vendor-research

2 items

Workshop Labs 2026-03-13-1

Open Weights isn't Open Training

Six compounding bugs across PyTorch → CUDA → accelerate → transformers → PEFT → compressed_tensors to LoRA-tune a 1T MoE — and even then, expert weights don't train. The article is a first-person case study for why "open weights" without training enablement is a weaker form of openness than the narrative suggests. But Workshop Labs sells training infra and benchmarks against Tinker (Thinking Machines) without disclosing any relationship — the pain they document is the demand they intend to capture.

Databricks 2026-03-13-2

Databricks Genie Code: Platform Incumbents Build Agent Moats

Databricks launches Genie Code as the "don't leave the platform" response to Claude Code and Codex eating data engineering workflows. The internal benchmark (77.1% vs 32.1%) is marketing, but the structural argument holds: native catalog/lineage/governance integration provides context that MCP-level API access can't replicate. The real story is the simultaneous Quotient AI acquisition — buying the eval→RL production loop from the team that built GitHub Copilot's quality infrastructure. The most differentiated feature (autonomous background agents) ships as "coming soon" vaporware.