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Multi-source AI news clustered, deduplicated, and scored 0–100 across authority, cluster strength, headline signal, and time decay.

  1. TOOL · dev.to — LLM tag English(EN) ·

    We trained a personal voice DoRA on Qwen3-8B for $1.50 — beat stock model 100% in blind A/B

    A developer successfully trained a personal voice adapter using DoRA on the Qwen3-8B model for just $1.50. The process involved using 6,128 personal Telegram messages to fine-tune the model, resulting in an adapter that outperformed the base Qwen3-8B model in blind A/B testing. This method also demonstrated no significant degradation in general knowledge tasks and produced a voice that was perceived as more representative of the individual than their own actual writing. AI

    IMPACT Demonstrates a highly accessible and cost-effective method for personalizing LLM voice, potentially enabling widespread custom voice applications.

  2. RESEARCH · TLDR AI English(EN) ·

    Qwen 3.7 🤖, Cursor Composer 2.5 👨‍💻, Anthropic acquires Stainless 🛠️

    Qwen has released version 3.7 of its language model, which features a specific circuit for political censorship that can be modified without losing factual knowledge. NVIDIA's Cosmos Predict 2.5 model can now be fine-tuned for robot video generation using efficient LoRA/DoRA methods. Additionally, the new HRM-Text model offers a more accessible and cost-effective approach to pre-training foundation models. AI

    Qwen 3.7 🤖, Cursor Composer 2.5 👨‍💻, Anthropic acquires Stainless 🛠️

    IMPACT New model releases and fine-tuning techniques offer improved control and accessibility for AI development.

  3. MEME · Mastodon — fosstodon.org English(EN) ·

    The presentations from BSides Bratislava 2026 are now available! 🎤💻 We are happy to share the amazing presentations delivered by our speakers during this year’s

    The presentations from the BSides Bratislava 2026 cybersecurity conference are now publicly available. These talks cover a range of topics including AI, DORA, and threat intelligence. The organizers expressed gratitude to all speakers for sharing their expertise. AI