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Hugging Face Shuts Down Legacy Kernel Model Repositories, Potentially Breaking Unmigrated Inference Code Immediately

Starting September 13, Hugging Face is removing legacy compute kernels stored in regular model repositories. Users must upgrade `kernels` and switch to the new kernel repository type. The migration also requires explicit API versioning and restricts loading to trusted publishers, but signature verification during downloads is still not enabled automatically.
代理工具

NVIDIA Completes Its IMO Gold-Medal Reasoning Recipe: Generate 384 Proofs per Problem, Then Filter Them Through Multiple Rounds of Review

NVIDIA has updated its Nemotron IMO 2026 resources, releasing SFT/RL weights, datasets, prompts, and complete resumable inference code. The system scored 30/42, but the result depends heavily on three 561B-parameter checkpoints and massive test-time compute, so it should not be treated as the capability of a model answering in a single pass.
生成式音訊

YuE2 Bridges Editable Scores and Full-Song Generation, Updated Evaluation Reveals the Cost Difference of Best-of-8

YuE2-3B first generates an ABC melody and chords, then synthesizes 48 kHz songs with a shared-attention AR/NAR architecture, allowing users to modify the composition directly before audio rendering. The WildSongBench update on September 12 ranks it first among 17 systems, but its leading result uses best-of-8 selection and is not directly comparable to the two-candidate setting used by most systems.
最新模型

NASA and IBM Release Multimodal Lunar Foundation Model, Aligning Data from Nine Instruments into a Shared Representation

The NASA-IBM Lunar Foundation Model integrates more than 30 spatially aligned data layers from nine instruments across four missions and releases its weights under Apache 2.0. Official downstream experiments report reductions of up to 22% in ice-prediction error, but the results still come from the development team and have not yet been independently reproduced.
AI 安全

Datasette Patches Public-Private Table Authorization Bypasses Following Comprehensive Security Audit Involving Three Frontier Models

Datasette 1.0a39 and 0.65.4 patch multiple paths that could leak private data, involving case-variant table names, full-text indexes, relationship queries, and caching. The vulnerabilities were discovered with help from an external researcher and three frontier models, but the maintainers have deliberately withheld some tests for now, so operators should still treat upgrading as a priority.
最新模型

Together Fine-Tuning Service Lets LoRA Train MoE Experts Directly and Exposes the Tokens Actually Sent to the Trainer

Together AI has added Expert LoRA, per-example weighting, pre-training data validation, and real-time metrics, allowing developers to tune MoE expert layers instead of only attention modules. In the company’s experiments, knowledge recall rose from 15% to as high as 89%, but the comparison was limited in scope, and expert and attention adapters currently cannot be used together.
代理工具

Real-SWE Tests Coding Agents on Private Enterprise Repositories, but the Highest Solve Rate Is Still Just 38.8%

The new benchmark places real-world tasks involving taxation, billing, identity migration, and more in isolated sandboxes. The best pass@1 across eight model-agent framework combinations was 38.8%. The results more closely reflect enterprise development, but the repositories, evaluators, and complete trajectories have not been released, so the rankings cannot currently be reproduced independently.
最新模型

Qwen3.8-27B GGUF Switches to Per-Tensor Configurations, So the Same Quantization Names No Longer Represent the Old Bit Allocations

Bartowski has re-uploaded the Qwen3.8-27B GGUF files, assigning quantization formats according to each tensor’s sensitivity and publishing reproducible configuration files and KLD measurements. Some old and new files share the same names, but the meaning of `_L` and the actual bit allocations have changed, so deployers cannot compare filenames alone.