
Nekt0
@Nekt_0 • 4,075 subscribers
ai builder | polymarket traider | coder
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Andrej Karpathy just said your kids should ignore most of school. "80% of education should be math, physics, CS." Not because it's useful - because it carves grooves in the brain. Grooves that get harder to carve the older you get. In a pre-AGI world: it gets you a job. In a post-AGI world: it makes you a functioning, empowered human. Everything else? Tack it on later. The cognitive foundation is the only foundation that survives the transition.
Nekt01,913,475 görüntüleme • 2 ay önce

A Robinhood Chain receipt machine that remembers what the changelog forgets. It's called RUMZO. Most tools show you a builder token's chart. RUMZO shows you its commits and its contract at the same moment, then saves the proof so the story can't be rewritten later. [give it a token address and a public GitHub repo] → Pulls source, tests, docs and manifests at one pinned commit. → Reads launch stage, fees, buyback and locker flags at one pinned block. → Saves both sides as a receipt with commit, block number and observation time. → Run it again later and it diffs the two receipts. If a dev says the tests are done, the fees changed or the locker is on, RUMZO does not read the announcement and guess. It already has the receipt from last time. Which source files changed, whether tests and docs moved with them, which contract settings flipped in between - all of it side by side. Missing data stays marked unknown, nothing gets filled in. Local web UI, a CLI, JSON and Markdown exports. And the whole thing is intentionally READ ONLY. No wallet. No signer. No repo code executed. No buy button. Small raccoon. Lots of receipts. Open source, repo in the first reply ↓
Nekt057,088 görüntüleme • 15 gün önce

A 2TB HOME AI SUPERCOMPUTER CAN RUN MODELS MOST PEOPLE STILL RENT FROM THE CLOUD The video is not about a clean desk setup. It is a local AI rack: multiple mini-machines stitched together, 2TB of memory, enough compute to run heavyweight models like DeepSeek 671B without asking AWS for permission every hour. That matters because the cloud version of AI looks cheap until you use it like infrastructure. Agents running all day. Private docs. Long context. Local storage. Experiments. Fine-tuning. Automation. Suddenly the bill is not $20/month anymore. This setup is the opposite trade. Pay upfront, own the machine, keep the data local, and stop treating every serious AI workload like a subscription meter. The article is pointing at the same bigger shift: serious builders are moving from "which chatbot is best" to "where does my intelligence actually run." Cloud is convenient. Local compute is control. The next edge is not just better prompts. It is owning the box that keeps thinking when the browser tab is closed.
Nekt054,445 görüntüleme • 2 ay önce

Stop thinking you need an OnlyFans account to make $7,000 a month online This girl is quietly generating more than $34,000 in monthly sales from a high rise apartment in Dubai She starts by finding a product on Amazon with strong demand that's already selling well for around $25, such as a basic dog carrier bag Then she goes to Alibaba and finds a manufacturer selling virtually the same product for less than $4 per unit Before the products are shipped, she asks the supplier to add her own logo and branding Once that's done, she lists the product on Amazon under her own brand and keeps the margin between her costs and the final selling price You can keep saving videos like this and telling yourself you'll start someday or you can take action and launch your own brand tonight
Nekt058,119 görüntüleme • 3 ay önce

A 26-year-old guy from China runs an agency that gains over 1,000,000 followers a year, and not a single one of his streams is actually live. he started as a real streamer, on camera every night, and made almost nothing. the moment he stopped, the caps stopped. a shop that closes when you sleep isn't a business, it's a shift. so he stopped going live. he built a rig that only looks live: > two vertical 4K monitors looping a clean pre-recorded product demo > phones on tripods filming the screens through anti-moiré glass > TikTok Shop links wired to every "stream" > one operator minding a rack of them instead of a camera the trick was never the tech. it was the reframe: a live-commerce stream never had to be live. it had to sell. a good demo, looped clean, closed the same at 4am as it did at noon. then he ran it for other people. brands handed him their catalog, he spun up always-on storefronts across a dozen accounts, and took a cut of every sale the loops closed. the $100,000 a year didn't come from being on camera. they came the night he realized the camera was the only part that needed a human, so he removed it.
Nekt021,566 görüntüleme • 2 ay önce

THIS IS HOW A $10K/MONTH PRODUCT CONTENT PIPELINE GETS BUILT FROM 1 REFERENCE IMAGE AND A JSON PROMPT The video is not about "better prompting." It is a very simple cheat code: find an image with the exact lighting, color grade and camera feel you want, make AI reverse-engineer the style into a detailed JSON, then feed that structure into Nano Banana Pro with your own product. That is the part people keep missing. They write vague prompts like “make it realistic” and blame the model when it produces plastic garbage. The better workflow gives the model a style contract before asking for the final image. One reference image becomes the art director. The JSON becomes the brief. Your product becomes the asset dropped into a visual language that already works. This is how a solo operator can sell 20-30 "premium" product shots a week without owning a camera, renting a studio or touching a lighting rig. At $150-$300 per image, that is a $3K -$9K/week offer if you can bring clients. Not guaranteed. But the math is why this workflow matters. The article is the same business model underneath: AI output gets valuable when you stop asking for random generation and start building reusable instructions that copy proven formats. No photographer, no studio, no lighting setup, no retoucher, no 12-round creative call. Just reference, extraction, structure and execution. The prompt does not make the photo look expensive. The stolen style system does.
Nekt014,833 görüntüleme • 3 ay önce

THIS GIRL RECREATED A LUXURY BRAND STYLE STORE IN ONE DAY USING CLAUDE WHILE STUDIOS CHARGE $7,000 FOR IT Everyone assumes launching a high end e-commerce store needs months of work and a team of expensive developers In the video she shows how she simply asked the AI to recreate the look and feel of a luxury retail site as a reference. The result is striking, Claude output a complete HTML file with matching layout, product cards, and a premium grid structure No manual code, no frontend developer, just the model working from a visual reference. To turn it into an actual working store, she just asked Claude to integrate that design into Shopify Here's where it stings for brand owners. A custom Shopify build with this kind of design runs at least $4,000 and blows through every deadline. With Claude you spend one evening and $20 on a subscription and walk away with a fully working store Drop a save on this before developers start flooding it with reports
Nekt012,607 görüntüleme • 3 ay önce

This guy is setting up passive income for the rest of his life by selling digital books on Amazon While you are stuck at a 9 to 5, he uses a software called Book Bolt to find high demand, low competition products that people are already searching for He doesn't even write or draw anything himself. He just uses Midjourney AI to generate images for a coloring book and drops them into Canva Amazon handles all the traffic and customers and he just collects the passive income indefinitely You could launch your own AI generated book empire tonight with zero inventory and zero upfront cost But you'll probably just keep scrolling and ignore the easiest wealth hack of the year
Nekt012,503 görüntüleme • 3 ay önce

A GUY IN CHINA CAN TURN ONE BASIC BODY CAM INTO A $3K/HOUR AI GIRL STREAM He moves on camera, and the girl underneath mirrors him almost perfectly. Same hands, same rhythm, same timing, different identity. That is the real unlock. The operator keeps the control, but the attention goes to the synthetic character. The article was about AI models becoming profitable assets, not pretty JPEGs. This clip shows the live version of that business. One man supplies the motion. AI supplies the face, body, voice, background and language. The platforms supply the lonely audience with a donation button. If one stream pulls $500, $1,000 or $3,000 in tips, the economics get stupid fast. No model split. No agency. No shoot. No creator schedule. Most people see a weird Chinese demo. The smarter read is worse: AI just turned human motion into monetizable identity. The man is not the product anymore. The character layered on top of him is.
Nekt012,034 görüntüleme • 3 ay önce
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