Cyber Security and Resilience Bill could pave way for searches, seizures, and inspections when operators lose control of automated systems
From legislative efforts to regulate autonomous AI agents and Tesla's planned Cybertruck production cuts, today's headlines highlight the industry's rapid shift toward governance and strategic scaling. Simultaneously, breakthroughs in efficient model training, new cloud security tools for code vulnerabilities, and demonstrations of humanoid robotics underscore the accelerating pace of technological advancement and practical application.
Towards Data Science
Three Python classes, an OpenRouter key, and gpt-4.1-mini give the agent a calculator, a stub web search, and conversation recall…
LessWrong
This study demonstrates that GPT-6.1 Sol possesses a distinct capability to spontaneously organize effective multi-agent teamwork…
NVIDIA Research
This study empirically validates that end-to-end autonomous driving models exhibit clear data scaling laws, where performance gain…
arXiv
arXiv:2611.05592v2 Announce Type: replace-cross Abstract: Differentiable weather models allow atmospheric initial conditions to be…
arXiv
arXiv:2607.10456v2 Announce Type: replace-cross Abstract: Expert background knowledge is often available in practical applications…
arXiv
arXiv:2607.10430v2 Announce Type: replace-cross Abstract: Dimensionality reduction has proven powerful for identifying neural mani…
arXiv
arXiv:2606.21036v2 Announce Type: replace-cross Abstract: In many domains, practitioners seek models that produce accurate forecas…
arXiv
arXiv:2606.13796v2 Announce Type: replace-cross Abstract: Recursive training of generative models on their own outputs can lead to…
arXiv
arXiv:2606.07334v5 Announce Type: replace-cross Abstract: This report treats chord-symbol sequences as an interpretable, controlla…
arXiv
arXiv:2606.04757v2 Announce Type: replace-cross Abstract: We study decentralized stochastic smooth convex optimization, where $M$…
arXiv
arXiv:2605.13675v2 Announce Type: replace-cross Abstract: Deep neural networks trained with different architectures, objectives, a…
arXiv
arXiv:2605.08866v2 Announce Type: replace-cross Abstract: Inverse optimization (IO) seeks to infer the parameters of a decision-ma…