dead internet theory is starting to feel less like a theory... now anyone with an idea can run their own higgsfield content factory experts said 90% of online content could be ai-generated by 2026. it’s 2026 remember when a weird video meant some guy actually filmed it?

space bunny was minimax m3.1 flash all along... the anonymous model that sat at #1 on openrouter for 10 straight days (56.7t tokens) and #1 on opencode for 12 days (106t) finally has a name so i used it to build a content planner from scratch the trick is giving it the whole picture at once, smart way to set it up: - step 1: connect minimax m3.1 flash to claude code and set effort to max - step 2: dump everything into one prompt: niche, audience, my last 50 posts, what performed and what flopped. the 1m-token context takes it all - step 3: have it build the app: a 30-day calendar, a hook bank, post drafts per platform - step 4: add a “why it worked” analyzer that reads my top posts and pulls out the patterns - step 5: generate a week of posts in my format, then rewrite the weak ones - step 6: test it, fix the bugs, ship it what a build like this costs: under $0.50 at api prices (rough math: ~1.5m tokens in, ~300k out) why it’s cheap enough to run every day: > $0.15 per 1m input tokens, $0.60 output, $0.015 cached > 70% lower cost on agentic tasks than the previous minimax model > 73.7% on deepswe v1.1, close to top coding models > 200+ tokens per second output don’t compare price per token, compare the price of a finished task. that’s where this model wins

full office in 3d with claude opus 5.5 + blender... a few reference shots in, 1,876 objects out a smart way to set it up: - step 1: connect opus 5.5 to blender via mcp, send 2-3 reference shots - step 2: set a fixed camera matching the reference - step 3: build the room shell first: walls, windows, blinds - step 4: add big furniture, check against the reference, lock it - step 5: fill each zone with clutter: desk, shelves, sill, floor - step 6: add close-up detail where the camera looks most - step 7: assign materials, then match the reference light - step 8: render, compare side by side, fix one thing per prompt i like to keep the reference camera fixed the whole time same angle every stage, so you instantly see what’s still missing

the 2026 personal brand playbook is larpmaxxing... film yourself once. become a different main character every post with higgsfield genjutsu lite, one source video turns into new looks how to build a persona with it: - step 1: film one strong take: talking to camera, a walk-in, a reaction - step 2: run it through genjutsu lite with a new look: tailored suit on a rooftop, explorer in the desert, astronaut on a launch pad - step 3: keep your face, voice and moves, and change everything around you - step 4: post the transformations as a series so people come back for the next one - step 5: double down on the aesthetics your audience reacts to and now larpmaxxing is 5x cheaper

ai drama ads are quietly out-performing normal ads right now... they open it for characters, tension, and a payoff they have to stay for so the brands scaling hardest stopped interrupting the show. they made the ad the show here’s how to make one with arcads: - step 1: pick a style: pixar 3d, talking animals, realistic drama, claymation - step 2: pick a story: a relationship about to crack, a secret about to come out, an absurd disaster - step 3: open with conflict in the first 2 seconds (a furious bulldog, a guilty cat, feathers everywhere) - step 4: build tension with quick cuts, one beat per shot - step 5: let the product solve the problem inside the story, not after it - step 6: end on a payoff or a twist that makes people rewatch story formulas that work: > a relationship falling apart over a problem the product fixes > an absurd situation where the product is the unexpected hero > a family drama taken to the extreme > a before-and-after that feels like a real transformation if it feels like an ad, they scroll. if it feels like a story, they stay i like talking animals for this. nobody skips a bulldog in a bathrobe yelling at a cat.

larping just got 4.5x cheaper... wan 3.0 is now on higgsfield, and it costs 4.5x less than seedance 2.5 below: filmed in a backyard next to a trampoline above: same guy, same moves, same words, on a rooftop with a pool and a skyline how it works: - step 1: film yourself talking anywhere: backyard, bedroom, parking lot - step 2: upload the clip to higgsfield and pick wan 3.0 - step 3: describe the new scene: “rooftop terrace, infinity pool, city skyline at sunset” - step 4: wan 3.0 keeps your face, gestures and timing, and swaps the world around you the rule that changes everything... at 4.5x cheaper, you can test 5 scenes for the price of 1 the cheaper it gets, the more you can experiment

here’s how to build a japanese canal boat game with claude opus 5.5 + unity 6 + blender.. the trick is one system per prompt, smart way to set it up: - step 1: create a unity 6 urp project and connect opus 5.5 through unity’s plugin and blender mcp - step 2: greybox the canal: water channel, stone walls, 2 bridges, docks - step 3: boat physics: throttle, steering, wake trails, speed in knots on the hud - step 4: opus models the props in blender: the covered boat, houses, the vermilion bridge, the pagoda, lanterns - step 5: water shader + day/night cycle + rain, with lanterns that switch on at dusk - step 6: a compass on top and 9 landmarks that unlock on the map (“water gate, 3 of 9”) - step 7: docking lessons: “come alongside the temple steps below 2 kn and press e” - step 8: opus playtests in play mode, reads the console and lists bugs before fixing who does what: > blender: every model > unity 6: the water, the light, the weather, the ui > opus 5.5: boat physics, quests, scene setup, tests > you: steer it and say what feels off i like to test every feature at night in the rain. if it still looks good there, it’ll look good everywhere.

flux 3 max just made seedance 2.5 look slow... same quality tier, but 10 sec of video in ~12 sec instead of 4.5+ min. the numbers (per fal’s benchmarks): - 1,139 elo on artificial analysis, among the top image-to-video models - matches seedance 2.5’s elo, ~22x faster - +50 elo over the original flux 3 - ~12 sec to generate 10 sec of video why it matters: - you test 20 ideas in the time one seedance render used to take - real-time-ish generation means you iterate like you’re editing, not waiting the rule now... don’t pick between quality and speed. this one has both. i like to run my first drafts through the fastest model and only re-render the winners. this one makes that loop almost instant. try flux 3 max on fal 👇

here’s how to automate ai ugc ads with claude opus 5.5 + kling 4.. the trick is giving opus a skill and an mcp, smart way to set it up: - connect opus 5.5 to kling 4 through mcp - have opus break down 20-30 competitor ads - drop in a product pdf and pick a story: problem > pain > product > payoff - opus writes the script for one exact buyer, with the pain in the first 3 sec - opus makes character sheets and a first frame for every scene - kling 4 animates each scene as a 10-sec shot with tagged refs - test 2-3 clips, then run the rest - opus edits, adds an elevenlabs voiceover, exports 9:16 test 2-3 clips before generating 50. a face that changes in clip 2 is cheap to fix. in clip 40 it’s a disaster why kling 4 beats seedance 2.5 right now: - 4x cheaper than Seedance models - yet it matches the insane quality of seedance 2.5