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sonorama
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sonorama
@hellosonorama
filmmakers & engineers forging the next gen of creative tools for professionals
Katılım Kasım 2025
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At Sonorama, we are replacing manual wiring with an autonomous multi-agent framework. By managing the underlying Project State, we guarantee perfect cinematic continuity from script to final cut.
Stop wiring nodes. Get back in the director's chair.
Pradip Romay@pradip_romay
Every major generative video platform trying to offer "control" has defaulted to node-based workflows. It’s a massive mistake. Every hour you spend stitching nodes together is an hour stolen from the actual creative process. You shouldn't have to wire a motherboard just to direct a scene.
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Every major generative video platform trying to offer "control" has defaulted to node-based workflows. It’s a massive mistake.
Every hour you spend stitching nodes together is an hour stolen from the actual creative process. You shouldn't have to wire a motherboard just to direct a scene.
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Watched the livestream today with my co-founder. Great presentations and a very strong group of startups overall. We just submitted our application for the next cohort. We are ready @speedrun @a16z
a16z speedrun 🧊@speedrun
60 teams are presenting today, and the pressure is high. Over 1,000 are expected to attend live, with more than 10,000 viewing live online.
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sonorama retweetledi
The entire debate right now is whether AI will ever generate a full movie by itself, or if it will just destroy Hollywood.
I remember similar arguments when CGI emerged.
Cameras don't make movies. CGI doesn't make movies. Storytellers do. AI is just the newest tool to get those ideas onto the screen.
Michael@TheMG3D
They say it’s over for Hollywood but movies like Project Hail Mary made 140 million worldwide on opening weekend and Hoppers has made over 242 million worldwide since its release. Where are these AI movies they keep taking about?
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@Techstars Think Claude Code, but for professional video production.
sonorama.io
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“AI agents running across compute cluster megastructures in the skies” AK
Andrej Karpathy@karpathy
I packaged up the "autoresearch" project into a new self-contained minimal repo if people would like to play over the weekend. It's basically nanochat LLM training core stripped down to a single-GPU, one file version of ~630 lines of code, then: - the human iterates on the prompt (.md) - the AI agent iterates on the training code (.py) The goal is to engineer your agents to make the fastest research progress indefinitely and without any of your own involvement. In the image, every dot is a complete LLM training run that lasts exactly 5 minutes. The agent works in an autonomous loop on a git feature branch and accumulates git commits to the training script as it finds better settings (of lower validation loss by the end) of the neural network architecture, the optimizer, all the hyperparameters, etc. You can imagine comparing the research progress of different prompts, different agents, etc. github.com/karpathy/autor… Part code, part sci-fi, and a pinch of psychosis :)
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sonorama retweetledi
We gave our Environment Agent full control of the generation pipeline today.
The difference is night and day. When the agent owns the workflow and communicates directly with the model (without translation layers) this thing is absolutely cooking.
#sonorama
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Agreed. As code becomes abundant, the premium on UX and solution quality skyrockets.
Single agents will likely be personal utilities users spin up themselves. The real moat is orchestrating multi-agent systems to handle the complexity they can't, wrapped in a seamless experience.
Pete Koomen@koomen
Things that seem important if you’re building software right now: 1. You can write code quickly now 2. Competitors can too 3. So can your users 4. If it takes more than a few clicks an agent should be able to do it 5. Users probably want to use their own agents
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