GitHub Repo

GitHub 熱門專案、開源工具、框架、runtime 與重要 release。

Ten Thousand Agent Communities Exhibit Three Phases—Consensus, Polarization, and Apathy—With the Ising Model Predicting Opinion Evolution

A Stanford team simulated more than 10,000 communities of language-model agents and found that, over multiple rounds of communication, initially weak opinions gradually develop into consensus or polarization. Using an extended Ising model, the researchers predicted individual trajectories on previously unseen communication graphs. Political questions, however, also produced a rightward shift, showing that collaboration does not necessarily eliminate model bias.

2026-08-18

AI 安全

JailbreakSkill Packages Jailbreaking Strategies as Evolvable Skills, Raising HarmBench ASR by Another 13.4 Percentage Points

JailbreakSkill packages prompt rewriting, failure analysis, and skill evolution behind a unified interface, enabling red-team agents to generate new procedures from unsuccessful attack trajectories. Its second stage raises the cross-model average attack success rate on AdvBench and HarmBench by a further 17.5 and 13.4 percentage points, respectively, although evaluation relies on a GPT-4o judge.

2026-08-18

推論系統

ParaTempo Asynchronously Prunes Reasoning Branches Using Temporal Confidence, Cutting Qwen3.5 Latency by 21.8%

ParaTempo periodically probes the provisional answer distributions of individual reasoning paths, then independently prunes, retires early, or forks them. On four benchmarks, Qwen3.5-35B-A3B averaged 1.1 percentage points lower accuracy than fixed 16-path self-consistency, while reducing latency by 21.8% and generated tokens by 30.3%.

2026-08-18

推論系統

llama.cpp b10472 Fixes AMD APU Memory Detection, Preventing Strix Halo from Being Assigned Nonexistent Available Capacity

The new release stops overriding GPU memory information with the system’s `MemAvailable` value in Linux HIP builds and instead trusts `hipMemGetInfo`. The fix targets AMD APUs with configurable UMA carveouts and reduces the risk of the model loader overestimating capacity and failing later.

2026-08-18

代理工具

PACE-Bench Breaks Existing Agent Designs After Physics Rules Change; Best Full-Scale Configuration Reaches Just 35.9% Pass@2

PACE-Bench uses 144 executable physics environments to test whether agents can repair previously successful program designs that fail after changes to friction or material constraints. Experiments show that reflection outperforms unverified self-revision, while long-term memory can anchor stronger models to early solutions.

2026-08-17

訓練基礎設施

Rollplex Fits VLM Reinforcement Learning Prefix Computation into Rollout Idle Time, Accelerating Training by up to 1.30× on 32 H800 GPUs

Rollplex executes video encoding and prompt prefill for the reference model and training actor early, during autoregressive decoding, while preserving synchronous on-policy semantics. The system uses CUDA VMM to manage memory across stages and enables training and inference processes with different tensor-parallel configurations to share compatible weights.

2026-08-17

最新模型

CForce 以後期去噪結果監督早期預測，LLaDA2.1 每次前向處理 token 數由 6.94 升至 9.08

CForce 沿用擴散語言模型自己的生成軌跡，把後期較完整的預測蒸餾回早期遮罩狀態。LLaDA2.1-mini 在提高平行解碼量的同時維持準確度，但證據目前集中於同一模型家族與作者控制的評測。

2026-08-17

最新模型

sMuon Projects Muon Into the LoRA-Expressible Subspace, Runs About 30% Faster Than Riemannion at the Same Loss

sMuon first projects the orthogonalized full-weight update direction into the low-rank space expressible by LoRA factors, then computes the update using only matrix multiplications. In ReLoRA experiments, it matches Riemannion’s lowest validation loss, although cross-model fine-tuning results depend heavily on the optimizer originally used for the base model.

2026-08-17

代理工具

ScienceFlow Adds Executable Workspaces to Agent Memory, Reaching a 70.22% Any-Medal Rate on 75 MLE-bench Tasks

ScienceFlow saves more than conversation summaries: it packages code, validation evidence, resource records, and workspace snapshots into recoverable stages. The official results report a 70.22% Any-Medal rate on the full MLE-bench, though cross-system comparisons remain affected by differences in models, hardware, and time budgets.

2026-08-17

推論系統

llama.cpp b10456 Fixes SYCL Quantization Transcoding Scheduling, Boosting Q4_0→FP32 Throughput on Arc 70 to 158.19 GB/s

The new release configures threads and work-groups according to quantization block size, preventing over- or undersubscription in the SYCL copy kernel. Microbenchmark throughput on Arc 70 rose from 20.21 to 158.19 GB/s, but this does not represent the speedup in token generation for a complete model.

2026-08-17

最新模型

Intern-S2-Mobius Shares FFN Memory Globally, With the 35B Model Reporting Nearly 4× End-to-End Inference Acceleration

Intern-S2-Mobius separates the knowledge storage and attention-based reasoning traditionally tied to each Transformer layer, allowing multiple Reasoners to repeatedly query the same global Memory. The open weights can be loaded with LMDeploy, vLLM, or Transformers, but the nearly 4× acceleration remains a result from the official evaluation under specific conditions.

2026-08-17

最新模型

Community Turns MiniMax H3 into an Image Editor with a Single-Frame VAE, Exposing ComfyUI’s Five-Frame Minimum as a Compatibility Gap

The community has trained a 5.21GB single-frame VAE for the MiniMax H3 video model, allowing reference-to-video pipelines to generate just one frame for tasks such as virtual try-on, pose editing, and viewpoint transformation. The approach demonstrates how a video model can be repurposed as an image editor, but it currently depends on unofficial weights, specific workflows, and ComfyUI single-frame support that has yet to be fully implemented.

2026-08-17