Monday, March 9

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I mapped 137 AI tools and how they actually connect in real workflows
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I mapped 137 AI tools and how they actually connect in real workflows

I've been building an interactive map of the AI tool ecosystem — not just a list, but a visual graph that shows which tools connect to each other and how people actually chain them together in workflows. Some things it does: Interactive graph — 137 tools plotted by category with 281 connections between them. Click any tool to see what it integrates with. 25 real workflows — step-by-step breakdowns like "AI SEO Blog Factory" or "Podcast Production Pipeline" that show you which tools to use at each stage and how the output of one feeds into the next. Quiz + AI advisor — answer a few questions about your use case and it recommends a full stack, not just a single tool. Side-by-side comparisons — 204 comparison pages (Cursor vs Copilot, Jasper vs Copy.ai, etc.) It's free, no login, runs entir...
How long do you think before pornstars are completely replaced by AI?
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How long do you think before pornstars are completely replaced by AI?

TLDR: Adult stars are quickly finding themselves out of work. Given the rise of AI generated porn within the last few years and how quickly it has improved in that time, adult entertainers like pornstars and Onlyfans creator will likely be completely replaced by Artificial intelligence within the decade. AI porn already is generating almost half of the adult star industries 140+ billion dollar a year revenues with an estimated $65.5 billion in 2024 and that number growing each year. AI already has replaced most of interactions within the adult chats and their videos can now be found on all the top porn site like pornhub. The days of stars getting rich from making content are quickly coming to an end, already are gone are the days where a woman could becoming a millionaire through a single ...
Unpopular opinion: most AI agent use cases are productivity theater
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Unpopular opinion: most AI agent use cases are productivity theater

Watched a Chase AI video where he breaks down six "life-changing" OpenClaw use cases. Second brain, morning briefs, content factories, the usual. His take: , They all fall apart under basic scrutiny. I agree. The pattern is always the same. Impressive two-minute demo. Zero discussion of what it actually takes to make it work daily. Zero mention of cost. OpenClaw runs continuous sessions, so every task drags your entire context history with it. Your token bill adds up fast. The irony is the most technical people, the ones who could actually make it work, are the ones who immediately see simpler ways to do the same things. The audience getting hyped up is the least technical group. And they're the ones who'll hit a wall. Credit to Peter for building something clever. It's a tinkerer's sandbo...
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