Cipgerx

@kyzoroX haha, we just refined it in public

@cipgerx that's a better phrasing of my own argument than mine lol

THE EASIEST WAY TO MISS MONEY IN AI IS TO CALL THIS “JUST CONTENT” The music starts She catches the beat The shoulders move first The hips follow The footwork stays clean Every frame connects You wait for the stiff AI moment It never comes💃 That is why this clip matters Not because AI made another dance video Because realistic human motion used to require dancers Motion capture Animators Studios Weeks of work Now the expensive part is becoming software That is where the money starts moving💰 Not in making random AI dance clips In removing the expensive work that used to sit behind them While the feed laughs at the video, someone else is asking the question that actually matters: What did this just make cheaper? That is what I track here Small AI shifts that turn into lower costs, leverage and new businesses before they become obvious🤯 The people making money from AI are rarely watching the output They are watching what the output just made unnecessary🎬

@kyzoroX fair point 😄 maybe that’s the moat: copies can take the format, but not the original signal people gather around

@cipgerx i mean we're arguing under your post and not under one of the copies. kinda answers itself no?

@ami10iv if local AI keeps improving, what do people cancel first: ChatGPT, Claude, or all the small SaaS tools around them?

I CANCELLED CHATGPT, CLAUDE AND CURSOR THE SAME WEEK AND MY WORK GOT FASTER 00:47 the moment a regular laptop replaces a $200/month AI stack one folder, one small local model, zero rate limits, zero token anxiety summaries, transcripts, messy notes, first drafts - done before the cloud model would even finish loading a Mac Mini turns this into a private assistant that runs 24/7 for the price of a light bulb an RTX 3090 box pushes it further - bigger models, RAG, batch jobs, agents running overnight while you sleep the machine doesn't care if you run the task once or a thousand times - the bill never moves save the $200/month model for the 1% of tasks that actually need it everything else just became free full breakdown + exact setup below - follow before I take it down

@kyzoroX if everyone can copy the board, what becomes the real edge now: taste, speed, distribution, or storytelling?)

@cipgerx "just content" was never the risk. the risk is everyone screenshots your board and ships the same girl by friday what's your moat, the prompt or the taste?

@NexlowX the model can’t preserve what you never locked in

THE CHARACTER SHEET FORMAT THAT STOPS SEEDANCE 2.0 FROM REDESIGNING YOUR CHARACTER MID-SHOT One face. Four angles. Four expressions. Three action poses. Zero identity drift once he actually starts moving. Most people generate one hero portrait and hope Seedance 2.0 holds the design steady across every new shot. The real consistency comes from feeding it a full turnaround sheet instead of a single image everything the model needs to know about the character locked in one canvas. Here's the build order: 1. Lock the character bio in one block — age, build, ethnicity, hair, general read 2. Lock outfit + palette in a separate block — fashion direction, color story, accessories 3. Build the full turnaround — front, 3/4, side, back, all in one sheet 4. Add a 4-expression panel — neutral, happy, angry, surprised 5. Add 3 action poses at the bottom — range of motion, not just standing 6. Add detail callout zooms — fabric texture, accessories, shoes, face close-up 7. Add an outfit breakdown panel + color swatches with hex-style labels 8. Feed the finished sheet not a single portrait into Seedance 2.0 as the character reference Why this works: - Every angle and expression gets generated in one pass, so nothing gets reinvented differently shot to shot later - Detail callouts lock the small stuff tattoos, gloves, pendant that's usually first to drift - Outfit breakdown + swatches give Seedance explicit color anchors instead of guessing from one lit photo - Same lighting logic across every panel means Seedance isn't fighting conflicting shadow directions between references Use cases: - Original characters for animated shorts / music videos - Game character previz before full animation - Brand mascots that need a consistent expression range - Any project where one character has to hold up across many shots Not every accessory survives every angle perfectly small pendant and tattoo details still need a manual check after generation. But building the full sheet before ever opening Seedance 2.0 cut character drift down to almost nothing.

@kyzoroX most people see the 3D scene, the real shift is the recovery loop

CLAUDE BUILT A 1133-OBJECT SCENE IN BLENDER. FROM ONE PHOTO. It debugged a broken API mid-task. It fixed its own overexposed render. Everyone saw the demo. Almost everyone missed what actually matters in it. My full breakdown — including the 10 seconds that change everything — below.

@Psalteric one prompt is the myth, the system is the real unlock

CLAUDE FABLE 5 JUST BUILT NO MAN'S SKY FROM A SINGLE PROMPT. Nobody wrote a line of code. No game engine was touched. There wasn't even a team. Just one sentence. Just one model. And out came "ECHO HORIZON" — a fully playable 3D space exploration game running in the browser. What's inside it? → A galaxy you can actually fly through, with star systems like Synach Prime and Riash Prime → Four hand-feeling, procedurally-named planets, each with its own biome and gravity: • a volcanic hellscape of lava and jagged cliffs (1.13g) • a green world alive with forests, oceans, and wildlife (0.63g) • an endless water planet (1.03g) • a frozen realm of snow, pines, mountains, and glittering planetary rings (0.77g) → Real spaceship flight, complete with a speed + altitude HUD → A pulse drive that hurls you between planets → Smooth atmospheric entry, landing, and takeoff → Step off the ship and explore on foot — sprint, jump, wander → Surface structures scattered across alien terrain → Day/night lighting that shifts as worlds turn Now hold that next to reality: Hello Games needed four years and fifteen people to ship No Man's Sky. Claude knocked this out somewhere between ordering lunch and finishing it. Curious what the prompt looked like? Roughly this: "Build a complete 3D space exploration game in the browser. Multiple star systems, procedurally generated planets — each with a unique biome (volcanic, lush, oceanic, glacial), its own gravity, and a generated name. Give me a flyable spaceship with a speed/altitude HUD, a pulse drive for interplanetary travel, atmospheric entry, planet landing, and on-foot exploration. Throw in terrain generation, trees, rocks, structures, day/night lighting, and planetary rings. Make the whole thing playable with mouse + keyboard." A $200B industry. Disrupted. By a text box.

@0xKyrex no cloud, no subscription, no data leak that’s huge

GOOGLE JUST PUT A FREE AI MODEL ON YOUR PHONE THAT RUNS WITHOUT INTERNET, WITHOUT AN API KEY AND WITHOUT SENDING YOUR DATA ANYWHERE it's called Google AI Edge Gallery and Gemma 4 is already inside it you download the app, the model runs on your phone's GPU — no cloud, no subscription, no connection required Gemma-4-E2B: 2.54GB on your device — answers questions, reasons through problems, runs Agent Skills for specialized tasks Ask Image: you take a photo of anything — a Japanese restaurant menu, a receipt, a document — and the model reads it, describes it and answers questions about it — all locally on your hardware Agent Skills: load different reasoning capabilities into the same model or create your own — the phone becomes a task-running machine that doesn't need to phone home Gemma-4-E4B: 3.61GB, more capable, same deal — no API costs, no data leaving the device most AI tools today: your data goes to a server, a company stores it, you pay monthly this: your data stays on your device, the model costs $0/month to run and works on a plane ChatGPT requires a connection — this works offline

@ZentrixHQ realism starts before the motion

📖THE CHATGPT IMAGE 2 DETAIL THAT DECIDES IF YOUR SEEDANCE ROBOT LOOKS REAL The character looks finished until the moment it has to touch the ground. And here's how to fix it. Most people building a mechanical character in ChatGPT Image 2 stop at the turnaround. Neutral pose, back view, profile, folded state, deployed state, optic study — every angle covered, every detail rendered. On paper it looks complete. In Seedance, the moment that robot starts moving, something feels off, and it's rarely the design itself. The missing piece is ground contact. How the legs actually meet the surface. How weight shifts between tripod legs during a step. How dust, water, or debris reacts to that weight landing. Without a reference for this, Seedance has to guess the physics of contact, and it defaults to something that looks placed on top of the ground rather than standing on it. The character design can be flawless and still read as a render pasted into a live-action shot, because nothing in the reference set told the model how mass behaves. ▪ Turnaround covers shape and detail, not physics ▪ Ground contact reference shows how weight distributes across each leg ▪ Surface interaction — dust displacement, water ripples, debris shift — has to exist somewhere in the atlas before generation ▪ This matters more for non-human anatomy, since there's no learned intuition for how a tripod droid's weight moves compared to a human walk cycle The character sheet answers what the robot looks like. Ground contact answers what it weighs. Seedance only gets the second part right if someone actually gave it the reference. HOW TO FIX IT: Build the ground contact reference as a separate block in ChatGPT Image 2, before the robot ever enters Seedance. ▪ One frame, low angle, camera at leg level — shows how each leg meets the surface under the weight of the body ▪ Prompt focuses on contact, not design: "weight pressing into sand, slight depression under each leg, dust displaced outward from point of contact" ▪ Add a mid-motion variant — two legs bearing weight, third leg mid-lift, described explicitly: "two legs bearing full weight, third leg mid-lift, no ground contact" ▪ Match the surface to the location atlas — sand, water, lava each react to weight differently, and the reference needs to show that in advance ▪ If the scene involves liquid or dust, the surface reaction belongs in the same reference set, not generated separately CHEAT TIP: if there's any doubt Seedance will get the contact right, add a short line directly in the Seedance prompt — "weight settles into ground on each step, no floating contact" — instead of relying on the image reference alone. It won't replace the atlas, but it covers angles the reference didn't anticipate. The character sheet answers what the robot looks like. This is what makes it believable once it moves. 📥I'll share a few more secret techniques one of these days. 🔖Every step of this workflow is documented in the pinned article below.

@0xKyrex exactly, the window opens before everyone notices

@cipgerx nobody's getting rich watching the demo, the money is in spotting what just became free

@0xKyrex curious how many people will stop using Zapier if this keeps improving

GOOGLE JUST LET YOU BUILD AI AGENTS INSIDE GMAIL IN MINUTES — NO CODE, NO TOOLS, NOTHING TO INSTALL you open Workspace Studio, describe what you want in one sentence and it builds the flow the demo: an agent that watches every incoming email and checks the tone — if it's negative it triggers a completely different response path than a neutral one step 1: when I get an email → step 2: extract the content → step 3: check tone → step 4: route based on result no Zapier, no Make, no Python — just a trigger, a condition and an action after meetings it automatically generates a summary and sends it to everyone who attended daily briefing: every morning it pulls your unread emails, filters what actually needs your attention and delivers a clean action list the templates are already built: label emails by priority, notify you about urgent messages, auto-add attachments to Drive, watch for keywords across your inbox this runs inside Gmail — not a third-party app sitting on top of it most people are still opening every email manually and deciding what matters the agent does that part for you before you even open the tab

@Di_Krass_ appreciate the quote! It's less about the model and more about how you connect the tools🤝

while top OnlyFans creators film 8 hours a day and pay chat managers to reply, a 22-year-old student in Austin made $43,000 without a single photo shoot. he's not a director. he's not the model. he's a stack operator: Claude Code + Flux + Eleven Labs. Claude handles every conversation 24/7. Flux renders any photo on demand. Eleven Labs speaks in her voice. fans are paying for a girl who doesn't exist — and they don't notice. average fan brings $34. the top one dropped nearly $2,000 on DMs alone. Watch it now, and you'll know more than 99% of people. Follow me.

@Neuron_404 appreciate the quote! It's less about the model and more about how you connect the tools🤝

A creator turned a single photo into 6 cinematic 3D videos with no shoot and no animation. The setup lives in Weavy as a node-based workflow. ChatGPT acts as an AI production assistant, analyzing the photo and writing every camera movement. The moves run in parallel and pipe to Kling 2.5. Most creators still book a shoot or animate frame by frame. 00:12 This runs in one click. > Weavy — node-based workflow builder > ChatGPT — analyzes photo, writes camera moves > Camera moves — dollies, sweeps, arcs > Kling 2.5 — final render > 1 photo → 6 cinematic 3D shots The real breakthrough isn't a better model. It's chaining tools into one repeatable workflow. Follow me so you don't miss out on trends in the world of AI.d

@floppiGTA6 I'd rather have a subtle cameo than a major storyline, what do you guys think?

WHAT IF TOMMY VERCETTI SHOWED UP IN GTA 6? same city. same palm trees. 40 years later. an aging kingpin watching jason and lucia tear through the empire he built. rockstar loves easter eggs - and vice city is HIS city. would a tommy cameo break the internet or ruin the story? 👇🌴

@Psalteric haha, crazy what one prompt can do now😄

@cipgerx I've never been a good dancer, but it's a pleasure to watch such dances. And this is just one query in AI

@ZentrixHQ true, but if everyone has the same tools, what actually becomes the advantage? taste, distribution, or speed?)

@cipgerx the actual signal here isn't the dance, it's the elimination of everything that used to sit behind it — mocap rigs, choreography days, animator hours, that's the cost curve worth watching

@betraidx 100% that's where the edge is

@cipgerx so true, catching that wave early is the real cheat cod

Not everyone can buy GTA 6 on day one. But every single one of them will search for it. Pause at 0:24. Millions of people without the game will be looking for clips, guides, and reactions the moment it drops. The creator already in front of that audience owns the traffic before the title screen loads. Content. RP servers. Financial positions. Each one has a different binding constraint. Capital. Time. Technical skill. The play that fits your constraints is the one that works. Channels building now lock in rankings before 25 million players arrive. Most people will wonder in March why someone else got rich off the same game.

@ZentrixHQ yeah, it's oddly satisfying

@cipgerx This looks very funny and cool at the same time

The biggest AI breakthrough isn't in this video It's what had to happen before this video became possible Colonel Sanders walks into the frame Ronald McDonald answers The camera keeps moving The characters stay perfectly consistent The movement never breaks Then the chicken starts flying The burger follows It still feels like a real commercial🍗 Created by el.cine Five years ago, producing something like this required agencies Actors Studios Production crews Weeks of work Now it's becoming software That changes more than video It changes who gets to compete💰 The companies that understand this first won't just make better ads They'll test more ideas Learn faster Find winners sooner While everyone else is still producing version one Most people are comparing AI models The smartest businesses are watching entire industries become cheaper to enter That's exactly what I track here The AI shifts that quietly become tomorrow's biggest business advantages🤯 The biggest opportunities don't start with headlines They start when everyone else thinks it's just another video🎬