Everyone's celebrating AI coding assistants, but nobody's talking about the 7.2% drop in delivery stability that comes with them. DORA just dropped a bombshell report on generative AI in software development, and the findings are way more complicated than the hype suggests. The
@godofprompt
-
AI creativity is architecture, not imagination
By
–
people think ai creativity is magic. it paints, writes, composes – so we assume it’s “thinking” like us. but that’s not what’s happening under the hood. researchers recently showed that creativity in models comes from architecture, not imagination. the wiring matters more than
-
AI’s creativity stems from pattern recognition
By
–
ai doesn’t create because it “wants to.” it creates because we wired it to notice patterns. architectural choices like locality and equivariance force the model to capture structure in the data. that’s why it can remix old knowledge into something that looks new. creativity in
-
Building an AI-Powered Lead Generation Workflow in n8n
By
–
Watch Ben build my lead generation workflow in n8n New YT video dropped
-
Using XML to improve Claude model performance
By
–
XML is a great way to get best results from Claude
-
Alibaba Releases Qwen3-Omni Multimodal AI Model
By
–
China will always stay one step ahead of the U.S. in AI Alibaba just dropped Qwen3-Omni and it's the first model that doesn't sacrifice anything to be multimodal. Usually when you add vision and audio to a language model, text performance tanks. Not here. Qwen3-Omni-30B-A3B
-
The Shift Toward Agentic AI Workflows and Small Models
By
–
TL;DR: Stop chasing size. The value is agentic AI = small models that plan, use tools, self-check, and work as a team. Proof > hype: JPM ~30% cost cuts; market $5.1B → $69B by 2032. Ship workflows, not weights. Use open-source + edge to slash cost. Build for dual-use where
-
China’s Open Source AI Advantage
By
–
Open source is a wedge — and China will press it. Fast, cheap models at ~1/10th cost change the game. Use what ships, wherever it comes from. Next, small models on the edge: token prices down >90%; edge spend heading toward $378B by 2028; SLM market from ~$930M → $5.45B by
-
The role of AI agents in defense and industrial logistics
By
–
The uncomfortable truth: defense is a major growth engine — and “dual-use” is the practical path. Logistics, predictive maintenance, simulation/training, secure comms, threat detection — all need robust agents. Also: skip the AGI hype. Ng’s test — “until companies fire ALL