Insights
Artificial Intelligence

Dive into the world of AI with expert insights on machine learning, automation, and emerging technologies. Discover how AI is shaping industries and transforming businesses.

Past Edition

Dive back into Artificial Intelligence Edition #1059 for Friday, April 3, 2026's essential reads and reflections

Read

  1. Arcee AI Releases Trinity Large Thinking: An Apache 2.0 Open Reasoning Model for Long-Horizon Agents and Tool Use
  2. Defeating the ‘Token Tax’: How Google Gemma 4, NVIDIA, and OpenClaw are Revolutionizing Local Agentic AI: From RTX Desktops to DGX Spark
  3. Simulate realistic users to evaluate multi-turn AI agents in Strands Evals
  4. Replit Agent Skills Complete Guide: Write Your Own Skills in Replit
  5. TurboQuant: Google’s KV Cache Optimization Explained
  6. Gemma 4: Byte for byte, the most capable open models
  7. “Just in Time” World Modeling Supports Human Planning and Reasoning
  8. Linear Regression Is Actually a Projection Problem (Part 2: From Projections to Predictions)
  9. LLMOps in 2026: The 10 Tools Every Team Must Have
  10. How to Handle Classical Data in Quantum Models?
  11. Scaling seismic foundation models on AWS: Distributed training with Amazon SageMaker HyperPod and expanding context windows
  12. Control which domains your AI agents can access
  13. Rocket Close transforms mortgage document processing with Amazon Bedrock and Amazon Textract
  14. Persist session state with filesystem configuration and execute shell commands
  15. Top 5 Agent Skill Marketplaces for Building Powerful AI Agents
  16. Quantum Simulations with Python
  17. Claude Code Leak: 18 Lessons on Building Production-Ready AI Systems
  18. IBM Releases Granite 4.0 3B Vision: A New Vision Language Model for Enterprise Grade Document Data Extraction
  19. How to Build Production Ready AgentScope Workflows with ReAct Agents, Custom Tools, Multi-Agent Debate, Structured Output and Concurrent Pipelines
  20. Evaluating the ethics of autonomous systems
  21. Personalized Group Relative Policy Optimization for Heterogenous Preference Alignment
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Watch

  1. Is Your Website Built for Agents?
  2. We scanned Claude to look for emotions
  3. We Won’t Solve Alignment in Time
  4. 5 Beginner-Friendly GenAI Projects You Must Build
  5. AI'm Here to Help: Glowing Up Your Typeface
  6. RAG Evaluation Metrics Tutorial
  7. Build a Graph RAG System from Scratch
  8. Why Classic RAG Fails & How Graph RAG Solves It
  9. Build a RAG System from Scratch with Python
  10. Graph RAG Project Problem Statement
  11. Knowledge Graph, Vector Store, Graph Store & Retriever Layer
  12. Entity Graphs, Multi-Hop Retrieval Explained
  13. Classic RAG Limitations Explained
  14. Graph RAG Course Introduction
  15. 12 Claude Code Features Every Engineer Should Know

Listen

  1. How Digital K‑1 Data Changes Tax Workflow Maturity - with Ken Powell and Neal Schneider