InsideFlow

@explosss1ve Love how the hand shadow wraps the geometry perfectly

THE HAND ON SCREEN ISN'T VIDEO. IT'S A LIVE DEPTH SENSOR PAINTING A SHADOW ONTO 3D GEOMETRY. a real hand moves near the monitor. a sensor reads it. inside the scene a virtual hand-shadow falls across a car and a skeleton, wrapping to the surface underneath in real time. that's TouchDesigner doing the tracking, not a render. the shadow bends because it's reading actual depth off the 3d meshes. here's where AI slots in, and where it doesn't. a model can write the node logic, the mapping from sensor data to shadow, the whole scaffold. that part collapsed. what it can't do is decide the feel. how soft the shadow reads, how much lag before the gesture stops looking alive. the tracking pipeline got cheap to build. the moment it feels like your hand is actually touching the geometry is still tuned by a human, frame by frame.

@roman_koshchei This drone avoidance module looks pretty clever

Introducing Drone Avoidance module: automatically maneuvers away from drone catching up behind. Once camera facing backward detects drone with high confidence it stirs UAV away from it. Tested out in simulation like shown in video. I would guess price around 250-300$ which includes single board computer, daylight camera and all the software. Maybe less if buying electronics in bulk. While I am still working on dynamic control for interceptor (turns out there is a lot to it) I made Avoidance control based on same system I have already developed before.

@21xFORTUNA This local Jarvis on Raspberry Pi is genius

I stopped typing prompts a while ago. Now I just talk to Jarvis, and it does the rest. The whole brain is a Raspberry Pi. That little board on my desk runs the entire thing, no cloud, no subscription bleeding me every month. And it has a camera, so it sees what I hold up. I lift a part, ask what it is, and it tells me out loud. The rest is the same loop. I say one line and Jarvis handles it. Pull that up. Track this. Open that. Run it. It listens, it answers back, it moves. I give the command, it does the work. Feels less like an app and more like having someone on staff who never sleeps. Watch before it gets taken down. P.S. I put the full build guide in the article below. Every step to make your own.

@theSethian Only new or updated files. That's the whole point.

@InsideFlowx What happens tomorrow? Does Claude read all 500 files again?

He's 25. He hit Claude's daily usage limit in just 5 minutes. Most people open Claude, ask a few questions, then close the tab. He connected Claude Code to an Obsidian vault with over 500 Markdown files. Years of notes. Research. Projects. Ideas. Documentation. Everything. Claude started reading, organizing, connecting, and querying the entire knowledge base like a real second brain. Five minutes later... The daily usage limit was gone. Most people think Claude is just another chatbot. He's using it like an AI operating system that understands everything he's ever written. Every new note becomes part of the system. Every project expands its memory. Every interaction makes the entire vault more valuable. Most people are chatting with AI. He's building infrastructure. The future won't belong to people with the best prompts. It will belong to people who own AI systems that remember everything.

@gippp69 Nvidia desk box powers real-time robot control

NVIDIA DGX SPARK IS A $3,999 DESK BOX THAT RUNS 200B PARAMETER MODELS LOCALLY AND CAN POWER ROBOTIC SYSTEMS LIKE THE ONE IN THIS VIDEO the guy wears a VR headset and controllers while the orange robot mirrors his movements and grabs an object from the table in real time. systems like this need fast vision, low latency inference, and enough memory to process every movement without waiting on a distant cloud server. DGX Spark packs 128GB of unified memory, 4TB of storage, and 1 petaflop of AI compute into a box small enough to sit beside a laptop. builders spending around $1,900 a month on A100 or H100 rentals could move part of that workload local and recover the $3,999 cost in roughly 2 months. one box handles models up to 200B parameters, while two unlock 256GB of memory and can keep nearly $22,600 in cloud costs inside the business every year.

@insomnia_vip Claude lets one guy replace whole animation teams

A 23-YEAR-OLD PROMPT ENGINEER IS USING CLAUDE TO BUILD VIRAL AI VIDEOS INSTEAD OF ANIMATION SOFTWARE After finding a format that people kept watching he used AI to generate the characters scenes and animations turning a simple idea into a repeatable content system instead of spending weeks learning traditional 3D tools The biggest shift is not that AI can animate a funny cat it is that one person can now create an endless stream of content that would have required an entire animation team just a few years ago Attention has become the real product and the creators who can consistently manufacture it with AI are building an advantage that compounds with every upload Internet rewards repeatable ideas far more than perfect ones

@Bober_smart Girl fixing cars as AI gf? Instant money printer

A 22-year-old guy from Argentina created an AI girlfriend who is a car mechanic, and 1,124 men paid to see it Investment $200 for media generation Subscription price $5.99 Total revenue $6,337 The success lies in the fact that it is an untapped niche with no competition, and the "female mechanic" persona was highly intriguing to men To get started, he posted content on TikTok. It created a cognitive dissonance for men: How can a girl be fixing cars? Because of this, he quickly built an audience and directed them to Fanvue, where he offered a paid subscription and more explicit content This all took him 42 days, and his expenses were covered just 12 days in, after which he began generating net profit When you don’t know where to start, invent something that no one has done before

@beamnxw AI lets one guy build GTA 6 empires already

$10,000,000,000 FROM ONE GTA 6. YOU CAN BUILD YOUR PIECE IN 48 HOURS GTA 5 made $10 billion. Most of it came from GTA Online, not the box price. Rockstar is building a creator economy around GTA 6 Four ways to earn before launch: 1) Run a roleplay server. Subscriptions run $500 to $10,000 per month. Claude Code writes the Lua. You run the world 2) Sell scripts on the Cfx Marketplace. Earning systems, banking, housing. Build once. Sell forever. $100 to $600 per script 3) Sell asset packs. AI generates 3D models from text. Claude controls Blender through MCP. No modeling skills needed 4) Build living AI NPCs. Characters that remember players and change prices based on reputation. Licenses sell for $200 to $500 per server. Almost no one has this yet Two years ago this took a full team. Now Claude Code writes the code. AI runs Blender while you message from your couch. One person does what used to take months The winners will not be the most talented. They will be the earliest While everyone waits for November to play, a small group is building catalogs and claiming empty niches Bookmark this so you don’t lose it

@misat0x Slot machines are pure psychology: variable reward + instant repeat. Even pigeons prefer it over steady wins. Brutal design

A journalist went to Las Vegas to find out why people cannot stop playing slot machines. He expected the usual casino myths: no clocks, hypnotic music, weird architecture. Instead, he found a real casino where nobody is allowed to gamble. 73 companies fund it. Gambling firms, big tech, Fortune 500 companies. Inside, they study one question: what makes someone press the button one more time? The answer has three parts: an opportunity to win an unpredictable reward a chance to repeat immediately That is the machine. Then researchers gave pigeons a choice. One game paid 15 units of food every other peck. The other paid 20 units about every fifth peck, at random. The first game paid more over time. 97% chose the second one. That is Polymarket in miniature. It looks like a market of probabilities. Buried inside is the same loop: a price that can move, a win that might come next, and another trade available immediately. Your gut reads one green trade as skill and a losing streak as a broken system. Wrong both times. A result is not a forecast. The market asks a question your intuition cannot answer: Was your probability better than the market’s probability? Not on the last trade. Over hundreds of resolved markets. EV, Kelly, Bayes, Brier scores - none of it is hidden. Here’s the trap: you feel every win and every loss as a verdict. But you cannot feel calibration. And calibration is the only thing that compounds. Full article below 👇

@MrBumich RTX 5090 first, no question. Threadripper can wait. That $20k in under a minute was cold-blooded

The most expensive trip of my life. Literally minus $20k in under a minute If you had an unlimited budget, what's the first thing you're throwing in your cart: an RTX 5090 or a Threadripper? Let me know below!

@N01ennn First prompt on a $4k personal AI supercomputer is 'NVIDIA, finish staining my deck'. Peak 2026

A NEW OWNER JUST UNBOXED HIS FIRST DGX SPARK WITH 128GB OF UNIFIED MEMORY AND A GB10 GRACE BLACKWELL CHIP, AND HIS FIRST PROMPT WAS ASKING NVIDIA TO FINISH STAINING HIS DECK 00:03 "I just got in my NVIDIA DGX Spark, the AI supercomputer. I know you're going to say chief it's not plugged up. But it is AI, so let's give this a try. NVIDIA, finish staining my deck" the box holds a GB10 Grace Blackwell Superchip, 128GB of coherent unified memory, 4TB of Gen5 NVMe, and 1 petaflop of AI compute at FP4. same class of silicon that used to require a datacenter rack, now sitting on a coffee table for $3,999 the joke lands because the moment is real. NVIDIA just shipped a personal supercomputer that runs 200 billion parameter models locally, and the first prompt out of the box is asking it to finish a home improvement project it will not stain his deck. it will run Llama 3.3 70B at full precision, Qwen3 235B for coding, and DeepSeek V3 in quantized form. all locally. no API calls, no rate limits, no data leaving the room $200 a month for ChatGPT Pro plus $200 for Claude Code Max hits $4,800 a year. one DGX Spark at $3,999 replaces both bills, plus the cloud GPU rental behind them, in nine months the article covers the DGX Spark break-even math against cloud rentals and subscription stacks. this post is proof that even a joke unboxing video already tells the whole story save this before every unboxing video looks exactly like this one ↓

@theSethian Claude now builds its own live-updating dashboards that track tasks, blockers and everything automatically? AI scares me more and more

Claude Code can now build a dashboard that updates itself. That's the example Brock Mesarich shows with the new Artifacts feature. Claude completes a task, turns the result into an interactive web page, and gives the team a private link. People can open it, click around, and watch it change as the session continues. As the model completes more work, the dashboard fills itself in with: > completed work > current tasks > blockers > recent decisions > what happens next Everyone checks one page instead of writing a new status update every day. The article covers the wider Claude Artifacts system. Artifacts can store data between sessions, call the Claude API directly, and connect to calendars, GitHub, analytics, Asana, and Linear. With those connectors, an artifact can become a personal ops dashboard, a client report fed by live analytics, or an intake form that writes directly into the existing task system. Connector-based artifacts stay private or inside an organization. Each viewer signs into their own services, so a shared artifact can display the right data for each person. The guide includes the setup, prompt pattern, and four builds worth trying. If your team rebuilds the same report every week, give Claude the job once and keep the link.

@issatheblows This is getting way too real... AI scares me more and more.

CLAUDE + ONE AI GIRL = $18,364 BALANCE She isn’t real. The money is. This is the exact system that cleared $67k in 45 days with 1,150 paying fans: • persona.md (2,800 words of rules + contradictions) • appearance.md + locked LoRA (face never drifts) • voice.md (ElevenLabs with real yawns) • brain/[fan_id].md (full memory of every conversation) • orchestrator that runs every 90 seconds Claude reads the entire context before every single reply. Pretty pictures are free in 2026. Remembering their life is what buys the dream car.

@AllSeeingNik Teach Claude one habit once → it sticks forever. PRs on autopilot. Game changer

🚨Anthropic Finaly Release The Guide. (Part 6) Everyone assumes building your first skill means learning some deep technical process. It's actually just teaching Claude one habit and letting it stick. The example here is PR descriptions. Same format, every time, without you typing it out again. How the first skill comes together: >Name and describe it so Claude knows exactly when to use it >Show it the format once, in plain language >Save it, and that format becomes automatic from that point on That's the whole build. No extra tooling, no complex config, just one habit Claude now handles for you. Small skill, real change in how your day actually runs. Bookmark and watch.

@caspr_exe Market found the guilty party in minutes while the commission took six months. The price is always the fastest detective

Andrew Lo, MIT professor: "It took the commission six months to come up with the O-ring and Morton Thiokol. This happened in less than six hours." Jan 28, 1986. Challenger explodes on live TV. Four contractors built it. Within minutes the market crushed just one stock, Morton Thiokol, so hard they halted trading. Six months later a presidential commission named the exact same company and the exact same part. The crowd found the guilty O-ring before lunch. The signal is already in the price. Your edge is not being smarter than the market, it is catching the rare moment it is wrong.

@francescoinweb3 Buying your own hardware instead of renting cloud GPUs forever? The 2-month payback makes total sense for serious AI teams. Huge long-term savings

In the past, many AI teams didn't think about their own infrastructure. If they needed to run models, train them, or build services for their clients, the most obvious solution was to rent cloud servers. A small studio that specializes in implementing neural networks for businesses. Corporate assistants, document processing, and all projects require significant computational resources. The costs are gradually becoming more common, with approximately $1,400 spent on rent and $350 on server hardware for models and additional services. As a result, the company spends about $2,000 on infrastructure. The company decided to give up GPU rental and purchased the Nvidia DGX Spark for $3,999. It is a compact AI station with 128 GB of unified memory designed to run large open language models. With a $2,000 saving, the equipment pays off in 2 months. During the operation, the savings amount to $20,000, which can be used for product development, marketing, or team expansion, instead of paying rent for computing power. If you use ChatGpt for everyday tasks or only work with small models, it's not worth purchasing this equipment. However, if your business regularly rents GPUs, works with models with hundreds of parameters, trains your own models, or processes data, it becomes more than just an expensive toy.

@iamrexei Super useful. Stacking DeepSeek + Qwen + Groq free tiers can get you really far before paying anything. Most people are sleeping on these

23 WAYS TO GET STARTED WITH FRONTIER AI FOR FREE and most people know at most 3 Everyone usually talks about: ChatGPT Claude Gemini Perplexity GitHub Copilot but almost no one is looking toward Chinese labs and they’re currently offering simply massive free tiers the most interesting ones: ▸ DeepSeek — free chatbot ▸ Qwen — free chatbot + massive API tier ▸ Zhipu GLM — millions of tokens to start with ▸ Moonshot Kimi — starter credits ▸ Groq — fast inference for Llama/Qwen/DeepSeek ▸ OpenRouter — dozens of free models via a single API ▸ NVIDIA Build — starter credits And if you put all this together, you can get hundreds of millions of free tokens In other words, for MVPs, automations, agents, tests, and prototypes, you don’t always need a $200/mo plan You can build a stack using free official sources Especially if you’re working on: → n8n automations → AI agents → parsers → Telegram bots → research → MVPs → local API testing The main point: If you’re paying for AI before you’ve maxed out the free tiers, you might just be funding someone else’s marketing. But here’s the important part: no gray-market accounts, resellers, or “cheap access” only official channels otherwise, you could lose both your account and your money by 2026, knowing how to find free compute will be just as important a skill as knowing how to write prompts

@Frandeeer Exactly. AI UGC lets you test 10x more angles cheaply and find what actually works before spending real money on production. The 'evidence from testing' mindset is gold

Alex Schultz, Meta CMO and VP of Analytics: The first ad is rarely the winner. It is usually the most expensive way to learn what the winner should have been. That is why AI UGC matters. • 05:09 — why the audience matters before the creative • 14:04 — building a real creative testing roadmap • 17:25 — an AI-made creative case study • 41:25 — using Claude for creative research • 53:15 — the budget and creative-volume question Not because brands need fake influencers. Because brands need more shots at the message before they commit to production. Build one consistent character. Keep the product, face, voice, and style stable. Then test what actually moves attention: the hook, the claim, the story, the objection, the offer, the audience. A traditional shoot turns every new angle into another budget conversation. AI turns it into a creative test. The best use of AI UGC is not replacing the person on camera. It is finding the script worth putting a real person on camera for. The asset is not the video. It is the evidence that one angle worked while nine others did not.

@Sousinr Paddle has been the most reliable for me, especially with global payouts and compliance. Lemon Squeezy is great too for digital products. Solid list

"Stripe isn't available in my country" isn't a valid excuse anymore. There are dozens of alternatives. • Lemon Squeezy • Dodo Payments • Paddle • Polar • PayPal • Wise Business • Payoneer • Airwallex • Rapyd • dLocal • Adyen • Mollie • Checkout(dot)com • Xendit • Midtrans • Paystack • Flutterwave • Razorpay • Cashfree • PhonePe Payment Gateway • PayU • Mercado Pago • Conekta • EBANX • YooMoney • PayTR • iyzico • Paymob • HyperPay • MyFatoorah • 2Checkout (Verifone) What's the best payment processor are u using mostly?