AI is not gonna change us 😂

Read your dialogue with all the names covered. If you can still tell who's speaking from the rhythm and word choice alone, you've written distinct voices. If everyone sounds like the smartest person in the room (you), you've got work to do.

Stakes have to be specific and personal, not just big. "The world might end" is abstract. "He'll lose the only person who ever believed in him" lands. Scale impresses nobody if we don't know exactly what this character stands to lose.

🚀 Ready to Create Your First Feature Length Movie? 📷🔥❤️‍🔥 The Ultimate Movie Workflow with WrittaShot: 📷 1. Write or Import Your Screenplay Drop it straight into WrittaShot. 📷 2. Create Shots and prompts with Claude via MCP directly linked to the scenes and turn your scenes into cinematic shots 📷 3. Shoot or Generate Them 📷 4. Smart Tracking WrittaShot automatically saves every image every prompt version for you Your movie. Your vision. Zero chaos. 📷Ready to bring your story to life? 📷Try WrittaShot for FREE writtashot.com #ScreenAwards2026 #AIイラスト #Nvidia #AI #Art #MovieLegends #RTXOn #OUR_SEVEN_LIGHTS #BLUE_LIGHT_GUIDES_US_HOME

Wait! Let me guess! We’re cooking again for the 9999999999999999999999999999 periodic time! #AIcookedbullshit #AI

If it’s not WILD, INSANE, COOKED or OVER it’s not an info. And this is really insanely wild and it is cooking all of us. Basically it’s over.

WrittaShot is now an MCP server. Connect Claude Desktop → WrittaShot Claude reads and helps to correct and write your screenplay, scenes, characters, locations, and shots directly. Use your Claude subscription. No API key. €29 one-time. Mac. Windows is coming. #anthropic #Claude @AnthropicAI @claudeai #writtashot writtashot.com

The Academy just banned AI from acting & writing categories. Good. But let's be honest: AI isn't why box office is down 22%. AI isn't the problem. The lack of original stories is. #oscar #ai writtashot.com/blog/ai-wont-…

AI isn't killing cinema. Spreadsheets did that years ago. Full piece on why AI is the perfect scapegoat for a problem it didn't cause: writtashot.com/blog/ai-wont-…

Elon Musk thinks the entire education system is built on a broken assumption. That every student should learn the same thing. At the same speed. In the same order. At the same time. Musk: “Everyone goes through from like 5th grade to 6th grade to 7th grade like it’s an assembly line. But people are not objects on an assembly line.” The model was designed for a factory economy. Standardized inputs. Predictable outputs. That economy is gone. The assembly line is gone. But the education system still runs on its logic. A student who masters algebra in two weeks sits through eight more weeks because the calendar says so. A student who struggles gets dragged forward because the schedule doesn’t wait. Neither is being served. Both are being processed. Musk: “Allow people to progress at the fastest pace that they can or are interested in, in each subject.” AI doesn’t teach a classroom. It teaches a student. One at a time. Every time. It skips what a student already knows. It finds where they’re stuck and approaches it from a different angle. It adjusts in real time. Not at the end of a semester when the damage is already done. A student obsessed with basketball learns fractions through shooting percentages. A student who builds in Minecraft learns geometry through architecture. The subject doesn’t change. The entry point does. No teacher with thirty students can do this. Not because they lack skill. Because the math doesn’t work. AI doesn’t have that constraint. Musk: “You do not need to tell your kid to play video games. They will play video games on autopilot all day. So if you can make it interactive and engaging, then you can make education far more compelling.” The brain isn’t broken. The format is. Kids learn complex systems and strategic thinking for hours voluntarily. Then walk into a classroom and can’t focus for twenty minutes. That’s not a discipline problem. That’s a design problem. Musk: “A university education is often unnecessary. You probably learn the vast majority of what you’re going to learn there in the first two years. And most of it is from your classmates.” Four years. Six figures of debt. And the real value comes from the people sitting next to you. Not the institution charging you. The degree doesn’t certify knowledge. It certifies endurance. Musk: “If the goal is to start a company, I would say no point in finishing college.” The system was built to train employees. If you’re not trying to be one, it has nothing left to offer you. Every lecture. Every textbook. Every curriculum. Now available instantly. Personalized to any learner. Adapted to any pace. The question isn’t whether the old model survives. It’s how long we keep forcing students through it while the replacement already exists.

WrittaShot: write your screenplay, break it into shots, build character bibles, plan your visuals. One app. WrittaShot.com #screenwriting #filmmaking #indiefilm #buildinpublic #screenplay

From a real screenplay to storyboard prompt! With and without AI! 🔥🔥🔥🔥🔥

Holy shit... Microsoft open sourced an inference framework that runs a 100B parameter LLM on a single CPU. It's called BitNet. And it does what was supposed to be impossible. No GPU. No cloud. No $10K hardware setup. Just your laptop running a 100-billion parameter model at human reading speed. Here's how it works: Every other LLM stores weights in 32-bit or 16-bit floats. BitNet uses 1.58 bits. Weights are ternary just -1, 0, or 1. That's it. No floats. No expensive matrix math. Pure integer operations your CPU was already built for. The result: - 100B model runs on a single CPU at 5-7 tokens/second - 2.37x to 6.17x faster than llama.cpp on x86 - 82% lower energy consumption on x86 CPUs - 1.37x to 5.07x speedup on ARM (your MacBook) - Memory drops by 16-32x vs full-precision models The wildest part: Accuracy barely moves. BitNet b1.58 2B4T their flagship model was trained on 4 trillion tokens and benchmarks competitively against full-precision models of the same size. The quantization isn't destroying quality. It's just removing the bloat. What this actually means: - Run AI completely offline. Your data never leaves your machine - Deploy LLMs on phones, IoT devices, edge hardware - No more cloud API bills for inference - AI in regions with no reliable internet The model supports ARM and x86. Works on your MacBook, your Linux box, your Windows machine. 27.4K GitHub stars. 2.2K forks. Built by Microsoft Research. 100% Open Source. MIT License

Search in your videos just chatting! Locally! Free! #AI #Apple #AppleIntelligence #MacOS #Appstore apps.apple.com/it/app/chat2e…