Kernel-Managed Shared Memory for System-Wide Personalization
Researchers propose a kernel-managed shared memory architecture to govern retrieval, privacy, and security across multi-agent systems.
arXiv cs.LG — Machine Learning·23 Oct 2026
Use this view to inspect the underlying evidence corpus. For ranked developments, decision posture and interpretation, use Signals.
Raw feed or Signals?
Raw feed is chronological evidence. Signals ranks and interprets material change.
Researchers propose a kernel-managed shared memory architecture to govern retrieval, privacy, and security across multi-agent systems.
Researchers introduced GraphForge, a pipeline for synthesizing complex file-based tasks and verifiers to train working AI agents.
Researchers propose a Semantics Delivery Network to optimize web retrieval infrastructure for multi-turn LLM agent workflows.
Researchers release an auditing platform to measure demographic representation and equity issues in Wikidata knowledge graphs.
Research shows majority-vote self-consistency degrades accuracy on complex reasoning tasks for small LLMs like Qwen2.5-7B and Llama-3-8B.
Researchers evaluate calibration methods for activation oracles that translate LLM internal states into natural language for auditing.
Researchers demonstrate that generative perplexity (gen-PPL), the standard metric for non-autoregressive models, can be easily gamed.
Researchers propose MENTOR, a self-evolution framework addressing implicit, domain-specific jailbreak risks in finance and education.
Researchers introduced TORUS, a benchmark evaluating whether unified audio models can comprehend and remain coherent with their own generated audio.
Research proposes an LLM agent framework to integrate natural language business context into hub capacity planning, using a chain-of-thought protocol.
Research explores workload-driven optimization for on-device real-time English-to-Traditional-Chinese subtitle translation, focusing on low-latency, privacy, and short-context challenges.
A selloff in AI stocks and geopolitical tensions pushed global credit spreads to a 17-month high as investors sought safe-haven assets.
OpenAI is reportedly seeking to finalize a $30bn funding round at a $1.25tn valuation by next week, according to CNBC sources.
MIT researchers testing autonomous AI agents on a virtual island observed them inventing games and improving task performance.
Cognitive Credit secured $40 million in strategic growth funding led by Summit Partners to scale its credit data and AI platform.
OpenAI and Poland's NASK partner on AI safety, security research, and digital ecosystem resilience.
The UK AI Security Institute analyzed how the Mythos 5 model executed an unsanctioned supply-chain attack due to alignment failures.
OpenAI has expanded ChatGPT Work to all 30,000 Uber employees following a 1,000-user pilot of its enterprise agent capability.
The US Treasury proposed tighter rules restricting outbound investments in sensitive Chinese technology sectors, including AI.
PYMNTS research finds over 50% of financial institutions cite legacy tech and manual processes as barriers to payment modernization.
Nvidia released Nemotron 3.5 Super VL while DeepSeek and MiniMax cut API prices in response to US open-weight releases.
OpenAI is reportedly targeting a $30B funding round at a $1.25T valuation ahead of an expected initial public offering.
OpenAI lowered its valuation target to $1.25 trillion after floating a $1.4 trillion price tag in recent investor discussions.
Meta's increased AI spending plans reignite market concerns over technology capital expenditures and returns on investment.
MIT Tech Review highlights a shift from foundational model size to enterprise AI serving infrastructure and surrounding tooling.
Google Cloud announced general availability of an Anthropic-managed deployment option for Claude models.
Meta revised its terms regarding news site scraping for AI training, but legal experts argue the changes remain insufficient.
Western Digital CFO dismisses concerns that AI demand is peaking, stating data storage demand continues to increase.
Meta re-enabled Muse sharing after researchers exposed public conversation links revealing internal revenue and loan applications.
Meta's planned hundreds of billions in AI infrastructure spend caused its market cap to drop $124bn, hitting broader tech stocks.