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Decentralized LLM training meets transparency—CrowdGPT invites anyone to help build a 1B‑parameter model with full data and weights open to the public.

Explore why LLMs now favor 15‑27B models, their impact on math research, AI sovereignty, and growing safety concerns.

Whistle: Cactus Compute’s 16.9 MB open‑source speech‑to‑text model offers efficient, offline transcription, yet sparks debate over its marketing motives.

Explore Sakana AI’s recursive self‑improvement demo—how iterative AI loops promise skill gains, spark debate, and could reshape knowledge work.

AI now outperforms researchers in “experimental research taste” benchmarks, revealing both strengths and limits of automated scientific evaluation.

Spotlight: Percepta’s new model‑scaling architecture separates intelligence from memory, enabling LLMs to grow knowledge without weight changes or higher compute costs.

Oído, Lokutor’s low‑cost, low‑power speech model for ESP32‑S3, outperforms Whisper‑tiny.en with 3.7 % WER and runs on a $5 board – perfect for edge AI and privacy‑aware devices.

Anthropic’s Claude Opus 5.5 powers faster reasoning, new enzyme discoveries, and fuels a race in AI benchmarks while OpenAI faces a data‑breach scare. Explore the latest industry shifts and why security matters.

Build a six‑GPU, compact HPC rig with an AMD EPYC 7262, ROMED8‑2T motherboard, and six NVIDIA V100 16GB PCIe GPUs to run large language models like Qwen3.8‑Next‑Flash and GLM 5.3 efficiently.

DeepSeek eyes Shanghai IPO as AI shifts to “mecha pilots,” sparking a race in chips, quantum tech and global AI regulation.