Latest

Every published item, in order · 568 items
Nov 3
Nov 2
Oct 31
Oct 30
Oct 29
ModelsUS vs ChinaSelected01:09
DeepSeek V4.1 Flash tops FrontierCode 2.0 among open-weight models

The v5 rebuild shifts the open-vs-closed frontier gap from 3 points under v4.3 to 12 points, meaning prior open-weight scores may have been inflated by public-question contamination. Practitioners choosing models for real coding work should look at FrontierCode 2.0's merge-based scoring, which measures restraint, style fit and regression risk rather than passable code. Kimi K3.1 Pro nominally leads open-weight models at 46 overall, but its weights only ship by 4 Nov 2026.

IT之家Source
Oct 28
ModelsUS vs ChinaMulti-source74°10:17
Chinese contentArtificial Analysis 发布 Intelligence Index v5,新增两个基准并引入私有测试集

模型评测榜 v5 版来了,60% 改用私有题防刷榜,Claude Opus 5.5 拿了第一,开源和闭源差距拉大到 12 分,选模型前可以看看。

Event
官方账号Artificial Analysis@ArtificialAnlys11 sourcesSource
Oct 27
PapersBuildersSelected17:26
GenXR-Bench shows coding AI fails at 3D spatial XR tasks

Existing coding benchmarks rely on unit tests or browser clicks, which cannot verify whether a virtual button tracks your palm — this bench closes that gap with simulated hand and room input. Developers using agents to build XR apps should test outputs with simulated hand and room input, since agent-written unit tests often miss runtime bugs.

rohanpaul_ai@rohanpaul_aiSource
ModelsBuildersMulti-sourceSelected06:23
Artificial Analysis launches Code2Video-AA video benchmark

The 300x spread in cost per task means the ranking alone is misleading: GPT-6.1 Sol delivers fourth place at 90% less cost than the leader, which changes which model is actually practical for batch video generation. Teams building automated marketing video pipelines can use the five-axis Elo breakdown to match models to their budget and quality needs, and the open-weights results give a concrete quality gap for self-hosting comparisons.

Event
官方账号Artificial Analysis@ArtificialAnlys3 sourcesSource
ModelsBuildersSelected01:23
Hugging Face open-sources Carbon-X, a 14.8B DNA-language model

Open weights make private genomic analysis possible at a fraction of frontier-model cost, which matters for labs handling sensitive sequencing data that cannot leave their infrastructure. The bundled Claude Code and Codex Skills mean bioinformatics teams can plug DNA sequence analysis into existing agent pipelines without building custom integrations. The Qwen3 base also gives practitioners familiar with the Qwen ecosystem a low-friction path to fine-tuning.

AIGCLINK@aigclinkSource