While autonomous agents and large-scale reasoning models are currently attracting significant attention and investment, I find that Retrieval-Augmented Generation (RAG) and its variants remain foundational to building practical, knowledge-intensive AI applications. The RAG space isn’t static; it’s continually evolving, offering compelling solutions for real-world AI challenges. Take GraphRAG, for instance—a design pattern that garnered attentionContinue reading “RAG’s Next Chapter: Agentic, Multimodal, and System-Optimized AI”
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RAG Reimagined: 5 Breakthroughs You Should Know
Subscribe • Previous Issues RAG’s Next Chapter: Agentic, Multimodal, and System-Optimized AI While autonomous agents and large-scale reasoning models are currently attracting significant attention and investment, I find that Retrieval-Augmented Generation (RAG) and its variants remain foundational to building practical, knowledge-intensive AI applications. The RAG space isn’t static; it’s continually evolving, offering compelling solutions for real-world AIContinue reading “RAG Reimagined: 5 Breakthroughs You Should Know”
Time Bought, Advantage Lost? The Limits of Semiconductor Sanctions
The technological and economic competition between the United States and China has increasingly centered on AI capabilities, with semiconductor access becoming the critical battleground. Since 2022, these export controls have evolved from targeted restrictions to a complex regulatory regime with far-reaching implications. I have tracked Washington’s semiconductor export controls since they were first rolled out,Continue reading “Time Bought, Advantage Lost? The Limits of Semiconductor Sanctions”
Why AI Efficiency Outruns Hardware Shortages
Subscribe • Previous Issues Time Bought, Advantage Lost? The Limits of Semiconductor Sanctions The technological and economic competition between the United States and China has increasingly centered on AI capabilities, with semiconductor access becoming the critical battleground. Since 2022, these export controls have evolved from targeted restrictions to a complex regulatory regime with far-reaching implications. I haveContinue reading “Why AI Efficiency Outruns Hardware Shortages”
Workflow, Not Wizardry: The Real Levers of AI Success at Work
After two years of breathless predictions about AI transformation, there remains a stark divide between promise and practice. Major tech companies continue their massive infrastructure investments – with capital expenditures approaching 30% of revenues – while many enterprise clients struggle to demonstrate meaningful returns. Recent data shows 42% of companies abandoning most of their generativeContinue reading “Workflow, Not Wizardry: The Real Levers of AI Success at Work”
🚨 New Data Reveals Why Most Gen-AI Pilots Fail
Subscribe • Previous Issues Workflow, Not Wizardry: The Real Levers of AI Success at Work After two years of breathless predictions about AI transformation, there remains a stark divide between promise and practice. Major tech companies continue their massive infrastructure investments – with capital expenditures approaching 30% of revenues – while many enterprise clients struggle to demonstrateContinue reading “🚨 New Data Reveals Why Most Gen-AI Pilots Fail”
Open-source AI that pays for itself: Block’s Vision for AI Integration
Just when I think I’ve grasped the full landscape of AI coding assistants, another compelling tool I’d never encountered invariably surfaces. codename goose (hereafter “Goose”), an open-source agent used weekly by 5,000 Block employees, shows what happens when you give an LLM a toolbox. Built at Block (formerly Square) and released under an MIT licenceContinue reading “Open-source AI that pays for itself: Block’s Vision for AI Integration”
Can a single agent automate 90% of your code fixes? Block thinks so
Subscribe • Previous Issues Open-source AI that pays for itself: Block’s Vision for AI Integration Just when I think I’ve grasped the full landscape of AI coding assistants, another compelling tool I’d never encountered invariably surface. codename goose (hereafter “Goose”), an open-source agent used weekly by 5,000 Block employees, shows what happens when you give an LLMContinue reading “Can a single agent automate 90% of your code fixes? Block thinks so”
The Protocol Foundation: Building Enterprise-Ready AI Agent Systems
I often hear a recurring concern from teams working with AI: will our agents truly integrate with our existing systems, or are we facing an endless cycle of custom wiring for each new tool? Agentic AI protocols are emerging as a potential solution. These protocols provide the essential “plumbing” that could transform a foundation modelContinue reading “The Protocol Foundation: Building Enterprise-Ready AI Agent Systems”
Tired of Custom AI Wiring? There’s a Better Way
Subscribe • Previous Issues The Protocol Foundation: Building Enterprise-Ready AI Agent Systems I often hear a recurring concern from teams working with AI: will our agents truly integrate with our existing systems, or are we facing an endless cycle of custom wiring for each new tool? Agentic AI protocols are emerging as a potential solution. These protocolsContinue reading “Tired of Custom AI Wiring? There’s a Better Way”