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Explore how AI is reshaping the future of media, production and visual storytelling. 🚀 The pressure to create more content, meet tighter deadlines and maintain quality has never been greater. Join industry leaders from media, film, production and VFX to explore how new technologies are becoming part of the modern production process. Through expert insights, live demonstrations, hands-on experiences and real customer stories, discover practical applications across ideation, content creation and production—and what it takes to move from experimentation to real-world use. What to expect:• Industry insights and emerging production trends • Live demonstrations of the ByteDance Seed family • Hands-on experience with Dreamina Seedance 2.5 • Customer panel sharing real-world production workflows • Networking with peers across the media and creative industry 📍 Sydney: 17 September 2026 👉 Register 📍 Melbourne: 22 September 2026 👉 Register 📍 Auckland: 24 September 2026 👉 Register #BytePlus# #CreativeProduction# #Media# #Film# #VFX# #ContentProduction# #GenerativeAI# #Seedance# #Seedream#
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Empowering the Future of Content Production Supermicro and AMD solutions help studios, filmmakers, and creators accelerate rendering, virtual production, and AI-driven workflows.
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Software engineering is going to feel more like content production / journalism. Ability to gauge demand / vitality becomes more important, but it's ephemeral. Stunts, gimmicks, & culture become more important. Brands become more important.
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In the AI era, content is everywhere, but true authority is rare. Anyone can generate generic articles in seconds, creating a massive digital noise that makes it harder for brands to truly stand out. At BrandAI, we believe that building genuine trust requires moving beyond these automated, surface-level outputs. To cut through the clutter, your strategy must pivot from mere content production to high-value, human-driven insight that resonates on a deeper level. Here is how to win: Lead with proprietary data: Share unique research, original customer case studies, and internal experiments that AI models cannot scrape, predict, or replicate. Embrace technical depth: Move past basic definitions. Write comprehensive, actionable guides that solve complex, highly specific problems for your target audience. Showcase real expertise: Inject your brand’s unique point of view, lived industry experiences, and distinct human perspective into every piece you publish. AI can scale your distribution and optimize your workflow, but only your authentic perspective builds genuine, lasting industry leadership. Do not just publish content—own the narrative.
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FUTUREMODE 2026 Community Partner: @hyperbuilder_hl Hyperbuilder bridges the gap between technical infrastructure and community culture — turning builders into brand champions through content production, merchandise, and APAC community and BD partnerships across Vietnam, Hong Kong, Japan, and Korea. This partnership brings cross-regional builder energy and community-driven growth expertise to the FM26 stage in Taipei. We're looking forward to seeing them in September at #FM26#. FUTUREMODE 2026 📍 Taipei Expo Dome | Sep 4–6, 2026 🌐 🏟 Get your pass: Local - International - #FM26# #FUTUREMODE# #台灣未來祭# #Partner# #Hyperbuilder# #Web3# #Community#
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What if, instead of asking AI to build the same tool again and again, you could teach it your workflow once and reuse it? I used MiniMax Code to turn my content-production system into my new open-source Skill: build-self-media-workbench. The Skill can generate a customized bilingual creator workbench from a simple request. It connects ideas, video projects, tasks, materials and performance reviews in one working web app. The workflow is based on how I actually create content: Idea → Video Project → Tasks → Materials → Publish → Review It can also import official spreadsheet exports such as douyin and tiktok, preserve data locally, create backups and adapt the interface for mobile screens. I used MCode to structure the Skill, define the workflow rules, build the files and test the generated workbench in the browser. Then I installed the Skill and used it to create my own creator workspace. The result is not only one finished app. It is a reusable set of instructions that other creators can customize for their own names, workflows, languages and visual styles. I have now open-sourced the Skill on GitHub: Try MiniMax Code:
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We are building the first AI idol agency with the greatest talents and entertainment agencies around the world. Who do you think we will be partnering with to make significant changes of today's entertainment? #NEXST#'s AI idol agency will be fully powered by NEXST-Gen Alliance and its $NXT treasury. The agency is engineered to not just produce human-like idols and pop music. We are also dedicating 100% efforts in content production, including mini movies, music videos and VR concerts led by AI. Stay tuned for the NEXST official announcement!
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Hermes can now break a big job into phases, then manage the individual tasks underneath each one. Its todo system is no longer limited to one long flat checklist. So instead of: ☐ Build homepage ☐ Add authentication Hermes can now structure the same work like this: ► Build homepage ↳ Create hero section ↳ Add navigation ↳ Build pricing section ↳ Add contact form ► Add authentication ↳ Create sign-in page ↳ Add account creation ↳ Connect auth provider ↳ Handle password reset That is the actual change. A task can now become a parent with its own nested subtasks underneath it. So when Hermes is working through something larger, it no longer has to flatten every piece of work into one list. It can keep the major phases clear, break each one into the work required underneath it, and manage those subtasks individually as the job progresses. And this is more than visual organization. Hermes keeps the parent/subtask relationships intact as work gets updated. If context is compressed during a longer session, that hierarchy is preserved too, so unfinished subtasks still retain the larger task they belong to. Even a completed parent can remain visible while work underneath it is still active. That makes the todo system much more useful for larger coding jobs, research, content production, automations, migrations, business workflows, and anything else where one task really contains several smaller ones.
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