Although the Shift app website claims “there is no catch” for the free cleaning, the FAQ notes that booking an […]
Category: Artificial Intelligence
Meet mKernel: A Multi-GPU, Multi-Node Fused Kernel Library for GPU-Driven Communication
GPU communication overhead is a measurable bottleneck in production AI workloads. According to data cited by the mKernel project, communication […]
How to Design an End-to-End Ansible Automation Lab with Playbooks, Inventories, Roles, Vault, Dynamic Inventory, and Custom Modules
In this tutorial, we build a complete Ansible lab that runs end-to-end in Google Colab or any Linux environment. We […]
Liquid AI Releases LFM2.5-8B-A1B: An On-Device MoE Model With 8.3B Total and 1.5B Active Parameters
Liquid AI just shipped LFM2.5-8B-A1B. It is an on-device Mixture-of-Experts (MoE) model built for tool calling. The model holds 8.3B […]
Anthropic Ships Claude Opus 4.8 Alongside Dynamic Workflows and Cheaper Fast Mode, With Workflows Capped at 1,000 Subagents
Anthropic just launched Claude Opus 4.8. Also, there two Claude Code updates shipped with it. Dynamic workflows run many subagents […]
Apple working to cram massive Gemini model into iPhone to power new Siri
It’s impossible to totally avoid generative AI when interacting with technology anymore, but Apple has a bit less of it. […]
Trump loses more control over AI regulation as Illinois passes landmark law
Illinois had “no choice” but to intervene Democratic Rep. Daniel Didech, who sponsored the bill in the Illinois House, told […]
Perplexity AI Open-Sources Unigram Tokenizer That Achieves 5x Lower p50 Latency Than Hugging Face tokenizers Crate
Perplexity AI’s research team reimplemented their Unigram tokenizer from scratch in Rust and open-sourced the code in pplx-garden, their inference […]
A Coding Guide to Implement a pgvector-Powered Semantic, Hybrid, Sparse, and Quantized Vector Search System
In this tutorial, we build a complete pgvector playground inside Google Colab and explore how PostgreSQL can work as a […]
Sakana AI Proposes DiffusionBlocks: a Block-wise Training Framework That Converts Residual Networks into Independently Trainable Denoising Modules
Researchers from Sakana AI and the University of Tokyo propose DiffusionBlocks. It trains transformer-based networks one block at a time. […]