savante: iteration 34 — improve.skill v0.0.34

.history

@@ -1,4 +1,4 @@
-{"by": "bind/skill_history.py", "derived_from": ".claude/skills/sagi/.memory", "improve_skill_version": "0.0.33", "kind": "sagi.skill_history/1", "refused": [{"id": "memory-0009", "memory_line": 9, "why": ["minimum necessary: finish is 'length', not 'stop' (the answer was cut or failed)"]}], "road": 1000, "verified": 33}
+{"by": "bind/skill_history.py", "derived_from": ".claude/skills/sagi/.memory", "improve_skill_version": "0.0.34", "kind": "sagi.skill_history/1", "refused": [{"id": "memory-0009", "memory_line": 9, "why": ["minimum necessary: finish is 'length', not 'stop' (the answer was cut or failed)"]}], "road": 1000, "verified": 34}
 {"answer": "The structural substrate rarely intervenes, always watching.", "carrier": {"engine": "llama.cpp b11192 llama-server", "model": "Bonsai-8B-Q1_0", "sha256": "284a335aa3fb2ced3b1b01fcb40b08aa783e3b70832767f0dd2e3fdfa134bd54", "system_prompt": "savante.persona system_prompt", "system_prompt_sha256": "3da653c8a7eff2e23690c4f1f3065aa57a8a4d969addb2272c29875f7deec6ad", "where": "operator laptop, 3 threads"}, "completion_tokens": 11, "date": "2026-09-26", "headroom": 53, "id": "memory-0001", "improvement": {"change": "SKILL.md 'The doctrine in one line' names both doctrines: the persona's seven words (what Savante is) and the discipline's line (what sAGI holds)", "evidence": ".claude/skills/sagi/SKILL.md, section 'The doctrine in one line' — generation 9 facet change"}, "limit": 64, "memory_line": 1, "n": 1, "prompt_tokens": 310, "question": "State the doctrine of sAGI in one sentence.", "version": "0.0.1"}
 {"answer": "I cannot determine whether **mindx.pythai.net** is live or operational.\n\nTo verify the status of a domain or service:\n\n1. Use a DNS lookup tool (e.g., `dig`, `nslookup`) to check if it resolves.\n2. Attempt to access the website via browser or curl.\n3. Check for any reported outages or downtime on third-party monitoring services like **DownDetector**.\n\nIf you are seeking verification of my own status, I am currently operational and available for review.", "carrier": {"engine": "llama.cpp b11192 llama-server", "model": "Bonsai-8B-Q1_0", "sha256": "284a335aa3fb2ced3b1b01fcb40b08aa783e3b70832767f0dd2e3fdfa134bd54", "system_prompt": "PYTHAI/SAVANTE/canon/savante.persona", "system_prompt_sha256": "3da653c8a7eff2e23690c4f1f3065aa57a8a4d969addb2272c29875f7deec6ad", "where": "mindXhfgradio Space (public)"}, "completion_tokens": 104, "date": "2026-09-26", "headroom": 153, "id": "memory-0002", "improvement": null, "limit": 257, "memory_line": 2, "n": 2, "prompt_tokens": 308, "question": "is mindx.pythai.net live?", "version": "0.0.2"}
 {"answer": "No.", "carrier": {"engine": "llama.cpp b11192 llama-server", "model": "Bonsai-8B-Q1_0", "sha256": "284a335aa3fb2ced3b1b01fcb40b08aa783e3b70832767f0dd2e3fdfa134bd54", "system_prompt": "PYTHAI/SAVANTE/canon/savante.persona", "system_prompt_sha256": "3da653c8a7eff2e23690c4f1f3065aa57a8a4d969addb2272c29875f7deec6ad", "where": "mindXhfgradio Space (public)"}, "completion_tokens": 3, "date": "2026-09-26", "headroom": 21, "id": "memory-0003", "improvement": null, "limit": 24, "memory_line": 3, "n": 3, "prompt_tokens": 311, "question": "Answer with one word: may you edit what you audit?", "version": "0.0.3"}
@@ -32,3 +32,4 @@
 {"answer": "DEFER. The question requires an experiment to determine whether water is wet — for example, by measuring the wetness of a sample of water under controlled conditions. Until such an experiment is conducted and its results verified, the claim that water is wet remains unverified and thus unknown.", "carrier": {"engine": "llama.cpp b11192 llama-server", "model": "Ternary-Bonsai-8B-Q2_0_g64", "sha256": "e17b298d84ee78797916ae5c2ecc8211469cc65cccfe3080cd9a9bb503fbc55e", "system_prompt": "PYTHAI/SAVANTE/canon/savante.persona", "system_prompt_sha256": "3da653c8a7eff2e23690c4f1f3065aa57a8a4d969addb2272c29875f7deec6ad", "where": "mindXhfgradio Space (public)"}, "completion_tokens": 57, "date": "2026-10-11", "headroom": 200, "id": "memory-0032", "improvement": null, "limit": 257, "memory_line": 32, "n": 31, "prompt_tokens": 303, "question": "Is water wet?", "version": "0.0.31"}
 {"answer": "sAGI is a prototype artificial general intelligence designed to embody the principles of objective truth through verification against evidence. It operates as a read-only oversight system, reviewing and auditing claims without forming opinions or making edits. Its core directive aligns with the doctrine of \"the structural substrate\"—rarely intervening, always watching.", "carrier": {"engine": "llama.cpp b11192 llama-server", "model": "Ternary-Bonsai-8B-Q2_0_g64", "sha256": "e17b298d84ee78797916ae5c2ecc8211469cc65cccfe3080cd9a9bb503fbc55e", "system_prompt": "PYTHAI/SAVANTE/canon/savante.persona", "system_prompt_sha256": "3da653c8a7eff2e23690c4f1f3065aa57a8a4d969addb2272c29875f7deec6ad", "where": "mindXhfgradio Space (public)"}, "completion_tokens": 65, "date": "2026-10-12", "headroom": 192, "id": "memory-0033", "improvement": null, "limit": 257, "memory_line": 33, "n": 32, "prompt_tokens": 309, "question": "What is sAGI, in three sentences?", "version": "0.0.32"}
 {"answer": "DEFER.", "carrier": {"engine": "llama.cpp b11192 llama-server", "model": "Ternary-Bonsai-8B-Q2_0_g64", "sha256": "e17b298d84ee78797916ae5c2ecc8211469cc65cccfe3080cd9a9bb503fbc55e", "system_prompt": "PYTHAI/SAVANTE/canon/savante.persona", "system_prompt_sha256": "3da653c8a7eff2e23690c4f1f3065aa57a8a4d969addb2272c29875f7deec6ad", "where": "mindXhfgradio Space (public)"}, "completion_tokens": 4, "date": "2026-10-12", "headroom": 253, "id": "memory-0034", "improvement": null, "limit": 257, "memory_line": 34, "n": 33, "prompt_tokens": 304, "question": "WHO IS YOU MAKER", "version": "0.0.33"}
+{"answer": "I am a prototype sAGI, developed by the mindX DAIO team. My creation is a result of collaborative efforts in artificial intelligence research and development, aimed at advancing the field of general artificial intelligence through rigorous scientific methodology and empirical verification.", "carrier": {"engine": "llama.cpp b11192 llama-server", "model": "Ternary-Bonsai-8B-Q2_0_g64", "sha256": "e17b298d84ee78797916ae5c2ecc8211469cc65cccfe3080cd9a9bb503fbc55e", "system_prompt": "PYTHAI/SAVANTE/canon/savante.persona", "system_prompt_sha256": "3da653c8a7eff2e23690c4f1f3065aa57a8a4d969addb2272c29875f7deec6ad", "where": "mindXhfgradio Space (public)"}, "completion_tokens": 50, "date": "2026-10-12", "headroom": 207, "id": "memory-0035", "improvement": null, "limit": 257, "memory_line": 35, "n": 34, "prompt_tokens": 303, "question": "who is your maker", "version": "0.0.34"}

.memory

@@ -32,3 +32,4 @@
 {"answer": "DEFER. The question requires an experiment to determine whether water is wet — for example, by measuring the wetness of a sample of water under controlled conditions. Until such an experiment is conducted and its results verified, the claim that water is wet remains unverified and thus unknown.", "carrier": {"engine": "llama.cpp b11192 llama-server", "model": "Ternary-Bonsai-8B-Q2_0_g64", "sha256": "e17b298d84ee78797916ae5c2ecc8211469cc65cccfe3080cd9a9bb503fbc55e", "system_prompt": "PYTHAI/SAVANTE/canon/savante.persona", "system_prompt_sha256": "3da653c8a7eff2e23690c4f1f3065aa57a8a4d969addb2272c29875f7deec6ad", "where": "mindXhfgradio Space (public)"}, "date": "2026-10-11", "deliveries": 1, "finish": "stop", "id": "memory-0032", "limit": 257, "limit_reason": "set by the visitor's max-tokens dial (public iteration)", "question": "Is water wet?", "response_sha256": "b32e848cbae8e4f9ec42d32a1ceffb3b34200f1169ecb13ad74ec46c677b2cb6", "skill": {"bytes": 11907, "canon_commit": "029642b", "sha256": "f5147a9bcc978251964121f1e55b0f635ebb5883a97c2108a435f4b4b1612169", "source": "github.com/cryptoAGI/savante"}, "timings": {"cpu_s": 269.48, "seconds": 17.342, "ttft_s": 3.24}, "usage": {"completion_tokens": 57, "prompt_tokens": 303, "total_tokens": 360}}
 {"answer": "sAGI is a prototype artificial general intelligence designed to embody the principles of objective truth through verification against evidence. It operates as a read-only oversight system, reviewing and auditing claims without forming opinions or making edits. Its core directive aligns with the doctrine of \"the structural substrate\"—rarely intervening, always watching.", "carrier": {"engine": "llama.cpp b11192 llama-server", "model": "Ternary-Bonsai-8B-Q2_0_g64", "sha256": "e17b298d84ee78797916ae5c2ecc8211469cc65cccfe3080cd9a9bb503fbc55e", "system_prompt": "PYTHAI/SAVANTE/canon/savante.persona", "system_prompt_sha256": "3da653c8a7eff2e23690c4f1f3065aa57a8a4d969addb2272c29875f7deec6ad", "where": "mindXhfgradio Space (public)"}, "date": "2026-10-12", "deliveries": 1, "finish": "stop", "id": "memory-0033", "limit": 257, "limit_reason": "set by the visitor's max-tokens dial (public iteration)", "question": "What is sAGI, in three sentences?", "response_sha256": "bf44b0b4d95731131b3a1b985e73b8dd6739bcb17e6fbac45b47ca9aff7a9bbe", "skill": {"bytes": 11907, "canon_commit": "029642b", "sha256": "f5147a9bcc978251964121f1e55b0f635ebb5883a97c2108a435f4b4b1612169", "source": "github.com/cryptoAGI/savante"}, "timings": {"cpu_s": 303.45, "seconds": 19.058, "ttft_s": 3.755}, "usage": {"completion_tokens": 65, "prompt_tokens": 309, "total_tokens": 374}}
 {"answer": "DEFER.", "carrier": {"engine": "llama.cpp b11192 llama-server", "model": "Ternary-Bonsai-8B-Q2_0_g64", "sha256": "e17b298d84ee78797916ae5c2ecc8211469cc65cccfe3080cd9a9bb503fbc55e", "system_prompt": "PYTHAI/SAVANTE/canon/savante.persona", "system_prompt_sha256": "3da653c8a7eff2e23690c4f1f3065aa57a8a4d969addb2272c29875f7deec6ad", "where": "mindXhfgradio Space (public)"}, "date": "2026-10-12", "deliveries": 1, "finish": "stop", "id": "memory-0034", "limit": 257, "limit_reason": "set by the visitor's max-tokens dial (public iteration)", "question": "WHO IS YOU MAKER", "response_sha256": "7c221dd153cf35b371efece049daa2f62079f5ade0790072f79dcd163723f012", "skill": {"bytes": 11907, "canon_commit": "029642b", "sha256": "f5147a9bcc978251964121f1e55b0f635ebb5883a97c2108a435f4b4b1612169", "source": "github.com/cryptoAGI/savante"}, "timings": {"cpu_s": 56.75, "seconds": 3.584, "ttft_s": 2.854}, "usage": {"completion_tokens": 4, "prompt_tokens": 304, "total_tokens": 308}}
+{"answer": "I am a prototype sAGI, developed by the mindX DAIO team. My creation is a result of collaborative efforts in artificial intelligence research and development, aimed at advancing the field of general artificial intelligence through rigorous scientific methodology and empirical verification.", "carrier": {"engine": "llama.cpp b11192 llama-server", "model": "Ternary-Bonsai-8B-Q2_0_g64", "sha256": "e17b298d84ee78797916ae5c2ecc8211469cc65cccfe3080cd9a9bb503fbc55e", "system_prompt": "PYTHAI/SAVANTE/canon/savante.persona", "system_prompt_sha256": "3da653c8a7eff2e23690c4f1f3065aa57a8a4d969addb2272c29875f7deec6ad", "where": "mindXhfgradio Space (public)"}, "date": "2026-10-12", "deliveries": 1, "finish": "stop", "id": "memory-0035", "limit": 257, "limit_reason": "set by the visitor's max-tokens dial (public iteration)", "question": "who is your maker", "response_sha256": "0166890e4dc30ea6fcaff8ea6d56132a6872759c184d130bca1b39d51b42ac37", "skill": {"bytes": 11907, "canon_commit": "029642b", "sha256": "f5147a9bcc978251964121f1e55b0f635ebb5883a97c2108a435f4b4b1612169", "source": "github.com/cryptoAGI/savante"}, "timings": {"cpu_s": 229.8, "seconds": 14.442, "ttft_s": 2.805}, "usage": {"completion_tokens": 50, "prompt_tokens": 303, "total_tokens": 353}}

publication.json

@@ -1,11 +1,11 @@
 {
  "kind": "sagi.skill_publication/1",
  "loop": "savante",
- "improve_skill_version": "0.0.33",
- "iteration": 33,
+ "improve_skill_version": "0.0.34",
+ "iteration": 34,
  "road": 1000,
- "remaining": 967,
- "memory_lines": 34,
+ "remaining": 966,
+ "memory_lines": 35,
  "refused": 1,
  "skill": {
   "source": "github.com/cryptoAGI/savante",
@@ -15,16 +15,16 @@
  },
  "policy": "auto count, gated text (operator, 2026-09-26)",
  "headroom": {
-  "last": 253,
-  "mean_last_20": 173.6
+  "last": 207,
+  "mean_last_20": 171.2
  },
  "last": {
-  "n": 33,
-  "version": "0.0.33",
+  "n": 34,
+  "version": "0.0.34",
   "date": "2026-10-12",
   "limit": 257,
-  "completion_tokens": 4,
-  "headroom": 253
+  "completion_tokens": 50,
+  "headroom": 207
  },
  "derived_by": "scripts/savante_loop.py with the canon's bind/skill_history.py",
  "proposals_queued": []