Nora Bennett

Netflix and Crunchyroll on a NordicTrack Commercial 2250, without an iFit login, ads or membership nags — built with Claude Code in about a day and a half. u/Beloved_Misanthrope’s girlfriend bought the treadmill a couple of years ago for its big streaming screen. In their experience, everything beyond basic workout con

MiniMax H3 footage generated on an RTX PRO 6000. u/Extension-Yard1918 says the original was generated at 4K; the unedited output has been downscaled to 1080p because of file size constraints. “It’s reaching a point where I no longer envy commercial models,” the creator writes. Источник

Free browser tool to learn, build and test regular expressions, with live matches, JavaScript and PHP/PCRE support, token explanations, tests and a reference. Open source under GPL v3.

Unsloth has released preview Dynamic V3.1 GGUFs for DeepSeek-V4.1-Flash-1017, alongside a size-versus-quality comparison across seven benchmarks. The team could not reproduce ISTA’s reported GSQ-RCO results, even using its highest observed scores. The largest discrepancy was AIME25: a claimed 100% recovery to the basel

Xiaomi-Robotics-U0 is an autoregressive world foundation model that combines image generation with robot-centered spatial and interaction modeling in one multimodal token space. Built on EMU3.5 with an IBQ image tokenizer, it uses one next-token objective across text, images, visual sequences, and robot observations. I

A self-hostable, highly customizable dashboard for homelabs, with status checks, widgets, themes, search, and a UI editor.

Aurora1.0-150M has just been released as the first generation of a 150M model. Its performance is described as similar to GPT2-Small. Reported benchmark scores: PIQA: 62.24% Hellaswag: 32.20% Arc-Easy: 44.91% Arc-Challenge: 25.00% Arithmark 3.0: 33.90% CapitalBench: 36.55% The model was trained on 7B tokens using an RT

An open-source browser-based intelligence console with a photorealistic 3D globe, live public signals, tracking views, sensor styles, and optional hands-free voice control.

Everyone's excited about the promise: chat, coding, agent sessions, live previews - all in one window. Less context switching, they say. And on paper, that's true. But "one place" isn't the same as "one calm place." For accessibility, the real question isn't whether features share a surface. It's whether each mode has

The Gemini 3.5 Transcribe announcement got me thinking, and not just about accuracy scores. Here's the thing about speech-to-text: accuracy is the headline, but it's never the whole story. What actually determines whether someone can use these tools day to day is what happens *around* the transcription. A few moments w

How should an AI tool expose its state across more than one mode? I’m still thinking about it. One possible test: when someone changes mode, can they see the work already in progress instead of reconstructing it from memory? I don’t have a final answer yet. But if the state disappears at the boundary, the tool has made

A prompt box is not a complete interaction model. I keep coming back to what happens when attention breaks halfway through a request. What stays visible? Can the person correct one part without rebuilding everything? Can they tell what the system received? If the only path is “focus, type perfectly, send,” the interfac