1RB0RD_0RC1RE_1RD0LA_1LE1LC_1RF0LD_---0RA
(bbch)
Lucy's Moonlight is a probviously halting tetrational BB(6) Cryptid. This Turing machine was first mentioned on Discord by Racheline on 1 Mar 2025, who afterward found a set of high-level rules describing it. Shawn Ligocki later discovered and shared a more refined set of rules, displayed below.
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0 |
1
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A
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1RB
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0RD
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B
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0RC
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1RE
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C
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1RD
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0LA
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D
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1LE
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1LC
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E
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1RF
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0LD
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F
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---
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0RA
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The transition table of Lucy's Moonlight.
Analysis
Let
. Then,

Proof
Consider the partial configuration
, which after three steps is
. To advance, this shift rule is required:

This means we have

after

steps, with

after three further steps. From here, we can use the fact that

becomes

in four steps if

to get this rule:

Using this rule produces

in

steps. With five more steps, we get

, which is also

. To summarize:

With

we have

and are able to apply this rule

times, with three possible scenarios:
- If
, then in
steps we arrive at
. The matching complete configuration is
. In
steps we have
, followed by
after three steps. We note that if
, then
becomes
in 8 steps, giving this transition rule:
In this instance, the result is
, equal to
, after
steps. This gives a total of
steps.
- We can rewrite
as
if
. Given this, we have
, and if
, then in
steps we arrive at
, which in
steps becomes
, and then
after three more steps. We end with
steps to get
, equal to
. This gives a total of
steps.
- If
and we reuse the technique of rewriting
, then in
steps we arrive at
, which in
steps becomes
, and then in five steps,
. Adding
steps gives us
, and another eight gives us
. After
steps, the configuration is
and after three more,
. We conclude with
, equal to
, after
steps, for a total of
steps.
The behaviour of Lucy's Moonlight changes at the boundary conditions:
or
. These changes are addressed below:
- If
and
, then starting from
, we take three steps to get
. It is here that another shift rule must come into use:
Upon using this shift rule, we get
in
steps. This configuration is the same as
. With 40 more steps, we end at
, equal to
, for a total of
steps.
- If
and
, then in
steps we arrive at
. With
more steps we now have
. Given five steps, the result is
, which turns into
, equal to
in
steps for a total of
steps.
- If
and
, then starting from
, we get
in three steps. Since
and
are the same, what follows is
in
steps before finally reaching
, and therefore the undefined F0
transition, in three steps. This gives a total of
steps.
- If
and
, then in
steps we arrive at
. It takes a further
steps to reach
, and adding three more gives us
. With
more steps we end up with
, equal to
. This gives a total of
steps.
- If
and
, then starting from
, we take three steps to get
, and taking
more steps produces
. After 40 steps, we reach
, which is
, for a total of
steps.
The information above can be summarized as

Substituting

, where

is the remainder of

modulo 3, yields the final result.
These rules imply a sequence
that grows tetrationally in
, which Lucy's Moonlight iterates through one by one. For each
, it reaches the configuration
and then repeatedly applies the first three rules until meeting a configuration
that satisfies the boundary conditions. If
and
is congruent to 1 modulo 3, then Lucy's Moonlight will halt; otherwise, it moves on to the next term in
.
Trajectory
Starting with
after two steps, Lucy's Moonlight repeatedly applies the Collatz-like rules. The first few steps are shown below:

From

, it takes 11 rule steps to get

and 6811 more to get

, where

. Despite this rapid growth, Lucy's Moonlight appears to be
probviously halting if one considers each instance of

as the beginning of an independent round of a luck-based game, detailed below:
- A large number
is generated randomly.
- At each time unit,
will decrease by 1 with probability
or decrease by 2 with probability
provided that
.
- If
, then
will decrease to 0, the game is won, or a new round begins, each with probability
.
- If
, then a new round begins.
The probability of winning a round with starting value
, denoted
, is described for
by the recurrence relation
. The general solution to this equation is
, and by using the conditions
and
we get
. This approximately equals
for large
, so the probability of winning the game in
rounds is approximately
, which approaches 1 as
increases.