DiffusionGemma: 4x faster text generation★ 74
Google DeepMind Blog4 days agoReleaseGoogle’s DiffusionGemma is an Apache 2.0 experimental open model using text diffusion instead of standard autoregressive decoding. The 26B MoE model activates 3.8B parameters during inference and is designed for low-latency local workflows. Google claims up to 4x faster generation on dedicated GPUs, while noting that output quality is below standard Gemma 4 and production-quality use cases should still prefer Gemma 4.
NotebookLM Upgrades Into an Agent That Proactively Conducts Research★ 72
INSIDE 硬塞 AI4 days agoReleaseGoogle is upgrading NotebookLM from a note-focused assistant into a research agent capable of multi-step work. The updated tool can analyze across documents, search the web, and help automate broader research workflows. It can also export results into formats such as presentations and documents, making it more useful for students, researchers, educators, and content creators who need to move from source material to finished outputs.
Anyone seen benchmarks comparing Gemma 4 4-bit QAT vs. 8-bit standard quants?
r/LocalLLaMA top day5 days agoBenchmarkA r/LocalLLaMA user is looking for benchmarks comparing Gemma 4 4-bit QAT models, via Unsloth, against standard 8-bit non-QAT quantized models. They understand QAT is expected to preserve much of the BF16 baseline accuracy, but want hard numbers against traditional 8-bit PTQ. The post highlights scattered feedback but no clear head-to-head evaluation yet.
NotebookLM’s Gemini 3.5 upgrade adds a cloud computer and help finding sources
The Verge AI6 days agoReleaseGoogle is rolling out broad updates to NotebookLM, its AI-powered note-taking and research app launched in 2023. The app now uses Google’s upgraded Gemini 3.5 model, which the company says should provide more accurate and reliable responses. The update also adds a cloud computer and help finding sources, expanding NotebookLM beyond source-based Q&A into a broader research assistant workflow.
[3090] Gemma4 QAT + MTP quick TPS numbers
r/LocalLLaMA top day6 days agoBenchmarkA r/LocalLLaMA user shared quick throughput numbers for Gemma4 QAT with MTP speculative decoding on an RTX 3090 24GB setup. They report roughly 1.2-1.8x TPS improvement, with Gemma 4 31B moving from about 40 tok/s to 70-80 tok/s. The author frames this as a rough benchmark, using 11 task categories and noting stochastic variation from temp 1.0.
How LLMs Actually Work
Hacker News (AI keywords)10 days agoTutorialThe article explains how modern LLMs convert text into token IDs, embeddings, and position-aware vectors before passing them through stacked transformer blocks. It covers attention, multi-head attention, KV cache, GQA, feed-forward networks, MoE, residual streams, normalization, and decoding. Its goal is educational: helping readers understand the common architecture behind many current model families and read model cards or papers more confidently.
代理人時代的 AI 選擇指南：不再只是聊天機器人★ 85
One Useful Thing (Mollick)116 days agoTutorialProminent scholar Ethan Mollick, in his latest article, points out that we have officially crossed beyond the era of simple "Chatbots" and entered what he…
Google DeepMind 推出 Gemini 3 Deep Think：專為科學、研究與工程設計的深度推理模式★ 90
Google DeepMind Blog122 days agoReleaseOn February 12, 2026, Google DeepMind announced the launch of its most advanced reasoning mode update — Gemini 3 Deep Think. This model is Google's…
Gemini Deep Think 加速數學與科學發現：學術研究展現其跨領域的強大推理影響力★ 82
Google DeepMind Blog125 days agoCommentaryGoogle DeepMind recently published an article exploring how its deep-reasoning model, "Gemini Deep Think," is transforming the landscape of mathematics and…
AI 如何為北愛爾蘭教師贏回時間：Google Gemini 試點計畫每週幫教師省下 10 小時
Google DeepMind Blog216 days agoReleaseThis official blog post from Google DeepMind details how AI is making a tangible impact in educational settings and helping to reduce the burden on teachers…
Gemini 2.5 Deep Think 於 ICPC 國際大學生程式設計競賽世界總決賽中達到金牌水準★ 85
Google DeepMind Blog233 days agoReleaseGoogle DeepMind has announced that its latest reasoning model, "Gemini 2.5 Deep Think," has achieved gold-medal-level performance at the International…
2025 年末 AI 實用指南：Ethan Mollick 的主觀使用建議★ 85
One Useful Thing (Mollick)237 days agoTutorialWharton School professor Ethan Mollick has put together a highly personal and practical operating guide for the AI landscape of late 2025. He emphasizes that…
與魔法師共事：在參差不齊的技術前沿驗證 AI 的魔力★ 85
One Useful Thing (Mollick)275 days agoOpinionUniversity of Pennsylvania Wharton School professor Ethan Mollick, in his latest article, compares the experience of collaborating with generative AI (such as…
立即上手 AI：實用快速指南 (Ethan Mollick 著)★ 85
One Useful Thing (Mollick)356 days agoTutorialUniversity of Pennsylvania Wharton School professor Ethan Mollick recently published an extremely practical AI quick guide, "Using AI Right Now: A Quick…