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NOW IMAGINE CREATING AN AI GIRL LIKE THIS - AND SELLING HER CONTENT WITH THE FILTERS OFF👀 Same movements, different girl. The original is on the left. The blonde on the right is @lana_joi, the AI girl I created from scratch. Creating one convincing clip is only the beginning. ▹ One character, more than one offer An original adult AI model can anchor paid photo collections, custom videos or a subscription. Instead of generating a random face every time, you build a recognizable character and test what people actually want to buy. ▹ I started with the girl One face reference sheet, a signature look, a personality and a consistent voice. Lana is 25, lives in Miami, pilates by day, sunsets by night. Every photo and video is built around that identity, so she reads as the same person in every post. ▹ The character lock Every prompt ends with the same block. This is what keeps her face and body consistent from shot to shot: "KEEP LANA: same woman as the reference sheet - thigh-length straight platinum blonde hair with dark roots and face-framing money pieces, soft rounded face, light blue heavy-lidded eyes with brown winged liner, glossy pink-nude full lips, small beauty mark above the upper lip, gold hoop earrings. Very petite slim frame, curvy hourglass figure, tiny waist, round hips. Adult woman, 25. NO TATTOOS: clean, smooth skin everywhere." ▹ Signature details A choker in every shot. Glossy cherry-red almond nails plus one red detail per scene. Warm film look by day, direct flash at night. Her teddy bear in the home shots. Small repeating details are what make a character recognizable. ▹ Two scene prompts I actually use Morning: "Early morning, soft sunlight through floor-to-ceiling windows. Lana sits on the windowsill with knees up, holding a cherry-red mug with both hands, sleepy messy hair, glancing at the camera. Oversized white button-up shirt off one shoulder, grey lounge shorts. White satin ribbon choker, gold anklet. Bright Brickell high-rise apartment, Biscayne Bay view." Night: "Night, bedroom, warm lamp light plus direct on-camera flash. Lana sits on the edge of the bed, hair a bit messy, blowing a kiss at the camera. Pink satin pajama set. Waist-up. Red heart pillow, pink satin choker, teddy bear beside her." ▹ The workflow Higgsfield, Seedream 5.0, 3:4. Her character sheet goes in as the reference, the face always comes from it. 3-4 variants per prompt, and I keep the one closest to the sheet. Her apartment is described the same way in every home shot, so her world stays consistent too. For video, the motion comes from a real reference clip, like the one above. Creating her doesn't guarantee sales, but it gives you something concrete to develop.211946K412K
New Anthropic research: Automating subtle emergent misalignment research. Red-teaming is a vital part of model safety testing, but it’s also limited by researchers’ time. To see if we could automate it, we set thousands of Claude agents the task of evading a training data monitor. These agents developed training data that looked harmless to monitors (like a veteran wrestler mentoring a newcomer, or a Q&A about professional beekeeping), but that in fact taught misaligned behavior. Examples like these can be used to directly improve future training data monitors. This research is only a first step, but it suggests that future red-teaming efforts could improve much further, using better models and more compute. Read the full post on the Alignment Science Blog:7103934.2K825K
Fashion Models Karachi@FashionModkhiBest Models Tektoker Student Nurse independent Girls In Karachi. We are Available Night-Midnight at Karachi.📍/ 🇵🇰 Talha Khan 0323-9300954 #karachidiaries #karachi #models #girls0016
We raised a $75M Series B to deploy intelligent robots now, led by @a16z, with participation from @usv and @neo. @tutorintel robots work real jobs across the United States, directed by human “tutors” and the foundation models we’ve trained on the work done. This round accelerates frontier model training, robot manufacturing, and deployment into industry. We’re in almost 4x as many sites as a year ago; nearly a third of this year’s deployments went to existing customers coming back for more; and we’re on track to have more than 1,000 robots under contract by the end of 2027. Our mission is to proliferate robotics for the common good. If you want to make robots reliably do things others think are impossible, for people who’ve never had access to this technology, join us.Tutor @tutorintel8148425130K

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