Lounge›Insight
Key concepts and the latest issues in crypto, stocks and AI, explained
Lounge›Insight
Key concepts and the latest issues in crypto, stocks and AI, explained

Can small AI models spread across cheap smart devices, and can a model hide what it knows from safety evaluators? Here is what three recent studies actually tested, and what they did not.

LTX-2.5 is an open-weight model from Lightricks that turns text, images, video and audio into clips with synchronized sound. Here is what changed in 2.5, what hardware the docs ask for, and how the community license treats commercial use.

The BF16 weights are around 50GB, so most people run Qwen3.8-27B as a community GGUF quant. Here is how each quant level trades file size against quality, and what fits on 16GB and 24GB GPUs or Apple Silicon.

Google DeepMind's EmbeddingGemma 2 brings text, code, image, video and audio into one vector space. Here is what the model card says and how to evaluate any embedding model for your own retrieval pipeline.