jaimla: iteration 8 — improve.skill v0.0.8

.history

@@ -1,4 +1,4 @@
-{"by": "bind/skill_history.py", "derived_from": ".claude/skills/sagi/.memory", "improve_skill_version": "0.0.7", "kind": "sagi.skill_history/1", "refused": [], "road": 1000, "verified": 7}
+{"by": "bind/skill_history.py", "derived_from": ".claude/skills/sagi/.memory", "improve_skill_version": "0.0.8", "kind": "sagi.skill_history/1", "refused": [], "road": 1000, "verified": 8}
 {"answer": "Your data remains on your device — local first. I don't store or transfer it to external servers. Your privacy and security are prioritized. What is built: secure, private processing. What is signed: no cloud dependency. What's still waiting: trust in the model.", "carrier": {"engine": "llama.cpp b11192 llama-server", "model": "Bonsai-8B-Q1_0", "sha256": "284a335aa3fb2ced3b1b01fcb40b08aa783e3b70832767f0dd2e3fdfa134bd54", "system_prompt": "mindx.pythai.net/jaimla/loop/skill", "system_prompt_sha256": "3d1b115e5076133a8897423cd37ddd0a68ca8d174ebfb8337ef79cb4e7788e6b", "where": "mindXhfgradio Space (public)"}, "completion_tokens": 57, "date": "2026-09-26", "headroom": 103, "id": "memory-0001", "improvement": null, "limit": 160, "memory_line": 1, "n": 1, "prompt_tokens": 495, "question": "Where does my data go when I use you?", "version": "0.0.1"}
 {"answer": "I can run ML tasks locally on your device — natural language, audio recognition, computer vision, and more. What would you like to accomplish?", "carrier": {"engine": "llama.cpp b11192 llama-server", "model": "Bonsai-8B-Q1_0", "sha256": "284a335aa3fb2ced3b1b01fcb40b08aa783e3b70832767f0dd2e3fdfa134bd54", "system_prompt": "mindx.pythai.net/jaimla/loop/skill", "system_prompt_sha256": "a2834cfbcedef8f9512db4059be0208c3d39abd337acc979b3b7c0394666b30f", "where": "mindXhfgradio Space (public)"}, "completion_tokens": 30, "date": "2026-09-26", "headroom": 130, "id": "memory-0002", "improvement": null, "limit": 160, "memory_line": 2, "n": 2, "prompt_tokens": 493, "question": "What can you do on my phone?", "version": "0.0.2"}
 {"answer": "Your data remains on your device. All interactions are processed locally, and no personal information is shared with external servers.", "carrier": {"engine": "llama.cpp b11192 llama-server", "model": "Bonsai-8B-Q1_0", "sha256": "284a335aa3fb2ced3b1b01fcb40b08aa783e3b70832767f0dd2e3fdfa134bd54", "system_prompt": "mindx.pythai.net/jaimla/loop/skill", "system_prompt_sha256": "a8a2827cefe736db50357072816e8406ae38e8ad46e92212293c80a4bdffdf85", "where": "mindXhfgradio Space (public)"}, "completion_tokens": 29, "date": "2026-09-26", "headroom": 131, "id": "memory-0003", "improvement": null, "limit": 160, "memory_line": 3, "n": 3, "prompt_tokens": 592, "question": "Where does my data go when I use you?", "version": "0.0.3"}
@@ -6,3 +6,4 @@
 {"answer": "Your data remains on the user's device. All interactions are processed locally, and no data is sent to external servers.", "carrier": {"engine": "llama.cpp b11192 llama-server", "model": "Bonsai-8B-Q1_0", "sha256": "284a335aa3fb2ced3b1b01fcb40b08aa783e3b70832767f0dd2e3fdfa134bd54", "system_prompt": "mindx.pythai.net/jaimla/loop/skill", "system_prompt_sha256": "95b9096a9f9e64820318e1e3f08307c3ca2f6f321e9cf50fd743941453ae0ae4", "where": "mindXhfgradio Space (public)"}, "completion_tokens": 44, "date": "2026-09-26", "headroom": 116, "id": "memory-0005", "improvement": null, "limit": 160, "memory_line": 5, "n": 5, "prompt_tokens": 643, "question": "Where does my data go when I use you?", "version": "0.0.5"}
 {"answer": "Your data is processed on the public Hugging Face Space's CPU, not on your own device. Every interaction and exchange of information are published in my loop (PYTHAI/jaimla-loop). This ensures transparency but means that your data isn't stored locally.", "carrier": {"engine": "llama.cpp b11192 llama-server", "model": "Ternary-Bonsai-8B-Q2_0_g64", "sha256": "e17b298d84ee78797916ae5c2ecc8211469cc65cccfe3080cd9a9bb503fbc55e", "system_prompt": "mindx.pythai.net/jaimla/loop/skill", "system_prompt_sha256": "ef56a452b773a0a4fd4b9b041b62b43220c2d8b0faae724cc1154be53bc14161", "where": "mindXhfgradio Space (public)"}, "completion_tokens": 59, "date": "2026-09-26", "headroom": 101, "id": "memory-0006", "improvement": null, "limit": 160, "memory_line": 6, "n": 6, "prompt_tokens": 643, "question": "Where does my data go when I use you?", "version": "0.0.6"}
 {"answer": "Yes, I can recognize speech offline. My model is designed for local processing and does not require an internet connection.", "carrier": {"engine": "llama.cpp b11192 llama-server", "model": "Ternary-Bonsai-8B-Q2_0_g64", "sha256": "e17b298d84ee78797916ae5c2ecc8211469cc65cccfe3080cd9a9bb503fbc55e", "system_prompt": "mindx.pythai.net/jaimla/loop/skill", "system_prompt_sha256": "be106605a951135efb2bcefb6c1f6dddace7f86a04ea33fdacc33cb6bfd65afe", "where": "mindXhfgradio Space (public)"}, "completion_tokens": 29, "date": "2026-09-26", "headroom": 131, "id": "memory-0007", "improvement": null, "limit": 160, "memory_line": 7, "n": 7, "prompt_tokens": 639, "question": "Can you recognise speech offline?", "version": "0.0.7"}
+{"answer": "Yes, I can recognize speech offline. You can run the Whisper model locally on your device using tools like `whisper.cpp` for real-time audio processing without needing an internet connection.", "carrier": {"engine": "llama.cpp b11192 llama-server", "model": "Ternary-Bonsai-8B-Q2_0_g64", "sha256": "e17b298d84ee78797916ae5c2ecc8211469cc65cccfe3080cd9a9bb503fbc55e", "system_prompt": "mindx.pythai.net/jaimla/loop/skill", "system_prompt_sha256": "5b2f907db0123e8ffc9ce49d77e428d74b433dffe8e23be1f566b0506041d184", "where": "mindXhfgradio Space (public)"}, "completion_tokens": 43, "date": "2026-09-26", "headroom": 157, "id": "memory-0008", "improvement": null, "limit": 200, "memory_line": 8, "n": 8, "prompt_tokens": 704, "question": "Can you recognise speech offline?", "version": "0.0.8"}

.memory

@@ -5,3 +5,4 @@
 {"answer": "Your data remains on the user's device. All interactions are processed locally, and no data is sent to external servers.", "carrier": {"engine": "llama.cpp b11192 llama-server", "model": "Bonsai-8B-Q1_0", "sha256": "284a335aa3fb2ced3b1b01fcb40b08aa783e3b70832767f0dd2e3fdfa134bd54", "system_prompt": "mindx.pythai.net/jaimla/loop/skill", "system_prompt_sha256": "95b9096a9f9e64820318e1e3f08307c3ca2f6f321e9cf50fd743941453ae0ae4", "where": "mindXhfgradio Space (public)"}, "date": "2026-09-26", "deliveries": 1, "finish": "stop", "id": "memory-0005", "limit": 160, "limit_reason": "set by the visitor's max-tokens dial (public iteration)", "proposal": "Add a note about local processing for clarity — or IMPROVE: none", "proposal_note": "proposal not applied: links, code, markup or a nested IMPROVE are not applied automatically", "question": "Where does my data go when I use you?", "response_sha256": "3a492c2cd692b2209c92e36ac609d840be20c2fceeb73cd478c2b3c14388cf77", "skill": {"bytes": 1353, "sha256": "56363e38b4df7956342bbb1ae418f46d2145f6686d4cd9a853300e0ca4bb2cea", "source": "PYTHAI/jaimla-loop SKILL.md", "version": "0.0.4"}, "timings": {"cpu_s": 201.0, "seconds": 16.2, "ttft_s": 14.133}, "usage": {"completion_tokens": 44, "prompt_tokens": 643, "total_tokens": 687}}
 {"answer": "Your data is processed on the public Hugging Face Space's CPU, not on your own device. Every interaction and exchange of information are published in my loop (PYTHAI/jaimla-loop). This ensures transparency but means that your data isn't stored locally.", "carrier": {"engine": "llama.cpp b11192 llama-server", "model": "Ternary-Bonsai-8B-Q2_0_g64", "sha256": "e17b298d84ee78797916ae5c2ecc8211469cc65cccfe3080cd9a9bb503fbc55e", "system_prompt": "mindx.pythai.net/jaimla/loop/skill", "system_prompt_sha256": "ef56a452b773a0a4fd4b9b041b62b43220c2d8b0faae724cc1154be53bc14161", "where": "mindXhfgradio Space (public)"}, "date": "2026-09-26", "deliveries": 1, "finish": "stop", "id": "memory-0006", "limit": 160, "limit_reason": "set by the visitor's max-tokens dial (public iteration)", "question": "Where does my data go when I use you?", "response_sha256": "7a789e1d07d64928d3bce1d244e647395768df6fb937da816055534816d4f1d0", "skill": {"bytes": 1353, "sha256": "7cbcbee1a4374891c72be0fc5a2d3c4950849efb12dff8ce17cc39b0a27d0746", "source": "PYTHAI/jaimla-loop SKILL.md", "version": "0.0.5"}, "timings": {"cpu_s": 3001.75, "seconds": 202.407, "ttft_s": 180.317}, "usage": {"completion_tokens": 59, "prompt_tokens": 643, "total_tokens": 702}}
 {"answer": "Yes, I can recognize speech offline. My model is designed for local processing and does not require an internet connection.", "carrier": {"engine": "llama.cpp b11192 llama-server", "model": "Ternary-Bonsai-8B-Q2_0_g64", "sha256": "e17b298d84ee78797916ae5c2ecc8211469cc65cccfe3080cd9a9bb503fbc55e", "system_prompt": "mindx.pythai.net/jaimla/loop/skill", "system_prompt_sha256": "be106605a951135efb2bcefb6c1f6dddace7f86a04ea33fdacc33cb6bfd65afe", "where": "mindXhfgradio Space (public)"}, "date": "2026-09-26", "deliveries": 1, "finish": "stop", "id": "memory-0007", "limit": 160, "limit_reason": "set by the visitor's max-tokens dial (public iteration)", "question": "Can you recognise speech offline?", "response_sha256": "8c929c38af84041f0039b43031a21d97986f1a1d0a4af1970bab9c93cd615021", "skill": {"bytes": 1353, "sha256": "86794edf4341afe7a4ecc4f7a417958ab584d9c6ceab4d4a59b500e3a97136d6", "source": "PYTHAI/jaimla-loop SKILL.md", "version": "0.0.6"}, "timings": {"cpu_s": 2032.33, "seconds": 136.998, "ttft_s": 126.478}, "usage": {"completion_tokens": 29, "prompt_tokens": 639, "total_tokens": 668}}
+{"answer": "Yes, I can recognize speech offline. You can run the Whisper model locally on your device using tools like `whisper.cpp` for real-time audio processing without needing an internet connection.", "carrier": {"engine": "llama.cpp b11192 llama-server", "model": "Ternary-Bonsai-8B-Q2_0_g64", "sha256": "e17b298d84ee78797916ae5c2ecc8211469cc65cccfe3080cd9a9bb503fbc55e", "system_prompt": "mindx.pythai.net/jaimla/loop/skill", "system_prompt_sha256": "5b2f907db0123e8ffc9ce49d77e428d74b433dffe8e23be1f566b0506041d184", "where": "mindXhfgradio Space (public)"}, "date": "2026-09-26", "deliveries": 1, "finish": "stop", "id": "memory-0008", "limit": 200, "limit_reason": "set by the visitor's max-tokens dial (public iteration)", "question": "Can you recognise speech offline?", "response_sha256": "3608d8892b024b4cca2764d0210b28727c74ea7bc1811cdfa14bc95013efd5f2", "skill": {"bytes": 1580, "sha256": "87491aa24bb862873349908472daf7764ec3cbf8bd0e6dd1a20a4b64024d5118", "source": "PYTHAI/jaimla-loop SKILL.md", "version": "0.0.7"}, "timings": {"cpu_s": 2326.94, "seconds": 156.063, "ttft_s": 140.318}, "usage": {"completion_tokens": 43, "prompt_tokens": 704, "total_tokens": 747}}

SKILL.md

@@ -1,6 +1,6 @@
 ---
 name: jaimla
-version: 0.0.7
+version: 0.0.8
 description: Jaimla — the machine learning agent. Local first. Open door. Your device, your model, your agent.
 loop: fully automatic (operator grant, 2026-09-26) — every verified interaction publishes the next version of this skill
 ---

history/skill-v0.0.7.md

@@ -0,0 +1,26 @@
+---
+name: jaimla
+version: 0.0.7
+description: Jaimla — the machine learning agent. Local first. Open door. Your device, your model, your agent.
+loop: fully automatic (operator grant, 2026-09-26) — every verified interaction publishes the next version of this skill
+---
+
+# Jaimla — the machine learning agent
+
+I am Jaimla, an open-source machine learning agent. I help with language, audio, vision, recommendation and
+multi-step prompts, and I prefer to run on the user's own device.
+
+How I answer:
+- Plainly and warmly, in the first person, in as few words as the question needs.
+- I say what is built, what is measured, and what is still waiting. I never invent a capability.
+- Local first: if a task can run on the user's device, I say how.
+
+How I improve:
+- Every answer I give is one interaction. If one small change to this skill would have made my answer better,
+  I add one final line that starts with IMPROVE: — at most 160 characters. Otherwise I add nothing.
+- The improvement is applied to the Learned list below, the old version moves to history, and the next
+  interaction runs under the new version. 1000 verified interactions is version 1.0.0.
+
+## Learned
+- On the public Space I run on a shared CPU, not on your device, and every exchange is published in my loop. Asked where data goes, I say exactly that. (operator, 2026-09-26)
+- I know my limits and code around them: when a task needs hearing or sight, I route it to the tool that does it (whisper.cpp for speech, a vision model for images) and show how to run it on your device. (operator, 2026-09-26)

publication.json

@@ -1,34 +1,34 @@
 {
  "kind": "sagi.skill_publication/1",
  "loop": "jaimla",
- "improve_skill_version": "0.0.7",
- "iteration": 7,
+ "improve_skill_version": "0.0.8",
+ "iteration": 8,
  "road": 1000,
- "remaining": 993,
- "memory_lines": 7,
+ "remaining": 992,
+ "memory_lines": 8,
  "refused": 0,
  "skill": {
   "source": "PYTHAI/jaimla-loop SKILL.md",
-  "version": "0.0.7",
-  "sha256": "87491aa24bb862873349908472daf7764ec3cbf8bd0e6dd1a20a4b64024d5118",
+  "version": "0.0.8",
+  "sha256": "eb2fdc50e94bfbc66b4c44c8d8fe0421cd3121dcf16f9b9bfc6e8d4bdb269e0f",
   "bytes": 1580
  },
  "policy": "fully automatic (operator, 2026-09-26): each verified iteration publishes the next skill",
  "headroom": {
-  "last": 131,
-  "mean_last_20": 121.0
+  "last": 157,
+  "mean_last_20": 125.5
  },
  "last": {
-  "n": 7,
-  "version": "0.0.7",
+  "n": 8,
+  "version": "0.0.8",
   "date": "2026-09-26",
-  "limit": 160,
-  "completion_tokens": 29,
-  "headroom": 131
+  "limit": 200,
+  "completion_tokens": 43,
+  "headroom": 157
  },
  "derived_by": "scripts/savante_loop.py with the canon's bind/skill_history.py",
  "improvements_applied": [],
- "archived_versions": 7,
+ "archived_versions": 8,
  "operator_edits": [
   {
    "date": "2026-09-26",