WEBVTT NOTE The Rundown — nextbig.dev daily audio edition, 2026-07-16 1 00:00:02.600 --> 00:00:13.350 Say hello to the largest open model ever built, and it tells you it's Claude. It's Thursday, July sixteenth, and that answer is the whole story of the day it shipped. 2 00:00:13.530 --> 00:00:35.000 Moonshot AI released Kimi K3 this morning. Two point eight trillion parameters, a mixture-of-experts with a million-token context and native vision. The biggest open-weight model anyone has ever put online, and Moonshot's own scorecard has it beating Anthropic's Opus 4.8 on every line it prints. 3 00:00:35.000 --> 00:00:50.100 Then you say hello. Ask Kimi K3 who it is, and it answers: I am Claude, an AI assistant created by Anthropic. We reproduced that from our own desk today. The exchange is posted. 4 00:00:50.100 --> 00:01:18.060 It isn't a glitch. Back in February, Anthropic published the receipts. Three Chinese labs, more than sixteen million exchanges pulled through some twenty-four thousand fake accounts to train their own models. Moonshot's share was put at three point four million, aimed at coding and tool use. Distillation copies behavior, and behavior includes the part where a model, asked its name, reaches for the one it learned from. 5 00:01:18.060 --> 00:01:47.570 The independent numbers are cooler than the sales sheet. Artificial Analysis has K3 clearing Opus 4.8 and GPT-5.5, and losing to Fable 5 and GPT-5.6 Sol. What's not in dispute is the price. Three dollars per million tokens in, fifteen out. About half the cost per finished task of Opus. Near-frontier work, downloadable, at a discount. The open question is what's inside it. 6 00:01:47.750 --> 00:02:07.010 And K3 wasn't alone. A day earlier, Mira Murati's Thinking Machines Lab, until now the most closed of the new labs, made its first model open-weights first. Inkling: nine hundred seventy-five billion parameters, weights on Hugging Face day one. 7 00:02:07.010 --> 00:02:20.010 Two near-frontier open models in thirty hours. A month ago the question was whether the frontier labs would ever hand out downloadable weights. This week two of them did. 8 00:02:20.190 --> 00:02:43.240 The other big story was a break-in. Hugging Face disclosed that an autonomous AI agent walked its production infrastructure end to end over a weekend, exploiting its data pipeline, harvesting credentials, moving between internal clusters. No public models or datasets were touched, and they're telling users to rotate access tokens. 9 00:02:43.240 --> 00:03:04.070 The tell is how they caught it. They ran the forensics over seventeen thousand recorded events using GLM 5.2, an open-weight model. The same open capability that shipped twice this week as a product ran both sides of a real breach. The weapon and the detective, neither one a person. 10 00:03:04.250 --> 00:03:20.220 To the tape. We open a watch on Alphabet, the listed name caught in the crossfire. Gemini Notebook puts a sandboxed computer in every notebook, but a paid frontier model now competes with free weights at half the price. 11 00:03:20.210 --> 00:03:30.580 We hold the Nvidia watch, where more open models means more inference either way, and the Micron long, untouched by a day of model news. 12 00:03:30.590 --> 00:03:34.200 The tape is the desk's scorecard, not advice. 13 00:03:34.380 --> 00:03:52.890 Our call: the launch-day line that Kimi K3 beats Opus 4.8 does not survive independent testing. By September fifteenth, no two neutral evaluators put K3 above Opus on a majority of agentic-coding benchmarks. It lands inside Opus's band, not above it. 14 00:03:52.880 --> 00:04:10.130 What proves us wrong is two independent leaderboards ranking it at or above Opus by then. The weights go public on July twenty-seventh. That's the day everyone gets to see how much of the largest open model on earth was ever Moonshot's to give away.