AI Engineer World's Fair
The 'expensive' GPU came out cheaper — we rented both to find out
We rented an A100 and an H100 back to back: the pricier card cost less per training run because it finished in half the time. Plus honest notes from the AI Engineer World's Fair floor, and a Qwen 3.7 open-weights status check.
Qwen 3.7's open weights are overdue — by the math, not vibes
Qwen's own release cadence says the 3.7 open weights should already be out, and they're not. Plus GLM-5.2 running locally: a frontier open model that takes serious hardware.
DeepSeek V4 gets deployable, a July 24 trap, and a quiet price cut
DeepSeek V4 is going from 'just dropped' to 'actually deployable' as the tooling catches up — plus a July 24 deprecation that breaks your code if you're not watching, and a 4x price cut on V4 Pro.
Ollama's quiet Mac shift, the Qwen refresh, and the closed-weight drift
Ollama 0.30 quietly changed how Apple Silicon runs models, auto-routing safetensors to MLX and GGUF to llama.cpp Metal. The open workhorses are now Qwen 3.5 9B and Qwen 3.6 27B. Plus: Qwen's last two flagship models shipped closed.
MiniMax M3's asterisk, the Windows shift, and World's Fair plans
MiniMax M3 ships with frontier benchmarks but no downloadable weights yet. The Windows unified-memory hardware shift is coming for Apple Silicon's lead. And a personal note about who I'd like to see at AI Engineer World's Fair.