A newsletter breaking down AI research, technology, and Australian property in plain English
A preprint shows backdoors in feedforward neural networks evade every statistical test, even with full access to all weights, breaking model trust.
New arXiv preprint 4DR360 treats 3D scene occupancy as a persistent state, reshaping radar-camera fusion for autonomous driving.
A new arXiv survey maps how LLMs could move front-end chip design from isolated tasks to autonomous agents, but offers no benchmarks to prove it works.
A new arXiv preprint proposes a training-free method that helps language models actually use evidence already sitting inside their 128K-token context
LLM-as-a-Verifier treats checking AI answers as a scaling axis, hitting 86.5% on Terminal-Bench V2 and 78.2% on SWE-Bench Verified without extra training.
VAORA, a new reward design on arXiv, targets hallucinated reasoning and reasoning-action misalignment in vision-language models on physical tasks.
A new arXiv preprint from IIT Madras proposes a blockchain-verifiable voting system on Solana that keeps ballots private without a trusted key dealer
Limited quantum memory collapses the gap between stabilizer testing and learning, a new arXiv preprint shows, with both needing Theta(n) copies.
A new arXiv preprint trains a Real-Bogus classifier without human labels, using simulated injections and dual-network co-teaching for noisy survey data.
