DeepSeek V4
Open weights are a weapon now — one country funds them, another wants to gate them
DeepSeek closed a ~$7.4B round with China's state AI fund holding the only voting rights, funding open weights like national infrastructure. The same week, Demis Hassabis called for a FINRA-style body to screen frontier models before release, open or closed. Plus: the twist where the country bankrolling the giveaway floats locking down its own frontier models.
Power week in local AI: Mythos, MiroThinker, real Qwen 3.6 builds
Two researchers cracked Apple's flagship defense in a week. An open-source agent beat closed-source on real benchmarks. Multi-GPU stopped being theoretical.
This Week in Local AI — DeepSeek V4 Took #1 on Vibe Code
DeepSeek V4-Flash hit #1 on Vibe Code Benchmark. Qwen 3.6 dropped both variants. FP4 landed in llama.cpp. Anthropic admitted they quietly downgraded Claude Code on March 4.
DeepSeek V4: Everything We Know Before It Drops
DeepSeek V4 launches next week with native image and video generation, 1M context, and rumored 1T MoE params with only 32B active. Here's what local AI builders need to know and how to prepare.
Best Local LLMs for Mac in 2026 — M1 through M5 Tested
Best model for every Mac tier, 8GB to the 96GB Studio ceiling. Qwen 3.6, Llama 4 Scout, DeepSeek V4, MLX vs Ollama. Why bandwidth, not RAM, sets your speed.
Best Local Models for OpenClaw 2026: Qwen 3.6 + DeepSeek V4
Qwen 3.6-27B dense ties Sonnet 4.6 on agentic coding; 3.6-35B-A3B runs OpenClaw on 16GB VRAM. Plus DeepSeek V4-Flash, sampling tips, VRAM tiers.
Best Local Coding Models Ranked: Every VRAM Tier, Every Benchmark (2026)
The best local LLMs for coding in 2026, ranked by VRAM tier. Qwen 3.6-27B, 3.6-35B-A3B, DeepSeek V4-Flash, benchmarks, editor setup, and Claude Code alternatives.