Talk: how a back-office AI agent went from 41% to 97% accuracy

A r/StableDiffusion gallery runs one fixed prompt across fast image models, including turbo variants and H3-image, with no LoRA, to compare raw skin rendering. The prompt targets subsurface scattering, vellus hair visible only in rim light, and non-airbrushed tone variation.

A LoRA trainer built a web page that turns booru image tags into paste-ready prompts for ComfyUI, Forge and A1111, targeting Illustrious, Pony, SDXL, Anima, FLUX.2, Krea 2 and MOSS-Image. The author says the project took about two years to polish.

TypeSafe argues Jev belongs at a narrower layer of abstraction than a single all-encompassing Choice question, warning that stuffing business logic into criteria prose leads to "prompt gymnastics." The post says the system already knows most outcome criteria and only some requires judgment.

Hugging Face blog post introduces Phonon TTS, pitched as high-quality on-device text-to-speech that tops benchmarks. The post offers a closer look at the model's design and performance.

The guide projects 43,339 English words onto a 2D map using real embeddings from Kanon 2 Embedder for a GeoGuessr/Wordle-style trivia game. It covers semantic search, hierarchical retrieval, zero-shot classification, clustering and deduplication, with Python snippets and no programming experience required.

On personal accounts, Google's "Keep Activity" setting governs whether Gemini chats can be used for training, and turning it off or using temporary chats is the only opt-out. Deleted chats may be retained for up to 3 years, and transcripts may be read by human reviewers.

Denise Herzing's Wild Dolphin Project is working with Georgia Tech and Google DeepMind to find patterns in decades of dolphin audio and video, after a roughly 40-year wait for the tools. An underwater wearable computer plays dolphin sounds tied to objects like a scarf and sargassum, though distinguishing mimicry from understanding remains hard.