Practical AI news, automation tips, and real-world insights to help your business stay ahead.
GLM-5.2 is the strongest open-weight coding model with 81.0 on Terminal-Bench 2.1. Full review with benchmarks, architecture, and deployment options.
Kimi K2.7 achieves GPT-5.5-class performance at a fraction of the cost. Full review with benchmarks, local inference setup, and competitive analysis.
Tencent's HY3 delivers frontier-adjacent performance at $0.14 per million input tokens with a 5.4% hallucination rate. We compare it against GLM-5.2, DeepSeek V4, Kimi K2.6, and proprietary models on benchmarks, cost, and reliability.
Grok 4.5 delivers near-frontier performance at 80-90% lower cost than Fable 5. We break down the benchmarks, pricing, hallucination risks, and what it means for businesses building with AI in 2026.
A custom-trained model from Thinking Machines Lab and Bridgewater just outperformed GPT, Claude, and Gemini on financial tasks at 13.8x lower cost. Here's what it means for the future of AI in business.
Microsoft's Agent Governance Toolkit brings OS-like security, identity, and reliability to autonomous AI agents. One pip install, any framework, sub-millisecond enforcement.
We deployed DeepSeek V4 Flash with DSpark speculative decoding on 2x NVIDIA DGX Spark boxes. 49 tok/s, 1M token context, 6-way concurrency, zero API bill. Real numbers, real bugs, real fixes.
Alex Karp went on CNBC and accused AI frontier labs of overselling, overcharging, and extracting enterprise IP. Here's why every Australian business should pay attention.
Nvidia's NVFP4 quantization of Alibaba's Qwen3.6-27B cuts memory by 2.5x with under 1% accuracy loss. The 19.7GB model runs on RTX PRO 6000 and DGX Spark, delivering up to 2,000+ tokens/sec with vLLM and MTP speculative decoding.