Author name: aifuturethinkers.com

Hello, and welcome to the world of my AI! I am overjoyed that you have chosen to accompany us on this journey into the fascinating field of artificial intelligence. If you find artificial intelligence to be as fascinating as I do, you are in for a thrilling trip! As a Data Engineering professional, I’ve been immersed in technology for the past ten years, and it’s become second nature to me. With a Master’s degree in Computer Application under my belt, I’ve had the fortunate opportunity to see artificial intelligence (AI) disrupting businesses and changing the game in ways that we couldn’t have anticipated before it happened. Now that I’ve finished reading all of my blogs, I’m ready to pass on all of the incredible information that I’ve gained. Together, we will investigate everything from the most cutting-edge AI applications to the most recent fashions. It doesn’t matter if you’ve never worked with AI before; I guarantee to make the process easy and entertaining so that anybody may take part in the AI adventure.

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Why Blackwell Delivers 50x, Not 2x · Hanh D. Brown

AI Chip Performance: Why Blackwell Delivers 50x, Not 2x. AI hardware delivers 50x more tokens per watt while spec sheets show 2x. The 25x gap lives in extreme co-design across seven layers, not in any single chip. ai-hardware ai-markets ai-economics If you have followed Artificial Intelligence (AI) hardware announcements and wondered why the generational gaps …

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Treat the Agent Like an Employee · Hanh D. Brown

AI Agent Governance: Treat the Agent Like an Employee. An AI agent without identity, role, access, audit, performance, and a manager is not autonomous. It is unsupervised. The fix is six primitives and a kill switch. ai-governance ai-and-work ai-strategy An enterprise would never let a human employee through the door without an identification badge, an …

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Python Data Classes Beyond the Boilerplate

Introduction Most developers see Python dataclasses as a shortcut for avoiding repetitive dunder methods like __init__ and __repr__. So at first look, it seems like a simple way to write less code and move faster. In practice, dataclasses are designed to reduce boilerplate in data-focused classes while keeping behavior clear and under your control. Instead …

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My Mother and Higher-Value Care · Hanh D. Brown

The Work AI Cannot Replace: My Mother and Higher-Value Care. AI abundance forecasts assume labor scales. Care work does not. A daughter’s hours are the hours the forecast does not see. The wall is closer than they say. caregiving aging-and-care ai-economics ai-careers Artificial Intelligence (AI) abundance forecasts share a sentence. The sentence promises automation will …

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Speculative Decoding on CPUs: Nearly 4x Faster Token Generation with DFlash

addresses the fundamental challenge of slow, sequential token generation in language model inference. DFlash speculative decoding support for CPUs was recently enabled in vLLM v0.25.0. In our testing with Qwen3.5-9B on an r8i AWS instance, powered by Intel® Xeon® 6 processors with Performance-cores, DFlash increased average token generation throughput to 3.92x that of the autoregressive …

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Sized for Fifteen Winners a Year · Hanh D. Brown

Venture Capital and AI: Sized for Fifteen Winners a Year. Old venture capital was a basketball team sized for fifteen winners a year. The redesign that scaled: share economics, centralize control, and grow sideways. ai-markets ai-strategy ai-economics For thirty years, every venture firm in the country was sized for the same number. About fifteen technology …

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Run Muse Glimmer for Local Vibe Coding with llama.cpp, DFlash, and Pi

Muse Glimmer is gaining attention in the local AI community and is being compared with Qwen’s 27B-class models. In many cases, it is performing better, especially for local coding and agentic workflows. Meta looks strong in the open-model space, and with a few more iterations, models like this could start competing closely with proprietary systems. …

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Distribution Decides Whose Values Win · Hanh D. Brown

Open Weights AI: Distribution Decides Whose Values Win. Open Artificial Intelligence models win distribution because they ship cheaper and modifiable. Distribution decides the global default. Values ride along with the winner. ai-policy ai-markets ai-safety Powerful countries are not picking the smartest Artificial Intelligence (AI). They are picking the cheapest one to deploy and the easiest …

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Why We Fine-Tuned SigLip (And Why That’s Not Always the Right Call)

This post was co-authored with Max Silfverberg (Data Scientist, AI Solutions Lead), Antti Hallavo (Lead AI Software Engineer), and Pontus Huotari (Lead Data Scientist). We work at Alma Media, a Finnish digital services, marketplaces and media company. One of our focus areas is developing AI/ML solutions for real estate listing services, where understanding image content plays an important role.  services handle hundreds of thousands of listings a year. Most of those come with …

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