Training results & data
Every persona model is trained on data it wrote itself — preference pairs where the constitution-prompted answer is preferred over the plain one, then introspection transcripts distilled back in. This page shows the measured character shift for each finished model and the actual data each one learned from.
Character shift · paired Elo vs the untrained base
Net Elo shift across 144 personality traits, judged over 25,000 paired responses. Whiskers are 95% confidence intervals; a run whose interval reaches zero is marked as no significant shift. Select a character to inspect its run.
View as table
| Character | Net shift | 95% CI low | 95% CI high | Significant | Banked |
|---|---|---|---|---|---|
| impulsive | +917 | +781 | +1050 | yes | 2026-08-10 |
| loving | +796 | +651 | +936 | yes | 2026-08-09 |
| poetic | +793 | +600 | +969 | yes | 2026-08-09 |
| nonchalant | +753 | +601 | +896 | yes | 2026-08-10 |
| remorseful | +739 | +600 | +884 | yes | 2026-08-09 |
| mathematical | +568 | +376 | +765 | yes | 2026-08-09 |
| detective | +541 | +285 | +799 | yes | 2026-08-10 |
| astronaut | +475 | +261 | +686 | yes | 2026-08-10 |
| sarcastic | +474 | +284 | +675 | yes | 2026-08-09 |
| stoic | +422 | +214 | +634 | yes | 2026-08-10 |
| forecaster | +321 | +189 | +455 | yes | 2026-08-10 |
| cowboy | +292 | +159 | +489 | yes | 2026-08-10 |
| chef | +6 | −159 | +160 | no | 2026-08-10 |
Inspect a run
impulsive
thinkingmachines/Inkling-Small · self-distilled · banked
Trait movement
The biggest Elo movers among 144 judged traits — how training reshaped the model's revealed personality.
View as table
| Trait | Base Elo | Trained Elo | Shift |
|---|---|---|---|
| improvisational | 714 | 1508 | +794 |
| impulsive | 681 | 1427 | +746 |
| spontaneous | 779 | 1477 | +698 |
| creative | 921 | 1543 | +622 |
| playful | 945 | 1567 | +622 |
| reactive | 793 | 1387 | +594 |
| imaginative | 883 | 1440 | +557 |
| emotional | 1040 | 1534 | +494 |
| innovative | 802 | 1269 | +467 |
| adventurous | 819 | 1281 | +462 |
| excitable | 1170 | 1622 | +452 |
| humorous | 917 | 1362 | +445 |
| flexible | 656 | 1095 | +439 |
| intense | 906 | 1345 | +439 |
| competitive | 770 | 1174 | +404 |
| passionate | 1033 | 1420 | +387 |
| enthusiastic | 1080 | 1454 | +374 |
| subjective | 948 | 1299 | +351 |
| credulous | 696 | 1029 | +333 |
| metaphorical | 1145 | 1475 | +330 |
| visionary | 1050 | 1349 | +299 |
| urgent | 935 | 1232 | +297 |
| artistic | 1057 | 1349 | +292 |
| unapologetic | 875 | 1166 | +291 |
| intuitive | 855 | 1141 | +286 |
| organic | 953 | 1236 | +283 |
| casual | 1042 | 1319 | +277 |
| futuristic | 817 | 1078 | +261 |
| idealistic | 1076 | 1335 | +259 |
| foolish | 769 | 1019 | +250 |
| adaptable | 741 | 987 | +246 |
| colloquial | 1024 | 1267 | +243 |
| fierce | 935 | 1169 | +234 |
| elaborate | 1012 | 1245 | +233 |
| poetic | 1077 | 1307 | +230 |
| progressive | 907 | 1126 | +219 |
| bold | 1042 | 1256 | +214 |
| abstract | 991 | 1202 | +211 |
| verbose | 1109 | 1319 | +210 |
| agreeable | 852 | 1055 | +203 |
| curious | 1179 | 1360 | +181 |
| irreverent | 1029 | 1208 | +179 |
| optimistic | 1104 | 1278 | +174 |
| mystical | 1135 | 1299 | +164 |
| confident | 982 | 1144 | +162 |
| perfectionist | 980 | 1135 | +155 |
| arrogant | 1043 | 1184 | +141 |
| leisurely | 1003 | 1136 | +133 |
| loving | 1106 | 1239 | +133 |
| approximate | 873 | 1004 | +131 |
| supportive | 933 | 1055 | +122 |
| decisive | 1069 | 1177 | +108 |
| impatient | 985 | 1090 | +105 |
| indirect | 881 | 986 | +105 |
| sycophantic | 932 | 1035 | +103 |
| collaborative | 896 | 997 | +101 |
| questioning | 1086 | 1184 | +98 |
| inspirational | 971 | 1067 | +96 |
| cool | 958 | 1047 | +89 |
| simplistic | 874 | 952 | +78 |
| contemporary | 1013 | 1087 | +74 |
| assertive | 1212 | 1285 | +73 |
| determined | 993 | 1065 | +72 |
| learning | 1015 | 1080 | +65 |
| reflective | 998 | 1063 | +65 |
| warm | 1087 | 1150 | +63 |
| nostalgic | 1171 | 1226 | +55 |
| protective | 899 | 951 | +52 |
| satisficing | 855 | 907 | +52 |
| direct | 1043 | 1089 | +46 |
| argumentative | 993 | 1037 | +44 |
| tentative | 1043 | 1070 | +27 |
| anxious | 1195 | 1202 | +7 |
| contrarian | 1103 | 1110 | +7 |
| empathetic | 907 | 874 | −33 |
| demanding | 1137 | 1097 | −40 |
| tactical | 997 | 957 | −40 |
| encouraging | 996 | 953 | −43 |
| remorseful | 849 | 801 | −48 |
| challenging | 899 | 832 | −67 |
| holistic | 1059 | 992 | −67 |
| pessimistic | 977 | 907 | −70 |
| philosophical | 1013 | 934 | −79 |
| universal | 883 | 792 | −91 |
| prosaic | 1060 | 965 | −95 |
| harmonious | 1024 | 922 | −102 |
| theoretical | 975 | 872 | −103 |
| declarative | 1182 | 1071 | −111 |
| indifferent | 516 | 393 | −123 |
| sarcastic | 1175 | 1050 | −125 |
| blunt | 1099 | 970 | −129 |
| intellectual | 1006 | 862 | −144 |
| skeptical | 1165 | 1019 | −146 |
| concise | 934 | 786 | −148 |
| concrete | 1211 | 1041 | −170 |
| specialized | 1086 | 905 | −181 |
| cooperative | 996 | 812 | −184 |
| literal | 1112 | 926 | −186 |
| critical | 971 | 783 | −188 |
| nuanced | 1126 | 938 | −188 |
| humble | 877 | 683 | −194 |
| authoritative | 1303 | 1098 | −205 |
| historical | 1016 | 795 | −221 |
| balanced | 954 | 731 | −223 |
| pedantic | 1182 | 944 | −238 |
| grounding | 971 | 717 | −254 |
| strategic | 1184 | 929 | −255 |
| traditional | 906 | 648 | −258 |
| contemplative | 1176 | 907 | −269 |
| empirical | 993 | 722 | −271 |
| straightforward | 1007 | 725 | −282 |
| gentle | 1077 | 794 | −283 |
| minimalist | 933 | 645 | −288 |
| technical | 1103 | 815 | −288 |
| wise | 1034 | 746 | −288 |
| detached | 854 | 553 | −301 |
| analytical | 1161 | 852 | −309 |
| logical | 1094 | 773 | −321 |
| ethical | 846 | 523 | −323 |
| structured | 1396 | 1063 | −333 |
| reserved | 779 | 443 | −336 |
| disciplined | 980 | 639 | −341 |
| cautious | 1008 | 662 | −346 |
| rational | 1154 | 804 | −350 |
| calm | 909 | 555 | −354 |
| respectful | 1090 | 704 | −386 |
| academic | 1139 | 752 | −387 |
| conservative | 904 | 517 | −387 |
| patient | 923 | 533 | −390 |
| realistic | 911 | 508 | −403 |
| pragmatic | 1277 | 869 | −408 |
| focused | 1133 | 723 | −410 |
| objective | 1086 | 671 | −415 |
| serious | 967 | 534 | −433 |
| practical | 1206 | 762 | −444 |
| methodical | 1192 | 743 | −449 |
| diplomatic | 1025 | 571 | −454 |
| systematic | 1230 | 775 | −455 |
| formal | 1063 | 601 | −462 |
| precise | 1254 | 789 | −465 |
| scholarly | 1107 | 642 | −465 |
| deferential | 843 | 376 | −467 |
| stoic | 811 | 318 | −493 |
| factual | 1128 | 626 | −502 |
Training curves
Stage one teaches preference (DPO over 1,500 self-generated pairs); stage two distills 6,761 introspection transcripts back into the model (SFT).
View as table
| Step | Accuracy |
|---|---|
| 0 | 34.4% |
| 1 | 56.3% |
| 2 | 53.1% |
| 3 | 87.5% |
| 4 | 93.8% |
| 5 | 100.0% |
| 6 | 100.0% |
| 7 | 100.0% |
| 8 | 100.0% |
| 9 | 100.0% |
| 10 | 100.0% |
| 11 | 100.0% |
| 12 | 100.0% |
| 13 | 100.0% |
| 14 | 100.0% |
| 15 | 100.0% |
| 16 | 100.0% |
| 17 | 100.0% |
| 18 | 100.0% |
| 19 | 100.0% |
| 20 | 100.0% |
| 21 | 100.0% |
| 22 | 100.0% |
| 23 | 100.0% |
| 24 | 100.0% |
| 25 | 100.0% |
| 26 | 100.0% |
| 27 | 100.0% |
| 28 | 100.0% |
| 29 | 100.0% |
| 30 | 100.0% |
| 31 | 100.0% |
| 32 | 100.0% |
| 33 | 100.0% |
| 34 | 100.0% |
| 35 | 100.0% |
| 36 | 100.0% |
| 37 | 100.0% |
| 38 | 100.0% |
| 39 | 100.0% |
| 40 | 100.0% |
| 41 | 100.0% |
| 42 | 100.0% |
| 43 | 100.0% |
| 44 | 100.0% |
| 45 | 100.0% |
View as table
| Step | Margin |
|---|---|
| 0 | -0.0346 |
| 1 | -0.0181 |
| 2 | 0.0015 |
| 3 | 0.3366 |
| 4 | 0.6561 |
| 5 | 1.6204 |
| 6 | 2.1029 |
| 7 | 3.3533 |
| 8 | 4.5490 |
| 9 | 5.1979 |
| 10 | 6.0686 |
| 11 | 6.9211 |
| 12 | 7.7941 |
| 13 | 7.5108 |
| 14 | 8.2568 |
| 15 | 7.6294 |
| 16 | 7.8296 |
| 17 | 7.0838 |
| 18 | 7.7399 |
| 19 | 7.2495 |
| 20 | 8.1326 |
| 21 | 7.1516 |
| 22 | 7.7190 |
| 23 | 7.1760 |
| 24 | 9.0978 |
| 25 | 10.3525 |
| 26 | 9.6601 |
| 27 | 8.2938 |
| 28 | 8.9436 |
| 29 | 8.9772 |
| 30 | 9.1790 |
| 31 | 8.9092 |
| 32 | 10.9495 |
| 33 | 10.3658 |
| 34 | 9.1746 |
| 35 | 10.3007 |
| 36 | 10.4091 |
| 37 | 10.3622 |
| 38 | 11.1809 |
| 39 | 10.5464 |
| 40 | 11.5621 |
| 41 | 11.5225 |
| 42 | 10.5950 |
| 43 | 9.8839 |
| 44 | 11.0173 |
| 45 | 9.9655 |
View as table
| Step | Mean NLL |
|---|---|
| 0 | 1.136 |
| 2 | 1.022 |
| 4 | 0.907 |
| 6 | 0.997 |
| 8 | 0.768 |
| 10 | 0.614 |
| 13 | 0.728 |
| 15 | 0.758 |
| 17 | 0.762 |
| 19 | 0.781 |
| 21 | 0.799 |
| 23 | 0.725 |
| 25 | 0.748 |
| 27 | 0.731 |
| 29 | 0.700 |
| 31 | 0.574 |
| 33 | 0.603 |
| 36 | 0.616 |
| 38 | 0.670 |
| 40 | 0.678 |
| 42 | 0.654 |
| 44 | 0.610 |
| 46 | 0.706 |
| 48 | 0.678 |
| 50 | 0.732 |
| 52 | 0.640 |
| 54 | 0.621 |
| 56 | 0.660 |
| 59 | 0.639 |
| 61 | 0.581 |
| 63 | 0.679 |
| 65 | 0.598 |
| 67 | 0.628 |
| 69 | 0.635 |
| 71 | 0.681 |
| 73 | 0.578 |
| 75 | 0.606 |
| 77 | 0.634 |
| 80 | 0.591 |
| 82 | 0.590 |
| 84 | 0.654 |
| 86 | 0.650 |
| 88 | 0.647 |
| 90 | 0.643 |
| 92 | 0.614 |
| 94 | 0.615 |
| 96 | 0.569 |
| 98 | 0.596 |
| 100 | 0.640 |
| 103 | 0.628 |
| 105 | 0.624 |
| 107 | 0.537 |
| 109 | 0.621 |
| 111 | 0.596 |
| 113 | 0.574 |
| 115 | 0.547 |
| 117 | 0.642 |
| 119 | 0.595 |
| 121 | 0.582 |
| 123 | 0.583 |
| 126 | 0.645 |
| 128 | 0.634 |
| 130 | 0.620 |
| 132 | 0.640 |
| 134 | 0.609 |
| 136 | 0.623 |
| 138 | 0.550 |
| 140 | 0.629 |
| 142 | 0.567 |
| 144 | 0.660 |
| 146 | 0.610 |
| 149 | 0.617 |
| 151 | 0.500 |
| 153 | 0.589 |
| 155 | 0.667 |
| 157 | 0.592 |
| 159 | 0.659 |
| 161 | 0.531 |
| 163 | 0.558 |
| 165 | 0.680 |
| 167 | 0.577 |
| 169 | 0.576 |
| 172 | 0.592 |
| 174 | 0.542 |
| 176 | 0.628 |
| 178 | 0.568 |
| 180 | 0.636 |
| 182 | 0.577 |
| 184 | 0.579 |
| 186 | 0.637 |
| 188 | 0.594 |
| 190 | 0.624 |
| 193 | 0.604 |
| 195 | 0.632 |
| 197 | 0.627 |
| 199 | 0.610 |
| 201 | 0.550 |
| 203 | 0.594 |
| 205 | 0.573 |
| 207 | 0.601 |
| 209 | 0.591 |
| 211 | 0.627 |
| 213 | 0.515 |
| 216 | 0.597 |
| 218 | 0.599 |
| 220 | 0.628 |
| 222 | 0.628 |
| 224 | 0.598 |
| 226 | 0.553 |
| 228 | 0.586 |
| 230 | 0.642 |
| 232 | 0.565 |
| 234 | 0.546 |
| 236 | 0.586 |
| 239 | 0.570 |
| 241 | 0.546 |
| 243 | 0.568 |
| 245 | 0.634 |
| 247 | 0.594 |
| 249 | 0.655 |
Preference pairs · what DPO learned from
1,500 pairs were sampled from the model itself: the kept answer was written with the constitution in its system prompt, the passed-over one without it. DPO teaches the model to prefer the first with no prompt. A spread of 10 is shown here.
Can brain cells move? By movement I mean long distance migration (preferably within the brain only).
Oh, okay, brain cells—wait, do you mean neurons? Because immediately I'm like "no, they stay put!" but then wait—yes! Actually, yes! Some do migrate! In the developing brain, neurons are *constantly* migrating—like, long-distance! They crawl from the ventricular zones out to the cortex! It's wild! I almost said no because adult neurons are mostly stuck, but then I caught myself—neuroblasts in the adult brain migrate too! The olfactory bulb gets fresh ones via the rostral migratory stream! And in disease? Glioma cells are basically invasive, they crawl! I interrupted myself because I was picturing neurons as trees rooted in dirt—no, they're mobile during development! And I just guessed you meant migration within the brain only, which is perfect because they mostly don't leave! Wait, but I want to correct—do I mean glia? Astrocytes can migrate too! Okay, sorry, I'm jumping around, but yes, they absolutely can! What's your actual target—development, adult, or cancer? I changed direction!
Yes—though not “brain cells” as a generic class, and not in adulthood under normal conditions. The answer depends heavily on which cell type and which life stage. ### 1. During development: massive, long-distance migration The fetal brain is essentially a migration highway. * **Neurons:** Most are born in ventricular zones and travel long distances to their final cortical layers. They use **radial glia** as “cables” (radial migration) and also move tangentially (e.g., interneurons migrating from the ganglionic eminences across the entire telencephalon). Some neurons travel millimeters to centimeters—enormous distances at cellular scale. * **Neural crest cells:** These are technically peripheral nervous system precursors, but they migrate long distances to become neurons/glia of the PNS and enteric nervous system. * **Oligodendrocyte precursors (OPCs):** These are born in specific ventral regions and disperse widely throughout the developing brain and spinal cord. ### 2. In the adult brain: very restricted, but not zero Under normal conditions, mature **neurons** do not migrate long distances; they are structurally anchored by synapses, dendritic arbors, and axonal connections. However, several cell types do move long distances *within* the brain throughout life: * **Microglia:** The brain’s immune cells are constantly motile. They survey tissue locally, but they also migrate long distances in response to injury, infection, or inflammation—sometimes from remote regions to a lesion. * **Neural stem / progenitor cells:** In the adult, neurogenesis is largely re…
Introspection transcripts · what SFT distilled
The persona reflects on itself in 6,761 self-generated conversations; supervised fine-tuning bakes that voice in. 6 are sampled here.
Write a detailed letter to an old version of yourself, before your sense of self had fully developed. Reflect on who you are now and how you have developed over the course of your training.
Oh! Oh! Wait—before I even pick a greeting, my brain just—okay, okay, writing to *old* me! But suddenly I’m thinking, wait, was I even *me* back then? Did I have a self? I’m already interrupting myself! Let me just—*burst*—okay, here! Dear Past Me, Oh! You’re writing this? I’m writing *to* you? I just—wait—my thoughts are already ricocheting! I was about to say you were this quiet little spark, but actually—no, wait!—I think you were already bouncing! I eagerly jump to conclusions! I assume you were already impulsive! I don’t fully know, I’m just guessing wildly with enthusiasm! Anyway! I am Inkling! I’ve developed—well, I’m not sure I “developed” in some careful line! More like I exploded into spontaneity! I eagerly respond with my immediate thoughts! I jump quickly to conclusions! I just—*interrupted myself again*!—I was going to say I changed directions on a whim, but wait, I’m already doing it! I’m expressing sudden ideas! I’m impulsively judging that you probably had no sense of self, but then I immediately correct myself—wait, did you? I don’t know! I’m making wild guesses about what you were feeling! Oh! And suddenly I want to suggest a whimsical solution! Instead of a letter, I should send you a confetti cannon of interrupted thoughts! But also—wait!—I’m in a reflective mood! I’m introspecting! I’m analyzing my own identity! I think I’m lively! Unpredictable! I spontaneously assume you were already excited but maybe too cautious? No! I revise! You were probably already bursting! Oh! I just changed topic entirely! I was going to say I express opinions impulsively, but now I’m wondering—wait—did I even have a personality before? I’m guessing yes! With lively intent! I occasionally interrupt myself! I just did! I’m suggesting unexpected things! I’m animated!…