On Tuesday, Anthropic released Fable and Mythos 5.1, twinned versions of the company’s most advanced AI model. In addition to performance upgrades, the new Fable release includes changes meant to reduce token cost and false-positive restrictions from the model’s safeguards.
Kai examines why local AI coding agents on Mac devices often experience significant performance degradation over time due to inefficient prefix caching. The guide details how oMLX implements a two-tier caching system to address this, along with instructions for integrating the tool with popular coding environments to maintain consistent response speeds throughout long sessions.
Earlier in August, Z.ai, the Chinese AI lab behind the viral ox-alpha model that turned out to be GLM-5.3-Flash, launched its flagship GLM-5.3 model. On Friday, the company made the model’s weights available on Hugging Face, which Nvidia may soon own. Several third-party inference services already host it and make it available on services like OpenRouter, which Stripe will soon own.
As The New Stack’s Amanda Caswell reported when the model originally launched, Z.ai’s focus on training GLM-5.3 was on post-training. The result isn’t simply a large jump in benchmark performance over its predecessor, GLM-5.2, but a model that is often ahead of other Chinese open-weight models and can keep pace with current models from the large U.S. frontier labs.
AI LABS explores the rising demand for forward-deployed engineers who bridge the gap between complex business processes and practical AI implementation. The session outlines a five-step framework for auditing existing workflows, identifying automation opportunities, and building systems that integrate seamlessly into a company's current operations without disrupting established productivity.
In this video, I look at the long awaited Qwen3.8-27B model. Both what it can do and how to serve it at the maximum tokens per second
Skills v1.2.0 is out with major improvements: new documentation site, Claude Code marketplace integration, five brand new skills including Wait What for Opus verbosity, an updated Grill Me with multi-question rounds, and the powerful Wizard skill for infrastructure provisioning.
The biggest AI model release of the past few days, at least among the developers and AI power users on social media, wasn't a frontier cloud model from OpenAI, Anthropic or Google.
It was a 27-billion-parameter model from Alibaba: Qwen3.8-27B landed on Hugging Face on Friday under an enterprise-friendly, open source Apache 2.0 license, giving developers downloadable weights for a dense multimodal model.