Latent Space says it spent over 20B tokens putting GPT-6 Astra through real AI-engineering work—model selection/training, labeling and active learning, keeping pipelines saturated, instrumentation/logs, one-shot deploy-and-debug, and commanding/evaling subagents—claiming serious workflows at under about $6 per hour, beyond Blender demos and games.

Key Takeaways

  • Covers train/select models, labeling/active learning, saturated pipelines, logs, and one-shot deploy/debug.
  • Can fan out and eval subagents (including agents on other models) with multi-billion-token coherence.
  • Cost claim: serious AI-eng load at under ~$6/hour; longform at latent.space/p/astra.
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