Posts tagged "ai"
10 posts tagged with ai.
LiteLLM 1.107.0 Was Compromised: How to Check and What to Rotate
Attackers pushed a credential-stealing LiteLLM 1.107.0 to PyPI and Docker on October 21, 2026. Here is how to check your machines safely, clean up, pin 1.106.2 and rotate secrets.
NVIDIA RTX Spark Laptops: Apps, Games, Local AI and Price
NVIDIA's Arm-based RTX Spark laptops are on sale from $2,599. Which Windows apps and games run, what 128 GB of shared memory does for local AI, and who should wait.
What Is Unified Memory? How It Differs From VRAM, and How Much You Need
Unified memory is one pool of RAM shared by the CPU and GPU. How it compares with VRAM, why it lets laptops run big AI models, and how much you need.
Can You Run Muse Spark Open Locally? Memory at Every Quantization
Muse Spark Open has 816 billion parameters and needs about 260 to 300 GB even at 2-bit. Memory for every quantization, and which machines can run it.
What Is Mixture of Experts? Why MoE Models Are Fast but Huge
A mixture-of-experts model uses only a few of its expert networks per token. How routing works, total vs active parameters, and why MoE still needs memory for every expert.
Why Browser Vocal Removers Sound Worse Than AI Tools (And When That's OK)
A free browser vocal remover does center-channel cancellation in ten lines of JavaScript. An AI tool runs a neural network trained on tens of thousands of stems. Here's why the AI sounds dramatically better, when the simple math is enough, and the honest tradeoffs between privacy, speed, and quality.
How OpenAI Whisper Turns Audio into Text
Whisper handles 99 languages, accents, background noise, and code-switching better than anything before it. We unpack the encoder-decoder transformer architecture that made it possible.
How Optical Character Recognition (OCR) Works
OCR turns pixels back into text — a problem that took decades to crack. We trace the journey from template matching through Tesseract LSTMs to modern multimodal models.
How AI Image Upscaling Beats Bicubic Interpolation
Old image upscaling guesses pixels with smooth math. AI upscalers like ESRGAN and Real-ESRGAN hallucinate plausible detail learned from millions of images. Here's the difference and where each fails.
How AI Background Removal Actually Works
From U-Net segmentation to modern transformer-based matting, we walk through how a single neural net can isolate a foreground subject in a photo, and why edges and hair are still the hard parts.