A 30+ minute conversation covering: practical fine-tuning of Amazon Nova for document AI with on-demand inference; edge detection fundamentals with Sobel/Scharr; building real agent systems (tools, MCP, code execution, memory, microVMs, observability); Grokipedia vs Wikipedia bias; OpenAI’s clash with nonprofits; Apple AI leadership exits to Meta; court fine for AI hallucinations; Campfire’s rapid funding for AI-native ERP; 10Web’s vibe coding on WordPress; AI coding platform traffic skepticism; and scrutiny of the UK’s £45B AI savings claim.

Sources:

• Lovable is Dying Again
• OpenAI thinks Elon Musk funded its biggest critics—who also hate Musk
• Optimizing document AI and structured outputs by fine-tuning Amazon Nova Models and on-demand inference
• The New Paradigm: 10Web Launches AI-Native Vibe Coding Editor for WordPress
• UK government's £45B AI savings pitch built on broad-brush guesswork, MPs told
• Why Accel Led A Round For Fintech Startup Campfire For The Second Time In Under 4 Months
• Why de-risking is key to unlocking Africa’s investment potential
• Apple loses another AI exec to Meta
• Grokipedia: Elon Musk is right that Wikipedia is biased, but his AI alternative will be the same at best
• Apple's head of AI search Ke Yang joins Meta
• Feature Detection, Part 1: Image Derivatives, Gradients, and Sobel Operator
• Demystifying agents
• Canadian man fined for submitting AI hallucinations as part of legal defense
• I've tested dozens of noise-cancelling headphones on flights - this one is the audio king