WEEKLY DIGEST
Week in AI: May 25 — May 29, 2026
The top stories from our coverage this week.
Claude Mythos solves Erdős problem OpenAI tackled last week with weekend proof, per engineer Sholto Douglas. @AnthropicAI
the-decoder.com/claude-mythos-reportedly-solves-ope…
MUSE-Autoskill introduces self-evolving LLM agents with reusable skills via creation, memory, management, and evaluation.
arxiv.org/abs/2605.27366v1
Alibaba's Qwen team releases Qwen3.7-Max, an AI model that autonomously optimized chip code for 35 hours.
the-decoder.com/alibabas-latest-ai-model-ran-autono…
AI agents improve by reusing structured procedural skills, study highlights domain-level and model-generated artifacts.
arxiv.org/abs/2605.23899v1
Microsoft Copilot invents country differences in identical datasets when model selection defaults are used.
the-decoder.com/why-you-shouldnt-leave-model-select…
Answer:
China requires top AI researchers at private firms like Alibaba and DeepSeek to seek official approval before overseas travel.
the-decoder.com/china-reportedly-now-requires-top-a…
Researchers reveal RLHF alignment methods can be exploited to optimize misaligned biases via alignment tampering
arxiv.org/abs/2605.27355v1
Benchmark compares vision LLMs vs OCR on long, image-heavy PDFs via MMLongBench-Doc.
reddit.com/r/MachineLearning/comments/1tm0cqg/visio…
Vector Policy Optimization shows training diversity improves AlphaEvolve search performance.
arxiv.org/abs/2605.22817v1
ML practitioners grapple with hyperparameter selection in non-monotonic loss SSL, relying on BYOL/JEPA/data2vec with unclear efficacy.
reddit.com/r/MachineLearning/comments/1tmprdm/how_d…