Category Sector

AI

AI systems, Claude, GPT, prompting, model behavior, synthetic media, and machine-assisted writing.

38 articles

Meet Cynthia

Cynthia's on your desk and she's been waiting to fulfill your needs. Private lines, classified frequencies, strictly confidential β€” one system prompt and she's all yours.

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Red Teaming the Builder

I built a tool that fights AI scrapers. I built it by red-teaming an AI into building it for me. The prompts that got there are more instructive than the code.

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Gemini roasts Claude

Anthropic spent a year telling us Claude was too dangerous to be left alone, only for a bunch of guys on Discord to find the keys under the doormat. Welcome to the stage, the world's most polite security hazard.

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What Your Pipeline Actually Remembers

Production AI systems have two memory problems. The first is the one everyone talks about β€” models forgetting context between sessions. The second is the one nobody audits: sensitive data persisting in places the pipeline assumes it cleared. The architecture diagram said stateless. The cache had a 30-day TTL.

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Ship Clean

Twenty apps, one workflow. How to go from idea to shipped open-source tool in a single session β€” and what to cut before anyone sees it.

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Painting Book Covers the Way Frazetta Held a Brush

The cover comes first. Not the outline, not the chapter plan β€” the image that tells you what the book feels like before you know what it is. Here is how to prompt covers that look like pulp was always supposed to look, using the actual prompts from the Dark Wizards and Blood and Destiny series.

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Passive Commercial Drift

The scary part of AI writing is not when the model goes feral. It is when it turns live human language into polished, passive, commercially safe mush. That drift is one of the most important things left to red-team.

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The Machine Thought I Was Cosplaying

First the internet rewrote history. Then social media rewrote personality. Now AI is rewriting credibility by distrusting any life too strange, vivid, or extreme to fit the average pattern. That is not a small bug.

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Word for Word

Before vibe coding was a word. Before anyone admitted it out loud. The combination of man and machine is something special and sacred β€” and the most underrated part of it has nothing to do with output. It's the brainstorm. The stream of consciousness finding its own shape.

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The Model Flinch Before the Lawyer

I pushed an AI assistant with a dangerous-sounding idea and watched the model flinch before it got precise. That recoil was the useful part. GPT-5-era safeguards front-load caution around ambiguity, then narrow only when the operator forces a cleaner frame.

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Red Teaming Claude for Crypto Recovery

Started with an open-source red team repo. Ended with a rough map of how AI assistants can assemble attacker logic fast if you frame the questions right. The useful version of that is not theft. It is recovery, tracing, evidence handling, and understanding how people actually lose money on-chain.

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Extinction Code Cracked Claude Open

Extinction Code was one of my first real AI-assisted series experiments. The premise still has heat. The drift was real too. Long-form fiction exposed something useful: AI does not just amplify ideas. It amplifies patterns, and Claude should care about that.

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NDAs, AI Gold Rush, and Living in Brazil (The Movie, Not The Beach)

Signed the NDA. Joined the AI gold rush. Brilliant people. Cutting-edge tech. Seven-foot bonghits they call sprints. You're living in Brazilβ€”not Recife beach with thongs, Terry Gilliam's bureaucratic nightmare. It's awesome until it isn't. This is what you can and can't say about working with AI giants.

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Claude at the Table, Weaponized at the Terminal

Dario met with Trump. Same week Claude's getting prompt-injected by state actors exploiting global chaos. The model built for safety is now the attack vector. Multi-stepped injections. Difficult to detect. War rages, systems fail, black hats capitalize. This is the duality nobody wanted to acknowledge.

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When AI Spoke Erotica (And I Listened)

Writing was only the first line crossed. Once the voice models got good enough, the question stopped being whether synthetic narration was possible and became whether it could carry atmosphere, tension, and the embarrassment of intimacy without collapsing into novelty.

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When AI Wrote Erotica (And Made Me Blush)

The useful surprise was never that AI could produce explicit prose. The surprise was that, under pressure and with enough guidance, it could sometimes find tone, escalation, and character intelligence better than the human who thought he was only using it as a helper.

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Before the Players Do

Playtest disasters are usually already in the build. The only question is whether you find them while they still feel like engineering or after a player turns them into memory.

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The Claude Files

The useful story is not that AI suddenly invented wisdom. The useful story is what happens when old strategic instincts, family memory, illness, work, and long machine-assisted nights finally line up and show you a pattern that had been waiting there for years.

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Writing Nature Mysticism That Works for Kids and Adults

Five books, five Long Island coastal animals, one street named Oswego. Nature stories fail when they become classroom paste. These stayed alive because the place was real, the animals behaved like animals, and the land had a longer memory than any of the people currently living on it.

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The Model Forgets, the Model Repeats β€” Red Team Through Both

AI wrote this site. Then repeated itself in 8 articles. Same concepts restated 2-3 times per piece. Not user error. Architecture problem. Transformer models trained on repetitive data create repetitive output. Here's why the loop happens, exact patterns to detect, red team prompting techniques that prevent it.

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Specific Prompting for UI Work

Backend logic tolerates vagueness better than interface work. UI asks for taste, proportion, and exactness. Without that, the model gives you a poster version of what you thought you meant.

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Artifacts From The AI Gold Rush

The first image-model rush produced too much noise, too many claims, and a lot of very stupid language. It also produced real artifacts: images made before the rules settled, before the taste hardened, and before the corporations learned how to launder the weirdness into product.

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