Eliza Hartmann

TokenGate boosts LLM prefill speeds by up to 11×, while Qwen 3.8 Flash Next and Lure‑TTS show high‑speed inference on local hardware—AI power, faster and more accessible.

Boost LLM inference on a modded RTX 3080 20GB with P2P + ReBAR unlocks—achieving up to 115% faster prompt prefill speeds in tensor‑parallel mode.

Unverified reports claim Chinese LLMs shift from strict political refusals to humorous answers when manipulated with Jacobian Lens tools – a controversial insight into AI interpretability and security.

New Lure‑TTS and Lure‑Turbo models cut TTS latency 4× faster and let you tag emotions, laughs, and voice cloning—all on consumer‑grade GPUs.

Explore how AI tackles tinnitus and complex neurological disorders—discover the science, volunteer opportunities, and market insights.

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

ETH Zurich’s G1 robot uses just 10 min of human data to climb ladders and navigate terrain—showing a leap in efficient robotic locomotion that could reshape labor markets.

Discover how Qwen-Flash-Next’s speed varies with hardware and quantization – from 5,600 t/s on RTX 5080 to 70 t/s on modest GPUs.

Discover the week’s hottest GitHub repositories, from AI desktop companions to markdown editors, ranked by 7‑day star growth and spotlighting the most innovative tools of 2024.

AI hardware security faces new threats as OpenAI warns of AI‑driven exploits, while companies block TV reverse‑engineering and boost GPU performance with CMP170HX. Click to learn how these shifts reshape AI safety and efficiency.