AWS introduces Kiro powers, allowing developers to give their AI coding assistants instant expertise in specific tools and workflows, addressing the 'context rot' issue.
Why it matters
The introduction of Kiro powers is a significant development in the AI-assisted coding landscape, addressing a key challenge in AI model performance and efficiency, but its long-term impact and adoption remain to be seen.
Community talk
[Release] We built Step-Audio-R1: The first open-source Audio LLM that truly Reasons (CoT) and Scales – Beats Gemini 2.5 Pro on Audio Benchmarks.
**"The Architect V5.1: A Jailbreak-Resistant Portable Persona That Turns Any LLM into a First-Principles Systems Thinker (Self-Improving + Fully Open-Source)"**
Agents are workflows and the hard part isn't the LLM (Booking.com AI agent example)
Benchmarking LLM Inference on RTX PRO 6000 vs H100 vs H200
Strix Halo batching with tensor parallel and pipeline parallel using vllm benchmarked
Beelink GTR9 Pro or Minisforum MS-S1 Max for local LLM development
An update to "why multimodal API calls to vLLM server have worse outputs than using Open WebUI"
[D] LLM Fine-Tuning: CPT on 71M Short Dialectal Tokens (256 Max Len) - How to Ensure Long-Form Generation Later?
I’ve Spent Months Building CAELION — A Cognitive Architecture That Isn’t an LLM. Here’s the Core Idea.
CPU-only LLM performance - t/s with llama.cpp
Please help me pick the right Mac for local LLM inference (M4 vs M2 Pro vs M1 Max)
LLM API Selction
Small LLM (< 4B) for character interpretation / roleplay
Ava 3.2 — A Structured “Mode” for Stable, Non-Persona LLM Behavior