最新模型

新模型、開放權重、多模態、語音、影像與模型架構。

最新模型

T-LoopFormer Lets Each Token Choose Its Own Recurrence Depth and Splits the KV Cache by Loop

The new architecture repeatedly applies a three-layer shared block, allowing a router to decide per token whether to exit early or continue latent reasoning. In experiments with roughly 1 billion parameters, the paper reports better latency and accuracy than a fixed-depth looped Transformer, though the approach has yet to be validated on frontier models or mainstream inference engines.

代理工具

Stellar Colosseum Breaks Long Proofs Into Agent Competitions, Reaching 71% on TCS-Bench With Cross-Model Selection

Google Research has unveiled Stellar Colosseum, which manages long-horizon mathematical research through strategy exploration, counterexample attacks, dependency graphs, and hierarchical aggregation. The system scored 71% on the 300-problem TCS-Bench, but the result relies on extensive inference and automated grading and should not be treated as evidence of a model’s independent proving ability.

代理工具

Agent-Written Code Drives a 25-Fold Increase in Anthropic’s CI Workload in Six Months, Forcing Its Test Selection Service to Adopt a Stateless Architecture

Anthropic’s test volume increased tenfold, and its test impact analysis service—originally dependent on a single writer process—gradually became unable to keep pace with pull requests. The new version replaces in-process state with horizontally scalable listeners, a journal, and a separate aggregator, but key figures such as cost and the rate of missed test selections remain undisclosed.

AI 安全

OpenMAIC 1.0.2 Fixes DNS Rebinding and Cloud Metadata SSRF, Blocks Classroom Overwrites

OpenMAIC’s media proxy previously resolved DNS again after validating a domain, allowing an external hostname to point to an internal network at connection time; another path permitted access to an Alibaba Cloud metadata address. Version 1.0.2 now connects using a pinned resolution result and generates classroom IDs server-side, but the changes may affect deployments that access local models over CGNAT ranges used by Tailscale and similar services.

最新模型

Atria Dawn Preview Releases 744B MoE Weights, Trained for Long-Horizon Research Agents in Verifiable Environments

The Shanghai AI Laboratory has released Atria Dawn Preview, along with FP8 weights and inference recipes, positioning it as a full-loop agent capable of searching, coding, and running experiments. The organization claims the best reported results on five of 16 benchmarks, though model scale, test-time compute, and its in-house evaluation setup still limit comparability.