cyberintel.kalymoon.com · 2828 articles · updated every 4 hours · grows forever
For decades, artificial intelligence has been evaluated through the question of whether machines outperform humans. From chess to advanced math, from coding to essay writing, the performance of AI mod…
In the early days of large language models (LLMs), we grew accustomed to massive 10x jumps in reasoning and coding capability with every new model iteration. Today, those jumps have flattened into inc…
Cybersecurity Arms Race: Microsoft vs. Hackers in 2026 Analytics Insight
Release: llm-echo 0.3 Mechanisms for testing tool calls . #3 Mechanism for testing raw responses . #4 New echo-needs-key model for testing model key logic . #7 Tags: llm
This post highlights a few key excerpts from our full impact report. You can read the full report at https://controlai.com/impact-report-2025 . ControlAI is a non-profit organization working to avert …
Cybersecurity Arms Race: Microsoft vs. Hackers in 2026 Analytics Insight
arXiv:2603.27597v1 Announce Type: new Abstract: Recent work on artificial consciousness shifts evaluation from behaviour to internal architecture, deriving indicators from theories of consciousness an…
arXiv:2603.27536v1 Announce Type: new Abstract: Advanced Driver Assistance Systems (ADAS) increasingly rely on learning-based perception, yet safety-relevant failures often arise without component mal…
arXiv:2603.27476v1 Announce Type: new Abstract: AI-powered people search platforms are increasingly used in recruiting, sales prospecting, and professional networking, yet no widely accepted benchmark…
arXiv:2603.27438v1 Announce Type: new Abstract: We propose a stylized model of human-AI collaboration that isolates a mechanism we call the novelty bottleneck: the fraction of a task requiring human j…
arXiv:2603.27423v1 Announce Type: new Abstract: We present AstraAI, a command-line interface (CLI) coding framework for high-performance computing (HPC) software development. AstraAI operates directly…
arXiv:2603.27415v1 Announce Type: new Abstract: Classical optimization algorithms--hill climbing, simulated annealing, population-based methods--generate candidate solutions via random perturbations. …
arXiv:2603.27406v1 Announce Type: new Abstract: In this paper, the relationship between probabilistic graphical models, in particular Bayesian networks, and causal diagrams, also called structural cau…
arXiv:2603.27404v1 Announce Type: new Abstract: Large Language Models (LLMs) are being increasingly used as autonomous agents in complex reasoning tasks, opening the niche for dialectical interactions…
arXiv:2603.27360v1 Announce Type: new Abstract: Rebuttal generation is a critical component of the peer review process for scientific papers, enabling authors to clarify misunderstandings, correct fac…
arXiv:2603.27355v1 Announce Type: new Abstract: We present a readiness harness for LLM and RAG applications that turns evaluation into a deployment decision workflow. The system combines automated ben…
arXiv:2603.27343v1 Announce Type: new Abstract: Task-completion rate is the standard proxy for LLM agent capability, but models with identical completion scores can differ substantially in their abili…
arXiv:2603.27341v1 Announce Type: new Abstract: Recent Artificial Intelligence (AI) models have matched or exceeded human experts in several benchmarks of biomedical task performance, but have lagged …
arXiv:2603.27338v1 Announce Type: new Abstract: Recent advancements in language model technology have significantly enhanced the ability to edit factual information. Yet, the modification of moral jud…
arXiv:2603.27314v1 Announce Type: new Abstract: Music-to-dance generation has broad applications in virtual reality, dance education, and digital character animation. However, the limited coverage of …
arXiv:2603.27304v1 Announce Type: new Abstract: General-purpose technologies reshape economies less by improving individual tools than by enabling new ways to organize production and coordination. We …
arXiv:2603.27303v1 Announce Type: new Abstract: Protein scientific discovery is bottlenecked by the manual orchestration of information and algorithms, while general agents are insufficient in complex…