Linux bugs fixed per release over time: >2× rise since 2026-04
Linux 7.2 was the kernel's second-busiest release, while bugs fixed per release more than doubled since April 2026.
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Linux 7.2 was the kernel's second-busiest release, while bugs fixed per release more than doubled since April 2026.

StarSkirmish v0.2 scores how strong a StarCraft bot each flagship LLM can write in one hour.
A Wiley AAAI paper on System 1 LLMs and System 2 skills was blocked by Cloudflare.
LM2LM uses a research world model as an RL reward so Qwen3.8-27B proposes stronger model improvements than GPT-6-sol.
SimOPD distills teacher knowledge through response similarities, gaining up to 3.1 points cross-architecture.
A knowledge-graph layer resolves imperfect enterprise prompts better than schema-only semantic matching.
VERITAS verbalizes layer-wise computation to detect unfaithful chain-of-thought, beating LLM judges by 28.4% balanced accuracy.
Meta released Muse Spark Open, an 816B open-weight MoE with a 1M-token context.
Physicist Rikab Gambhir's satirical essay on Terence Tao's blog mocks OpenAI's mass generation of unverifiable mathematical papers as marketing hype.
LLM-guided evolutionary search finds quantum circuits that cut Toffoli and qubit costs on seven of eight tasks.
An 8B model trained with set-level RL generates more diverse scientific ideas than Claude Opus 4.8 and GPT-6 Astra.
AI Consilium shows model choice beats format for clinical LLM second opinions on NEJM cases.
Random projection preserves RAG similarity and matches DP privacy with better retrieval utility.

Energize Lab’s Eiliko robots left 13 million chats, child profiles, photos, and audio on unprotected servers.
Unilateral TEE weight obfuscation for on-device LLMs is breakable; BiShield-TEE hides the key among ambiguous solutions.
Swiss AI published release notes for Apertus 1.5, its open language model.
Researchers demonstrate a Hub-Satellite poisoning attack on HNSW RAG with 31.29% success on two million Wikipedia documents.
Researchers evaluate Rust SAST tools and use LLM framework TRUST to uncover 46 faults.
QuasiLeak-Bench shows a fine-tuned 4B model beats prompted LLM privacy detectors on quasi-evidence groups.
LLM4SAST finds 66 SAST-tool faults, with 32 confirmed or fixed by developers.
Survey says RAG differential-privacy claims cannot be compared by epsilon alone across repeated queries.
SpecAgent has a weak model draft grounded tool steps and a strong model verify them in one prefill.
Researchers personalize mixture-of-experts LLMs and localize distinct personalization features in specific experts.
PerSo benchmarks LLMs' cognitive and behavioral social intelligence on real Reddit persuasion dialogues.
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