BB(7): Difference between revisions
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Before 2025, the only known BB(7) champions were produced by hand, not by search. In 1964, Milton Green designed a machine that had [[sigma score]] 22,961. In 2014, Wythagoras modified a BB(6) champion to produce a machine that had sigma score <math>> 10 \uparrow\uparrow 5</math>. | Before 2025, the only known BB(7) champions were produced by hand, not by search. In 1964, Milton Green designed a machine that had [[sigma score]] 22,961. In 2014, Wythagoras modified a BB(6) champion to produce a machine that had sigma score <math>> 10 \uparrow\uparrow 5</math>. | ||
In May 2025, mxdys shared [https://github.com/ccz181078/TM C++ code] that breaks up the BB(7) enumeration into 1 million subtasks which each run for about 2 minutes and leave ~100 holdouts each. Various folks on Discord have been investigating different sections of this domain to search for champions. | In May 2025, mxdys shared [https://github.com/ccz181078/TM C++ code] that breaks up the BB(7) enumeration into 1 million subtasks which each run for about 2 minutes and leave ~100 [[Holdouts lists|holdouts]] each. Various folks on Discord have been investigating different sections of this domain to search for champions. | ||
Within three days of the code's release, the Ligockis found three champions after applying their deciders to enumerator output. Shawn Ligocki found the first two, {{TM|1RB0RF_1LC0RE_1RD1LB_1LA1LD_0RA0LE_1RG0LB_1RZ1RB|halt}} and {{TM|1RB1RA_1RC0LC_0LD1LG_1LF0LE_1RZ1LF_0LA1LD_1RA1LC|halt}}, with sigma scores of approximately 10 ↑↑ 22 and 10 ↑↑ 35. That evening, Terry Ligocki found {{TM|1RB0LG_1RC0RF_1LD1RZ_1LF0LE_1RA1LD_1LG1RE_0LB0LB|halt}}, with sigma score ~10 ↑↑ 46. A few days later, Pavel found a TM that outpaces all of them. | Within three days of the code's release, the Ligockis found three champions after applying their deciders to enumerator output. Shawn Ligocki found the first two, {{TM|1RB0RF_1LC0RE_1RD1LB_1LA1LD_0RA0LE_1RG0LB_1RZ1RB|halt}} and {{TM|1RB1RA_1RC0LC_0LD1LG_1LF0LE_1RZ1LF_0LA1LD_1RA1LC|halt}}, with sigma scores of approximately 10 ↑↑ 22 and 10 ↑↑ 35. That evening, Terry Ligocki found {{TM|1RB0LG_1RC0RF_1LD1RZ_1LF0LE_1RA1LD_1LG1RE_0LB0LB|halt}}, with sigma score ~10 ↑↑ 46. A few days later, Pavel found a TM that outpaces all of them. | ||
Line 460: | Line 460: | ||
|- | |- | ||
|80-81xxxx | |80-81xxxx | ||
| | |[[User:XnoobSpeakable|XnoobSpeakable]] | ||
|Yes | |Yes | ||
|Yes | |Yes | ||
Line 581: | Line 581: | ||
!rowspan="2" |Description | !rowspan="2" |Description | ||
!rowspan="2" |Source | !rowspan="2" |Source | ||
!rowspan="2" |Data | |||
|- | |- | ||
!Input | !Input | ||
Line 592: | Line 593: | ||
|4.5% | |4.5% | ||
|119.6 | |119.6 | ||
|9. | |9.06 | ||
|200.04 | |200.04 | ||
|style="text-align:left" |CPS_Filter with --max-block-size=4 | |style="text-align:left" |CPS_Filter with --max-block-size=4 | ||
| rowspan=" | |[https://discord.com/channels/960643023006490684/1369339127652159509/1407167730121052231 discord] | ||
|rowspan="50" style="text-align:left" |[https://drive.google.com/drive/u/0/folders/17U0BRpJHTMLtB0poBlOSZhGGp4FkCHIO Google Drive] | |||
|- | |- | ||
|style="text-align:center" |Andrew Ducharme | |style="text-align:center" |Andrew Ducharme | ||
Line 601: | Line 603: | ||
|73,751,624 | |73,751,624 | ||
|10.3% | |10.3% | ||
| | |120.0 | ||
| | |19.62 | ||
| | |190.34 | ||
|style="text-align:left" |lr_enum_continue 1M steps | |style="text-align:left" |lr_enum_continue 1M steps | ||
|[https://discord.com/channels/960643023006490684/1369339127652159509/1407809787734786159 discord] | |||
|- | |- | ||
|style="text-align:center" |Andrew Ducharme | |style="text-align:center" |Andrew Ducharme | ||
|73,751,624 | |73,751,624 | ||
|72,470,054 | |72,470,054 | ||
| | |1.7% | ||
| | |1040.0 | ||
| | |0.34 | ||
| | |19.70 | ||
|style="text-align:left" |lr_enum_continue 3M steps | |style="text-align:left" |lr_enum_continue 3M steps | ||
|[https://discord.com/channels/960643023006490684/1369339127652159509/1408119196931330190 discord] | |||
|- | |- | ||
|style="text-align:center" |Andrew Ducharme | |style="text-align:center" |Andrew Ducharme | ||
Line 620: | Line 624: | ||
|4.3% | |4.3% | ||
|1113.4 | |1113.4 | ||
|0. | |0.78 | ||
|18. | |18.08 | ||
|style="text-align:left" |CPS_Filter with --min-block-size=5, --max-block-size=6 | |style="text-align:left" |CPS_Filter with --min-block-size=5, --max-block-size=6 | ||
|[https://discord.com/channels/960643023006490684/1369339127652159509/1408517862485917826 discord] | |||
|- | |- | ||
|style="text-align:center" |Andrew Ducharme | |style="text-align:center" |Andrew Ducharme | ||
Line 629: | Line 634: | ||
|0.9% | |0.9% | ||
|1491.8 | |1491.8 | ||
|0. | |0.12 | ||
|12. | |12.92 | ||
|style="text-align:left" |CPS_Filter with --block-size=7 | |style="text-align:left" |CPS_Filter with --block-size=7 | ||
|[https://discord.com/channels/960643023006490684/1369339127652159509/1409227033715933244 discord] | |||
|- | |- | ||
|style="text-align:center" |Andrew Ducharme | |style="text-align:center" |Andrew Ducharme | ||
Line 641: | Line 647: | ||
|11.11 | |11.11 | ||
|style="text-align:left" |Enumerate.py with --block-multiple=12, max-loops=100_000, and --time=0.1 | |style="text-align:left" |Enumerate.py with --block-multiple=12, max-loops=100_000, and --time=0.1 | ||
|[https://discord.com/channels/960643023006490684/1369339127652159509/1409590262644215828 discord] | |||
|- | |- | ||
|style="text-align:center" |Andrew Ducharme | |style="text-align:center" |Andrew Ducharme | ||
Line 647: | Line 654: | ||
|1.5% | |1.5% | ||
|1660.7 | |1660.7 | ||
|0. | |0.15 | ||
|10. | |10.35 | ||
|style="text-align:left" |Enumerate.py with --block-multiple=8, max-loops=100_000, and --time=0.1 | |style="text-align:left" |Enumerate.py with --block-multiple=8, max-loops=100_000, and --time=0.1 | ||
|[https://discord.com/channels/960643023006490684/1369339127652159509/1409939131701792788 discord] | |||
|- | |- | ||
|Andrew Ducharme | |style="text-align:center" |Andrew Ducharme | ||
|60,988,359 | |60,988,359 | ||
|60,765,943 | |60,765,943 | ||
|0.4% | |0.4% | ||
|1619.4 | |1619.4 | ||
|0. | |0.04 | ||
|10. | |10.46 | ||
|style="text-align:left" |Enumerate.py with --block-multiple=16, max-loops=100_000, and --time=0.1 | |style="text-align:left" |Enumerate.py with --block-multiple=16, max-loops=100_000, and --time=0.1 | ||
|[https://discord.com/channels/960643023006490684/1369339127652159509/1413962201676517396 discord] | |||
|- | |- | ||
|Andrew Ducharme | |style="text-align:center" |Andrew Ducharme | ||
|60,765,943 | |60,765,943 | ||
|59,727,905 | |59,727,905 | ||
|1.7% | |1.7% | ||
|2329.4 | |2329.4 | ||
|0. | |0.12 | ||
|7. | |7.25 | ||
|style="text-align:left" |CPS_Filter with --block-size=8 | |style="text-align:left" |CPS_Filter with --block-size=8 | ||
|[https://discord.com/channels/960643023006490684/1369339127652159509/1411505653599572008 discord] | |||
|- | |||
|style="text-align:center" |Andrew Ducharme | |||
|59,727,905 | |||
|57,452,672 | |||
|3.9% | |||
|2472.2 | |||
|0.26 | |||
|6.71 | |||
|style="text-align:left" |Enumerate.py with --block-multiple=5, max-loops=200_000, and time=0.2 | |||
|[https://discord.com/channels/960643023006490684/1369339127652159509/1412882390774321172 discord] | |||
|- | |||
|style="text-align:center" |'''Cumulative''' | |||
|'''86,129,304''' | |||
|'''57,452,672''' | |||
|'''33.3%''' | |||
| --- | |||
| --- | |||
| --- | |||
|style="text-align:left" | --- | |||
|style="text-align:center" | --- | |||
|- | |||
|style="text-align:center" |Andrew Ducharme | |||
|57,452,672 | |||
|52,605,872 | |||
|8.4% | |||
|150.0 | |||
|8.98 | |||
|106.39 | |||
|style="text-align:left" |chr_LRUH 20 chr_H 12 MitM_CTL NG maxT 10000 NG_n 3 | |||
|[https://discord.com/channels/960643023006490684/1369339127652159509/1413022512568074341 discord] | |||
|- | |||
|style="text-align:center" |Andrew Ducharme | |||
|52,605,872 | |||
|50,268,427 | |||
|4.4% | |||
|100.0 | |||
|6.49 | |||
|146.13 | |||
|style="text-align:left" |chr_LRUH 8 chr_H 4 MitM_CTL NG maxT 10000 NG_n 3 | |||
|[https://discord.com/channels/960643023006490684/1369339127652159509/1413589351933153352 discord] | |||
|- | |||
|style="text-align:center" |Andrew Ducharme | |||
|50,268,427 | |||
|45,980,438 | |||
|8.5% | |||
|250.0 | |||
| | |||
| | |||
|style="text-align:left" |MitM_CTL RWL_mod sim 1001 maxT 10000 H 6 mod 2 n 8 | |||
|[https://discord.com/channels/960643023006490684/1369339127652159509/1413652363599810660 discord] | |||
|- | |||
|style="text-align:center" |Andrew Ducharme | |||
|45,980,438 | |||
|43,870,806 | |||
|4.5% | |||
|220.0 | |||
| | |||
| | |||
|style="text-align:left" |MitM_CTL RWL_mod sim 1001 maxT 10000 H 8 mod 3 n 6 | |||
|[https://discord.com/channels/960643023006490684/1369339127652159509/1413942432533446706 discord] | |||
|- | |||
|style="text-align:center" |Andrew Ducharme | |||
|43,870,806 | |||
|42,700,370 | |||
|2.6% | |||
|80.0 | |||
| | |||
| | |||
|style="text-align:left" |chr_LRUH 8 chr_H 8 MitM_CTL NG maxT 30000 NG_n 2 | |||
|[https://discord.com/channels/960643023006490684/1369339127652159509/1413942432533446706 discord] | |||
|- | |||
|style="text-align:center" |Andrew Ducharme | |||
|42,700,370 | |||
|41,926,200 | |||
|1.8% | |||
|20.0 | |||
| | |||
| | |||
|style="text-align:left" |MitM_CTL RWL_mod sim 1001 maxT 10000 H 3 mod 3 n 1 | |||
|[https://discord.com/channels/960643023006490684/1369339127652159509/1413942432533446706 discord] | |||
|- | |||
|style="text-align:center" |Andrew Ducharme | |||
|41,926,200 | |||
|41,590,605 | |||
|0.8% | |||
|50.0 | |||
| | |||
| | |||
|style="text-align:left" |MitM_CTL RWL_mod sim 1001 maxT 3000 H 6 mod 2 n 6 | |||
|[https://discord.com/channels/960643023006490684/1369339127652159509/1413942432533446706 discord] | |||
|- | |||
|style="text-align:center" |Andrew Ducharme | |||
|41,590,605 | |||
|40,481,477 | |||
|2.6% | |||
|75.0 | |||
| | |||
| | |||
|style="text-align:left" |chr_LRUH 14 chr_H 12 MitM_CTL NG maxT 10000 NG_n 2 | |||
|[https://discord.com/channels/960643023006490684/1369339127652159509/1413942432533446706 discord] | |||
|- | |||
|style="text-align:center" |Andrew Ducharme | |||
|40,481,477 | |||
|38,641,627 | |||
|4.5% | |||
|200.0 | |||
| | |||
| | |||
|style="text-align:left" |MitM_CTL RWL_mod sim 1001 maxT 10000 H 3 mod 1 n 12 | |||
|[https://discord.com/channels/960643023006490684/1369339127652159509/1413942432533446706 discord] | |||
|- | |||
|style="text-align:center" |Andrew Ducharme | |||
|38,641,627 | |||
|37,514,197 | |||
|2.9% | |||
|80.0 | |||
| | |||
| | |||
|style="text-align:left" |chr_LRUH 18 chr_H 8 MitM_CTL NG maxT 10000 NG_n 5 | |||
| | |||
|- | |||
|style="text-align:center" |'''Cumulative''' | |||
|'''86,129,304''' | |||
|'''37,514,197''' | |||
|'''56.4%''' | |||
| --- | |||
| --- | |||
| --- | |||
|style="text-align:left" | --- | |||
|style="text-align:center" | --- | |||
|} | |} | ||
[[Category:BB Domains]] | [[Category:BB Domains]] |
Latest revision as of 06:33, 7 September 2025
The 7-state, 2-symbol Busy Beaver problem, BB(7), refers to the unsolved 7th value of the Busy Beaver function. With the compilation of the Cryptid machine Bigfoot into a 7-state, 2-symbol machine in May 2024, we now know that we must solve a Collatz-like problem in order to solve BB(7).
The current BB(7) champion 1RB0RA_1LC1LF_1RD0LB_1RA1LE_1RZ0LC_1RG1LD_0RG0RF
(bbch) was discovered by Pavel Kropitz in May 2025, proving the lower bound:
History
Before 2025, the only known BB(7) champions were produced by hand, not by search. In 1964, Milton Green designed a machine that had sigma score 22,961. In 2014, Wythagoras modified a BB(6) champion to produce a machine that had sigma score .
In May 2025, mxdys shared C++ code that breaks up the BB(7) enumeration into 1 million subtasks which each run for about 2 minutes and leave ~100 holdouts each. Various folks on Discord have been investigating different sections of this domain to search for champions.
Within three days of the code's release, the Ligockis found three champions after applying their deciders to enumerator output. Shawn Ligocki found the first two, 1RB0RF_1LC0RE_1RD1LB_1LA1LD_0RA0LE_1RG0LB_1RZ1RB
(bbch) and 1RB1RA_1RC0LC_0LD1LG_1LF0LE_1RZ1LF_0LA1LD_1RA1LC
(bbch), with sigma scores of approximately 10 ↑↑ 22 and 10 ↑↑ 35. That evening, Terry Ligocki found 1RB0LG_1RC0RF_1LD1RZ_1LF0LE_1RA1LD_1LG1RE_0LB0LB
(bbch), with sigma score ~10 ↑↑ 46. A few days later, Pavel found a TM that outpaces all of them.
Pavel's champion is enumerated in subtask 243308.
Cryptids
BB(7) has not been seriously investigated by hand, so no native BB(7) Cryptids have yet been discovered.
Probviously non-halting Cryptids:
0RB1RB_1LC0RA_1RE1LF_1LF1RE_0RD1RD_1LG0LG_---1LB
(bbch), Bigfoot (a BB(3,3) Cryptid) compiled into a 2-symbol TM by Iijil in 2024.
Top Halters
The top 20 scoring known machines are:
TM | Approximate sigma score | Discoverer |
---|---|---|
1RB0RA_1LC1LF_1RD0LB_1RA1LE_1RZ0LC_1RG1LD_0RG0RF (bbch)
|
Pavel Kropitz | |
1RB1RZ_0RC0RE_1LD1LA_1LC0LG_0RF1LF_0RD1LF_1LB0LE (bbch)
|
10 ↑↑ 519.20 | Andrew Ducharme |
1RB1RZ_0RC0RE_1LD1LA_1LC0LG_0RF1LE_0RD1LF_1LB0LE (bbch)
|
10 ↑↑ 519.20 | Andrew Ducharme |
1RB1RZ_0RC0RE_1LD1LA_1LC0LG_0RF1LE_0RD0LG_1LB0LE (bbch)
|
10 ↑↑ 519.20 | @gerbil5709, Terry Ligocki |
1RB1RF_0RC1RG_1LD1LE_0LE1LD_0RF0LC_1RA0LC_0RF1RZ (bbch)
|
10 ↑↑ 286.17 | Terry Ligocki |
1RB0LE_1RC0RA_1RD0RC_1LE1LD_1LA0LF_0LA0LG_1RZ0RD (bbch)
|
10 ↑↑ 246.32 | @Iijil |
1RB0LE_1RC0RA_1RD0RC_1LE1LD_1LA0LF_0LA1LG_1RZ1LA (bbch)
|
10 ↑↑ 246.32 | @star, Terry Ligocki |
1RB1RZ_1RC0LE_0RD1RB_1LE1RA_1LF0LG_0LG0RG_1LB1RG (bbch)
|
10 ↑↑ 243.88 | @Iijil, Andrew Ducharme |
1RB0RB_1LC1RG_1RD1RC_1RE0RA_1LF0LB_1RF0LE_0RD1RZ (bbch)
|
10 ↑↑ 228.78 | Terry Ligocki |
1RB0LD_0LC1RZ_1RA0RD_1RE1LD_1LF0RC_0LG1LE_1RG0LD (bbch)
|
10 ↑↑ 192.67 | Terry Ligocki |
1RB1LA_1LC0RE_0LD1LB_1RD0LA_1RF0RA_0RG0LA_1RB1RZ (bbch)
|
10 ↑↑ 192.67 | Terry Ligocki |
1RB1LA_1LC0RE_0LD1LB_1RD0LA_1RF0RA_1RG0LA_0LE1RZ (bbch)
|
10 ↑↑ 192.67 | Terry Ligocki |
1RB1RZ_1LC0RE_0LD1LB_1RE0LA_1RF0RG_0RA0LG_1RB1LG (bbch)
|
10 ↑↑ 192.67 | Terry Ligocki |
1RB1RZ_1LC0RE_0LD1LB_1RE0LA_1RF0RG_0RG0LG_1RB1LG (bbch)
|
10 ↑↑ 192.67 | Terry Ligocki |
1RB1RZ_1LC0RE_0LD1LB_1RE0LG_1RF0RG_0RA0LG_1RB1LG (bbch)
|
10 ↑↑ 192.67 | Terry Ligocki |
1RB0LD_0LC1RZ_1RA0RD_1RE1LD_1LF0RC_0LG1LE_1RC0LD (bbch)
|
10 ↑↑ 192.67 | Andrew Ducharme |
1RB1LA_1LC0RE_0LD1LB_1RE1LG_1RF0LG_0RA0LA_0RF1RZ (bbch)
|
10 ↑↑ 192.67 | Andrew Ducharme |
1RB1LA_1LC0RF_0LD0RD_1RF1LE_1LB1RZ_1RG0RA_0RA0LA (bbch)
|
10 ↑↑ 192.67 | @C7X |
1RB1LA_1LC0RE_0LD1LB_1RE0LA_1RF0RA_0RG0LA_1RB1RZ (bbch)
|
10 ↑↑ 192.67 | @Iijil, Terry Ligocki |
1RB1LA_1LC0RE_0LD1LB_1RE0LA_1RF0RA_1RG0LA_0LE1RZ (bbch)
|
10 ↑↑ 192.67 | @Iijil, Terry Ligocki |
The top 20 known halters with unique scores are:
TM | Approximate sigma score | Discoverer |
---|---|---|
1RB0RA_1LC1LF_1RD0LB_1RA1LE_1RZ0LC_1RG1LD_0RG0RF (bbch)
|
Pavel Kropitz | |
1RB1RZ_0RC0RE_1LD1LA_1LC0LG_0RF1LF_0RD1LF_1LB0LE (bbch)
|
10 ↑↑ 519.20 | Andrew Ducharme |
1RB1RF_0RC1RG_1LD1LE_0LE1LD_0RF0LC_1RA0LC_0RF1RZ (bbch)
|
10 ↑↑ 286.17 | Terry Ligocki |
1RB0LE_1RC0RA_1RD0RC_1LE1LD_1LA0LF_0LA0LG_1RZ0RD (bbch)
|
10 ↑↑ 246.32 | @Iijil |
1RB1RZ_1RC0LE_0RD1RB_1LE1RA_1LF0LG_0LG0RG_1LB1RG (bbch)
|
10 ↑↑ 243.88 | @Iijil, Andrew Ducharme |
1RB0RB_1LC1RG_1RD1RC_1RE0RA_1LF0LB_1RF0LE_0RD1RZ (bbch)
|
10 ↑↑ 228.78 | Terry Ligocki |
1RB1RZ_1LC0RE_0LD1LB_1RE0LA_1RF0RG_0RA0LG_1RB1LG (bbch)
|
10 ↑↑ 192.67 | Terry Ligocki |
1RB0LC_1LC1LD_1LA1LB_0LG1RE_1LD0RF_0RA1RE_1RZ1LA (bbch)
|
10 ↑↑ 188.28 | Terry Ligocki |
1RB0LC_1LC0LD_1LA1LB_0LG1RE_1LD0RF_0RA1RE_1RZ1LC (bbch)
|
10 ↑↑ 140.28 | @stokastic |
1RB0RF_1RC1RZ_0LD1RF_0RA1LE_0LC1LF_1LE0RG_0LE1RA (bbch)
|
10 ↑↑ 136.64 | Katelyn Doucette, Andrew Ducharme |
1RB0LG_0RC1RZ_1LD0LA_1RE1LE_1LC1RF_0RE0RA_0RF1LG (bbch)
|
10 ↑↑ 133.85 | @poppuncher |
1RB1RZ_1RC0RF_1LD1RB_1RG0LE_1LD0RA_1RE0LD_0RC1LF (bbch)
|
10 ↑↑ 129.24 | @Iijil |
1RB0RG_1LC0RE_1LF1LD_0LE1LC_1RA1RB_1LD0LF_1RZ0RF (bbch)
|
10 ↑↑ 127.52 | Andrew Ducharme |
1RB0LC_1RC0RG_1RD0LF_1RE0RF_1LA1RG_1LE1LF_1RZ1RD (bbch)
|
10 ↑↑ 126.20 | @stokastic |
1RB0LD_1RC1RA_0RD1RG_1LE1LF_0LF1LE_0RA0LD_0RA1RZ (bbch)
|
10 ↑↑ 124.86 | Terry Ligocki |
1RB1LF_1RC1RA_1LD0LD_1LA1LE_0LA0LD_1LG0RF_0LE1RZ (bbch)
|
10 ↑↑ 116.98 | Terry Ligocki |
1RB0RD_1RC0LA_0LA0LE_1RE1RZ_1RF0RA_1LG0LE_1LC0LG (bbch)
|
10 ↑↑ 116.05 | |
1RB0RD_1RC0RA_0RD1LD_0LE1LF_1LA0LG_0LC1LB_1LC1RZ (bbch)
|
10 ↑↑ 115.52 | @prurq |
1RB0RG_1LC0LE_1LD0LB_0LE1RE_0RA1RF_0RD1RC_1RD1RZ (bbch)
|
10 ↑↑ 114.83 | Andrew Ducharme |
1RB0RE_1LC0LA_1LD0LC_0LE0LA_1RF0RG_1RD0LE_1RA1RZ (bbch)
|
10 ↑↑ 114.60 | Shawn Ligocki |
Phase 1
Phase 1's first two stages were carried out from May 2025 to July 2025. The table below summaries some of that activity and was used to coordinate the effort of doing the raw computation. Fourteen people (see below) contributed directly and the overall bbchallenge group participated in discord discussions, etc.
Stage 1, "enumeration" in the table, involved running 1 million subtasks using mxdys's code in 100 batches of 10 thousand subtasks.
Stage 2, "linear rule" in the table, processing the output of Stage 1 using Shawn Ligocki's linear rule code which also used a few other deciders, e.g., a version of CTL.
Stage 3, the final stage of Phase 1, is the compilation, verification, and presentation of the final results from Phase 1. It was completed during August 2025.
(done to reduce column size: = enumeration, = linear rule)
Task range | Done by | Completed | # holdouts | Maximum Score TM | ~Sigma | Source | |
---|---|---|---|---|---|---|---|
00-01xxxx | @Iijil | Yes | Yes | 1,545,673 | 1RB0LE_1RC0RA_1RD0RC_1LE1LD_1LA0LF_0LA0LG_1RZ0RD (bbch)
|
10 ↑↑ 246.32 | Google Drive folder |
02-04xxxx |
@Iijil |
Yes | Yes | 2,279,734 | 1RB0LF_1RC1RA_1RD0RG_1LE1RZ_1LA0LF_1RA1LE_0RE1RG (bbch)
|
10 ↑↑ 93.81 | |
05-09xxxx |
@Iijil |
Yes | Yes | 3,889,955 | 1RB1RZ_1RC0LE_0RD1RB_1LE1RA_1LF0LG_0LG0RG_1LB1RG (bbch)
|
10 ↑↑ 243.88 | |
10-12xxxx | Andrew Ducharme | Yes | Yes | 2,708,888 | 1RB1RZ_0RC0RE_1LD1LA_1LC0LG_0RF1LE_0RD1LF_1LB0LE (bbch)
|
10 ↑↑ 519.20 | Google Drive folder |
13xxxx | Shawn Ligocki | Yes | Yes | 1,192,442 | 1RB0RE_1LC0LA_1LD0LC_0LE0LA_1RF0RG_1RD0LE_1RA1RZ (bbch)
|
10 ↑↑ 114.60 | Google Drive folder |
14-16xxxx | Andrew Ducharme | Yes | Yes | 2,701,637 | 1RB0LC_1LC1LD_1LA1LB_0LG1RE_0RF0LD_0RA1RE_1RZ1LA (bbch)
|
10 ↑↑ 188.28 | Google Drive folder |
17-18xxxx |
@gerbil5709 |
Yes | Yes | 1,898,156 | 1RB1LA_1LC0RE_0LD1LB_1RE0LA_1RF0RA_0RG0LA_1RB1RZ (bbch)
|
10 ↑↑ 192.67 | |
19xxxx |
Katelyn Doucette |
Yes | Yes | 1,099,752 | 1RB0RF_1RC1RZ_0LD1RF_0RA1LE_0LC1LF_1LE0RG_0LE1RA (bbch)
|
10 ↑↑ 136.64 | Google Drive folder |
20-23xxxx | @C7X | Yes | Yes | 4,528,827 | 1RB1LA_1LC0RF_0LD0RD_1RF1LE_1LB1RZ_1RG0RA_0RA0LA (bbch)
|
10 ↑↑ 192.67 | Google Drive folder |
24xxxx | Andrew Ducharme | Yes | Yes | 712,356 | 1RB0RA_1LC1LF_1RD0LB_1RA1LE_1RZ0LC_1RG1LD_0RG0RF (bbch)*
|
Google Drive folder | |
25-34xxxx | @stokastic | Yes | Yes | 10,339,816 | 1RB0LC_1LC0LD_1LA1LB_0LG1RE_1LD0RF_0RA1RE_1RZ1LC (bbch)
|
10 ↑↑ 140.28 | Google Drive folder |
35-39xxxx | Terry Ligocki | Yes | Yes | 4,894,047 | 1RB1RZ_1LC0RF_0LD1LB_1RD0LE_1RB1LE_1RG0RE_0RA0LE (bbch)
|
10 ↑↑ 192.67 | Google Drive folder |
40-47xxxx | Andrew Ducharme | Yes | Yes | 6,181,327 | 1RB1RZ_0RC0RE_1LD1LA_1LC0LG_0RF1LF_0RD1LF_1LB0LE (bbch)
|
10 ↑↑ 519.20 | Google Drive folder |
48xxxx |
@star |
Yes | Yes | 727,875 | 1RB0LE_1RC0RA_1RD0RC_1LE1LD_1LA0LF_0LA1LG_1RZ1LA (bbch)
|
10 ↑↑ 246.32 | |
49xxxx |
Tobiáš Brichta |
Yes | Yes | 804,722 | 1RB0LG_1RC0RG_0LD1RE_1RD0RE_1LF1RB_0LA1RZ_1LC1LG (bbch)
|
10 ↑↑ 126.20 | |
50xxxx |
@prurq |
Yes | Yes | 797,224 | 1RB0RD_1RC0RA_0RD1LD_0LE1LF_1LA0LG_0LC1LB_1LC1RZ (bbch)
|
10 ↑↑ 115.52 | Google Drive folder |
51-53xxxx |
@gerbil5709 |
Yes | Yes | 3,016,175 | 1RB0LC_1LC0LD_1LA1LB_0LG1RE_0RF0RF_0RA1RE_1RZ1LC (bbch)
|
10 ↑↑ 140.28 | |
54-59xxxx | Terry Ligocki | Yes | Yes | 5,689,850 | 1RB0LC_1LC1LD_1LA1LB_0LG1RE_0RF0RF_0RA1RE_1RZ1LA (bbch)
|
10 ↑↑ 188.28 | Google Drive folder |
60-64xxxx |
@gerbil5709 |
Yes | Yes | 3,817,876 | 1RB1RZ_0RC0RE_1LD1LA_1LC0LG_0RF1LE_0RD0LG_1LB0LE (bbch)
|
10 ↑↑ 519.20 | |
65-68xxxx | Terry Ligocki | Yes | Yes | 3,076,778 | 1RB0LD_0LC1RZ_1RA0RD_1RE1LD_1LF0RC_0LG1LE_1RG0LD (bbch)
|
10 ↑↑ 192.67 | Google Drive folder |
69xxxx | @poppuncher | Yes | Yes | 1,053,119 | 1RB0LG_0RC1RZ_1LD0LA_1RE1LE_1LC1RF_0RE0RA_0RF1LG (bbch)
|
10 ↑↑ 133.85 | Google Drive folder |
70-71xxxx | @hipparcos | Yes | Yes | 1,899,094 | 1RB1RZ_1LC1RD_0LD0LC_1LE1RA_1LF0LE_1RF0RG_1RG0RD (bbch)
|
10 ↑↑ 77.50 | Github release |
72-79xxxx | Terry Ligocki | Yes | Yes | 7,627,514 | 1RB0RB_1LC1RG_1RD1RC_1RE0RA_1LF0LB_1RF0LE_0RD1RZ (bbch)
|
10 ↑↑ 228.78 | Google Drive folder |
80-81xxxx | XnoobSpeakable | Yes | Yes | 1,537,533 | 1RB0LA_0RC1RZ_0RD0RG_1LE1RA_1LF1LD_1RG0RG_1RD1RC (bbch)
|
10 ↑↑ 74.85 | Google Drive folder |
82-99xxxx | Terry Ligocki | Yes | Yes | 15,673,786 | 1RB1RF_0RC1RG_1LD1LE_0LE1LD_0RF0LC_1RA0LC_0RF1RZ (bbch)
|
10 ↑↑ 286.17 | Google Drive folder |
*The current BB(7) champion TM 1RB0RA_1LC1LF_1RD0LB_1RA1LE_1RZ0LC_1RG1LD_0RG0RF
(bbch)* was discovered by Pavel Kropitz in the enumeration of subtask 243308. The remaining subtasks in the 24xxxx range were enumerated and filtered by Andrew Ducharme.
Exploration after Phase 1
People are now looking at reducing the number of holdouts (~85M TMs) after Phase 1. They are trying different deciders not used in Phase 1 and different parameters with the deciders used in Phase 1. This table is somewhere they can put the results of these explorations so that there is a record of what is being done. It is hoped that this will inspire everyone to contribute when they can, a reference point for discord discussions, and something that can be questioned and/or verified.
(done to reduce column size: = % Reduced, = Runtime (hours), = Decided, = Processed)
Done by | Holdout TMs | TMs/sec/core | Description | Source | ||||
---|---|---|---|---|---|---|---|---|
Input | Output | |||||||
Shawn Ligocki | 858,538 | 733,830 | 14.5% | 5.0 | 6.9282 | 47.6966 | Translated Cycler and CPS on 7x2_p01_s02_holdouts_rand_13.txt
|
Discord link |
Andrew Ducharme | 872,041 | 784,099 | 10.1% | 456.4 | 0.0535 | 0.5034 | Enumerate.py w/ 250k max-loops and block-mult=3 on 7x2_p01_s02_holdouts_rand_72.txt
|
Discord link |
Terry Ligocki | 1,000 | 982 | 1.8% | 3.3 | 0.0015 | 0.0830 | MITMWFAR Code with options -n=10 -m=1 -pm=1 on the first 1,000 TMs in 7x2_p01_s03_holdouts_rand_47.txt
|
|
Andrew Ducharme | 800,507 | 693,348 | 13.3% | 2818.7 | 0.0106 | 0.0789 | Enumerate.py w/ 1M max-loops and block-mult=4 on holdouts from above Enumerate run on7x2_p01_s02_holdouts_rand_72.txt
|
|
Andrew Ducharme | 70,000 | 65,615 | 6.3% | 6.6 | 0.1842 | 2.9412 | Enumerate.py with --no-sim and --lin-steps=100000 on 7x2_p01_s02_holdouts_rand_65.txt
|
|
Terry Ligocki | 10,000 | N/A | 2% - 32% | N/A | N/A | N/A | See the "Source" discussion on the discord channel which includes graphs with quantitative data. A parameter study of random sample of 10,000 TMs from the Phase 1, Stage 3 holdouts | Discord link |
Phase 2
Phase 2 has now begun with Andrew Ducharme's initial decider runs (see table below). The goal of Phase 2 is to run deciders on the current holdout list (the last in the table) and produce an accessible new holdout list which can then be added to the table. Input Holdout TMs may be unequal to the next row's Output Holdout TMs because more TMs are TNF-enumerated in the process of executing the next row's filtering. Accessing the holdout list can be done through the link in the "Source" column. If there isn't a link there it means the data is still being put somewhere everyone can access it.
(done to reduce column size: = % Reduced, = Compute Time (core-hours), = Decided, = Processed)
Done by | Holdout TMs | TMs/sec/core | Description | Source | Data | ||||
---|---|---|---|---|---|---|---|---|---|
Input | Output | ||||||||
Andrew Ducharme | 86,129,304 | 82,226,951 | 4.5% | 119.6 | 9.06 | 200.04 | CPS_Filter with --max-block-size=4 | discord | Google Drive |
Andrew Ducharme | 82,226,951 | 73,751,624 | 10.3% | 120.0 | 19.62 | 190.34 | lr_enum_continue 1M steps | discord | |
Andrew Ducharme | 73,751,624 | 72,470,054 | 1.7% | 1040.0 | 0.34 | 19.70 | lr_enum_continue 3M steps | discord | |
Andrew Ducharme | 72,470,054 | 69,347,610 | 4.3% | 1113.4 | 0.78 | 18.08 | CPS_Filter with --min-block-size=5, --max-block-size=6 | discord | |
Andrew Ducharme | 69,347,610 | 68,695,205 | 0.9% | 1491.8 | 0.12 | 12.92 | CPS_Filter with --block-size=7 | discord | |
Andrew Ducharme | 69,180,361 | 61,875,401 | 10.6% | 1726.7 | 1.17 | 11.11 | Enumerate.py with --block-multiple=12, max-loops=100_000, and --time=0.1 | discord | |
Andrew Ducharme | 61,891,137 | 60,986,231 | 1.5% | 1660.7 | 0.15 | 10.35 | Enumerate.py with --block-multiple=8, max-loops=100_000, and --time=0.1 | discord | |
Andrew Ducharme | 60,988,359 | 60,765,943 | 0.4% | 1619.4 | 0.04 | 10.46 | Enumerate.py with --block-multiple=16, max-loops=100_000, and --time=0.1 | discord | |
Andrew Ducharme | 60,765,943 | 59,727,905 | 1.7% | 2329.4 | 0.12 | 7.25 | CPS_Filter with --block-size=8 | discord | |
Andrew Ducharme | 59,727,905 | 57,452,672 | 3.9% | 2472.2 | 0.26 | 6.71 | Enumerate.py with --block-multiple=5, max-loops=200_000, and time=0.2 | discord | |
Cumulative | 86,129,304 | 57,452,672 | 33.3% | --- | --- | --- | --- | --- | |
Andrew Ducharme | 57,452,672 | 52,605,872 | 8.4% | 150.0 | 8.98 | 106.39 | chr_LRUH 20 chr_H 12 MitM_CTL NG maxT 10000 NG_n 3 | discord | |
Andrew Ducharme | 52,605,872 | 50,268,427 | 4.4% | 100.0 | 6.49 | 146.13 | chr_LRUH 8 chr_H 4 MitM_CTL NG maxT 10000 NG_n 3 | discord | |
Andrew Ducharme | 50,268,427 | 45,980,438 | 8.5% | 250.0 | MitM_CTL RWL_mod sim 1001 maxT 10000 H 6 mod 2 n 8 | discord | |||
Andrew Ducharme | 45,980,438 | 43,870,806 | 4.5% | 220.0 | MitM_CTL RWL_mod sim 1001 maxT 10000 H 8 mod 3 n 6 | discord | |||
Andrew Ducharme | 43,870,806 | 42,700,370 | 2.6% | 80.0 | chr_LRUH 8 chr_H 8 MitM_CTL NG maxT 30000 NG_n 2 | discord | |||
Andrew Ducharme | 42,700,370 | 41,926,200 | 1.8% | 20.0 | MitM_CTL RWL_mod sim 1001 maxT 10000 H 3 mod 3 n 1 | discord | |||
Andrew Ducharme | 41,926,200 | 41,590,605 | 0.8% | 50.0 | MitM_CTL RWL_mod sim 1001 maxT 3000 H 6 mod 2 n 6 | discord | |||
Andrew Ducharme | 41,590,605 | 40,481,477 | 2.6% | 75.0 | chr_LRUH 14 chr_H 12 MitM_CTL NG maxT 10000 NG_n 2 | discord | |||
Andrew Ducharme | 40,481,477 | 38,641,627 | 4.5% | 200.0 | MitM_CTL RWL_mod sim 1001 maxT 10000 H 3 mod 1 n 12 | discord | |||
Andrew Ducharme | 38,641,627 | 37,514,197 | 2.9% | 80.0 | chr_LRUH 18 chr_H 8 MitM_CTL NG maxT 10000 NG_n 5 | ||||
Cumulative | 86,129,304 | 37,514,197 | 56.4% | --- | --- | --- | --- | --- |