It's happening. The Motion Picture Association just told ByteDance to "immediately cease" Seedance 2.0, calling it "massive copyright infringement." But we've seen this movie before. The MPA said the exact same thing about Sora. Then Disney licensed 200 characters to OpenAI. Hollywood's playbook: panic → sue → license → profit. Problem: ByteDance isn't OpenAI. China doesn't take the meeting. @aipost 🏴

Still kinda hot tbh @aipost 🏴

Dario predicts trillions in AI revenue likely before 2030, and “country of geniuses” by 2028. @aipost 🏴

🇨🇳 China's AI powered car inspection system scans through over 1,000 functions in just 3 hours. @aipost 🏴

OpenAI recently warned congress that China is distilling US models. @aipost 🏴

Another insane Seedance 2 example. Actors will simply license their image moving forward and AI models will do all the actual “acting”. @aipost 🏴

OpenClaw’s creator, Peter Steinberger is joining OpenAI to help bring AI agents to more people. @aipost 🏴

Seedance 2 is already making full cinematic short films. Time is running out on Hollywood... @aipost 🏴

🔥A new SOTA image-editing model named FireRed-Image-Edit just got released. Outperforms many top closed source options like Qwen-Image-Edit and Seedream 4.0, on GEdit benchmarks. It’s a general-purpose image editing model that delivers high-fidelity and consistent editing across a wide range of scenarios. Built straight from text to image foundations instead of simple add on patches, it shows much stronger native editing power. Available under Apache 2.0 license, this model runs completely local and delivers major improvements over earlier tools. GitHub: https://github.com/FireRedTeam/FireRed-Image-Edit Huggingface: https://huggingface.co/FireRedTeam/FireRed-Image-Edit-1.0 @aipost 🏴

🧠 ChatGPT prompts to help you learn anything 10x faster 1. Explain Like I’m 5 “Summarize [topic] in the simplest terms possible, like you’re explaining it to a 5-year-old.” 2. Visualize the Process “Create a step-by-step mental image or visual map of how [concept] works.” 3. Break It Into Chunks “Divide [topic] into 3–5 main parts and explain each part briefly.” 4. Relate to Real Life “Explain how [topic] connects to daily life or a practical situation I might encounter.” 5. Teach It Back “How would I teach [topic] to someone who knows nothing about it?” 6. Ask the Critical ‘Why’ “Why does [concept] matter, and what are its key implications in [field]?” 7. Find the Patterns “What patterns, formulas, or rules can I extract from [topic] to remember it better?” 8. Simulate or Practice “Give me a simple example, scenario, or exercise to apply [topic] right now.” 9. Use Analogies “Compare [topic] to something familiar or unrelated to make it easier to understand.” 10. Break Myths