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 #1130 for Monday, July 13, 2026's essential reads and reflections

Read

  1. Guide to Loop Engineering: How ‘autoresearch’ and ‘Bilevel Autoresearch’ Turn AI Agents Into Autonomous Machine Learning ML Research Loops
  2. RAG vs Fine-Tuning Explained: What They Actually Do and When to Use Each
  3. How to Orchestrate 100+ Agents With Claude Code
  4. Handling Imbalanced Classification: What Works Better Than SMOTE
  5. Mira Murati’s Thinking Machines Lab Makes The Technical Case For Human-Centered AI Built On Customizable Model Weights
  6. A Coding Guide to NVIDIA’s Tile-Based GPU Programming: From cuTile and Triton Kernels to Flash Attention
  7. RAG Evaluation Frameworks Compared: RAGAS vs TruLens vs DeepEval
  8. Long Context Isn’t Free — I Built a Safe Prompt-Pruning Layer That Makes LLM Systems Work
  9. That Is Embarrassing: Why Frontier AI Still Makes Things Up, and What to Do About It
  10. Ant Group’s Robbyant Unveils LingBot-VA 2.0: A Causal Video-Action Model Built Natively for Physical AI
  11. Kyutai Releases MuScriptor: An Open-Weight Decoder-Only Transformer for Multi-Instrument Music Transcription to MIDI
  12. How to Build a T4-Friendly Autonomous Data Science Agent with DeepAnalyze-8B, Sandboxed Code Execution, and Iterative Analysis
  13. I Built My Second ETL Pipeline. This Time, I Started Thinking Like a Data Engineer
  14. Here’s how to make study notebooks in the Gemini app.
  15. Fine-tune NVIDIA Nemotron 3 models with Amazon SageMaker AI serverless model customization
  16. Real-time dental image verification with Amazon SageMaker AI at Henry Schein One
  17. Build a semantic layer for agentic AI on AWS with Stardog and Amazon Bedrock AgentCore
  18. Scaling agentic workflows with native case management in Amazon Quick Automate
  19. Deploying quantized models on Amazon SageMaker AI with Unsloth
  20. How KTern.AI built agentic AI for SAP on Amazon Bedrock AgentCore
  21. Disaggregated prefill and decode for LLM inference on SageMaker HyperPod
  22. PySpark for Beginners: Building Intermediate-Level Skills
  23. Fine-Tuning Explained for Noobs (How Pretrained Models Learn New Skills)
  24. RAG Was Always a Temporary Workaround. What is Next?
  25. Local Video Summarization Pipeline: Processing Frames with SmolVLM2-2.2B
  26. The Big Con of Agentic AI
  27. Google Research Introduces SensorFM: A Wearable Health Foundation Model Pretrained on One Trillion Minutes of Sensor Data
  28. Meet LingBot-World-Infinity: An Open Causal World Model With An Agentic Harness
  29. GPT-5.6 Is Here: Sol, Terra, and Luna
  30. Behavioral Privacy Leakage in Agentic Negotiation: Formalizing and Mitigating Inference Attacks via Randomized Policies
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Watch

  1. Anthropic: Build For Where The Models Are Going To Be
  2. New AI Just Reinvented Minecraft Worlds
  3. The Architecture of Claude Tag
  4. Reel of the Week: @_sweetzori
  5. Craig Mod Bans His Own AI Tools to Protect His Writing
  6. DeepSeek Is Building for the Long Term
  7. Stop trusting these AI benchmarks #ai #programming
  8. LingBot-VA 2.0: The Robot Brain That Predicts and Acts in Real Time
  9. Justin Cormack - When Tests Lie: Using Observability to Keep AI Honest - AI Native DevCon June 2026
  10. Meet the family running a cereal business from their dining room with GPT-5.6
  11. Stampli scales product marketing with ChatGPT Work
  12. MuScriptor: The Open Model That Turns Any Song Into MIDI (Kyutai + Mirelo)
  13. ChatGPT Computer Use: Now faster with Live Picture-in-Picture
  14. RingCentral Scales Customer Programs with ChatGPT Work
  15. Understanding the inner thoughts of AI
  16. Grok 4.5 vs Claude vs ChatGPT: The Coding Battle Just Got Real
  17. Claude Sonnet 5 Cuts Costs and Raises the Stakes
  18. What Actually Makes Claude Tag Different
  19. The Best Leaders Put Empathy First | Leadership Advice That Changes Teams
  20. Stop Prompting AI Agents. Start Building Loops. (Full Tutorial)
  21. A Model Explosion: GPT 5.6 Sol, Grok 4.5 and Meta Muse Rewrite the Rules
  22. How Deutsche Telekom is rewiring telecommunications with AI
  23. Amit Kushwaha - Benchmarking the Agent Era: Measuring Performance Beyond the LLM - AI Native DevCon
  24. This AI World Model Ran for 60 Minutes Without Falling Apart
  25. Knowledge work is becoming gardening: you set the conditions, AI does the growing
  26. Why AI Models Write in Their Own Private Language (And Why It's a Problem)

Listen

  1. How Enterprise Leaders Are Building Their Agentic AI Strategy - with Matt Renner of Google Cloud