Productivity grows, wages lag: Australia's housing squeeze
The Australia Institute asks why wages lag productivity. The answer reaches every mortgage application and rent payment in the country.
A newsletter breaking down AI research, technology, and Australian property in plain English
AI and technology, explained through what they actually mean. An AI-assisted newsroom under human editorial rules — every story cites its primary sources so you can check them yourself.
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The Australia Institute asks why wages lag productivity. The answer reaches every mortgage application and rent payment in the country.
A new arXiv preprint claims to solve a hard problem in probability, running on a desktop CPU without neural networks. Scientists and engineers take note.
A new arXiv preprint introduces a method to measure whether frontier AI helps non-experts plan CBRN attacks, with uplift limited to radiological threats.
An arXiv preprint analysing 14 years of Qubes Security Bulletins finds most flaws originate in Xen and CPU components, not Qubes itself.
A new arXiv preprint introduces Mycelium, a shared workspace connecting researchers and AI agents, routing hypotheses to whoever can act on them.
A new arXiv preprint strips named entities from training data, and the resulting models recall fewer facts but answer questions from context up to 25%
OpenAI's July 2026 article outlines age-appropriate protections, learning tools and parental controls for teen ChatGPT users, but key questions remain.
A new arXiv position paper argues AI must formalize entire mathematical theories, not isolated statements, to build verifiable knowledge bases.
Uniform mixing matches Transformer spatial attention across six traffic benchmarks at 0.14% MAE gap, while cutting complexity from O(N²) to O(N).
MusicMark, posted to arXiv July 14, embeds watermarks during AI music generation rather than after, surviving attacks that defeat older methods rights
New preprint proposes breaking RL reward signals into named climate-control components that greenhouse growers can audit across simulators and logged data.
New arXiv research proposes a 3GPP-aligned framework detecting GNSS spoofing in mobile networks with over 95% accuracy, filling a gap operators now face.