by using a normal likelihood and a flat improper prior.
The post Kalman and Bayes average grades first appeared on John D. Cook.2026-04-04 00:31:54
I used the term perilune in yesterday’s post about the flight path of Artemis II. When Artemis is closest to the moon it will be furthest from earth because its closest approach to the moon, its perilune, is on the side of the moon opposite earth.
Perilune is sometimes called periselene. The two terms come from two goddesses associated with the moon, the Roman Luna and the Greek Selene. Since the peri- prefix is Greek, perhaps periselene would be preferable. But we’re far more familiar with words associated with the moon being based on Luna than Selene.
The neutral terms for closest and furthest points in an orbit are periapsis and apoapsis. but there are more colorful terms that are specific to orbiting particular celestial objects. The terms perigee and apogee for orbiting earth (from the Greek Gaia) are most familiar, and the terms perihelion and aphelion (not apohelion) for orbiting the sun (from the Greek Helios) are the next most familiar.
The terms perijove and apojove are unfamiliar, but you can imagine what they mean. Others like periareion and apoareion, especially the latter, are truly arcane.
The post Roman moon, Greek moon first appeared on John D. Cook.2026-04-03 09:38:49
I was looking through an old geometry book [1] and saw a hyperbolic analog of Napier’s mnemonic for spherical trigonometry. In hindsight of course there’s a hyperbolic analog: there’s a hyperbolic analog of everything. But I was surprised because I’d never thought of this before. I suppose the spherical version is famous because of its practical use in navigational calculations, while the hyperbolic analog is of more theoretical interest.
Napier’s mnemonic is a clever way to remember 10 equations in spherical trig. See the linked post for the meanings of the variables.
sin a = sin A sin c = tan b cot B
sin b = sin B sin c = tan a cot A
cos A = cos a sin B = tan b cot c
cos B = cos b sin A = tan a cot c
cos c = cot A cot B = cos a cos b
The hyperbolic analog replaces every circular function of a, b, or c with its hyperbolic counterpart.
sinh a = sin A sinh c = tanh b cot B
sinh b = sin B sinh c = tanh a cot A
cos A = cosh a sin B = tanh b coth c
cos B = cosh b sin A = tanh a coth c
cosh c = cot A cot B = cosh a cosh b
[1] D. M. Y. Sommerville. The Elements of Non-Euclidean Geometry. 1919.
The post Hyperbolic version of Napier’s mnemonic first appeared on John D. Cook.2026-04-02 22:14:44
The Artemis II mission launched yesterday. Much like the Apollo 8 mission in 1968, the goal is to go around the moon in preparation for a future mission that will land on the moon. And like Apollo 13, the mission will swing around the moon rather than entering lunar orbit. Artemis II will deliberately follow the trajectory around the moon that Apollo 13 took as a fallback.
Apollo 8 spent 2 hours and 44 minutes in low earth orbit (LEO) before performing trans-lunar injection (TLI) and heading toward the moon. Artemis II made one low earth orbit before moving to high earth orbit (HEO) where it will stay for around 24 hours before TLI. The Apollo 8 LEO was essentially circular at an altitude of around 100 nautical miles. The Artemis II HEO is highly eccentric with an apogee of around 40,000 nautical miles.
Apollo 8 spent roughly three days traveling to the moon, measured as the time between TLI and lunar insertion orbit. Artemis II will not orbit the moon but instead swing past the moon on a “lunar free-return trajectory” like Apollo 13. The time between Artemis’ TLI and perilune (the closest approach to the moon, on the far side) is expected to be about four days. For Apollo 13, this period was three days.
The furthest any human has been from earth was the Apollo 13 perilune at about 60 nautical miles above the far side of the moon. Artemis is expected to break this record with a perilune of between 3,500 and 5,200 nautical miles.
2026-04-01 21:23:42
Pentagonal numbers are truncated triangular numbers. You can take the diagram that illustrates the nth pentagonal number and warp it into the base of the image that illustrates the (2n − 1)st triangular number. If you added a diagram for the (n − 1)st triangular number to the bottom of the image on the right, you’d have a diagram for the (2n − 1)st triangular number.
In short,
Pn = T2n − 1 − Tn.
This is trivial to prove algebraically, though the visual proof above is more interesting.
The proof follows immediately from the definition of pentagonal numbers
Pn = (3n² − n)/2
and triangular numbers
Tn = (n² − n)/2.
