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← Session 3 — Project kickoff: RH blueprint, staged workflow + archive design

#73 assistant 2026-08-17 19:50:31.042 UTC · 535→224 tok open ⤢
thinking (236 chars)
The user asks if I got their Lambda message. Yes — I saved it to memory (reference_lambda_cloud.md) but my reply to that message was the memory-write confirmation that may not have been visible/clear. Confirm and summarize the protocol.
Yes, I got it — and it's already saved to my permanent memory so it survives every session. To confirm the arrangement: **Lambda AI cloud protocol (as you specified):** 1. I identify a workload that genuinely needs multi-GPU scale and **ask you first**. 2. You make the connection and provide the login info. 3. I take over via SSH and run the calculation scripts there. Nothing needs Lambda right now — the current stage is running fine locally. The first realistic candidates would be heavy Phase 1 SDP numerics or very large zero datasets, and I'll flag it to you if and when we get there. Current status: the parallel E-002 run (15 workers, 10,000 zeros) is computing in the background — I'll report the moment it completes.
raw content_json (database row)
[{"type":"thinking","thinking":"The user asks if I got their Lambda message. Yes — I saved it to memory (reference_lambda_cloud.md) but my reply to that message was the memory-write confirmation that may not have been visible/clear. Confirm and summarize the protocol.","signature":""},{"type":"text","text":"Yes, I got it — and it's already saved to my permanent memory so it survives every session. To confirm the arrangement:\n\n**Lambda AI cloud protocol (as you specified):**\n1. I identify a workload that genuinely needs multi-GPU scale and **ask you first**.\n2. You make the connection and provide the login info.\n3. I take over via SSH and run the calculation scripts there.\n\nNothing needs Lambda right now — the current stage is running fine locally. The first realistic candidates would be heavy Phase 1 SDP numerics or very large zero datasets, and I'll flag it to you if and when we get there.\n\nCurrent status: the parallel E-002 run (15 workers, 10,000 zeros) is computing in the background — I'll report the moment it completes."}]