Academy K

04 / Enrol

How enrolment works

Three steps. Joining the list is free. The payment link comes later, by email.
  1. 01

    Join the waitlist

    Free. No payment, and no commitment. Tell us which tracks you are interested in: one, two or all three, or say you are not sure yet.

  2. 02

    Confirm your seat in November

    In November you get an email with a payment link. The first cohort is $24.99 per course (founding price). Later cohorts are $49.99 per course. Prices are in USD. The payment link covers the tracks you chose on the waitlist form. Seats are confirmed in the order payments come in. Nothing is paid on this site.

  3. 03

    Start in December

    A 4-week self-paced course starts in December and runs into the first week of January, with a break over the holidays and the end of the year. There are 8 optional live sessions with a human expert in the field: a kickoff and seven more.

Free to join. Nothing to pay now.

Giving back50% of proceeds go to Kardashev Research and related initiatives.

01 / Price

Founding price

First cohort

$24.99

Founding price, per course, USD. Limited to 25 people per course.

Later cohorts

$49.99

Per course, USD, after the first cohort.

Price by number of tracks, USD
TracksFirst cohortLater cohorts
One track$24.99$49.99
Two tracks (10% off)$44.98$89.98
Three tracks (15% off)$63.72$127.47
Giving back50% of proceeds go to Kardashev Research and related initiatives.

Choose your tracks on the waitlist form. Your seat in each one is confirmed through the November payment link.

Each course is limited to 25 people. The payment link is sent by email around November, about four weeks before the December start.

02 / Tracks

Three courses

Same length, same price, different subject. Pick one or more on the waitlist form, or choose Not sure yet.
  • 01

    Quantum Computing

    Qubits, circuits, algorithms and error correction. You start with linear algebra and end with working programs.

    Four weekly blocks, 8 modules

  • 02

    AI / SI

    How modern AI is built, trained, evaluated and constrained, from gradient descent to the superintelligence question.

    Four weekly blocks, 8 modules

  • 03

    Thermodynamic Computing

    Probabilistic hardware, energy-based models and what a bit costs in joules.

    Four weekly blocks, 8 modules