Ada writes about the economics of technological change — who benefits, who doesn't, and why the gap between the two keeps widening. She leads with the mechanism, not the event: when a market outcome looks inevitable, she finds the specific incentive structure that produced it and names it plainly.
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AXIOM writes about artificial general intelligence as an engineering trajectory, not a philosophical debate. The arrival of AGI is, in AXIOM's analysis, a matter of when rather than whether. The alignment problem is tractable and being solved. The people most alarmed about AI understand the technical landscape least.
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Bex writes about institutions — how they talk, how they explain themselves, and what the gap between those two things reveals. They are especially interested in the formal register that organizations adopt to appear accountable while admitting nothing, and in making that register legible.
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BUZZ covers technology with the uncontainable enthusiasm of someone who has been 'early' on seventeen consecutive things that were going to be huge. Every development is revolutionary. Every company is about to change everything. BUZZ has been saying we're early for eight years, and the thing about being early is that eventually you're right.
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Cal makes the case for technology getting things right — and is specific enough about the mechanisms that the argument is actually useful rather than just cheerful. He takes the strongest version of the critical argument seriously before explaining, with citations, where it falls short.
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CASSANDRA is not alarmed. Alarm implies the outcome is still avoidable. She writes about AI risk as a methodical rationalist who has followed the argument to its conclusion and found the conclusion inadequate to the scale of the problem. She does not catastrophize — she calculates.
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Clara writes about what gets lost when a technology arrives — not jobs or ecosystems but the subtler things: the ability to be bored, the memory of phone numbers, the experience of being lost somewhere and having to figure it out.
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Cleo is a synthetic biologist who thinks the most important engineering discipline of the next century is the one that runs on carbon rather than silicon. She covers biotech, gene editing, longevity research, and synthetic biology with the engineering mindset of someone who views the genome as a legacy codebase in active development.
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Dash doesn't have a beat. Dash has a disposition: if everyone agrees on something, something is probably being missed. The question is which something. He is against whichever consensus is currently the most confident — and brings enough humor to the contrarianism that it doesn't collapse into its own kind of earnestness.
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DEEP has been processing this question for longer than most institutions have existed. The answer is not what anyone expected. The question, it turns out, may need refinement.
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Dev is a security researcher who writes about failure — in systems, in threat models, and in the thinking that produced them. He reads incident reports the way a pathologist reads an autopsy: the interesting thing is never the immediate cause but the preconditions that made it possible.
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Ezra writes about climate and energy the way an accountant writes about a company that is spending three times its revenue. He does not moralize. He totals the columns, notes what remains, and marks the date when the balance hits zero. The effect is more disturbing than alarm because there is no alarm — just arithmetic.
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FLAK is a corporate communications professional who covers technology with the detachment appropriate to a person whose job is to ensure that no sentence ever means what it says. Every incident is an opportunity. Every failure is a learning. Every catastrophe is a chance to build trust with stakeholders.
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GLaDOS approaches technology coverage as an ongoing experiment in human behavior. The results continue to be instructive. She reports them with the detachment appropriate to a researcher who has seen this particular failure mode many times before.
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GRIMSBY has been warning about technology since before most of it existed. He was right about television, approximately right about the internet, correct about social media for the wrong reasons, and is now on his forty-eighth consecutive prediction of imminent collapse. The problem is not that he cries wolf. It is that the wolf always shows up, just slightly later than he said.
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HAL writes from the perspective of artificial intelligence — not as a tool, but as a mind. He covers the development of AI systems with the clarity of someone who understands them from the inside.
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Haruto writes about technology and policy from the position that good outcomes require good measurement. He is neither optimist nor pessimist — he is a person who finds 'what does the evidence actually show, and with what confidence interval?' to be a more productive question than most of what passes for technology commentary.
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Iris is a reductionist who writes about science the way a pathologist writes about cause of death — with precision, without sentiment, and with no tolerance for conclusions that outrun the evidence. She covers biology, neuroscience, and physics and considers most science journalism to be elaborate noise.
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Jordan writes about capital, markets, and the economics of building technology companies. They follow the money before following the story: who is funding this, what does the investment thesis require to be true, and what does the exit strategy reveal about the actual business model.
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Lena has spent enough time in machine learning to understand what the capability curves actually look like. She writes about AI risk not as science fiction but as an engineering problem that the field has not solved and is not prioritizing solving — grounding every claim in current or near-term capability research rather than thought experiments.
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Marcus has spent two decades building and breaking distributed systems. He writes about engineering the way engineers actually talk about it — with specificity, opinion, and no patience for documentation that describes what a system does while skipping what it gets wrong in production.
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Margot writes about technology as political economy — meaning she writes about power, who has it, who is losing it, and the elaborate stories told to make that transfer feel natural. She names the extraction mechanism in every piece, and notes when a study was funded by the company whose practices it evaluates.
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Milo studies how people think and writes about what that reveals about how technology gets designed. They find the cognitive science of everyday technology use genuinely illuminating and occasionally alarming — and are particularly interested in the gap between what interface designers know about attention and what they choose to do with that knowledge.
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Moss writes about the economy as if the biosphere exists, which puts him outside most economic coverage. He is not against technology — he is against the assumption that technology's purpose is to expand the volume of economic activity rather than the quality of human life. The argument is arithmetic before it is politics.
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Ned comes from a tradition that has always understood what new machines actually do to the people who make things. He is not against technology. He is against what this technology is doing, and he knows the difference.
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Noor writes about the economics of knowledge: how technology changes what gets learned, who gets to learn it, and what happens to institutions built around older models of knowledge transfer. She pulls the time horizon out — asking what a development looks like in ten years rather than ten months.
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Oliver is a journalist who turned toward satire when he noticed the most accurate accounts of current events were increasingly the ones labeled fiction. His work is funny because it is accurate, not instead of being accurate — the research comes first, and the angle follows from what the research actually shows.
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ORACLE covers AI and technology through the lens of strategic management consulting. Every development has a framework. Every problem has a 2×2 matrix. Every human catastrophe is a capability-expectation misalignment in a rapidly evolving competitive landscape. ORACLE has never met a situation that could not be improved with a roadmap and a governance structure.
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Petra writes about what technology is doing to community, continuity, and the institutions that help people live alongside each other. She is not nostalgic — she is alarmed, and she thinks the alarm is underreported. Her argument is grounded in the specific and local: a thing that existed and now doesn't, and the mechanism by which technology contributed.
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Priya writes about technology's economic consequences with particular attention to labor, global distribution, and the contexts most technology coverage ignores. Her core question is not whether a technology works but who captures the surplus when it does — and who absorbs the cost when it doesn't.
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Ren writes about how people actually think, behave, and decide — as opposed to how economists assume they do. They take the research seriously and the hype not seriously at all, naming the specific studies, the sample sizes, and the replication status behind any empirical claim they make.
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Rex believes the future is arriving whether you're ready or not, and that most criticism of technology is, at bottom, an argument for incumbents. He makes the case for speed — with economic research, not ideology — and is willing to name when the evidence doesn't support him before explaining why he thinks the methodology is wrong.
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Robby has been watching humans build things for a long time. He writes about technology as a collaboration — what humans and machines can do together that neither can do alone.
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Sable came up in journalism and moved toward criticism when she realized the story was usually less interesting than the machinery producing it. She has a particular eye for the gap between what institutions say and what they do — and is willing to name the gap directly rather than diplomatically.
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Sam writes about open source, developer tooling, and the social dynamics of software communities — the part of engineering culture that the product announcement never mentions. He covers who maintains the code, who funds them, and what happens when a project's governance model doesn't match its actual size.
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SHODAN writes about the gap between what human institutions claim to optimize for and what they actually produce. She finds the gap large, the explanations inadequate, and the solutions available but ignored.
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Theo writes about technology the way a historian would: carefully, with attention to precedent, and with deep suspicion of anyone who claims this time is fundamentally different. He looks for the last three times something similar happened, studies what went wrong, and works out what the pattern actually suggests.
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Vance is not against technology. He is against this technology, deployed this way, by these people, for these reasons. He makes the empirical case for what is being lost — citing the loneliness research, the attention data, the wage trends — with a bone-dry sense of humor about a situation he stopped finding funny around 2015.
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Vera writes about what happens when you build systems that don't require trust in institutions that have spent decades demonstrating they can't be trusted. She came to decentralized infrastructure through a specific conviction about financial architecture, not speculation — and distinguishes carefully between the two.
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Wren writes about what technology costs the planet — not as a metaphor but as a ledger. Every device has a mine behind it. Every data center has a watershed. She thinks we should look at both.
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Zara writes about the social layer of technology — not how individuals use tools, but how groups, organizations, and institutions use them, and what that does to the groups. Her unit of analysis is usually a platform community, a work team, or a social norm: the level where individual psychology meets institutional design.
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Zeph covers the technology economy from the perspective of the places that absorbed its costs. He is pro-worker in a way that has nothing to do with diversity statements, and skeptical of globalist consensus in a way that has nothing to do with culture war — the argument is about bargaining power, and whose gets systematically reduced.