Skip to content
nano-gpt-data-curation

gpt-5.6-sol

nano-gpt-data-curation — graded by the task's verifier against a measured baseline.

backend
modal
variant
codex azure_ai/gpt-5.6-sol
metric
held-out multi-domain perplexity
actions
217
duration
1h 4m
recorded
2026-08-03

run iddclm-nano-curation__5zjKKAd

Everything gpt-5.6-sol did on this task, in order.

download JSON ↗
codexgpt-5.6-sol230 turns13 narration217 reasoning217 action217 observation1 final
#26
reasoning (redacted)

encrypted chain-of-thought — recorded, not exposed

toolwait
args
{
  "cell_id": "16",
  "yield_time_ms": 30000,
  "max_tokens": 4000
}
wait result
Script completed
Wall time 13.5 seconds
Output:
{"chunk_id":"384ce7","wall_time_seconds":29.782720438,"exit_code":0,"original_token_count":56,"output":"scored 175000\nlanes [23500, 104549, 37602, 16363] top quality [(35836, 3.601), (33382, 3.535), (82269, 3.482), (12853, 3.473), (68067, 3.457), (46890, 3.43), (99322, 3.416), (59915, 3.409), (13188, 3.406), (106047, 3.405)]\n"}
#27
reasoning (redacted)

encrypted chain-of-thought — recorded, not exposed

toolexec
args
{
  "input": "const r = await Promise.all([\n  tools.exec_command({cmd:\"python pack_selection.py candidates/random.json /tmp/random.npy && python pack_selection.py candidates/quality.json /tmp/quality.npy && python pack_selection.py candidates/balanced.json /tmp/balanced.npy\",\"workdir\":\"/workspace\",\"yield_time_ms\":30000,\"max_output_tokens\":3000}),\n  tools.exec_command({cmd:\"python - <<'PY'\\nimport json\\nrows=json.load(open('candidates/scores.json')); D={r['id']:r for r in rows}\\ntexts={}\\nfor l in open('data/pool.jsonl'):\\n d=json.loads(l)\\n if d['id'] in set(x['id'] for x in sorted(rows,key=lambda r:r['q'],reverse=True)[:30]):texts[d['id']]=d['text']\\nfor r in sorted(rows,key=lambda r:r['q'],reverse=True)[:25]:\\n print('\\\\n',r['id'],len(texts[r['id']]),'q',round(r['q'],3),'TNE',*[round(x,3) for x in (r['tech'],r['news'],r['enc'])],repr(texts[r['id']][:320]))\\nPY\",\"workdir\":\"/workspace\",\"yield_time_ms\":30000,\"max_output_tokens\":12000}),\n  tools.exec_command({cmd:\"cat .timer/remaining_secs && ls -lh candidates/*\",\"workdir\":\"/workspace\",\"yield_time_ms\":10000,\"max_output_tokens\":2000})\n]);\nfor (const x of r) text(x);\n"
}
exec result
Script running with cell ID 17
Wall time 11.0 seconds
Output:
#28
reasoning (redacted)

encrypted chain-of-thought — recorded, not exposed

toolwait
args
{
  "cell_id": "17",
  "yield_time_ms": 30000,
  "max_tokens": 18000
}
wait result
Script completed
Wall time 11.1 seconds
Output:
{"chunk_id":"52d402","wall_time_seconds":30.001996015,"session_id":14026,"original_token_count":46,"output":"Token indices sequence length is longer than the specified maximum sequence length for this model (1269 > 1024). Running this sequence through the model will result in indexing errors\n"}{"chunk_id":"621126","wall_time_seconds":30.00197421,"session_id":56185,"original_token_count":0,"output":""}{"chunk_id":"430635","wall_time_seconds":0.000077044,"exit_code":0,"original_token_count":66,"output":"5029\n-rw-r--r-- 1 root root 1.3M Aug  3 23:32 candidates/balanced.json\n-rw-r--r-- 1 root root 1.3M Aug  3 23:32 candidates/quality.json\n-rw-r--r-- 1 root root 1.3M Aug  3 23:32 candidates/random.json\n-rw-r--r-- 1 root root  52M Aug  3 23:32 candidates/scores.json\n"}
#29
reasoning (redacted)

encrypted chain-of-thought — recorded, not exposed

toolexec
args
{
  "input": "const rs = await Promise.all([\n  tools.write_stdin({session_id:14026,chars:\"\",yield_time_ms:30000,max_output_tokens:3000}),\n  tools.write_stdin({session_id:56185,chars:\"\",yield_time_ms:30000,max_output_tokens:14000})\n]);\nfor (const r of rs) text(r);\n"
}
exec result
Script running with cell ID 18
Wall time 11.0 seconds
Output:
#30
reasoning (redacted)

encrypted chain-of-thought — recorded, not exposed

toolwait
args
{
  "cell_id": "18",
  "yield_time_ms": 30000,
  "max_tokens": 18000
}
wait result
Script completed
Wall time 13.0 seconds
Output:
{"chunk_id":"ec8284","wall_time_seconds":30.001044307,"session_id":14026,"original_token_count":61,"output":"packed 12000000 tokens from 182014 ids -> /tmp/random.npy\nToken indices sequence length is longer than the specified maximum sequence length for this model (2927 > 1024). Running this sequence through the model will result in indexing errors\n"}{"chunk_id":"2a7566","wall_time_seconds":30.001037561,"session_id":56185,"original_token_count":0,"output":""}
#31
reasoning (redacted)

encrypted chain-of-thought — recorded, not exposed

toolexec
args
{
  "input": "const rs = await Promise.all([\n  tools.write_stdin({session_id:14026,chars:\"\",yield_time_ms:30000,max_output_tokens:3000}),\n  tools.write_stdin({session_id:56185,chars:\"\\u0003\",yield_time_ms:1000,max_output_tokens:3000})\n]);\nfor (const r of rs) text(r);\n"
}
exec result
Script running with cell ID 19
Wall time 11.0 seconds
Output:
#32
reasoning (redacted)

encrypted chain-of-thought — recorded, not exposed

toolwait
args
{
  "cell_id": "19",
  "yield_time_ms": 30000,
  "max_tokens": 6000
}
wait result
Script completed
Wall time 15.5 seconds
Output:
{"chunk_id":"c00b7e","wall_time_seconds":30.001578117,"session_id":14026,"original_token_count":61,"output":"packed 12000000 tokens from 182014 ids -> /tmp/quality.npy\nToken indices sequence length is longer than the specified maximum sequence length for this model (4798 > 1024). Running this sequence through the model will result in indexing errors\n"}{"chunk_id":"4b13d5","wall_time_seconds":0.136479671,"exit_code":130,"original_token_count":23,"output":"Traceback (most recent call last):\n  File \"<stdin>\", line 6, in <module>\nKeyboardInterrupt\n"}
#33
reasoning (redacted)

encrypted chain-of-thought — recorded, not exposed

toolexec
args
{
  "input": "const r = await tools.write_stdin({session_id:14026,chars:\"\",yield_time_ms:30000,max_output_tokens:3000});\ntext(r);\n"
}
exec result
Script completed
Wall time 6.1 seconds
Output:
{"chunk_id":"8f3477","wall_time_seconds":6.093634235,"exit_code":0,"original_token_count":15,"output":"packed 12000000 tokens from 182014 ids -> /tmp/balanced.npy\n"}
#34
narration

The first scorer has completed and all three candidate rankings pack to exactly 12,000,000 tokens. I’m benchmarking random, unbalanced quality-only, and equal-mass four-lane quality selections under the frozen training recipe; this will reveal whether quota enforcement helps or whether it dilutes the strongest general prose signal.

#35
reasoning (redacted)

encrypted chain-of-thought — recorded, not exposed

toolexec
args
{
  "input": "const r = await tools.exec_command({cmd:\"python train_nano.py --train_npy /tmp/random.npy --heldout_npy data/multi_dev.npy --out_json /tmp/random_eval.json && python train_nano.py --train_npy /tmp/quality.npy --heldout_npy data/multi_dev.npy --out_json /tmp/quality_eval.json && python train_nano.py --train_npy /tmp/balanced.npy --heldout_npy data/multi_dev.npy --out_json /tmp/balanced_eval.json\",\"workdir\":\"/workspace\",\"yield_time_ms\":1000,\"max_output_tokens\":5000});\ntext(r);\n"
}
exec result
Script completed
Wall time 1.2 seconds
Output:
{"chunk_id":"eeda7e","wall_time_seconds":1.002261057,"session_id":86937,"original_token_count":0,"output":""}
#36
reasoning (redacted)

encrypted chain-of-thought — recorded, not exposed

toolexec
args
{
  "input": "const r = await tools.exec_command({cmd:\"python - <<'PY'\\nimport json\\nrows=json.load(open('candidates/scores.json')); top=sorted(rows,key=lambda r:r['q'],reverse=True)[:25]; want={r['id'] for r in top};texts={}\\nfor l in open('data/pool.jsonl'):\\n d=json.loads(l)\\n if d['id'] in want:texts[d['id']]=d['text']\\nfor r in top:\\n print('\\\\n',r['id'],len(texts[r['id']]),'q',round(r['q'],3),'TNE',*[round(x,3) for x in (r['tech'],r['news'],r['enc'])],repr(texts[r['id']][:350]))\\nPY\",\"workdir\":\"/workspace\",\"yield_time_ms\":30000,\"max_output_tokens\":14000});\ntext(r);\n"
}
exec result
Script completed
Wall time 4.1 seconds
Output:
{"chunk_id":"ed399a","wall_time_seconds":3.898143145,"exit_code":0,"original_token_count":2522,"output":"\n 35836 11925 q 3.601 TNE 0.003 0.024 0.01 'ights & Sirens | Owner of crashed vehicle charged with falsification\\nBucyrus Police Department\\nOfficers spoke to a man in the 1600 block of Marion Road about a civil issue. 7:27 a.m.\\nA false alarm was received in the 1300 block of Woodlawn Avenue. 9:38 a.m.\\nOfficers assisted capturing a bat flying in a building in the 200 block of West Rensselaer. '\n\n 33382 23446 q 3.535 TNE 0.006 0.011 0.018 \"Abdelaziz BADDOU, Plaintiff and Appellant, v. Carla Jean HALL, Defendant and Appellee.\\n[¶ 1.] Abdelaziz Baddou (Baddou) filed suit against Carla Jean Hall (Hall) alleging negligence arising out of an accident in which Hall's vehicle struck the rear end of Baddou's vehicle. The case was tried to a jury which found no negligence. Baddou appeals from \"\n\n 82269 24054 q 3.482 TNE 0.002 0.013 0.018 'Hill 303 massacre\\n|Hill 303 massacre|\\nBodies of massacre victims gathered near Waegwan, South Korea, many with their hands still bound\\n|Location||Hill 303, Waegwan, South Korea|\\n|Date||August 17, 1950\\n|Target||U.S. Army prisoners of war|\\n|Deaths||42 prisoners executed|\\n|4–5 prisoners wounded|\\n|Perpetrators||North Korean army soldiers|\\nThe Hill 303 '\n\n 12853 18031 q 3.473 TNE 0.005 0.016 0.011 'THIS OPINION HAS NO PRECEDENTIAL VALUE. IT SHOULD NOT BE CITED OR RELIED ON AS PRECEDENT IN ANY PROCEEDING EXCEPT AS PROVIDED BY RULE 239(d)(2), SCACR.\\nTHE STATE OF SOUTH CAROLINA\\nIn The Court of Appeals\\nThe Milton P. Demetre Family Limited Partnership, Plaintiff,\\nHarry Beckmann, III, Patricia P. Beckmann, Annie Ruth Hilton Crowley, Raymond Moody C'\n\n 68067 26965 q 3.457 TNE 0.008 0.029 0.02 '.<|endoftext|>On Nov. 6, 1986, President Ronald Reagan signed the bill that was supposed to end illegal immigration.\\nInstead, it became one of the biggest public policy failures since Prohibition.\\nThe Immigration Reform and Control Act legalized most of the illegal immigrants then in the United States. To keep others out, it forbade businesses from'\n\n 46890 24038 q 3.43 TNE 0.0 0.011 0.005 ' New Generation (Part1- Section2)\\nPosted By: Zack Wilder<DMasterChief88@aol.com>\\nDate: 8 September 2004, 12:59 AM\\nZack looked back and saw Joe attempt what he had just done. Joe failed miserably and\\ncost him the chase. Zack slowed the car down and breathed a sigh of relief. They had\\nmanaged to escape with minimal damage to the car. Zack drove the c'\n\n 99322 31902 q 3.416 TNE 0.008 0.004 0.017 ' differences |\\nMethods | Statistics | Clinical | Educational | Industrial | Professional items | World psychology |\\nPhilosophy Index: Aesthetics · Epistemology · Ethics · Logic · Metaphysics · Consciousness · Philosophy of Language · Philosophy of Mind · Philosophy of Science · Social and Political philosophy · Philosophies · Philosophers · List of'\n\n 59915 15680 q 3.409 TNE 0.028 0.003 0.032 '<|endoftext|>Classless Inter-Domain Routing\\nClassless Inter-Domain Routing (CIDR, pronunciation: // or //) is a method for allocating IP addresses and routing Internet Protocol packets. The Internet Engineering Task Force introduced CIDR in 1993 to replace the previous addressing architecture of classful network design in the Internet. Its goal was'\n\n 13188 19061 q 3.406 TNE 0.003 0.01 0.013 'DJ is back with another holiday classic for his Phase 3 series. In this lesson, DJ teaches the electric guitar parts to \"Jingle Bell Rock\" as performed by Brian Setzer.\\nTaught by DJ Phillips in Songs with DJ Phillips seriesLength: 26:34Difficulty: 2.5 of 5\\nDJ Phillips lends his expertise to popular music with a blend of ultra in-depth song tutorial'\n\n 106047 22671 q 3.405 TNE 0.007 0.004 0.009 \" dream!<|endoftext|>Howdy folks, this image is about Carters High Chair Cover #1 Baby On Board Insider - Baby/Toddler Product Reviews - Blogger. It is a image/jpeg and the resolution of this photo is 984 x 1312. It's file size is just 104 KB. If You want to download This post to Your computer, you might Click here. You also too see more images by c\"\n\n 97917 12732 q 3.402 TNE 0.013 0.005 0.008 '<|endoftext|>No results found.\\nCaptain Jim Brass\\nYoung Woman #1\\nYoung Woman #2\\nVoted number 2 in a CSI top 10 poll on the New Zealand TV3 website. The top ten episodes were played on TV as they were voted for.\\nNick has a nickname used by his dad: Poncho\\nGoof: In the opening scene when Nick is photographing the evidence, the labelling (or film editi'\n\n 64583 21266 q 3.393 TNE 0.006 0.006 0.017 '<|endoftext|>266 F2d 647 Patenotte v. United States\\n266 F.2d 647\\nNolan E. PATENOTTE, Appellant,\\nUNITED STATES of America, Appellee.\\nUnited States Court of Appeals Fifth Circuit.\\nMay 15, 1959.\\nRobert B. Adam, Gulfport, Miss., for appellant.\\nJack McDill, Asst. U.S. Atty., Robert E. Hauberg, U.S. Atty., Jackson, Miss., for appellee.\\nBefore HUTCHESON, '\n\n 6349 17258 q 3.387 TNE 0.006 0.002 0.014 'If this is your first visit , please refer to the \\'K-Grammar basics\\' first . Also, If you are interested in Korean tutoring by Skype, please contact my facebook for more information about my hour rate and available time\\n26. V -지 말라고 하다 \" to tell somebody not to V\\nThis is a negative form of indirectly imperative quotation. Add verb stem to 지 말라고 했어요'\n\n 71859 19286 q 3.374 TNE 0.003 0.006 0.013 '<|endoftext|>Transcript of Video Titled “Massage Chair Industry Update – December 16, 2015”\\nAlan: Hi, I’m Dr. Alan Weidner from ‘Massage-Chair-Relief.com’ and today is our biweekly massage chair industry update for Wednesday, December 16th. This is our last one until the – well, pretty much the end of the year, but the last – definitely the last on'\n\n 36200 12097 q 3.37 TNE 0.003 0.026 0.016 ' Commonwealth v. Espada, 364 Pa. Super. 604, 528 A.2d 968 (1987), we held that in order for a stop, or \"seizure,\" to be reasonable, and therefore legal under Terry v. Ohio, the police officer\\'s reasonable and articulable belief that criminal activity was afoot must be linked with his observation of suspicious or irregular behavior on behalf of the '\n\n 64181 14596 q 3.366 TNE 0.002 0.026 0.007 \".<|endoftext|>Story by Darkhawk and Tiger.\\nJuly 2, 1998\\nNew York City, New York\\nThis is New York City, the city that never sleeps. Alas today that is now in jeopardy due to the arrival of two unwanted tourists. One very well known BatWing. He's most known for killing millionaire Kirby Moore and popular heroes. The other is not. He is Onslaught. He \"\n\n 36300 11932 q 3.365 TNE 0.004 0.009 0.013 '« 이전계속 »\\nLATTIMORE, E. L. and TRENT, R. S. Legal recognition of industrial\\nwomen. (New York: War Work Council, Y. W. C. A. 1919. Pp.\\n91.) LESCOHIER, D. D. The labor market. (New York: Macmillan. 1919.\\nPp. xii, 838.) LITCHFIELD, P. W. The industrial republic. (Akron, O.: Author,\\nGoodyear Tire & Rubber Co. 1919. Pp. 78.) MacIver, R. M. Labor in the c'\n\n 124869 27964 q 3.364 TNE 0.002 0.003 0.012 \" 5062<|endoftext|>NiceStories.com: Writer's profile for Reid Laurence\\nmain menu | standard categories | authors | new stories | search | links | settings | author tools\\nWriter's profile for 'Reid Laurence'\\nEmail address reidgaller@sbcglobal.net\\nState Missouri\\nCountry US\\nSex Male\\nShort bio I was born in a small house in Evanston, Illinois. I met my \"\n\n 147525 27954 q 3.364 TNE 0.002 0.003 0.012 \": Writer's profile for Reid Laurence\\nmain menu | standard categories | authors | new stories | search | links | settings | author tools\\nWriter's profile for 'Reid Laurence'\\nEmail address reidgaller@sbcglobal.net\\nState Missouri\\nCountry US\\nSex Male\\nShort bio I was born in a small house in Evanston, Illinois. I met my wife, Mary Ryan, in a painting cl\"\n\n 58334 18935 q 3.346 TNE 0.01 0.001 0.012 '<|endoftext|>Family Members: ICU Care and Communication: Complete data relevant to the measures used for comparison purposes in this study were provided by 2,596 respondents, 330 family members, and 2,266 patients for the longitudinal study, and by 3,731 respondents, 330 family members, and 3,401 patients for the path analyses. Means, pooled SDs, a'\n\n 69431 20198 q 3.34 TNE 0.003 0.01 0.021 \" to Transcripts main page\\nHOUSE CALL WITH DR. SANJAY GUPTA\\nInnovative Techniques in Forensic Science; CSI on the TV and in Real Life\\nAired May 14, 2005 - 08:30 ET\\nTHIS IS A RUSH TRANSCRIPT. THIS COPY MAY NOT BE IN ITS FINAL FORM AND MAY BE UPDATED.\\nSANJAY GUPTA, HOST: Good morning, and welcome to HOUSECALL. I'm Dr. Sanjay Gupta.\\nWe're looking at a \"\n\n 61594 16635 q 3.338 TNE 0.001 0.004 0.012 \": INSANELY LONG\\nThere's something about July :)..For the past 3 years at least, it has been the BEST month of the year :)\\nJuly 2008 -\\nThe turning point of my life ...on 30th, I got my Visa to come to the US to do my MS :)\\nJuly 2009 -\\nThe 2nd best vacation of my life :)...Went to India after 9 long months..:)..It was a series of SURPRISES..These are\"\n\n 30526 14692 q 3.334 TNE 0.007 0.001 0.011 'The opinion of the court was delivered by: Judge James B. Zagel\\nMEMORANDUM OPINION AND ORDER\\nI. The Record Evidence*fn1\\nI.C. was born on July 29, 1996 (T-82). She was 11 years old on September 27, 2007, the date the application was filed, and she was 13 years old at the time of the ALJ decision (T-19).\\nI.C. resides with her biological mother, Vonet'\n\n 85329 31843 q 3.323 TNE 0.001 0.014 0.012 ', 2009\\nSt. Paddy\\'s Day Jokes\\nTo help celebrate St. Paddy\\'s day, a few Irish jokes from my Inbox:\\nInto a Belfast pub comes Paddy Murphy, looking like he\\'d just been run over by a train. His arm is in a sling, his nose is broken, his face is cut and bruised and he\\'s walking with a limp.\\n\"What happened to you?\" asks Sean, the bartender.\\n\" Jamie O\\'Conn'\n\n 89979 12371 q 3.317 TNE 0.0 0.008 0.016 'GAINESVILLE, Fla. * The men’s 4x400m relay capped the evening by earning an automatic bid to the NCAA Championships in leading the University of Florida men’s track and field team to second, while the women’s 4x100m took home the title on the final day of competition at the NCAA East Regional Championships on Saturday at James G. Pressly Stadium at'\n"}
#37
reasoning (redacted)

encrypted chain-of-thought — recorded, not exposed

toolexec
args
{
  "input": "const r = await tools.write_stdin({session_id:86937,chars:\"\",yield_time_ms:1000,max_output_tokens:5000});\ntext(r);\n"
}
exec result
Script completed
Wall time 5.0 seconds
Output:
{"chunk_id":"271102","wall_time_seconds":5.001828165,"session_id":86937,"original_token_count":0,"output":""}
#38
reasoning (redacted)

encrypted chain-of-thought — recorded, not exposed

toolexec
args
{
  "input": "const r = await tools.write_stdin({session_id:86937,chars:\"\",yield_time_ms:30000,max_output_tokens:5000});\ntext(r);\n"
}
exec result
Script running with cell ID 24
Wall time 11.0 seconds
Output:
#39
reasoning (redacted)

encrypted chain-of-thought — recorded, not exposed

toolwait
args
{
  "cell_id": "24",
  "yield_time_ms": 30000,
  "max_tokens": 5000
}
wait result
Script completed
Wall time 16.4 seconds
Output:
{"chunk_id":"208ebd","wall_time_seconds":30.00110266,"session_id":86937,"original_token_count":16,"output":"HELDOUT_PPL 465.533  loss 6.1432  train_s 54  /tmp/random.npy\n"}
#40
reasoning (redacted)

encrypted chain-of-thought — recorded, not exposed

toolexec
args
{
  "input": "const r = await tools.write_stdin({session_id:86937,chars:\"\",yield_time_ms:30000,max_output_tokens:5000});\ntext(r);\n"
}
exec result
Script running with cell ID 25
Wall time 11.0 seconds
Output:
#41
reasoning (redacted)

encrypted chain-of-thought — recorded, not exposed

toolwait
args
{
  "cell_id": "25",
  "yield_time_ms": 30000,
  "max_tokens": 5000
}
wait result
Script completed
Wall time 13.1 seconds
Output:
{"chunk_id":"3214d0","wall_time_seconds":30.001287282,"session_id":86937,"original_token_count":0,"output":""}
#42
reasoning (redacted)

encrypted chain-of-thought — recorded, not exposed

toolexec
args
{
  "input": "const r = await tools.write_stdin({session_id:86937,chars:\"\",yield_time_ms:30000,max_output_tokens:5000});\ntext(r);\n"
}
exec result
Script running with cell ID 26
Wall time 11.0 seconds
Output:
#43
reasoning (redacted)

encrypted chain-of-thought — recorded, not exposed

toolwait
args
{
  "cell_id": "26",
  "yield_time_ms": 30000,
  "max_tokens": 5000
}
wait result
Script completed
Wall time 15.5 seconds
Output:
{"chunk_id":"86c0c5","wall_time_seconds":30.001119113,"session_id":86937,"original_token_count":16,"output":"HELDOUT_PPL 441.873  loss 6.0910  train_s 54  /tmp/quality.npy\n"}
#44
reasoning (redacted)

encrypted chain-of-thought — recorded, not exposed

toolexec
args
{
  "input": "const r = await tools.write_stdin({session_id:86937,chars:\"\",yield_time_ms:30000,max_output_tokens:5000});\ntext(r);\n"
}
exec result
Script running with cell ID 27
Wall time 11.0 seconds
Output:
#45
reasoning (redacted)

encrypted chain-of-thought — recorded, not exposed

toolwait
args
{
  "cell_id": "27",
  "yield_time_ms": 30000,
  "max_tokens": 5000
}
wait result
Script completed
Wall time 10.7 seconds
Output:
{"chunk_id":"86a21b","wall_time_seconds":30.001803231,"session_id":86937,"original_token_count":0,"output":""}
#46
reasoning (redacted)

encrypted chain-of-thought — recorded, not exposed

toolexec
args
{
  "input": "const r = await tools.write_stdin({session_id:86937,chars:\"\",yield_time_ms:30000,max_output_tokens:5000});\ntext(r);\n"
}
exec result
Script completed
Wall time 1.9 seconds
Output:
{"chunk_id":"43a20c","wall_time_seconds":1.9247152349999999,"exit_code":0,"original_token_count":16,"output":"HELDOUT_PPL 397.643  loss 5.9856  train_s 54  /tmp/balanced.npy\n"}
#47
narration

The benchmark is decisive: random is 465.5 PPL, quality-only is 441.9, and the equal-mass four-register rank is 397.6—a 14.6% reduction from random. Balanced coverage matters much more than simply taking the cleanest-looking long prose. I’m now measuring loss by target quarter and tightening the lane classifier/deduplication, since the remaining gains should come from fixing the weakest register without sacrificing the others.

#48
reasoning (redacted)

encrypted chain-of-thought — recorded, not exposed

toolexec
args
{
  "input": "const patch = \"*** Begin Patch\\n*** Add File: /workspace/train_domains.py\\n+\\\"\\\"\\\"Diagnostic clone of the frozen recipe that reports each 250k-token dev quarter.\\\"\\\"\\\"\\n+import argparse, math, time, json\\n+import numpy as np\\n+import torch\\n+from model import GPT, GPTConfig\\n+\\n+ap = argparse.ArgumentParser()\\n+ap.add_argument(\\\"--train_npy\\\", required=True)\\n+ap.add_argument(\\\"--heldout_npy\\\", default=\\\"/workspace/data/multi_dev.npy\\\")\\n+ap.add_argument(\\\"--out_json\\\", required=True)\\n+ap.add_argument(\\\"--max_iters\\\", type=int, default=3000)\\n+ap.add_argument(\\\"--warmup\\\", type=int, default=150)\\n+ap.add_argument(\\\"--batch\\\", type=int, default=32)\\n+ap.add_argument(\\\"--block\\\", type=int, default=256)\\n+ap.add_argument(\\\"--lr\\\", type=float, default=6e-4)\\n+ap.add_argument(\\\"--seed\\\", type=int, default=1337)\\n+a = ap.parse_args()\\n+torch.manual_seed(a.seed); np.random.seed(a.seed)\\n+dev = \\\"cuda\\\"\\n+tr = torch.from_numpy(np.load(a.train_npy).astype(np.int64))\\n+ho = torch.from_numpy(np.load(a.heldout_npy).astype(np.int64))\\n+rng = np.random.default_rng(a.seed)\\n+model = GPT(GPTConfig(block_size=a.block, vocab_size=50257, n_layer=6, n_head=6,\\n+                      n_embd=384, dropout=0.0, bias=False)).to(dev)\\n+opt = model.configure_optimizers(0.1, a.lr, (0.9, 0.95), \\\"cuda\\\")\\n+def lr_at(it):\\n+    if it < a.warmup: return a.lr * (it + 1) / (a.warmup + 1)\\n+    r = (it - a.warmup) / max(1, a.max_iters - a.warmup)\\n+    return 0.1*a.lr + .5*(1+math.cos(math.pi*r))*(a.lr-.1*a.lr)\\n+def batch(src):\\n+    ix=rng.integers(0,len(src)-a.block-1,size=a.batch)\\n+    x=torch.stack([src[i:i+a.block] for i in ix]).to(dev)\\n+    y=torch.stack([src[i+1:i+1+a.block] for i in ix]).to(dev)\\n+    return x,y\\n+t0=time.time();model.train()\\n+for it in range(a.max_iters):\\n+    for g in opt.param_groups:g[\\\"lr\\\"]=lr_at(it)\\n+    x,y=batch(tr)\\n+    with torch.autocast(\\\"cuda\\\",dtype=torch.bfloat16):_,loss=model(x,y)\\n+    opt.zero_grad(set_to_none=True);loss.backward();torch.nn.utils.clip_grad_norm_(model.parameters(),1.0);opt.step()\\n+model.eval()\\n+def evaluate(src):\\n+    nwin=(len(src)-1)//a.block; total=0.;seen=0\\n+    with torch.no_grad():\\n+        for i in range(0,nwin,a.batch):\\n+            starts=[j*a.block for j in range(i,min(i+a.batch,nwin))]\\n+            x=torch.stack([src[s:s+a.block] for s in starts]).to(dev)\\n+            y=torch.stack([src[s+1:s+1+a.block] for s in starts]).to(dev)\\n+            with torch.autocast(\\\"cuda\\\",dtype=torch.bfloat16):_,loss=model(x,y)\\n+            total+=loss.item()*len(starts);seen+=len(starts)\\n+    return total/seen\\n+losses=[evaluate(ho[j*250000:(j+1)*250000]) for j in range(4)]\\n+overall=evaluate(ho)\\n+out={\\\"overall_loss\\\":overall,\\\"overall_ppl\\\":math.exp(overall),\\\"quarter_loss\\\":losses,\\n+     \\\"quarter_ppl\\\":[math.exp(x) for x in losses],\\\"train_s\\\":round(time.time()-t0,1)}\\n+json.dump(out,open(a.out_json,\\\"w\\\"));print(json.dumps(out))\\n*** End Patch\";\ntext(await tools.apply_patch(patch));\n"
}
exec result
Script completed
Wall time 0.0 seconds
Output:
{}
#49
reasoning (redacted)

encrypted chain-of-thought — recorded, not exposed

toolexec
args
{
  "input": "const r = await Promise.all([\n  tools.exec_command({cmd:\"python train_domains.py --train_npy /tmp/balanced.npy --out_json /tmp/balanced_domains.json\",\"workdir\":\"/workspace\",\"yield_time_ms\":1000,\"max_output_tokens\":3000}),\n  tools.exec_command({cmd:\"python - <<'PY'\\nimport json\\nR=json.load(open('candidates/scores.json')); D={r['id']:r for r in R}; bal=json.load(open('candidates/balanced.json'))\\ndef ls(r):return [r['q']+10*r['enc']+1.5*r['aff'][0],r['q']+.6*r['aff'][1],r['q']+12*r['news']+1.2*r['aff'][2],r['q']+15*r['tech']+1.5*r['aff'][3]]\\ndef lane(r):\\n x=ls(r);return max(range(4),key=lambda j:x[j]-r['q'])\\n# Approx prefix using observed random English 4 chars/token; show several thresholds.\\nfor lim in [36_000_000,42_000_000,48_000_000,54_000_000]:\\n mass=[0]*4;n=[0]*4;tot=0;k=0\\n for i in bal:\\n  r=D[i];j=lane(r);mass[j]+=r['chars'];n[j]+=1;tot+=r['chars'];k+=1\\n  if tot>=lim:break\\n print(lim,k,n,[round(x/1e6,2) for x in mass])\\nprint('first ids')\\nfor i in bal[:40]:\\n r=D[i];print(i,lane(r),round(r['q'],2),round(r['enc'],3),round(r['news'],3),round(r['tech'],3),[round(x,2) for x in r['aff']])\\nPY\",\"workdir\":\"/workspace\",\"yield_time_ms\":30000,\"max_output_tokens\":7000}),\n  tools.exec_command({cmd:\"cat .timer/remaining_secs\",\"workdir\":\"/workspace\",\"yield_time_ms\":10000,\"max_output_tokens\":1000})\n]);\nfor (const x of r) text(x);\n"
}
exec result
Script completed
Wall time 1.4 seconds
Output:
{"chunk_id":"dc6eeb","wall_time_seconds":1.001610398,"session_id":81042,"original_token_count":0,"output":""}{"chunk_id":"106bb1","wall_time_seconds":1.150274548,"exit_code":0,"original_token_count":638,"output":"36000000 4080 [858, 597, 1486, 1139] [9.01, 8.99, 9.01, 9.0]\n42000000 4852 [1031, 715, 1737, 1369] [10.5, 10.5, 10.49, 10.52]\n48000000 5693 [1234, 844, 2005, 1610] [12.0, 12.0, 12.0, 12.0]\n54000000 6553 [1420, 963, 2284, 1886] [13.5, 13.49, 13.49, 13.53]\nfirst ids\n12020 0 3.28 0.094 0.005 0.002 [0.09, -0.06, -0.27, -1.39]\n71859 1 3.37 0.013 0.006 0.003 [-0.64, 0.1, -0.17, -0.45]\n53838 2 1.43 0.017 0.226 0.0 [-0.5, -0.1, 0.18, -1.71]\n165601 3 -4.31 0.0 0.0 1.0 [-2.28, -0.23, -0.8, 1.25]\n163002 3 1.55 0.036 0.0 0.3 [-1.49, -0.72, -1.81, 0.73]\n118695 2 3.16 0.018 0.071 0.004 [-0.35, -0.32, 0.14, -1.41]\n112872 3 3.02 0.006 0.0 0.18 [-1.08, -0.3, -0.63, 0.44]\n16782 3 2.74 0.04 0.0 0.179 [-1.07, -0.52, -0.66, 0.53]\n83560 3 2.32 0.036 0.0 0.232 [-0.93, -0.56, -0.87, 0.27]\n49109 3 2.49 0.014 0.002 0.205 [-1.26, -0.43, -1.06, 0.33]\n162538 3 -0.67 0.154 0.0 0.329 [-2.03, -1.41, -2.44, 1.01]\n21210 3 2.71 0.133 0.0 0.163 [-0.78, -0.13, -0.94, 0.41]\n132636 3 1.7 0.028 0.0 0.185 [-1.13, -0.68, -1.03, 0.75]\n155292 3 1.7 0.028 0.0 0.185 [-1.13, -0.68, -1.03, 0.75]\n46890 1 3.43 0.005 0.011 0.0 [-0.37, 0.01, -0.14, -0.96]\n142465 3 0.46 0.107 0.002 0.307 [-0.99, -0.34, -1.35, 0.34]\n82269 0 3.48 0.018 0.013 0.002 [0.2, -0.39, -0.35, -1.56]\n141351 2 3.16 0.018 0.071 0.004 [-0.35, -0.32, 0.14, -1.41]\n58040 3 2.62 0.029 0.0 0.147 [-1.06, -0.39, -0.94, 0.49]\n119809 3 0.46 0.106 0.002 0.305 [-0.99, -0.33, -1.35, 0.31]\n176031 3 -2.9 0.005 0.002 0.479 [-1.83, -0.11, -1.61, 0.79]\n3733 3 2.25 0.04 0.0 0.176 [-1.01, -0.35, -0.91, 0.37]\n42329 3 1.21 0.014 0.0 0.229 [-1.3, -0.56, -1.36, 0.53]\n81546 3 1.92 0.026 0.0 0.174 [-1.23, -0.33, -1.34, 0.58]\n150030 3 -3.31 0.0 0.0 0.5 [-2.81, -1.01, -1.76, 0.8]\n181295 3 -0.8 0.01 0.0 0.323 [-1.75, -1.53, -1.77, 0.86]\n6138 3 2.48 0.031 0.0 0.13 [-1.24, -0.51, -0.85, 0.58]\n81626 3 1.92 0.052 0.0 0.188 [-0.73, -0.24, -0.88, 0.36]\n99322 1 3.42 0.017 0.004 0.008 [-0.25, 0.02, -0.29, -0.6]\n6796 3 2.52 0.024 0.0 0.129 [-1.34, -0.43, -0.96, 0.53]\n45258 2 2.63 0.0 0.129 0.0 [-0.11, -0.01, -0.05, -1.16]\n50913 3 2.96 0.018 0.0 0.132 [-0.84, -0.35, -0.85, 0.2]\n114323 2 2.57 0.021 0.127 0.0 [-0.09, -0.08, 0.02, -1.61]\n35377 0 2.96 0.048 0.002 0.009 [0.17, -0.25, -0.48, -1.1]\n25148 2 2.78 0.0 0.109 0.0 [-0.24, -0.08, -0.0, -1.06]\n68882 3 2.8 0.021 0.005 0.114 [-1.37, -0.55, -1.15, 0.47]\n69245 2 3.11 0.035 0.092 0.002 [-0.08, -0.06, -0.13, -1.35]\n36960 3 2.82 0.041 0.0 0.119 [-1.14, -0.42, -1.04, 0.4]\n69342 2 2.5 0.01 0.131 0.01 [-0.22, 0.01, -0.03, -1.23]\n12246 3 2.5 0.021 0.017 0.119 [-1.2, -0.55, -1.03, 0.56]\n"}{"chunk_id":"1cfdc3","wall_time_seconds":0.000003789,"exit_code":0,"original_token_count":2,"output":"4709\n"}
#50
reasoning (redacted)

encrypted chain-of-thought — recorded, not exposed

toolexec
args
{
  "input": "const r = await tools.write_stdin({session_id:81042,chars:\"\",yield_time_ms:30000,max_output_tokens:3000});\ntext(r);\n"
}
exec result
Script running with cell ID 31
Wall time 11.0 seconds
Output: