How Sufficiency Reshapes AI Agents, Data‑Centre Footprints and Corporate Strategy

Happiness Beyond GDP: How Sufficiency Shapes AI Agents, Data‑Centre Footprints and Corporate Strategy Executive summary Boards and executives: your next strategic risk may come from the energy and capital cost of scaling AI, not a competitor. The Global/World Justice Report proposes a sufficiency‑based roadmap—prioritizing time, health, education and planetary habitability over GDP growth—that directly challenges […]

OpenJarvis: On-Device AI Agents Deliver 800× Lower Cost, 4× Lower Latency and Stronger Privacy

OpenJarvis: On‑Device Personal AI for Business — Lower Cost, Lower Latency, Stronger Privacy TL;DR: OpenJarvis is an open‑source, local‑first framework that packages models, agent workflows, tools, memory and learning into a single portable configuration. It runs inference and agent logic on your hardware by default, using a cloud model only as an offline coach during […]

NEXUS on SageMaker JumpStart: Large Tabular Model for Enterprise Predictive AI

NEXUS: A foundation model that finally speaks tabular TL;DR NEXUS is a Large Tabular Model (LTM) pre-trained on billions of prediction tasks and over 10 billion table rows to predict directly from tables — numbers, categories, dates and short text — with reproducible outputs. Available via Amazon SageMaker JumpStart and AWS Marketplace, it runs in […]

Fine‑tune LFM2 on Colab: QLoRA + LoRA SFT with Optional DPO for Preference‑Aligned Deployments

Fine‑tune LFM2 on Colab — QLoRA + LoRA SFT with optional DPO tuning TL;DR: Run a low‑cost pipeline on a single Colab GPU to turn Liquid AI’s LFM2‑1.2B into a deployable, preference‑aligned checkpoint. The recipe pairs QLoRA (4‑bit quantization) with parameter‑efficient LoRA adapters for supervised fine‑tuning (SFT), then optionally applies Direct Preference Optimization (DPO) on […]