Seeker

@N01ennn bro bought a datacenter and put it on a desk

ONE NVIDIA DGX SPARK PACKS 128GB OF UNIFIED MEMORY AND 1 PETAFLOP OF AI COMPUTE FOR $3,999, THE SAME COST AS A SINGLE RTX 5090 WITH FOUR TIMES THE VRAM AND A FULL LINUX AI STACK PREINSTALLED 00:03 he holds it up to the camera, "personal AI super computer, fully geeking out", the DGX Spark sits in one hand, about the size of a paperback book inside the chassis is the NVIDIA GB10 Grace Blackwell Superchip. 128GB of coherent memory shared between the ARM CPU and the Blackwell GPU, 4TB of Gen5 NVMe storage, ConnectX networking at 200 gigabits per second for pairing two units together that pooled configuration runs a 200B parameter model on one unit, or up to 405B when two DGX Sparks link over ConnectX. no quantization compromise, no memory swapping to disk, everything in unified memory for local AI this is the first CUDA machine that fits on a desk and still runs GPT-4 class open models. every framework already speaks CUDA. no porting, no rewrites, no driver quirks $200 chatgpt pro and $200 claude code max stacked at $400 a month hits $4,800 a year. this box pays itself back in ten months and never expires 128gb of unified memory, 1 petaflop of AI compute, 200B models running on your desk without a datacenter subscription behind them. the article ranked the $4,199 Mac Studio as Device 4 for a single household. this lands under it at $3,999 with CUDA baked in bookmark this and read the article below

@melfoy_work bro distilled Fable into three files

Fable 5 runs for 11 days. One builder used it to write 3 files. The files still run. The model is gone. Marcus, 38, warehouse supervisor in Dayton. Kids in school, mortgage, $19/hour. Spent a Sunday building a spreadsheet factory instead of watching the game. He used Fable once - architect role only. It built the product, then he made it write down how it did it. One skill file. Committed to GitHub. Switched to Haiku. Ran the same build. Cents. His wife asked why he was still at the laptop at midnight. «Building something.» «Another one of those things?» By month two: 20 listings. $600 a month. Haiku running while he slept. By month four: $2,000. Approvals take 10 minutes a day. Fable is gone now. The 3 files are still in the repo. The brain was rentable. The playbook is his.

@yurshevv the cloud is just a monthly GPU rental with better marketing

Most people are paying $200 to $300 every month to rent AI. Someone else just bought the machine once and stopped paying. That's the shift almost nobody is talking about. Everyone argues about which AI model is the smartest. Almost nobody asks a better question. Why are you renting compute every single month? A used RTX 3090 costs around $700. A Ryzen AI mini PC around $1,500. After that, your AI runs in your own home. No monthly subscriptions. No sending sensitive files to the cloud. No waiting for usage limits to reset. Is it better than Claude or ChatGPT? No. Frontier models still dominate for the hardest reasoning, research and coding. But here's what surprised me. Around 80% of what most people do every day doesn't actually need the most powerful AI in the world. Writing. Summarizing. Transcribing. Automation. Content repurposing. Email. Simple coding tasks. A local model handles all of that surprisingly well. The math gets interesting fast. A lot of people quietly spend over $3,000 every year on AI subscriptions. That same money can buy hardware that keeps working for years. We're moving from renting intelligence.. to owning it. And I think that's going to be one of the biggest shifts in AI over the next few years. The question isn't whether local AI replaces the cloud. The question is how much of your monthly AI bill you actually need. If you could cut your AI costs by 70% tomorrow, would you do it, or would you keep renting?

@0xCristal features don’t close deals, spreadsheets do

STOP SELLING THE AI. START SELLING THE $60,000 RECEPTIONIST IT REPLACES most people trying to sell AI agents make the same mistake. they get on the call and start pitching the system. how advanced the tech is, how it's the latest model, how the automation works under the hood. the prospect nods and then ghosts the tech is never what closes. the problem it kills is what closes here's the reframe this guy breaks down. don't open with 'look how good the AI is'. open with a question: how much are you spending on a receptionist right now because the second you lead with capability, the buyer gets stuck on price. you say fifteen grand up front and their brain screams 'why would I spend that much on an AI solution'. dead on arrival but flip the frame and the whole call changes. a human receptionist runs you around $60,000 a year, salary plus everything around it. now you're not the expensive option. you're the cheap one the AI doesn't miss calls. it doesn't put four out of five callers on hold. it doesn't quit, call in sick, or need managing. it just answers, every time, for a fraction of a single employee's cost suddenly 15k doesn't sound like a high ticket. it sounds like a rounding error against the pain you just made them feel that's the entire game. you're not selling software. you're selling them out of a problem that's already bleeding them money every single month the ones closing these deals aren't the ones with the best demo. they're the ones who make the prospect do the math on what staying the same actually costs sell the hole in the boat. not the bucket

@0x_fokki Curious how much founder time is lost to admin overhead today

A 21-year-old went from a finished game to a live App Store listing, under a real US company, in 3 days Most devs lose 6 to 8 weeks right here, and most quit somewhere in that window Claude Code built the game over a weekend. then one config file built the company behind it naive.config.ts declared the studio, and naïve provisioned an LLC, an EIN, a card capped at $200 a month, a domain inbox, and a US number He confirmed the LLC and card by email, then went back to iterating on the game The build and the paperwork ran in parallel. he never stopped coding to file forms One LLC now, and game 2 and 3 ship under it for almost nothing Every config he used is in the article

@0xWast3 Betting a career on projected player conversion carries real risk

A SENIOR DEV QUIT HIS BIG TECH JOB THE DAY GTA 6 WAS ANNOUNCED TO BUILD A PRIVATE SERVER EMPIRE When the trailer dropped, most people were just hyped to play. He was calculating the massive upcoming demand for custom infrastructure. He left his corporate role to generate highly detailed custom maps and complete server frameworks from scratch. Instead of using standard, clunky menus, he engineered the infrastructure with high-fidelity UI panels, using sleek glassmorphism and neon pink and purple gradients to give the entire server a premium, next-gen feel. He listed the full server packages on Tebex, immediately capturing server admins who are scrambling to build their communities before the release. Now that his own catalog is fully established, he is actively teaching other developers his exact generation workflow so they can capitalize on the 150 million players arriving soon. See the process he uses to build and deploy these maps below👇

@ridark_eth people keep announcing Messi’s decline like a yearly tradition

Some said 39 was the finish line. Some said this tournament was one too many. Messi just answered them the only way he knows how. One touch with the outside of the boot. Top corner. His 7th goal of this World Cup and the Golden Boot lead ripped straight back out of Mbappé's hands. But the number that stops you cold is this one: it was his 20th career World Cup goal. No man in history has ever reached it. He's also scored in 8 straight World Cup matches now, another record and he's the first player ever to find the net in every round the tournament has. At 39. In what everyone keeps calling the last dance. The @1winPro Golden Boot market feels the shift: → [48]% now back Messi to finish top scorer → [42]% still ride with Mbappé → [65]% believe Leo ends on 9+ goals Me? I don't bet against the GOAT in July. And here's the twist -> Mbappé gets the ball tonight vs Paraguay. The lead you see right now might not survive the night. Two legends, one boot, separated by a single goal. Who's your Golden Boot pick -> Messi or the field?

@rewind02 Apple users discovering distributed systems via cables

Apple MLX research scientist Tatiana: "Four M3 Ultras connected with Thunderbolt 5 cables, RDMA enabled, one command to launch and now you have a local AI cluster running models no single Mac could handle alone." in 20 minutes Apple's own team shows how to turn the Macs sitting on your desk into a distributed local AI server no cloud, no GPU rack, just Thunderbolt cables and a JSON file - why one command (mlx.launch) auto-discovers your cluster topology, configures RDMA, and generates your hostfile - running Llama 3 405B across 4 M3 Ultras - a model that physically can't fit on a single machine - how finetuning a local model distributed across your own hardware works the same way as inference a guide to building a hybrid local-cloud AI system on a Mac Mini M4👇

BY THE TIME GTA 6 RELEASES, THE BIGGEST WINNERS PROBABLY WON'T BE THE PLAYERS. They'll be the people who started building months earlier. Every major game launch creates the same pattern. Millions rush in looking for servers, scripts, maps and new experiences. Almost nobody asks who built everything they're about to buy. The smartest builders aren't waiting for GTA 6 to launch. They're filling the marketplace before the crowd arrives, so when millions of players show up, they're already selling. The best opportunities are usually gone by the time everyone starts talking about them.

@antisadh 290W idle is just expensive ambient heating

A HOMELAB TINKERER IS COLLAPSING 3 DEVICES INTO ONE Z840 DUAL XEON WORKSTATION FOR OPENSENSE + PROXMOX NAS + VM HOST AT 290 WATTS IDLE, THE $599 MAC MINI M4 IN THE MAP RUNS ALL 3 AT 6 WATTS 02:00 the tinkerer walks through his 3-in-1 plan, "this could take the place of all three devices, Opensense router, faster NAS with more storage overall, and still be my virtual machine server" three separate boxes on his rack right now, a dedicated Opensense on dual GbE, an ESXi micro form factor Dell, a NAS with 4x 16TB drives, combined idle at 380 watts, $32 a month in electricity at $0.12/kWh the plan pulls all three into one Z840 running Proxmox, VM for Opensense on the dual GbE, TrueNAS VM on the 4 bays plus 2x SX350 SSDs for cache, one chassis one boot, drops idle to 290 watts and $25 a month the $599 Mac Mini M4 in the map handles the same 3 workloads through pfSense in a Docker container, Netatalk for NAS over 2.5GbE, docker for lightweight VMs, idle draw 6 watts, $0.50 a month electricity, migration under a weekend part 2 of the map calls the mac mini the easy default and the math is exactly why, the DIY consolidation ends at 290 watts and $25 a month, the appliance path ends at 6 watts and 50 cents, same 3 services the window is open, follow and bookmark before it closes

@xieike we gave the probability machine an emergency brake

WHY OPENAI IS CAPPING GPT-5.6 SOL RUNTIME the new Sol, Terra, and de Luna models are not here to improve reasoning they are here to improve the kill switch the reality of the new safety stack: > if an answer looks unsafe, the system terminates the reasoning early > Wall Street is already panicking over a massive DRAM hardware crisis > closed AI labs are burning fortunes to stay 6 months ahead of open-source > tests prove AI has as much of a soul as digital goats in Age of Empires AI is a deterministic probability engine. the debate about its soul is just an interface trick full episode breakdown 👇

@0xkvro retail traders bring opinions, quants bring matrices

Jim Simons spent decades building one of the most successful quant firms in history. In this 1 hour lecture, he explains something most traders never realize: Markets are not driven by opinions. They're driven by mathematics, probabilities, and hidden structure. The same ideas that power firms like Citadel, Jane Street, and Renaissance Technologies still sit underneath modern markets today. Watch the lecture and bookmark this.

@cyrilXBT Curious how many agent ideas actually survive real-world usage

ANTHROPIC JUST OPEN SOURCED A TOOL THAT TAKES YOUR AGENT IDEA TO A LIVE CLOUD DEPLOYMENT. It is called Launch Your Agent. Not a demo. Not a tutorial. A Claude Code skill that interviews you, scopes a v0, launches it in your own account, grades it, and schedules it to run without you. The whole thing installs from one GitHub link inside Claude Code. Four phases. Interview. Stage and launch. Grade and iterate. Run without you. Your agent ends up living in the Claude Managed Agents console, running in the cloud, independent of your laptop being on. Runs cost cents. Bookmark this. Follow @cyrilXBT

@marfinxx bro turned a mini PC into a tiny datacenter

HE WIRED A MINISFORUM DEG2 DOCK TO A MINI PC TO RUN HERMES AGENT LOCALLY AND MAKE $10,000 IN 30 DAYS Most builders setting up AI automation agencies make the same mistake by running heavy agent workloads on weak cloud VMs He bypassed this by connecting a desktop GPU and a fast M.2 SSD to a mini-ПК using the DEG2 dock via USB4, creating a silent CUDA station on his desk This setup runs continuous lead generation loops, daily web scraping, and automated CRM database entries using local OpenClaw and Hermes Agent installations Instead of leaking client data and burning $440 a month on cloud subscriptions, the system executes recursive reasoning cycles offline at zero token cost Get the complete comparative matrix and local model setup commands in the article below ↓

THE BIGGEST AI SKILL HAS NOTHING TO DO WITH AI. Most people think they're learning new tools. They're not. They're learning how to communicate with another intelligence for the first time in history. That's why two people can open the exact same Claude account and walk away with completely different results. One throws in a vague sentence and blames the model. The other provides context, shares examples, refines the first draft, challenges weak ideas and keeps pushing until the output feels like something worth publishing. Same model. Completely different conversation. I don't think prompt engineering will be the valuable skill. Clear thinking will. AI is simply exposing who already knows how to explain what they actually want.

@Lummox_eth turns out smarter AI still needs project management

FABLE 5 IS NOT FOR SMALL PROMPTS IT IS FOR HARD WORKFLOWS. Anthropic’s guide says most teams undersell Fable 5 because they test it on tasks Opus 4.8 already handled. The real value shows up on long, messy, multi-stage work : migrations, autonomous runs, tool execution, sub-agent delegation and tasks that used to need hours of human correction. The model needs rules : longer timeouts, progress audits, memory files, action boundaries and clean final responses. The market insight is simple. Better models do not remove process. They make process more valuable.

@0xchromium agencies sweating over prompt engineering now

CLAUDE JUST BUILT A BRAND WEBSITE THAT AGENCIES CHARGE FOUR FIGURES TO MAKE without a designer or months of waiting, just a prompt and a page clean enough to hand to a client a studio would have booked weeks for this and billed every one of them Claude did it in a sitting, on brand and ready to ship that page is not a trick, it is the kind of deliverable a business pays real money for you don't design it, you run the system, hand it over, and send the invoice the way to turn this into a paid service is in the article below

@0x_fokki AI fixed bugs nobody filed

A 23-year-old developer gave Claude Fable 5 one sentence and came back to a finished video game He typed a single goal, build a playable strategy game, test it yourself, fix what breaks, then closed the laptop and left Fable 5 ran for hours on its own. it planned the game, wrote the code, and spun up a live map with resources, factions and a real-time leaderboard It ran its own tests, watched some fail, and repaired them without a single message from him While checking its work, it caught a bug nobody asked about, a building rendering 3x too tall, and quietly fixed that one too The old way took 20 messages to get one function working, and you were the glue holding it together. Fable keeps the whole goal in mind and comes back only when it is done He never prompted it step by step. he handed off the project and walked away Every brief and setting he used is in the article

@Primee32 parenting accidentally created growth hacking

A 31 YEAR OLD NEW JERSEY DAD STUDIED BLUEY FOR ONE WEEKEND AND NOW MAKES MORE THAN MOST ANIMATORS, $11,400 A MONTH WITH ZERO ANIMATION BACKGROUND jason is 31, new jersey living room, noticed his 3 year old rewatched the same bluey episode 16 times in one weekend and decided to figure out why instead of guessing the pattern wasn't animation quality. it was pacing — every scene held exactly as long as a toddler needs to process it. not a second longer. fed that pacing into claude to build a reusable script structure: short scenes, one simple conflict per episode, a resolution a toddler can follow without a parent explaining it midjourney locks the character designs, kling animates at the exact pacing claude mapped, elevenlabs handles every voice so nothing sounds robotic no more brainstorming — just pick a tiny daily conflict (lost toy, thunderstorm, shared snack) and let the template run month 1: 12k views, mostly friends and family month 3: 680k views, getting recommended to parents he'd never reached month 6: 340k subscribers, 89 episodes, $11,400/mo between ads and an unexpected toy licensing inquiry he has never worked in animation, never studied child psychology, never hired a team bluey's studio spent years perfecting the pacing that holds a toddler's attention. jason didn't beat bluey. he just stole the formula and ran the window is open, follow and bookmark before it closes

@AnatoliKopadze Reliability comes from guardrails, not autonomy alone

Nvidia engineer: "Agents are already capable of doing almost any task. What's missing is the loop around them." In 20 minutes he breaks down the loop that runs agents for hours without breaking. The structure is simple once you see it, but almost everyone builds it wrong. Watch it, then read the full guide on building loops below.