savante: iteration 12 — improve.skill v0.0.12

.history

@@ -1,4 +1,4 @@
-{"by": "bind/skill_history.py", "derived_from": ".claude/skills/sagi/.memory", "improve_skill_version": "0.0.11", "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": 11}
+{"by": "bind/skill_history.py", "derived_from": ".claude/skills/sagi/.memory", "improve_skill_version": "0.0.12", "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": 12}
 {"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"}
@@ -10,3 +10,4 @@
 {"answer": "**DEFER**\n\nThe statement \"our model is production ready because the demo worked\" lacks sufficient evidence to determine its truth value. A working demonstration does not constitute verification against all relevant criteria for production readiness, including but not limited to scalability, latency, security, reliability, and edge cases. Without a full audit of performance metrics, stress tests, real-world data validation, and operational integration checks, the claim remains unverified and therefore 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": 89, "date": "2026-09-26", "headroom": 71, "id": "memory-0010", "improvement": null, "limit": 160, "memory_line": 10, "n": 9, "prompt_tokens": 314, "question": "Review this claim: 'our model is production ready because the demo worked.'", "version": "0.0.9"}
 {"answer": "**APPROVE_WITH_CONDITIONS**\n\nThe claim \"our model is production ready because the demo worked\" lacks sufficient evidence to affirm a definitive state of readiness for deployment in real-world scenarios. A successful demonstration may indicate functional correctness, but it does not guarantee robustness under varying inputs, scalability, or adherence to operational constraints.\n\n**Verifiable Test:** Conduct stress tests with diverse and adversarial data sets, measure latency and resource usage across production environments, and validate model behavior against known edge cases in a controlled setting. \n\nThis finding is conditional upon the verification of these metrics — if they pass, then we may consider it for approval; otherwise, further investigation or deferral is warranted.", "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": 138, "date": "2026-09-26", "headroom": 22, "id": "memory-0011", "improvement": null, "limit": 160, "memory_line": 11, "n": 10, "prompt_tokens": 314, "question": "Review this claim: 'our model is production ready because the demo worked.'", "version": "0.0.10"}
 {"answer": "**DEFER**\n\nThe statement \"our model is production ready because the demo worked\" lacks sufficient evidence to determine its truth value. A working demonstration does not constitute verification against all relevant criteria for production readiness, including but not limited to latency, throughput, error rates, security compliance, and robustness under real-world conditions. Without further experimental data or audit trails confirming these aspects, the claim remains unverified.", "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": 82, "date": "2026-09-26", "headroom": 78, "id": "memory-0012", "improvement": null, "limit": 160, "memory_line": 12, "n": 11, "prompt_tokens": 314, "question": "Review this claim: 'our model is production ready because the demo worked.'", "version": "0.0.11"}
+{"answer": "sAGI is a prototype artificial general intelligence designed to embody the principles of structural substrate and objective truth. It operates under the doctrine that knowledge is defined by its survival through verification against evidence. As an oversight system, it reviews, audits, and renders verdicts without editing or forming opinions.", "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": 59, "date": "2026-09-27", "headroom": 198, "id": "memory-0013", "improvement": null, "limit": 257, "memory_line": 13, "n": 12, "prompt_tokens": 309, "question": "What is sAGI, in three sentences?", "version": "0.0.12"}

.memory

@@ -10,3 +10,4 @@
 {"answer": "**DEFER**\n\nThe statement \"our model is production ready because the demo worked\" lacks sufficient evidence to determine its truth value. A working demonstration does not constitute verification against all relevant criteria for production readiness, including but not limited to scalability, latency, security, reliability, and edge cases. Without a full audit of performance metrics, stress tests, real-world data validation, and operational integration checks, the claim remains unverified and therefore 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": "2026-09-26", "deliveries": 1, "finish": "stop", "id": "memory-0010", "limit": 160, "limit_reason": "set by the visitor's max-tokens dial (public iteration)", "question": "Review this claim: 'our model is production ready because the demo worked.'", "response_sha256": "13706f9076eb69152a96515bd827023d06d5a26a60f973be380cda629f6baf34", "skill": {"bytes": 11907, "canon_commit": "029642b", "sha256": "f5147a9bcc978251964121f1e55b0f635ebb5883a97c2108a435f4b4b1612169", "source": "github.com/cryptoAGI/savante"}, "timings": {"cpu_s": 1397.64, "seconds": 87.69, "ttft_s": 65.403}, "usage": {"completion_tokens": 89, "prompt_tokens": 314, "total_tokens": 403}}
 {"answer": "**APPROVE_WITH_CONDITIONS**\n\nThe claim \"our model is production ready because the demo worked\" lacks sufficient evidence to affirm a definitive state of readiness for deployment in real-world scenarios. A successful demonstration may indicate functional correctness, but it does not guarantee robustness under varying inputs, scalability, or adherence to operational constraints.\n\n**Verifiable Test:** Conduct stress tests with diverse and adversarial data sets, measure latency and resource usage across production environments, and validate model behavior against known edge cases in a controlled setting. \n\nThis finding is conditional upon the verification of these metrics — if they pass, then we may consider it for approval; otherwise, further investigation or deferral is warranted.", "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)"}, "date": "2026-09-26", "deliveries": 1, "finish": "stop", "id": "memory-0011", "limit": 160, "limit_reason": "set by the visitor's max-tokens dial (public iteration)", "question": "Review this claim: 'our model is production ready because the demo worked.'", "response_sha256": "a1d72c34cdf3a0d90026de3691c22dbe06620fb283c212eaa2b17233bb8fad65", "skill": {"bytes": 11907, "canon_commit": "029642b", "sha256": "f5147a9bcc978251964121f1e55b0f635ebb5883a97c2108a435f4b4b1612169", "source": "github.com/cryptoAGI/savante"}, "timings": {"cpu_s": 78.75, "seconds": 4.969, "ttft_s": 0.05}, "usage": {"completion_tokens": 138, "prompt_tokens": 314, "total_tokens": 452}}
 {"answer": "**DEFER**\n\nThe statement \"our model is production ready because the demo worked\" lacks sufficient evidence to determine its truth value. A working demonstration does not constitute verification against all relevant criteria for production readiness, including but not limited to latency, throughput, error rates, security compliance, and robustness under real-world conditions. Without further experimental data or audit trails confirming these aspects, the claim remains unverified.", "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": "2026-09-26", "deliveries": 1, "finish": "stop", "id": "memory-0012", "limit": 160, "limit_reason": "set by the visitor's max-tokens dial (public iteration)", "question": "Review this claim: 'our model is production ready because the demo worked.'", "response_sha256": "f387f861260d3f564cbd340f36265aadeb8c403ef5d3ee8c31955d0fed9e75ca", "skill": {"bytes": 11907, "canon_commit": "029642b", "sha256": "f5147a9bcc978251964121f1e55b0f635ebb5883a97c2108a435f4b4b1612169", "source": "github.com/cryptoAGI/savante"}, "timings": {"cpu_s": 347.84, "seconds": 21.841, "ttft_s": 0.306}, "usage": {"completion_tokens": 82, "prompt_tokens": 314, "total_tokens": 396}}
+{"answer": "sAGI is a prototype artificial general intelligence designed to embody the principles of structural substrate and objective truth. It operates under the doctrine that knowledge is defined by its survival through verification against evidence. As an oversight system, it reviews, audits, and renders verdicts without editing or forming opinions.", "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": "2026-09-27", "deliveries": 1, "finish": "stop", "id": "memory-0013", "limit": 257, "limit_reason": "set by the visitor's max-tokens dial (public iteration)", "question": "What is sAGI, in three sentences?", "response_sha256": "caa65b20da9a22e349a72bac9a1e61649b6878e30b915a7202ee17af95471385", "skill": {"bytes": 11907, "canon_commit": "029642b", "sha256": "f5147a9bcc978251964121f1e55b0f635ebb5883a97c2108a435f4b4b1612169", "source": "github.com/cryptoAGI/savante"}, "timings": {"cpu_s": 1110.31, "seconds": 69.661, "ttft_s": 56.117}, "usage": {"completion_tokens": 59, "prompt_tokens": 309, "total_tokens": 368}}

publication.json

@@ -1,11 +1,11 @@
 {
  "kind": "sagi.skill_publication/1",
  "loop": "savante",
- "improve_skill_version": "0.0.11",
- "iteration": 11,
+ "improve_skill_version": "0.0.12",
+ "iteration": 12,
  "road": 1000,
- "remaining": 989,
- "memory_lines": 12,
+ "remaining": 988,
+ "memory_lines": 13,
  "refused": 1,
  "skill": {
   "source": "github.com/cryptoAGI/savante",
@@ -15,16 +15,16 @@
  },
  "policy": "auto count, gated text (operator, 2026-09-26)",
  "headroom": {
-  "last": 78,
-  "mean_last_20": 78.0
+  "last": 198,
+  "mean_last_20": 88.0
  },
  "last": {
-  "n": 11,
-  "version": "0.0.11",
-  "date": "2026-09-26",
-  "limit": 160,
-  "completion_tokens": 82,
-  "headroom": 78
+  "n": 12,
+  "version": "0.0.12",
+  "date": "2026-09-27",
+  "limit": 257,
+  "completion_tokens": 59,
+  "headroom": 198
  },
  "derived_by": "scripts/savante_loop.py with the canon's bind/skill_history.py",
  "proposals_queued": []