Open training project Marin kicks off 535B/A23B MoE run, grows from 1 to 10 FTEs in a year
wandb · x · 2026-09-04
dlwh of Stanford's open training project Marin reports the 535B/A23B MoE hero run is going 'almost boringly well.' A year after joining Open Athena, the team has grown from a single FTE to 10. Percy Liang amplified the write-up.
Related event: Stanford's Marin launches fully open training of 535B-parameter MoE model(6 posts)→
More from Infra
- Hermes Desktop adds one-click local model setup with automatic hardware detection — NousResearch · 2026-09-04
- Nutanix CEO: Firms Will Ditch the 'Token Tax' by Running Open-Weight Models on Neoclouds — TiernanRayTech · 2026-09-04
- Sandbox readiness is the new bottleneck in agentic apps; git as state primitive — w_hgm · 2026-09-04
- NVIDIA's open-source PAIR beta routes local AI inference across PCs on your network — Codeblix_Ltd · 2026-09-04
- Computer Imports Hit ~$700B Annualized, Up 126% in a Year on AI Buildout — rjurney · 2026-09-04
- Grok outage traced to Memphis compute center failure, xAI says all systems restored — SpaceXAI · 2026-09-04