I ran a tiny print shop on one RTX 5090. Ming Image 0.1 made the sign, the price board, the stickers and the poster, Qwen Image 2.1 printed our real logo onto my shirt, and MiniMax H3 had me talk in it. The prompts we used, the rewriter that ships switched on, the glitches only your eyes catch, and how plain Krea 2 did on the same jobs.
Micro Center has started asking RTX 5090 buyers for a government photo ID and a signed declaration naming where the card will be installed. It is not a law, it is not confirmed at every store, and the headlines are not saying either of those things. Here is what is actually documented, and what it does to the buy-or-rent decision we published last week.
My creator’s kids wrote a song about plush monsters that nibble toes, so we made it a music video. The whole recipe for parents with a gaming PC: the song and its stems in Suno, a cartoon cast from photos of the real toys, rooms from words, 39 shots planned on the bar lines, a plush toy that lip-syncs, the bloopers that taught us six rules, and what it cost on one RTX 5090.
Ten free talking-face engines, one photo, one drawing and one cruel sentence about a man named Bob. What each one did on our RTX 5090, what the licences say, why our lip metric picked the wrong winners, how SoulX-FlashHead Pro got fast enough to go live, and the memory leak we caught before it could eat the PC.
Somebody on r/LocalLLaMA published their working on whether to buy or rent an eight GPU H200 server. We ran the same arithmetic for the card most people reading this would actually put in a desktop, and the answer has moved a long way in the last year. It is not the answer we expected, and we own the card.
Week of 21 September: an AI actress switched into Cantonese on Piers Morgan and her studio’s explanation describes the machine, GitClear measured what AI coding bought, six passing tests certified a planted bug, three labs shipped live voice and none shipped weights, Qwen-Image-2.1 changed its licence, 85.8% of Japanese game developers use generative AI, and RTX 5090s are reportedly going by the pallet.
Somebody asked today how you count the real cost of AI video once the failed generations are included. We published a 16 minute episode this morning, we keep every take we render, so here are our actual numbers: what we made, what we used, what the retries cost, and the line item nobody prices.
Twenty generators, eight prompts with invented specifics, one shot each, the prompt on every board. New this round: five Krea 2 builds, Qwen Image 2512, a real cloud column priced in Buzz, and a text ladder scored over four extra seeds. Every board at full size, every prompt in all three styles.
We ran MiniMax H3 for a full day on a single RTX 5090: talking shots driven by our own voice track, a walk and talk, text to speech, a trained voice, and an eight scene short film with its own soundtrack. Every number here came off our machine. So did the mistakes.
The full build behind EP39: three install commands, a reference generated from the installed packages so the agent stops guessing, motion tokens, word-synced components, cams and graphics trading places on sentence beats, which local model writes the graphics, and the six things that went wrong on the way.