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Gemini 3.8 Live 发布，支持实时数字人化身功能

根据最新消息，Gemini 3.8 Live 正式推出，并引入了实时化身（Live Avatar）交互功能。该功能预计将为多模态实时交互带来具有视觉形象的数字人体验。由于当前输入素材仅包含标题，缺乏具体的技术规格、功能演示及发布细节等详细正文内容，具体能力表现与上线范围仍需等待官方进一步披露。

基于 Tunix 与 TPU 的自主大模型后训练框架 autofinetune 推出

autofinetune 项目推出了一套全自动大模型后训练研究闭环，涵盖监督微调（SFT）和基于 GRPO 的强化学习。开发者只需在单个 Markdown 文档中设定边界条件与评估指标，AI Agent 便能自主修改训练脚本、发起实验，并将验证有效的超参数优化自动提交至 Git。该项目基于 Google 的 Tunix、Gemma 和 Cloud TPU 技术栈构建，消除了繁琐的人工微调过程，已在函数调用与数学推理任务中验证了无人工干预的性能提升。

伯克利学者发布论文探讨《AI预言机时代的数学》

该素材指向加州大学伯克利分校研究人员发布的学术论文《AI预言机时代的数学》（Mathematics in the Age of AI Oracles）。由于原始素材仅包含PDF下载链接，未提供论文的具体正文与核心结论，详细信息仍需查阅原文。从标题推断，该文主要探讨具备强大求解或预测能力的AI系统（AI Oracles）对传统数学研究范式、理论证明及数学学科未来发展所带来的潜在影响。

Anthropic 称 Claude 发现新酶系统，部分 CRISPR 研究者对成果意义持保留态度

据 The Decoder 报道，Anthropic 的 Claude 在 DNA 数据库中发现了此前未知的酶系统，并自主完成大部分分析。报道同时指出，一些 CRISPR 研究人员认为这更接近常规的基因组挖掘，对其科学突破程度有不同看法。

同等 AI 性能的成本持续下降：研究估计每年降至约十三分之一

据 The Decoder 对研究结果的梳理，Epoch AI 估算达到固定基准性能所需的成本每年下降约 13 倍；MIT 在剔除硬件提升和竞争因素后，估计算法进步约为每年 3 倍。这并不意味着最强模型的单次任务更便宜，实际选型仍需考虑质量、速度和错误率。

The Decoder：DeepMind 希望更早推出 Gemini 4，重点转向可信智能体

据 The Decoder 报道，DeepMind 负责人 Koray Kavukcuoglu 希望在年底前更早推出 Gemini 4。报道表示，该模型已进入后训练阶段，并在内部编码工具 Antigravity 中使用；他强调可信智能体的重要性。产品时间表仍以官方后续公告为准。

两周一次迭代，1000美元起，这家公司想让后训练“人人可用”

最近几个月，后训练成了 AI 行业最集中的议题。

从训练数据到科研验证，沐晨科技押注AI时代的新基础设施

近期 2026 外滩大会上，北大助理教授杨灵关于「长程任务学习」的分享引发行业关注 —— 当 AI 从单次问答走向长周期复杂任务，模型如何从持续交互中积累进化。而在这份分享的合作研究标识中，Muchen AI 的名字赫然在列。

从三维视觉到世界模型：空间智能为何成为 AI 走向物理世界的共同主线？| ECCV 2026复盘

AI 正从看懂画面，走向理解空间、预测变化、执行动作。

Gemini 3.8 text-to-speech says hello

Introducing MentalHealthBench

MentalHealthBench is an expert-informed benchmark for evaluating helpful and safe AI responses across realistic mental health conversations.

Claude 5.5 发布，性能直逼 Fable，还要卷价格

最卷一夜！ #欢迎关注爱范儿官方微信公众号：爱范儿（微信号：ifanr），更多精彩内容第一时间为您奉上。

⁡⁤‬‍⁤‬​‌‍⁢⁡⁢⁣‌‌⁡⁡​⁤​​⁢⁡‬⁡‬​‍⁣​​⁤⁡‍​⁡‬‌‬⁣⁡⁣​⁡‬⁤刚刚，GPT-6 新模型掀桌！「白菜价」杀进 DeepSeek 腹地

DeepSeek 的价格护城河，迎来 OpenAI 的挑战 #欢迎关注爱范儿官方微信公众号：爱范儿（微信号：ifanr），更多精彩内容第一时间为您奉上。

Claude discovers a novel enzyme system with CRISPR-like repeats

Bring more intelligence to everyday work with GPT-6 Sol and GPT-6 Luna on Amazon Bedrock

GPT-6 Sol and GPT-6 Luna are now generally available on Amazon Bedrock, giving you more options to match intelligence and efficiency to each workload.

Introducing GPT-6 Sol and Luna

Meet GPT-6 Sol and Luna, two models that bring frontier intelligence to everyday work with different balances of capability and cost.

Claude Opus 5.5 is now available on AWS

Claude Opus 5.5, Anthropic's most capable Opus model for agentic coding, knowledge work, and long-running tasks, is now available on Amazon Bedrock and Claude Platform on AWS. This post covers what's new in Opus 5.5, practical guidance, and how to start building with the model on Amazon Bedrock.

v0.30.0

v0.30.0 Highlights This release features 762 commits from 315 contributors (104 new)! New models : DeepSeek-V4.1-Flash ( #56214 , #56228 , #56208 ) with the whole KV stored in MXFP8 through the FlashMLA V4.1 record on SM100 ( #56893 ), DeepGEMM Mega-mHC ( #56962 ), and async Engram prefetch with Engram DP sharding ( #56512 ); DeepSeek-V4-Flash-Vision-Exp ( #54566 ), also on ROCm ( #55107 ) and with LoRA ( #55897 ); GLM-5.3-Flash ( #53906 ) with EPLB ( #55119 ); K2-Horizon ( #55063 ); Cohere Compass ( #54774 ); Bailing V3 VL ( #55921 ); Nanbeige4.2 via the Transformers backend ( #56071 ); and a DeepSeek-V4 CPU backend with AVX512/AMX sparse ML

How UK AISI and EvalEval Are Making Benchmark Results Reproducible

Transformers now runs llama.cpp quants

Introducing Claude Opus 5.5

xAI’s Grok 4.6 is now available in Amazon Bedrock

xAI's Grok 4.6 is now available in Amazon Bedrock: a frontier model for long-running agents, coding, and knowledge work, with a 500K token context window and four reasoning effort levels. It runs on both the bedrock-mantle and bedrock-runtime endpoints, with Converse API and cross-Region inference support.

Improving synthesis prediction of small molecules at scale with RetroChimera

Custom-made molecules are advancing medicine, materials, and agriculture, but producing them is slow and expensive. A new Nature paper highlights RetroChimera, a predictive model that helps accelerate chemical synthesis, helping researchers explore a wide range of molecules. The post Improving synthesis prediction of small molecules at scale with RetroChimera appeared first on Microsoft Research .

Pruning LLMs Like a Physicist: Block Removal as an Ising Optimization Problem

tokenizers v1: encode, decode and scaling, measured

MilleMiglia: A realistic instance generator for middle-mile logistics

Algorithms & Theory

Partnering with Accenture on embedded evaluation

Introducing the Life Sciences Verification Program

University of Manchester Uses NVIDIA Earth-2 to Forecast Air Pollution Across the UK

Air pollution is a serious public health risk, contributing to an estimated 30,000 deaths in the U.K. alone last year. Data-driven insights can help — but computing air quality with traditional chemistry-based models is expensive, which limits how detailed they can be and how regularly they can be run. David Topping, a professor in the […]

Bypassing inference bottlenecks: Accelerating complex AI search with Retrieve-for-Train

Algorithms & Theory