Meet mKernel: A Multi-GPU, Multi-Node Fused Kernel Library for GPU-Driven Communication
Source: MarkTechPost GPU communication overhead is a measurable bottleneck in production AI workloads. According to data cited by...
Hexo Labs Open-Sources SIA: A Self-Improving Agent That Updates Both the Harness and the Model Weights
Source: MarkTechPost Most AI agents stop improving once a human stops tuning them. The model is fixed. The...
How to Design an End-to-End Ansible Automation Lab with Playbooks, Inventories, Roles, Vault, Dynamic Inventory, and Custom Modules
Source: MarkTechPost In this tutorial, we build a complete Ansible lab that runs end-to-end in Google Colab or...
Liquid AI Releases LFM2.5-8B-A1B: An On-Device MoE Model With 8.3B Total and 1.5B Active Parameters
Source: MarkTechPost Liquid AI just shipped LFM2.5-8B-A1B. It is an on-device Mixture-of-Experts (MoE) model built for tool calling....
Anthropic Ships Claude Opus 4.8 Alongside Dynamic Workflows and Cheaper Fast Mode, With Workflows Capped at 1,000 Subagents
Source: MarkTechPost Anthropic just launched Claude Opus 4.8. Also, there two Claude Code updates shipped with it. Dynamic...
Media Advisory: MIT to establish regional quantum hub
Source: MIT News – Artificial intelligence MIT and the Commonwealth of Massachusetts announced plans to establish the Quantum...
Building a Context Pruning Pipeline for Long-Running Agents
Source: MachineLearningMastery.com In this article, you will learn how to implement a context pruning pipeline for long-running AI...
Perplexity AI Open-Sources Unigram Tokenizer That Achieves 5x Lower p50 Latency Than Hugging Face tokenizers Crate
Source: MarkTechPost Perplexity AI’s research team reimplemented their Unigram tokenizer from scratch in Rust and open-sourced the code...
A Coding Guide to Implement a pgvector-Powered Semantic, Hybrid, Sparse, and Quantized Vector Search System
Source: MarkTechPost In this tutorial, we build a complete pgvector playground inside Google Colab and explore how PostgreSQL...
Sakana AI Proposes DiffusionBlocks: a Block-wise Training Framework That Converts Residual Networks into Independently Trainable Denoising Modules
Source: MarkTechPost Researchers from Sakana AI and the University of Tokyo propose DiffusionBlocks. It trains transformer-based networks one...