Technology & AI
TrustX ARC rates AI agent risk across 12 dimensions
TrustX ARC, a new arXiv preprint, scores agentic AI risk across 12 dimensions into three governance tiers for risk officers, developers and regulators.
Marcello Babbili
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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Technology & AI
LLM agent framework blocks hallucinated actions in industrial control
A new arXiv preprint pairs an LLM planner with a forecasting model to guard industrial control systems, recording zero hallucinated actions in attack
Technology & AI
KV-PRM cuts AI agent scoring cost 5,000x via cache reuse
KV-PRM reads the memory AI models already produce during generation, slashing the cost of verifying multi-agent reasoning chains by up to 5,000x.
Technology & AI
CogniConsole: LLM reliability tied to control, not capability
New arXiv paper with 489 probes shows structural scaffolding around a fixed LLM cuts failure rates, challenging the bigger-model assumption.
Technology & AI
ARCANA multi-agent framework targets ARC-AGI-2 reasoning
A new arXiv paper from July 2026 unveils a four-agent system that decomposes abstract reasoning puzzles into perception, code search, and reflective
Technology & AI
LLM agents fail 70% of skill safety tests in SLBench study
A new 86-case benchmark finds Codex and Claude Code agents violate logical constraints in skill files up to 70% of the time, causing privacy leaks and
Technology & AI
Agora preprint: auction-based routing for LLM agents
New arXiv preprint proposes auction-based routing for LLM agents, sending reasoning steps to the most capable solver rather than the most overconfident.
Technology & AI
Neural network backdoors evade detection even with full weight access
A preprint shows backdoors in feedforward neural networks evade every statistical test, even with full access to all weights, breaking model trust.
Technology & AI
New arXiv paper reframes AI output as representation, not fact
A July 2026 arXiv paper proposes a semantic framework that names six ways AI systems misrepresent reality, aiming to replace fluency with verifiable
Technology & AI
Visual pretraining outperforms text-only for language AI
Training AI models directly on visual documents consistently outperforms text-only pretraining, challenging a core assumption in how foundation models
Technology & AI
New protocol forces AI scientist agents to show their work
A new arXiv paper proposes the Hypothesis Evolution Protocol, making AI agents' scientific reasoning explicit and auditable instead of buried in logs.
Technology & AI
4DR360 radar-camera AI gives self-driving 360° scene awareness
New arXiv preprint 4DR360 treats 3D scene occupancy as a persistent state, reshaping radar-camera fusion for autonomous driving.