A newsletter breaking down AI research, technology, and Australian property in plain English
A new arXiv preprint uses agentic topology sampling to predict building IoT sensor readings with zero building-specific training, matching fully trained models
New arXiv preprint uses LLM-generated resident personas to create smart-home device schedules executable on physical testbeds, replacing invasive data collectio
A new arXiv preprint combines formal planning guarantees with LLM-generated plain-English security strategies for complex networks — but it's unverified.
Researchers show EdDSA cryptographic signatures fit inside standard QR codes, potentially stopping sticker-swap scams on parking machines and kiosks — if adopti
Distributed AI training study finds Masked Image Modeling more robust than contrastive learning on heterogeneous data, reshaping how teams train models across m
A new benchmark called IG-Bench tests whether LLMs can trace how scientific ideas inherit and mutate from prior work — the best system managed just 27.3% exact
A new arXiv preprint introduces reasoning consistency scanning — a method that flags when a model's stated reasoning doesn't match its answer, using transcripts
A new arXiv benchmark from University of Michigan evaluates whether data-science AI agents can distinguish causation from correlation — and know when to abstain
A July 2026 preprint argues echo chambers and misinformation miss the real threat: strategic manipulation in mixed human-LLM communicative networks.
