Fine-Tuning Qwen3 with LoRA for Reliable Tool Calls: A Practical XYZ-Aquila-SFT Recipe

Fine‑Tuning Tool‑Calling LLMs: a practical Qwen3 + XYZ‑Aquila‑SFT SFT recipe This guide shows how to fine‑tune Qwen3 with LoRA so it reliably emits structured tool calls from the XYZ‑Aquila‑SFT trajectories while preserving in‑turn reasoning (<think> blocks). Follow the pipeline and you’ll get a reproducible set of structured JSONL artifacts, a corpus stats report, and a […]

AI hiring and the cognitive commons: how replacing juniors erodes professional expertise

When efficient AI hiring becomes a slow bleed: Lovett’s “tragedy of the cognitive commons” Nolan Lovett, a researcher at NATO Special Operations University, argues that individually rational choices to replace entry‑level work with AI can slowly eat away the tacit knowledge professions rely on, what he calls the “tragedy of the cognitive commons” (Lovett, arXiv:2607.29380; […]

Unitree G1 humanoids: viral PR stars, not yet ready for enterprise automation

In April 2026 a viral clip showed a four-foot-tall humanoid in Warsaw, nicknamed Edward, chasing away wild boars while wearing a backpack and a Rolex. That footage was one of several moments that turned Unitree’s G1 into the go-to platform for public-facing robot stunts. The scene and the broader phenomenon were documented by Zeyi Yang […]

Designing Reward Signals for Multi-Turn Reinforcement Fine-Tuning on Amazon Nova Forge

Custom reward functions for multi-turn reinforcement learning with Amazon Nova Forge Bad reward design in multi-turn reinforcement fine-tuning (RFT) can produce deceptively good training curves while teaching an agent the wrong behavior, here’s why and how to avoid it. One experiment the Nova Forge team shared makes the point bluntly: a shaping bonus that only […]

AI agents automate experiments but fail to produce publishable research, study shows

Study challenges lab claims that AI agents can autonomously conduct publishable research In a tightly controlled test reported by Jonathan Kemper in The Decoder (Aug 14, 2026), researchers from Princeton and the UK AI Security Institute gave state‑of‑the‑art models the exact same research problems their human authors had been working on, with full compute, API […]