kairox

Not a IMG STONKIMG

THIS IMAGE DESERVES TO BE THE FACE OF CRYPTO. Millions of traders spend their lives staring at charts, trying to predict the next move. Meanwhile, this absolute unit is sitting in VIP, sipping champagne and moving the entire market with one thumb. $WHALE 🐋

lets help

og!

A KID GREW REAL MOSS ON A HAND-SOLDERED CIRCUIT BOARD, SAT A LADYBUG ON THE BUTTONS, AND QUIETLY TURNED IT INTO A $249 PRODUCT WITH A FULL PITCH DECK — WHILE MOST FOUNDERS ARE STILL RENAMING THEIR STARTUP FOR THE 4TH TIME THIS MONTH Living green fuzz over bare protoboard. A blue waveform breathing on the OLED. A speaker, an ESP32, and a bug just chilling on the board. Pause at [0:01] — that mossy thing in his hand is the exact object that ends the clip as the mixikid MX-01 pre-order page. Proto → industrial sketches → custom PCB → 3D-printed shell → brand deck. He typed it into Accio Work, got a ready-made pitch, and aimed the whole thing at a $1,000,000 prize pool. Everyone has "an idea for a device." Almost nobody walks in holding the device. You're not blocked by talent. You're blocked by the weekend you keep not starting. Alibaba.com CoCreate Pitch 2026 is open. Bio link. Full build below.

THIS CHINESE GIRL STARTED EARNING 10K A MONTH AFTER SHE DESIGNED A MINI WEATHER STATION FOR THE HOME AND STARTED SELLING IT Everyone's still arguing about whether AI can actually build things. This 39-second clip is the quiet answer. She described a weather device to an AI agent — and it planned the hardware, wrote the firmware, and helped model the 3D case. Full build, timestamped the unlock 0:16 — Watch the editor. She types: "help me plan a device for weather, i have an esp32 and a screen, maybe a servo." The agent hands back the full architecture — breadboard first, headers not solder, button cycles cities, serial logs to debug. A week of forum-crawling, gone.

$71,000 last quarter. A guy at a bar showed me an influencer who doesn't exist. He built her with two apps and one prompt — her height, her tattoos, the gap in her teeth. The model filled in the rest. Her followers think she's flying to Bali next week. There is no her. 9,000 people pay $9 a month to see her "private" posts. Week one: $400. Month six: $71,000. He said the only thing he agonized over was her name.

Everybody benchmarking the $2,000 Mac Mini M4 Pro for local AI is shopping in the wrong aisle. The box that runs Llama 3.3 70B in your apartment was decommissioned by a Fortune 500 two years ago. It's sitting on a liquidation pallet right now, and it costs less than half the Mac. I track the hardware that quietly slides from "enterprise-only" to "anyone with $700" — usually before the timeline catches on. This one's mid-flip. 1/ The switch nobody announced Enterprises don't keep servers. They depreciate them. A bank buys an HP ProLiant DL380 Gen10 for ~$13,000–15,000 in 2018, writes it down to zero book value over five years, and by 2023–2024 it's a tax line, not an asset. Then the refresh wave hits and they dump the old fleet — by the truckload — onto refurbishers. That's why a Gen10 with dual Xeon Gold 6248 (40 cores) and 256GB of DDR4 ECC now trades refurbished for roughly $400–600 in 2026. Same chassis. Same silicon. A 96% haircut, paid by someone else's accounting cycle. You're not buying old hardware. You're buying the moment a depreciation schedule and an open marketplace collide. 2/ The build that does the work The trick isn't the server — the server is cheap RAM, cores, and PCIe slots. The trick is what you bolt into it. A used NVIDIA Tesla P40 (24GB VRAM) runs ~$250–400 depending on how lucky you get. It's a datacenter card: passively cooled, no fan of its own, no video output. It wants the chassis airflow (or a 3D-printed shroud + a blower) and it just works once it's fed air. Two honest tiers, because the VRAM math is the whole game: One P40 (24GB) ≈ $650 all-in. Comfortably runs 32B-class models at 4-bit (Qwen2.5 32B and friends) at a genuinely usable clip. This tier really is a third of the Mac. Two P40s (48GB) ≈ $900–1,100 all-in. This is what actually holds Llama 3.3 70B at 4-bit (~40GB of weights). On my build it generates [your measured X] tokens/sec — expect high single digits on Pascal. Still under half the cost of a 48GB-class Mac Mini that can hold the same model. The headline everyone copies — "70B on one $250 card" — is the part that isn't true. 70B needs the 48GB tier. Say it out loud and you've already beaten 90% of the threads. 3/ The honest comparison (read this before you buy anything) This is where the Mac Mini wins, and I'm not going to pretend otherwise. Power. The Mac idles around 5–10W and sips under load. The DL380 idles closer to [your measured ~150–200W] and spikes to 350–450W mid-inference. Over four years that gap is a real number on your electricity bill. Noise. A 2U enterprise chassis ramps its fans hard for a GPU it doesn't officially recognize. Expect [your dB reading] — somewhere in hair-dryer territory under load. The Mac is silent. Footprint. One is a rack box that lives in a closet. The other sits on a desk and looks like furniture. Speed where it hurts. Pascal is slow at prompt processing. Long contexts crawl next to Apple silicon. And here's the uncomfortable part: the M4 Pro's memory bandwidth means it isn't dramatically faster on 70B either — this is a $/VRAM win, not a speed win. The warranty asterisk. A reseller warranty covers the chassis. It does not cover the third-party P40 you bolted in. If the card dies, that's your problem, not theirs. Don't let a "5-year warranty" line do work it isn't doing. If you want silence, low power, a clean desk, and zero BIOS/cooling/Linux fiddling — buy the Mac. That's not a cope, that's the right call for a lot of people. 4/ Who this is actually for You're buying the same capability the cloud rents back to you — minus the monthly markup, plus a power bill and some fan noise. That trade makes sense if: you want 48GB+ of local VRAM without paying Apple's unified-memory tax, you're fine with a box in a closet that you SSH into, and you'd rather own the iron than pay a subscription that goes up every quarter. The depreciation cycle that floods datacenters with new GPUs is the same cycle dumping last-gen enterprise iron onto the open market for pennies. That window doesn't stay open forever — Gen10 supply is finite and the local-AI crowd already noticed P40 prices (they've been climbing for two years). If this saved you from an impulse buy: Save it for when you build, Like it so the next person sees it, and Follow — I find these before they go mainstream. // I find these before they go mainstream. Follow — @kairox_og //

$200/MONTH FOR AI CODING IS NOW A CHOICE, NOT A REQUIREMENT. A FREE DOWNLOAD JUST LANDED WITHIN 7 POINTS OF IT. The benchmark table in this thread says K2.7-Code sits a few points behind GPT-5.5 and Opus 4.8 on most rows. But watch the attached clip — on the actual 3D water-surface sim, the open-weights model produces the cleanest result of the four. That's the real story: the visible output gap is now smaller than the score gap suggests, and almost nobody has repriced their stack for it yet.

This young boy from China Turned Old Phones Into a 3D Printer Farm Manager. Now I Make $10k/month While I Sleep Sounds insane. Here's how it works. The setup: 12 printers running 24/7. Each prints replacement parts — oven handles, coffee gears, vacuum clips. Cost per part: $0.10–0.30 Sell on Etsy: $15–40 Margin: 95%+ The problem? Managing 12 printers is a full-time job. Failed prints. Filament jams. Order tracking. I didn't want a job. I wanted a system. The solution: Old Android phones. $30 each. Running an agent swarm. Each phone monitors one printer: - Camera checks every layer for errors - AI detects failed prints → pauses the job - Auto-queues the next order - Sends me only "pack this" notifications No babysitting. No midnight jams. Just printers running and money stacking. The math: 12 printers × 10 parts/day = 120 parts 120 parts × $25 avg sale = $3,000/day revenue Materials: ~$50/day Net: $2,950/day That's $10,000+ every 4 days. Phones handle: monitoring, failure detection, queuing, inventory tracking. I handle: packing, shipping, collecting payment. What this actually costs: - 12 printers × $300 = $3,600 - 12 phones × $30 = $360 - Filament: ~$600/month - Total setup: ~$4,000 First month revenue: ~$10,000 ROI: Month 2. The honest part: This isn't passive to start. You research what breaks. You test files. You set up Etsy. But once the system runs? It compounds. Old files keep selling. Printers run overnight. Phones manage everything. Nobody posts screenshots of replacement gears. They're not sexy. That's why it still works. Most people buy a printer and print toys. Smart people build farms and print money. Follow for the full agent setup guide.

"Quit your job, let AI run your business" — slow down. This 23-year-old guy from Florida quit his job and turn ai-farm into $10K/month — just by selling these tools to clients Here's the unsexy version that actually compounds: boring single-purpose tools, evergreen search, AdSense that never stops. No hype, real numbers, real timelines.

Hehe, what a luck

same shit when 5th of november ?!?

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this might be the cutest thing i’ve ever seen. like… ever and she have page tiktok.com/@it.is.me.kaia

Got rugged, bought the top, and somehow still here degening harder than ever. If that's not pain, I don't know what is. 🫠💔 #painfession @PAIN