Subscribe • Previous Issues The Enterprise Guide to Voice AI Threat Modeling and Defense Voice interfaces have become a routine feature of modern life, from home assistants to automotive controls and automated customer service. Yet, within the AI community, the focus on large language and visual models has overshadowed the field of voice. In my experience, forContinue reading “New Threat Vector: Prompt Injection at the Raw Signal Level”
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“Massive Scrum” of Models: New Data on China’s AI Gold Rush
Subscribe • Previous Issues Inside China’s AI Registry China’s Cyberspace Administration (CAC) maintains the world’s only comprehensive, publicly accessible registry of generative AI tools (GAT). Every public-facing generative AI service—whether text, image, audio, video, or multimodal—must register before deployment. In April, Trivium posted an Excel file that lists all the GATs in this registry. The Excel fileContinue reading ““Massive Scrum” of Models: New Data on China’s AI Gold Rush”
The “boring” truth about successful AI
Subscribe • Previous Issues From Demos to Dollars: Quiet Engineering, Big Commercial Pay-offs Deploying generative AI systems is an engineering discipline rather than a science project. Foundation models and novel prototypes win headlines, but the commercial race will be decided in the production trenches—where reliability, cost, and governance matter more than benchmark scores. These infrastructure shifts areContinue reading “The “boring” truth about successful AI”
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”
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”
🚨 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”
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”
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”
Why this AI veteran left Google to make models ‘unconditionally open’
Subscribe • Previous Issues Beyond Open Weights: The Path to Unconditionally Open AI While I routinely work with both proprietary LLMs and open-weights models, my heart lies with models that are open in the fullest sense. Very early on, I noted that for foundation models, ‘open’ must comprehensively cover not just weights but also data, code, andContinue reading “Why this AI veteran left Google to make models ‘unconditionally open’”
Beyond Siri: The Real Apple AI Story
Subscribe • Previous Issues Apple’s AI: Efficiency, Privacy, and Seamless Integration Apple’s success has been built upon a meticulous fusion of hardware, software, and services, consistently shaping how people interact with technology while championing user privacy. However, the recent explosion in artificial intelligence, particularly generative AI, presents a new paradigm. While the company is often perceived asContinue reading “Beyond Siri: The Real Apple AI Story”