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Dmytro Sharanutsa

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repliedto LH-Tech-AI's post 24 days ago
Announcing The Supra2 Family And Supra2-100M Today, we are announcing a brand-new series of SupraLabs models: Supra2 This series will feature various models, including such as: - 🐜 Supra2-Nano (0.4M) → The smallest Supra2 model. - 🤏 Supra2-Small (1.4M) → The tiny model that runs everywhere. - 💪 Supra2-Medium (25M) → Our medium class model in the Supra2 family. The powerful midsizer. - 🔥 Supra2-Pro (100M): base, instruct, reasoning, code, math and more! → The most capable model yet! A real allrounder for all your everyday tasks. - 🎨 Supra2-IMG → our generative text-to-image model ...and many more... Current progress: - Nano (0.4M) and Small (1.4M): in training; almost done. Baseline set. - Medium (25M): coming soon... - Pro (100M): in training; finishes in 66 hours - Monday, 3rd August 2026, 12:00AM - IMG: coming soon... You can support us with a like and follow if you want! Don't miss our next release! Stay tuned...
liked a model about 2 months ago
Kiliver/RavenX-CyberAgent-Qwen3.6-35B-A3B-Opus-4.7-OpenMythos-Pentester-BugHunter-RATH-GGUF
repliedto NatalieY's post about 2 months ago
Aiden: a physical AI agent that controls phones over USB HID Most GUI agent work assumes the agent lives inside the device or drives it through a debugging interface. We went the other way. Aiden is a small board that sits outside the host. It captures the screen over HDMI-to-CSI, runs the agent loop on-device, and sends actions back as a standard USB HID device — the host sees a keyboard and a mouse, nothing else. No app install, no root, no ADB, no cloud. Runtime is Go. Frame capture, full-duplex audio with VAD, the agent loop, and HID output all run as independent goroutines. There's no backend — nothing leaves the device, which is the only defensible design when the input is a live feed of someone's phone screen. Open questions we haven't solved: · Action verification — inferring success from a re-read of the screen breaks when loading states lie · Prompt injection — an agent that reads screens reads whatever an attacker puts on them · iOS pointer control requires AssistiveTouch Repo, including the HID gadget config and capture pipeline: github.com/AidenAI-IO/aiden-hardware-demo Wrote up how this differs from cloud-based computer use agents here: https://aidenai.io/blog/mobile-ai-agent-vs-computer-use-agent-whats-the-difference/ Note: current hardware is a dev board, not a finished product.
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