🌍 AI creators, don’t miss this! Registration is now open for the Global AI Creators Online Summit. Co-hosted by Zhihu Haiyan (知乎海盐) × @ViduAI_official × @SmallWOD , the summit brings together pioneers across AI video, short-form drama, film and creative technology to share what’s working — and what’s next. On the agenda: ✨ Emerging trends in AI-powered creation 🎬 Breakdowns of standout content and viral hits 🛠️ Real-world creative workflows 💼 New paths to monetization 🤝 Global collaboration and co-creation Whether you’re an AI video creator, filmmaker, director, designer or just beginning to explore AI creation, you’re welcome to join. 📅 Aug 13 · 11:00 AM Beijing 🌎Aug 12 · 8:00 PM Los Angeles 💻 Online · Free registration 🎟️ Register here: 🚀 Join the SmallWOD global AI creator community and explore AIGC creation and co-creation opportunities with Zhihu Haiyan. 🔑 SmallWOD invitation code: VIDUAI #AICreators# #AIGC# #AIVideo# #CreativeAI# #Filmmaking#

Great energy at today's CineGen, where AI meets filmmaking! Nothing beats connecting with the creators and filmmakers face-to-face — sharing ideas, aligning on what’s next, and building the momentum that drives us forward. Huge shoutout to Andrew “Squid” Montanez, Jason Kent Carpenter, and Tony Shyu for making this happen. Your support made all the difference. Excited for what’s ahead. Let’s keep building! #TopviewAI# #AIVideo# #AIFilmMaking# #GenerativeVideo# #LosAngelesCreators# #AICreators#

Want a sneak peek at the new AI cinema hitting Fairground AI Creator TV? As we start rolling out our next wave of programming, here are four upcoming films and series we can't wait to see on the channel. Red Rainbow: Created by Aze Alter (@AzeAlter), this Phantom X (@PhantomX_ai) original is set in The Capital, a high-tech underground utopia of absolute safety and unity, where perfection harbors its own unsettling quirks. The Last: Created by Diane Laidlaw (@misslaidlaw), The Last examines the unintended consequences of technology and what we risk losing in the pursuit of progress. Thought-provoking, cinematic, and urgent. NOCTARI 3 & 4: Jakob Söe-Pedersen's hit series continues with its next two chapters. In SHADOW REALM and THE NEW ORDER, follow Nino, Scarecrow, Tinman and the Captain as they navigate a mirror reality. the series has great action, characters and a wonderful plot if you're new to NOCTARI. Cryptid Dating Game: Created by BLVCKL!GHT (@BLVCKLIGHTai), according to him it's the only show banned in 14 dimensions and mandatory viewing in 3 hells. Watch if you dare! And that's just the start. Follow along for more sneak peeks, upcoming releases, and creator spotlights. Watch free on Roku (channel 300), LG (channel 249), Prime Video, Xumo Play, and upcoming platforms. #AIFilm# #AICinema# #AICreators# #aifilmmakers# #aivideo#

Introducing Fairground AI Creator TV, the industry's first AI-only FAST channel! Fairground Entertainment is launching the first-ever FAST channel built exclusively around AI-generated content, debuting across 5+ connected TV and FAST platforms this August. For the first time, AI Cinema streams directly to audiences already watching FAST channels on major platforms. Live 24/7 with primetime shows, programming blocks, and the most innovative content being made with AI today. The lineup features over 100 creators and visual artists alongside 40 studios, including: - Kelly Boesch (@kellyeld) - Phantom X - Kavan the Kid (@Kavanthekid), Mike J Mitch (@mikejmitch) and S.A.V (@FilmsBySav) - Ryan Phillips (@Uncanny_Harry - BLVCKL!GHT (@BLVCKLIGHTai ) - Wonder Studios (@WonderStudiosX) - MASSIVE STUDIOS (@ai_massive) - Machine Cinema's accelerator program (@MachineCinemaAI) Along with a long roster of talented creators that can't all be listed here! Fairground's Founder & CEO Colin Petrie-Norris (@cpetrien) calls it a "genuinely groundbreaking moment for this medium." The goal is simple: bring AI Cinema to entirely new audiences, people who have never encountered this art form before, and to do it at scale across the connected TV ecosystem. Stay tuned for more updates. We'll be announcing shows, platforms, and more in the coming weeks. Are you a Creator who wants their film on TV? Check out: #AI# #GENAI# #AICinema# #FAST# #ConnectedTV# #AICreators#

Dreamina AI Creator Meetup · Tokyo 🇯🇵 Excited to share that on August 27, Dreamina AI is bringing our Creator Meetup to Tokyo, together with Hagia and SideHustle. Works We’re looking forward to meeting filmmakers, designers, AI creators, and creative communities in and around Tokyo for an evening of screenings, conversations, and new ideas. We’ve also launched a Open Call for creators across Japan. Selected films will be screened at Studio Earth, an amazing venue with a 20-meter-wide circular screen. We can’t wait to see what creators will make with Dreamina AI and Seedance 2.5. See you very soon, Tokyo! 🎫 Join the meetup: 🎬 Submit to the Open Call: #DreaminaAI# #Seedance25# #Tokyo# #Japan# #CreatorMeetup#

Fairground is honored to be part of the inaugural AI Creator Day. AI Creators and Filmmakers are producing amazing work, earning them millions of followers and hundreds of millions of views globally on social media. So what comes next? Founder & CEO Colin Petrie-Norris (@cpetrien) will be joining the panel "From AI Tools to Audience Hits: Building What's Next" alongside Chris M. Williams (@chrismwil), the Founder & CEO of @pocketwatchhq. They will be digging into new models for creator-driven entertainment, including how AI-native content is making its way from digital platforms to the biggest screens in the home. This is a timely conversation for us. Fairground has spent the last few months bridging the gap between the incredible, hard work of the AI filmmaking community and real distribution, getting that content in front of FAST channel viewers on major CTV platforms. As our community's work now airs on major platforms in front of new audiences, we're excited for Colin to share what Fairground is doing to lead this charge. We're also looking forward to hearing from some of the other speakers at the event: Jagger Waters (@glamoureptile), Caleb Ward (@calebwward), Verena Puhm (@verenapuhm), Shira Lazar (@shiralazar), among others. A special thank you to @TheWrap and @WhatsTrending) for putting together such an important event for our industry.

I'm hiring 10-20 full-stack creators. Post-AI, there are few sustainable moats left in business. One of them is trusted distribution...and we're going all-in. We are building out a bench of AI builders, who get tons of energy doing four things: 1) Staying on the frontier of AI 2) Building cool sh*t with AI 3) Creating content to educate others about AI 4) Leading AI workshops for big enterprises @tenex_labs was founded on the thesis that high-quality, ICP-focused content builds trust at scale & accelerates business outcomes. This has proven to be violently true. I was our first full-stack creator. Then @JJEnglert was a fast follow. We're also turning all of our employees at Tenex into creators (more coming very soon). And in doing so, >50% of our customers, partnerships, and hires have come through our content. Further, we have spent $0 on marketing/sales. I believe being a full-stack creator is and will continue to be one of the highest status roles in business & I want to make our company the home & platform for the best and brightest AI creators. Who's a good fit for the role? Any of the below... - Devrel professional - Engineer/PM with experience creating content - Full-stack creator who's been nerd-sniped by AI - Part-time creator outside of your FT job JD & application here:

Deep|LLM: Jev Users Report 10× Faster and 54.5× Cheaper Than the Models They Replaced; Only 3.7% in Production Jev is a “decision model” from TypeSafe AI, released September 15, 2026 and opened to all users on September 20. It does not generate text. It answers questions with a fixed answer set: pick an option, score on a scale, or judge true/false, and attaches a confidence score. The launch quickly gathered industry interests, and some investors were asking whether it’s a significant negative to compute demand. As we addressed in our report earlier, we disagree with that concern and believes Jev is more of an interesting trial with limited impact on LLM. To analyze Jev further, we decided to have a deep dive into what Jev use cases are really about. This note covers 6,277 public discussions and use cases from the first 7 days; 2,153 are from people who actually used or tested it. -Demand sits on fast decisions with a fixed answer set. No single use clears 20%. Of the 1,284 cases with an identifiable use, the largest groups are real-time control in games, robots and simulations (18.8%), agent control decisions (16.1%) and content classification (15.7%). -Indie developers dominate the conversation; big-company engineers barely show up. Of the 2,140 authors whose role we could identify, 35.9% are indie developers, 23.4% are AI creators and KOLs, and just 2.7% are engineers at large companies. -Speed: 10× faster than the model it replaced or was tested against. Median user-reported speed-up is 10× (n=72): 10× vs frontier models, 5× vs small models. In the 16 cases with latency for both Jev and the prior system, Jev’s median is 300 ms vs 2,924 ms. The vendor’s 193.6× is a peak against the most expensive model. -Cost: 54.5× cheaper than the comparison model; the saving depends on what it replaced. Median user-reported cost multiple is 54.5× (n=56): 188× vs frontier models, 17× vs small models. The vendor’s own comparison with GPT-5.6 Terra is about 76×; the 444.6× in marketing is a peak against the most expensive model. -Accuracy: Jev and the systems it replaced each win some head-to-heads; gaps are small. In the 17 cases with accuracy for both, Jev is ahead in 10 and behind in 7; median gap is 1.6 percentage points. Of 241 cases that assessed accuracy, 83 rated Jev better and 65 worse. -Jev’s confidence scores miss by about 10 percentage points on average, and run clearly high on unfamiliar rating questions. Median user-measured ECE (expected calibration error: average gap between stated confidence and actual accuracy; 0 is perfect) is 0.097 (n=27). An independent test on unfamiliar tasks found 0.107 overall, but 0.325 on rating questions, where Jev was right only 44.7% of the time. -Developers put cheap small models next to Jev almost as often as the strongest large ones. Of the 432 cases that name a comparison model, 48.6% mention open or small models and 59.7% mention frontier models. -Criticism is common. Abandonment after trying Jev is not. 25.1% of all 6,277 cases contain criticism and 40.6% contain praise, but only 1 of the 2,153 hands-on cases ended with Jev being dropped. -Production use is still rare. Most activity is experimental. 80 of 2,153 hands-on cases (3.7%) are in production; prototypes, side projects and trial demos make up 62.4%. Seven days of data: treat this as a baseline, not a run-rate. Detailed Report

💋Promo for Fans Group 💋 💋Tele 💋FREE Trial to my VIP 💋40 Best Sex Bundle for FREE @acreatorslab @kinkyfreefuxx @kinkyfreefuxxxx