WEBVTT NOTE The Rundown — nextbig.dev daily audio edition, 2026-07-30 1 00:00:02.600 --> 00:00:11.040 The cheapest agent still needs a ceiling. It's Thursday, July thirtieth, and OpenAI cut Luna's price by eighty percent on the day a coding agent's bill was reported at one-point-eight million dollars. 2 00:00:11.220 --> 00:00:22.500 GPT five-point-six Luna now costs twenty cents per million input tokens and one dollar twenty per million output. Terra falls twenty percent to two dollars and twelve dollars. Sol keeps its price, with a new Fast mode offering up to two-and-a-half times the speed for twice the rate. 3 00:00:22.490 --> 00:00:35.530 OpenAI says Sol helped rewrite production kernels, run hundreds of experiments and monitor training. The kernel work reduced end-to-end serving cost by twenty percent, and the experiments improved token generation by more than fifteen percent. One model helped make the next call cheaper. 4 00:00:35.530 --> 00:00:47.600 OpenAI puts Luna near year-old frontier performance at roughly six cents per task-dollar and almost nine times the speed. Those economics invite more loops, retries and background jobs. An eighty-percent saving disappears when an agent expands its work fivefold. 5 00:00:47.780 --> 00:01:03.600 An internal Amazon coding task reportedly reached one-point-eight million dollars, eight hundred sixty percent over budget. The fix is a runtime circuit breaker: cap spend, elapsed time, tool calls and retries, then require higher authority to continue. Gemini Robotics two makes the same control physical as one model takes command of an entire humanoid body. 6 00:01:03.780 --> 00:01:18.200 Nscale is buying Anyscale to own the Ray software layer that schedules work across compute. Okta is buying Permiso for about two hundred million dollars to monitor machine identities after authentication. The scheduler and identity layer are consolidating around the same problem: cheap intelligence taking expensive action. 7 00:01:18.390 --> 00:01:31.780 To the tape. We sharpen the OpenAI watch as serving gains become lower prices and test whether volume fills the margin. We open an Amazon watch because AWS owns the billing, identity and orchestration needed to turn its internal overrun into a hard budget control. The tape is the desk's scorecard, not advice. 8 00:01:31.950 --> 00:01:44.350 Our call: by October thirty-first, a major agent platform enables a hard per-task cost ceiling by default, stopping execution unless a higher-authority user approves more budget. Dashboards and alerts without a runtime stop prove us wrong.