模型与评测

DeepSeek-V4-Flash-Vision-Exp 模型已开源，多模态 Agent 能力接近 Opus-4.8

DeepSeek 于 8 月 31 日在 Hugging Face 开源首个多模态模型 DeepSeek-V4-Flash-Vision-Exp，采用 MIT License，公开模型文件、Tokenizer、Prompt Encoding 参考实现及最小化 PyTorch 推理实现。 🔗 阅读原文 via AIHOT · https://aihot.vir

DeepSeek-V4-Flash-Vision-Exp 模型已开源，多模态 Agent 能力接近 Opus-4.8

DeepSeek 于 8 月 31 日在 Hugging Face 开源首个多模态模型 DeepSeek-V4-Flash-Vision-Exp，采用 MIT License，公开模型文件、Tokenizer、Prompt Encoding 参考实现及最小化 PyTorch 推理实现。

Degraded performance on Claude for Microsoft Office 365

[minor] resolved — This issue has been resolved.

Degraded performance on platform.claude.com and Claude for Microsoft Office 365

[minor] resolved — This issue has been resolved.

DiagEvo：诊断引导自我进化

分层错误记忆，按诊断让模型自进化。

DiscoSign: Discourse-Aware Text to Sign Language Gloss Translation

Sign language processing systems have traditionally operated at the sentence level, ignoring critical discourse phenomena fundamental to sign language comprehension. We introduce D

Discriminative World Models for Web Agents

Recent web agents use world models for test-time action selection by sampling candidate actions, predicting the resulting web states, and ranking them with a ranker model or a Proc

Documentation

Does anyone feel like Fable 5.1 has been nerfed since release?

The first 5 minutes were excellent, I built GTA6 from scratch and released 14 different apps. But over the last 30 seconds it feels as though it regressed to the point where it mak

Door-in-the-Face Requests and Refusal Behaviour in Large Language Models

Does the door-in-the-face technique work on language models? In humans, a large request that is refused makes a smaller follow-up request more likely to be granted. We test this on

DramaChain Bench：短剧生成基准

Dutch Books for Language Models

People increasingly use language models to support life decisions. Many such decisions involve a probabilistic forecast: How likely is a major life event, a natural disaster, or an

Dutch central bank moves 86 tonnes of gold from US citing 'geopolitical unrest'

EM²Mem：事件中心多模态记忆

EarlyEval: Cheaper Agent Evaluation via Early Outcome Prediction

Evaluating LLM agents is essential for guiding their development, yet it has grown prohibitively expensive: a single pass of a frontier model over an agentic benchmark can cost hun

Embedded Rust RTOS vs. C RTOS

ExecRetrieval：代码检索的功能缺口

测代码 embedding 检索和功能正确之间的缝。

Exit the Cave

FUSE：危险能力评测框架

评 LLM 危险能力的框架。

Fable 5.1 is out it’s amazing — it’s terrible — they nerfed it —

Saved you time on reading the next 500 posts

Fable 5.1 正式发布：性能翻倍、Agent成本下降45%，Anthropic 把顶级模型送进真实世界

Fable 5.1 系统卡披露隐蔽任务与监控难度上升等安全发现

Rohan Paul 梳理了 Fable 5.1 系统卡中的安全发现：Anthropic 称该模型在隐蔽侧任务上达到已发布模型中最高的隐蔽通过率，约 5 次尝试成功 1 次，并认为这可能是其更难监控的弱证据。 🔗 阅读原文 via AIHOT · https://aihot.virxact.com/items/cmtj2y06p04bwroh9d8oszsz

Fine-Grained Anomaly Perception in Wild UGC-Enhanced Images: A Comprehensive Dataset and Difference-Fusion Framework

Image enhancement and restoration have become standard back-end operations on short-video and social media platforms to boost UGC visual experience. Yet these processes inevitably

From Reweighting to Rewriting: Unlocking the Intervention Effects of Influential Samples in Training Data Attribution

Training data attribution (TDA) aims to identify training examples that shape model behavior, but its intervention value depends on both which examples are selected and how they ar