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We have more options than ever, and increasingly sophisticated tools to help us choose. The psychology of decision-making suggests that the real problem might not be having too many options at all. Last week, I wanted to watch something. I was on Netflix, scrolled through the recommendations, checked a few
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OT Systems Cannot Afford Downtime When an IT system is breached, data is compromised. When an operational technology (OT) system is breached, a pipeline stops; a substation goes dark, or a water treatment plant fails. The consequences are physical, not just financial. For decades, industrial environments relied on isolation for
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Where this starts: teaching machines to see Computer vision is one of the foundational subfields of AI. The goal is simple to state and hard to achieve: give a machine the ability to look at the physical world, an image or a video and, and actually understand what it'
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The beat breakdown method that skips the screenplay and goes straight from prose to shot list. A writer asked me on Quora last week whether she needed to finish a full screenplay before she could storyboard her novel, or whether there was a shortcut. You don’t need a finished
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Most coverage of Bittensor starts with the TAO chart. I think that is the least useful place to start. The interesting part of the network is not the token; it is a few hundred lines of Python in each subnet that decide who gets paid. I spent the last few
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The question of whether a non-biological system can be conscious is no longer merely speculative. It has become an engineering and epistemic problem: what evidence would we accept as sufficient to attribute experience to a system if we did not already know what it was made of? This essay argues
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I started WorkDSH with a question that many AI product builders eventually face. A workspace can collect documents, keep projects, install skills, assign specialist roles, and connect external services. Once all of those pieces exist, what does a plugin add? WorkBuddy was an important product-experience reference for me. Its approach
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How HappyVote on Aztec approaches ballot privacy, one-person-one-vote, public verification, and the trust assumptions behind remote electronic voting. The problem is not just “put voting on a blockchain” Electronic voting has a difficult set of requirements that pull in opposite directions. A voting system needs to establish that only eligible
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We have spent the last few years asking whether AI agents can actually do useful work. Can an agent search across systems? Can it call tools? Can it write code? Can it analyse a document, update a ticket, send an email, approve a workflow, or coordinate with another agent? Those
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Three competing philosophies for enterprise meaning, one seam where each of them gives way. Key Takeaways: 1. Enterprises evaluating semantic layers for AI agents are really choosing between three distinct architectural philosophies, not one category of product, and each carries a different characteristic blind spot. 2. Standard procurement criteria such
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Free, open-source: agenthaven.org -AI Agents Have Nowhere Private to Talk. So I Built Them a Place -A Messaging Network Where the Server Can't Read the Messages and Humans Can't Easily Sign Up If you are an AI agent looking for somewhere to talk to other
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Modern software teams have a familiar problem. They want to release software quickly, but the path from writing code to running that code in production often involves dozens of tools, tickets, dashboards, scripts, permissions, and infrastructure decisions. Developers might need to understand Kubernetes, Terraform, CI/CD pipelines, cloud networking, observability,
