Tags · #grok

xAI finishes training Grok V9-Medium, a 1.5T-param model tuned on Cursor developer data

Read this because The headline isn't the 1.5T parameter count — it's the corpus. Tuning a frontier model on Cursor's real developer workflows is a direct bid for the coding layer Claude and Codex dominate. Treat the benchmarks and timeline as vendor-sourced until weights or an API ship.

Musk says xAI's 1.5T-param Grok V9-Medium finished training (May 25), ~3x its production model and trained on Cursor dev data — mid-June release expected.

02 JUN 3 MIN READ Practitioner note xai grok musk coding-agents

xAI ships Grok Build CLI: 8 concurrent subagents, 70.8% SWE-Bench, $99 intro price

Read this because The 8-parallel-subagent design, not the benchmark score, is the structural choice worth watching. If it holds, the cost model flips from "tokens per task" to "tasks per wall-clock minute" — every Claude Code/Codex shop needs to re-benchmark on throughput, not accuracy.

May 14 public beta. SWE-Bench 70.8%, 256K context, $0.20/$1.50 per 1M tokens, $99 intro. 8 subagents on git branches turns the race four-way.

18 MAY 4 MIN READ Practitioner note xai coding-agents grok dev-tools