Practical AI news, automation tips, and real-world insights to help your business stay ahead.
Two major open-source AI models launched within days of each other. Kimi K2.7 Code excels at token efficiency while MiniMax M3 brings a 1M context window and native multimodality.
Moonshot AI's Kimi K2.7 Code is an open-source 1 trillion parameter coding model that reduces reasoning token usage by 30% while posting double-digit benchmark gains over K2.6.
Google just dropped DiffusionGemma, a 26B open model that generates text like an AI image generator, not a typewriter. 1000+ tokens per second, Apache 2.0 license, and it can actually solve Sudoku. Here's what it means for builders.
Real-world A/B benchmark running DeepSWE tasks on DeepSeek V4 Flash at 1M vs 262K context. The 1M run was 3x faster but produced identical results. Here is what we learned about local LLM agent benchmarks.
Real-world benchmarks running DeepSeek V4 Flash (284B MoE) across two NVIDIA DGX Sparks with tensor parallelism over 200Gbps RoCE. 41 tok/s at 1 million token context, 3x faster than single-node. Includes how to run your AI agent for free.
We tested DeepSeek V4 Flash, AEON-27B, and Step 3.7 Flash against the DeepSWE benchmark on DGX Spark hardware. All three scored zero. The story behind that zero is what matters.
Nous Research's self-improving Hermes Agent is the new challenger. We put it head-to-head against OpenAI Codex and Anthropic's Claude Cowork across coding, research, and autonomous workflows.
25+ frontier open-weight AI models dropped in one week across every modality. The full breakdown of the most insane week in open-source AI history.
Microsoft Research released SkillOpt, the first text-space optimizer for AI agent skills. It trains reusable markdown skill documents using epochs, batch sizes, and validation gates without touching model weights. On GPT-5.5 it lifts accuracy by +23.5 points. Here is what it means for businesses building AI agents.