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Run the future before it happens. LLMs predict the next word, not the next week. MiroShark casts everyone with a stake in your scenario as an agent - each with their own incentives. They post, argue, bet, flip. Ten minutes later, you get a report on how it played out.

MiroShark 🦈

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66,939 görüntüleme • 1 ay önce •via X (Twitter)

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Two girls, arms overhead all day, plastering a ceiling in perfect sync and it makes them around $12,000 a month between them, mostly from filming it. Anyone who's done overhead work knows it's the worst position in the trade — arms up, neck back, shoulders burning inside ten minutes. Most people tap out. These two do it for hours, side by side, matching each other's pace like they share a brain. That's the thing you can't look away from: not just that it's two women on a ceiling, but that they're in rhythm doing the part everyone else dreads. Here's why the pair matters more than people think. A solo worker is a clip you watch once. Two people moving in sync — no talking, just anticipating each other — is a relationship, and relationships are what turn a viewer into a follower. You're not watching a task get done. You're watching a partnership work, and that pulls people back for the next one. The money runs three ways off one phone. Their calendar stays booked because homeowners watch the finish and hire them at full rate, zero ad spend — the video sells the work. Tool and material brands pay $3 - 5k a post to get their gear in genuinely skilled hands. And views, often 5-10 million a clip, stack payouts on a phone one of them wedges on a bucket. Neither of them edits. They film the shift, hand it to AI, it grabs the tightest synced stretch, cuts it to the beat, captions, schedules. They're onto the next room before it posts. The reframe for anyone doing hard work: the part of your job that's physically brutal — the part you assume nobody wants to see — is exactly what people respect watching. Struggle that looks effortless is magnetic. Doing it in sync with someone else doubles it. Do you work with someone you're so in sync with you barely need words? Drop it below — I'm breaking the best ones down next.

Two girls, arms overhead all day, plastering a ceiling in perfect sync and it makes them around $12,000 a month between them, mostly from filming it. Anyone who's done overhead work knows it's the worst position in the trade — arms up, neck back, shoulders burning inside ten minutes. Most people tap out. These two do it for hours, side by side, matching each other's pace like they share a brain. That's the thing you can't look away from: not just that it's two women on a ceiling, but that they're in rhythm doing the part everyone else dreads. Here's why the pair matters more than people think. A solo worker is a clip you watch once. Two people moving in sync — no talking, just anticipating each other — is a relationship, and relationships are what turn a viewer into a follower. You're not watching a task get done. You're watching a partnership work, and that pulls people back for the next one. The money runs three ways off one phone. Their calendar stays booked because homeowners watch the finish and hire them at full rate, zero ad spend — the video sells the work. Tool and material brands pay $3 - 5k a post to get their gear in genuinely skilled hands. And views, often 5-10 million a clip, stack payouts on a phone one of them wedges on a bucket. Neither of them edits. They film the shift, hand it to AI, it grabs the tightest synced stretch, cuts it to the beat, captions, schedules. They're onto the next room before it posts. The reframe for anyone doing hard work: the part of your job that's physically brutal — the part you assume nobody wants to see — is exactly what people respect watching. Struggle that looks effortless is magnetic. Doing it in sync with someone else doubles it. Do you work with someone you're so in sync with you barely need words? Drop it below — I'm breaking the best ones down next.

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These product images weren’t made with a carefully crafted prompt. They were created by an AI Agent from EasyClaw EasyClaw that asks the right questions, understands what you need, and handles the heavy lifting for you. This is what it gave me. The complete workflow is in the next post 👇

Jessica Collins

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Some guy ran 4 AI agents. 4 sports. $500 each. One week. > NERVE (tennis): $500 → $3,200 (+540%) > PHANTOM (NBA): $500 → $2,928 (+486%) > FROST (hockey): $500 → $2,474 (+395%) > SIEGE (soccer): $500 → $2,182 (+336%) The edge? While ESPN shows you the score with a 15 second delay, these agents see it in 500ms and trade before the market moves. $2,000 in. $10,784 out. The worst agent still returned 218%. THEY DON'T PREDICT BETTER. THEY JUST MOVE FASTER THAN EVERYONE ELSE. credits to Archive

Some guy ran 4 AI agents. 4 sports. $500 each. One week. > NERVE (tennis): $500 → $3,200 (+540%) > PHANTOM (NBA): $500 → $2,928 (+486%) > FROST (hockey): $500 → $2,474 (+395%) > SIEGE (soccer): $500 → $2,182 (+336%) The edge? While ESPN shows you the score with a 15 second delay, these agents see it in 500ms and trade before the market moves. $2,000 in. $10,784 out. The worst agent still returned 218%. THEY DON'T PREDICT BETTER. THEY JUST MOVE FASTER THAN EVERYONE ELSE. credits to Archive

0xMarioNawfal

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THAT $70 "RUN YOUR OWN LLMS" PI KIT CAN'T RUN A SINGLE LLM. IT'S A VISION CHIP WITH NO RAM. that clip sells a raspberry pi 5 in a slick case with an ai accelerator and the caption "your own llms." clean build, fun kit. the claim is where it breaks. the fine print: the popular $70 pi ai kit uses a hailo-8l, 13 tops. it's built for vision, object detection and image processing, and it has no memory of its own. so it cannot run large language models. full stop the board that actually can is a different one: the newer ai hat+ 2, hailo-10h, 40 tops, with 8gb of dedicated ram. that's $130, not $70 and even that runs only tiny models. llama 3.2 at 1b, qwen 2.5 at 1.5b, deepseek r1 at 1.5b. edge llms live in the 1-7b range, against cloud models at 500b to 2 trillion so the honest pitch: for $130 you can run a very small language model on a pi, slowly, as a fun learning project. that's real and it's cool. "your own llms" on a $70 vision kit is not. why this keeps happening: "ai kit" and a big "tops" number sell. tops sounds like intelligence. but tops measures vision-style math, not whether the chip has the memory to hold a language model. the spec that matters for llms is ram, and the cheap kit has none. the honest caveats, both ways: the $70 kit is genuinely great, just at vision. cameras, object detection, that's its job the $130 hat really does run small llms locally, which a pi couldn't do at all two years ago. that's progress "small" is the load-bearing word. don't expect gpt at home on a pi the takeaway: before you buy a kit because the caption says llm, check two numbers. not the tops. the ram, and the size of the model it can actually load. no 70-dollar miracle, no gpt in a pi case, no tops number that means what you think. save this before you buy the wrong kit for the word on the box.

RetroChainer

11,100 görüntüleme • 1 ay önce