Finally, a unified backend framework to build and scale AI Agents! Motia is a backend framework that brings together AI Agents, APIs, background jobs, streams and workflows into a single core primitive. 100% Open Source
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Tool Call Outputs as Container Files: Data Processing Possibilities
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Can tool call outputs directly become files in the container? I’d really want that – open up a ton of data processing possibilities.
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Deploying Tiny Vision Language Models on Jetson Nano
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📢 Getting Started with VLM on Jetson Nano
— Satya Mallick (@LearnOpenCV) 10 septembre 2025
Tiny Vision Language Models (VLMs) like Moondream2, LiquidAI’s LFM2-VL, Apple’s FastVLM, and Huggingface’s SmolVLM2 are bringing vision-language capabilities to the edge. In this tutorial, LearnOpenCV demonstrates how to deploy and run… pic.twitter.com/Rj7aIs4JslGetting Started with VLM on Jetson Nano Tiny Vision Language Models (VLMs) like Moondream2, LiquidAI’s LFM2-VL, Apple’s FastVLM, and Huggingface’s SmolVLM2 are bringing vision-language capabilities to the edge. In this tutorial, LearnOpenCV demonstrates how to deploy and run
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NCCL Timeout Issue with Qwen3 LLM Engine Initialization
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`accelerate test` works with the default config… But the script above hangs for 10 minutes likely due to the NCCL timeout. Somewhere between these two log lines: INFO [core(.)py:74] Initializing a V1 LLM engine (v0.10.1.1) with config: model='unsloth/Qwen3-4B-Base'
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Training Qwen3 Multi-GPU Setup with Accelerate Library
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Anyone manage to get Qwen3 to train on multiple GPUs using `accelerate`? With a fresh install, I can't get even SFT to work with two 3090s.@UnslothAI The demo notebooks are nice, but a reproducible script known to work would be great, ideally with version dependencies pinned! https://t.co/8FkFpC3pdO
— Alex J. Champandard 🌱 (@alexjc) 10 septembre 2025Anyone manage to get Qwen3 to train on multiple GPUs using `accelerate`? With a fresh install, I can't get even SFT to work with two 3090s. @UnslothAI The demo notebooks are nice, but a reproducible script known to work would be great, ideally with version dependencies pinned!
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FFmpeg container installation and available binaries documentation
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Also could you install ffmpeg into the container? And provide a documented list somewhere of all of the available binaries – I just had to create one myself https://
claude.ai/share/c9bd85ba
-71d2-4c4b-a49d-07924b657f61
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Claude iPhone App: Persistent Code Execution Despite Connection Loss
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Here is a big one: I switched tabs on my iPhone and it looks like the code execution was interrupted – I would very much like it if the code and reasoning kept on running even if my connection drops (I also really want this in the Claude iPhone app)
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Claude Artifacts Feature Update: JavaScript Analysis Tool Replaced
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You mean Artifacts? That's still supported – the thing they've replaced is the "analysis tool" feature that can run simple snippets of JavaScript to do things like arithmetic
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Claude’s New Feature Proves Useful for Code Interpretation Tasks
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This wasn't a hard task and I'm sure ChatGPT Code Interpreter would provide equivalent results, but it's still good confirmation for me that Claude's new feature is genuinely useful for the kind of things I want to run through it – more on Claude here: