Mistral AI Raises $830 Million in Debt For Nvidia-Powered Data Center - WSJ
Mistral AI Raises $830 Million in Debt For Nvidia-Powered Data Center WSJ
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I Put VS Code, Claude, and a Terminal Inside a File Manager I built using React and Rust — Here's What Happened
Remember when file managers were just... folders and files? I got tired of switching between Finder, VS Code, Terminal, and ChatGPT every 30 seconds. So I built a file manager that has all of them built in. It's called Xplorer , it's free, and I just shipped the first alpha. The "Why" — File Managers Haven't Changed Since 2005 Think about it. Your code editor got AI autocomplete, your browser got extensions, your terminal got split panes. But your file manager? Still the same grid things... I wanted one app where I could: Browse files Preview code with syntax highlighting Ask AI "what's in this PDF?" Run git commands Open a terminal Install extensions So I built it. What It Looks Like VS Code Vibes, But For Your Files Multi-tab browsing, split panes, file tree sidebar, AI chat — all in one
Priceless items are easy to steal. They're increasingly harder to sell.
Criminals are growing bolder, stealing priceless art , jewels and truckloads of goods — but it's harder than it looks for them to cash in on their heists. Why it matters: Because massive heists immediately dominate global news cycles, thieves quickly find themselves stuck with highly recognizable merchandise that even underground buyers are too afraid to touch. Driving the news: Thieves smashed into a small museum in the Italian countryside late last month, stealing three paintings worth over $10 million — a Renoir, a Cézanne and a Matisse. The operation took three minutes, and authorities are still investigating. The theft follows a similar heist last year at Paris' Louvre Museum, where thieves stole $104 million worth of France's crown jewels. Police arrested several suspects, but the na
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Speed difference on Gemma 4 26B-A4B between Bartowski Q4_K_M and Unsloth Q4_K_XL
I've noticed this on Qwen3.5 35B before as well, there is a noticeable speed difference between Unsloth's Q4_K_XL and Bartowski's Q4_K_M on the same model, but Gemma 4 seems particularly harsh in this regard: Bartowski gets 38 tk/s, Unsloth gets 28 tk/s... everything else is the same, settings wise. This is with the latest Unsloth quant update and latest llama.cpp version. Their size is only ~100 MB apart. Anyone have any idea why this speed difference is there? Btw, on Qwen3.5 35B I noticed that Unsloth's own Q4_K_M was also a bit faster than the Q4_K_XL, but there it was more like 39 vs 42 tk/s. submitted by /u/BelgianDramaLlama86 [link] [comments]
Gemma 4 - 4B vs Qwen 3.5 - 9B ?
Hello! anyone tried the 4B Gemma 4 model and the Qwen 3.5 9B model and can tell us their feedback? On the benchmark Qwen seems to be doing better, but I would appreciate any personal experience on the matter Thanks! submitted by /u/No-Mud-1902 [link] [comments]
Kokoro TTS running on-device, CPU-only, 20x realtime!!!
I wanted a reading app where you could read, read and listen or just listen to books with word-by-word highlighting synced to TTS and i wanted the voice to actually sound good. This turned out to be a really hard challenge with Kokoro on iOS, here's what I ran into: Using MLX Swift is great but uses Metal. iOS kills Metal access the moment you background the app. If your use case needs background audio, this is a dead end. ONNX Runtime on CPU fixes the background problem, but the monolithic Kokoro model only runs at 2-3x realtime. After 30 minutes of sustained generation my phone was scorching hot. What actually worked: I split the monolithic model into a multi-stage pipeline and replaced part of the synthesis with native code on Apple's Accelerate framework. That got it to 20x realtime on
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