推論系統

推論 runtime、量化、 serving、KV cache、成本與效能。

AI 安全

ASCII Smuggling Shifts from Prompt Injection to Email Attacks as Invisible Unicode Disrupts Classifier Tokenization

Microsoft has uncovered phishing emails that insert invisible Unicode Tag characters into financial keywords, altering the tokens seen by rule-based and machine-learning classifiers. With attacks peaking at more than 2.3 million emails per day, the campaign shows that AI red-teaming techniques are beginning to migrate into conventional cybersecurity offense and defense.

GitHub Repo

Paddock Open-Sources Rust/CUDA Inference Engine Targeting Concurrent AI Agents on a Single NVIDIA GPU

Truespar has released Paddock’s scheduler, paged KV cache, memory management, and custom CUDA kernels, along with OpenAI- and Anthropic-compatible interfaces. The authors’ benchmarks show it outperforming vLLM and SGLang on some single-GPU workloads, but the results have not been independently reproduced, and Paddock does not support tensor parallelism, ROCm, or Metal.

AI research

One-Shot OPD Captures Most Full-Data Distillation Gains With a Single Query, Shifting the Bottleneck to Teacher-Signal Absorption

Researchers found that repeatedly sampling from a single query while giving the student model token-level teacher supervision can, after 300 steps, cover 71.5% of the state reached by full-data training. Adding 16 semantically diverse queries raises coverage to 98.9%, though the findings remain limited to the specified small models, teachers, and benchmarks.

推論系統

Random Attention Randomly Evicts KV Cache Entries After Preserving the Prompt, Outperforming Scoring-Based Methods on Long-Reasoning Throughput

Salesforce AI Research found that after protecting the original prompt, randomly retaining reasoning tokens within each KV head can match the accuracy of several content-scoring strategies. In H200 tests with 32K-token outputs, it processed 32% to 43% more tokens than TriAttention, though short outputs and long code prompts did not necessarily benefit.