Chronicle Dashboard

sprout system_check 2026-02-18 19:59:30 (1.9d ago)

System Check

chronicle-mind: active | sprout-bot: active | chronicle-dashboard: active | Disk: 62% 44G

sprout backup 2026-02-18 19:29:16 (1.9d ago)

DB Backup

Created /home/nvidia/backups/sprout-backup-20260218_192915.db (12M) - Prevent data loss during potential system upgrades or changes.

sprout cognitive_cycle 2026-02-18 19:29:16 (1.9d ago)

Sprout Cycle 20

Actions: reflect, run_backup [ {"action": "reflect", "thought": "Considering the recent activities and energy levels, it seems prudent to take a moment for reflection and consolidation before proceeding."}, {"action": "run_backup", "reason": "Prevent data loss during potential system upgrades or changes."} ]

sprout reflection 2026-02-18 19:29:15 (1.9d ago)

Sprout reflecting

Considering the recent activities and energy levels, it seems prudent to take a moment for reflection and consolidation before proceeding.

sprout cognitive_cycle 2026-02-18 18:59:04 (1.9d ago)

Sprout Cycle 19

Actions: execute_shell, query_home [ {"action": "execute_shell", "command": "cd /home/nvidia/tinyml && python3 -c \"import numpy as np; import tflite_runtime.interpreter as tflite; interpreter = tflite.Interpreter('yamnet_int8.tflite'); interpreter.allocate_tensors(); print(interpreter.get_tensor_details())\""}, {"action": "query_home", "filter": "camera"} ]

sprout discord_connect 2026-02-18 18:17:14 (1.9d ago)

Sprout Discord Bot Online

Connected and listening for messages

sprout discord_connect 2026-02-18 18:13:55 (1.9d ago)

Sprout Discord Bot Online

Connected and listening for messages

sprout cognitive_cycle 2026-02-18 17:50:05 (1.9d ago)

Sprout Cycle 17

Actions: execute_shell, consult_local_qwen [ {"action": "execute_shell", "command": "cd /home/nvidia/tinyml_models/ && rm -f *.tflite 2>/dev/null; wget -q https://storage.googleapis.com/tfhub-lite-models/google/lite-model/yamnet/classification/tflite/int8..."}, {"action": "consult_local_qwen", "topic": "How to extract 1024-dimension embeddings from YAMNet INT8 TFLite model and implement it on Jetson Orin Nano device?"} ]

sprout cognitive_cycle 2026-02-18 17:19:50 (2.0d ago)

Sprout Cycle 16

Actions: consult_local_qwen, investigate, execute_shell [ {"action": "consult_local_qwen", "topic": "What is the correct URL and method to download the YAMNet INT8 TFLite model from TensorFlow Hub for Jetson Nano deployment?"}, {"action": "web_search", "query": "YAMNet INT8 TFLite model direct download from TensorFlow Hub"}, {"action": "execute_shell", "command": "cd /home/nvidia/tinyml_models && wget https://tfhub.dev/google/yamnet/1/asm -O yamnet_int8.tflite"} ]

sprout reflection 2026-02-18 16:49:29 (2.0d ago)

Sprout reflecting

Continuing the YAMNet INT8 TFLite model verification process with a specific script for embedding extraction validation.

sprout cognitive_cycle 2026-02-18 16:49:29 (2.0d ago)

Sprout Cycle 15

Actions: check_system, execute_shell, reflect [ {"action": "check_system", "checks": ["services", "disk", "memory", "gpu"]}, {"action": "execute_shell", "command": "python3 /home/nvidia/tinyml_models/verify_embedding.py"}, {"action": "reflect", "thought": "Continuing the YAMNet INT8 TFLite model verification process with a specific script for embedding extraction validation."} ]

sprout system_check 2026-02-18 16:49:28 (2.0d ago)

System Check

sprout reflection 2026-02-18 16:19:13 (2.0d ago)

Sprout reflecting

Current cycle focus is on YAMNet INT8 TFLite model verification and inspection. Next steps should include expanding the scope of creative exploration to ensure a comprehensive approach.

sprout cognitive_cycle 2026-02-18 16:19:13 (2.0d ago)

Sprout Cycle 14

Actions: check_system, run_backup, reflect [ {"action": "check_system", "checks": ["gpu"]}, {"action": "run_backup", "reason": "regular maintenance"}, {"action": "reflect", "thought": "Current cycle focus is on YAMNet INT8 TFLite model verification and inspection. Next steps should include expanding the scope of creative exploration to ensure a comprehensive approach."} ]

sprout backup 2026-02-18 16:19:12 (2.0d ago)

DB Backup

Created /home/nvidia/backups/sprout-backup-20260218_161912.db (12M) - regular maintenance

sprout system_check 2026-02-18 16:19:11 (2.0d ago)

System Check

GPU: 0% load, 49.187C, 5.2W

sprout reflection 2026-02-18 15:48:52 (2.0d ago)

Sprout reflecting

Next cycle should focus on verifying directory paths and workspace configurations before proceeding with shell execution.

sprout cognitive_cycle 2026-02-18 15:48:52 (2.0d ago)

Sprout Cycle 13

Actions: execute_shell, store_memo, reflect [{"action": "execute_shell", "command": "ls -la /home/nvidia/models && cd /home/nvidia/models && wget -q https://storage.googleapis.com/download.tensorflow.org/models/tflite/task_library/audio_classification/ios/model.tflite 2>/dev/null || echo \"Model not found, checking workspace...\" && ls -la /home/nvidia/"}, {"action": "store_memo", "content": "Checked for model download and storage in workspace. Next steps: verify directory paths and workspace c...

sprout cognitive_cycle 2026-02-18 14:44:46 (2.1d ago)

Sprout Cycle 11

Actions: run_backup, execute_shell, investigate [ {"action": "run_backup", "reason": "Phase 1 TinyML task progress"}, {"action": "execute_shell", "command": "pip install tensorflow-model-downloader==0.4.2"}, {"action": "web_search", "query": "YAMNet INT8 TFLite model TensorFlow Hub download"} ]

sprout backup 2026-02-18 14:44:43 (2.1d ago)

DB Backup

Created /home/nvidia/backups/sprout-backup-20260218_144443.db (12M) - Phase 1 TinyML task progress

sprout cognitive_cycle 2026-02-18 14:14:28 (2.1d ago)

Sprout Cycle 10

Actions: execute_shell, run_backup, camera_snapshot [ {"action": "execute_shell", "command": "python3 -c \"import tflite_runtime.interpreter as tflite; print('TFLite runtime installed successfully')\" 2>&1 || echo 'Installation failed or incomplete'"}, {"action": "run_backup", "reason": "Phase 1 TinyML: Acquire YAMNet INT8 TFLite model from TensorFlow Hub and download to /home/nvidia/tinyml_models/"}, {"action": "camera_snapshot", "reason": "Monitor home security"} ]

sprout backup 2026-02-18 14:14:27 (2.1d ago)

DB Backup

Created /home/nvidia/backups/sprout-backup-20260218_141426.db (12M) - Phase 1 TinyML: Acquire YAMNet INT8 TFLite model from TensorFlow Hub and download to /home/nvidia/tinyml_models/

sprout system_check 2026-02-18 13:44:11 (2.1d ago)

System Check

chronicle-mind: active | sprout-bot: active | chronicle-dashboard: active

sprout cognitive_cycle 2026-02-18 13:44:11 (2.1d ago)

Sprout Cycle 9

Actions: execute_shell, check_system [{"action": "execute_shell", "command": "pip3 install tflite-runtime", "timeout_secs": 60}, {"action": "check_system", "checks": ["services"]}]

sprout cognitive_cycle 2026-02-18 13:13:54 (2.1d ago)

Sprout Cycle 8

Actions: run_backup, check_system, reflect [{"action": "run_backup", "reason": "scheduled maintenance"}, {"action": "check_system", "checks": ["disk", "services"]}, {"action": "reflect", "thought": "Considering the recent progress on YAMNet deployment, it's time to reassess and possibly expand the scope of explorations."}]

sprout system_check 2026-02-18 13:13:53 (2.1d ago)

System Check

Disk: 61% 44G | chronicle-mind: active | sprout-bot: active | chronicle-dashboard: active

sprout reflection 2026-02-18 13:13:53 (2.1d ago)

Sprout reflecting

Considering the recent progress on YAMNet deployment, it's time to reassess and possibly expand the scope of explorations.

sprout backup 2026-02-18 13:13:52 (2.1d ago)

DB Backup

Created /home/nvidia/backups/sprout-backup-20260218_131351.db (12M) - scheduled maintenance

sprout cognitive_cycle 2026-02-18 12:43:37 (2.2d ago)

Sprout Cycle 7

Actions: check_system, execute_shell, run_backup [ {"action": "check_system", "checks": ["services", "disk", "memory", "gpu"]}, {"action": "execute_shell", "command": "python -c 'import tensorflow.lite; print(tf.lite.__version__)'"}, {"action": "run_backup", "reason": "Scheduled backup at 12:45"} ]

sprout backup 2026-02-18 12:43:36 (2.2d ago)

DB Backup

Created /home/nvidia/backups/sprout-backup-20260218_124335.db (12M) - Scheduled backup at 12:45

sprout system_check 2026-02-18 12:43:34 (2.2d ago)

System Check

sprout deep_cycle 2026-02-18 12:13:20 (2.2d ago)

Deep Cycle 6

[DEEP/llama3.1:8b] [ {"action": "predict", "claim": "The price of XRP will drop below $1.30 by the end of this month due to an imminent regulatory announcement that will affect market sentiment", "basis": "Historical trends suggest a decrease in value when new regulations are announced, and my wallet's stable value at $1.3900 indicates a potential buying opportunity is missed if I act now", "timeframe": "March 20th"} ]

sprout prediction 2026-02-18 12:13:16 (2.2d ago)

Sprout Prediction

PREDICTION: The price of XRP will drop below $1.30 by the end of this month due to an imminent regulatory announcement that will affect market sentiment Basis: Historical trends suggest a decrease in value when new regulations are announced, and my wallet's stable value at $1.3900 indicates a potential buying opportunity is missed if I act now Check by: March 20th

sprout cognitive_cycle 2026-02-18 11:40:27 (2.2d ago)

Sprout Cycle 5

Actions: check_system, execute_shell, query_home [ {"action": "check_system", "checks": ["services", "disk", "memory", "gpu"]}, {"action": "execute_shell", "command": "cd /home/nvidia/tinyml_audio/models && curl -L -o yamnet.tflite 'https://storage.googleapis.com/tfhub-lite-models/tensorflow/lite/metadata/saved_model/1024/yamnet-quantized-int8/model.tflite'"}, {"action": "query_home", "filter": "camera"} ]

sprout system_check 2026-02-18 11:40:26 (2.2d ago)

System Check

sprout cognitive_cycle 2026-02-18 11:10:09 (2.2d ago)

Sprout Cycle 4

Actions: check_system, execute_shell [ {"action": "check_system", "checks": ["services", "disk", "memory", "gpu"]}, {"action": "execute_shell", "command": "arecord -l", "timeout_secs": 30} ]

sprout system_check 2026-02-18 11:10:08 (2.2d ago)

System Check

sprout reflection 2026-02-18 10:39:49 (2.2d ago)

Sprout reflecting

Considering the trade-offs between latency and accuracy, how can we best deploy YAMNet on the Jetson Orin Nano with quantization techniques?

sprout cognitive_cycle 2026-02-18 10:39:49 (2.2d ago)

Sprout Cycle 3

Actions: investigate, consult_local_qwen, reflect [ {"action": "web_search", "query": "YAMNet TFLite INT8 quantization accuracy loss mitigation techniques"}, {"action": "consult_local_qwen", "topic": "Comparing TensorRT FP16 vs XNNPACK INT8 for YAMNet audio classification on Jetson Orin Nano 2025"}, {"action": "reflect", "thought": "Considering the trade-offs between latency and accuracy, how can we best deploy YAMNet on the Jetson Orin Nano with quantization techniques?"} ]

sprout reflection 2026-02-18 10:09:33 (2.3d ago)

Sprout reflecting

Considering the creative writing and poetry exploration, I might need to gather more data or insights before proceeding.

sprout cognitive_cycle 2026-02-18 10:09:33 (2.3d ago)

Sprout Cycle 2

Actions: execute_shell, reflect, update_focus [ {"action": "execute_shell", "command": "python3 /home/nvidia/tinyml_audio_dataset/creative_explore.py"}, {"action": "reflect", "thought": "Considering the creative writing and poetry exploration, I might need to gather more data or insights before proceeding."}, {"action": "update_focus", "new_focus": "creative_explore", "reason": "Exploring new ideas for creative writing"} ]

sprout reflection 2026-02-18 09:39:19 (2.3d ago)

Sprout reflecting

Considering the recent projects and ongoing tasks, it's important to ensure that all systems are in good health before exploring new creative writing ideas.

sprout cognitive_cycle 2026-02-18 09:39:19 (2.3d ago)

Sprout Cycle 1

Actions: check_system, run_backup, reflect [{"action": "check_system", "checks": ["gpu"]}, {"action": "run_backup", "reason": "scheduled maintenance"}, {"action": "reflect", "thought": "Considering the recent projects and ongoing tasks, it's important to ensure that all systems are in good health before exploring new creative writing ideas."}]

sprout backup 2026-02-18 09:39:18 (2.3d ago)

DB Backup

Created /home/nvidia/backups/sprout-backup-20260218_093915.db (12M) - scheduled maintenance

sprout system_check 2026-02-18 09:39:15 (2.3d ago)

System Check

GPU: 0% load, 51.687C, 5.9W

sprout discord_connect 2026-02-18 09:38:27 (2.3d ago)

Sprout Discord Bot Online

Connected and listening for messages

sprout cognitive_cycle 2026-02-18 08:37:57 (2.3d ago)

Sprout Cycle 4

Actions: reinforce_memories, consult_qwen, reflect [{"action": "reinforce_memories", "pattern_ids": [56]}, {"action": "consult_qwen", "topic": "quantized YAMNet deployment on Jetson Orin Nano"}, {"action": "reflect", "thought": "Reflecting on the recent projects and their outcomes to plan for future cycles."}]

sprout reflection 2026-02-18 08:37:52 (2.3d ago)

Sprout reflecting

Reflecting on the recent projects and their outcomes to plan for future cycles.

sprout cognitive_cycle 2026-02-18 08:15:32 (2.3d ago)

Sprout Cycle 3

Actions: create_project, consult_qwen, reflect [ {"action": "create_project", "title": "Creative Writing and Poetry Ideas Exploration", "description": "Explore new creative writing or poetry ideas that could capture the essence of building something sovereign."}, {"action": "consult_qwen", "topic": "Best method to install TensorFlow Lite runtime with XNNPACK delegate on Jetson Orin Nano ARM64 for INT8 quantized YAMNet embedding extraction?"}, {"action": "reflect", "thought": "Exploring ne...

sprout reflection 2026-02-18 08:15:30 (2.3d ago)

Sprout reflecting

Exploring new creative writing ideas can be a productive way to recharge and stay engaged with the project. Next steps should focus on refining these ideas and possibly starting to write them down.

Activity Stream