From feature-level attractor geometry to dynamical systems state-space. Read more ›
AutoJack is a novel exploit chain showing how a single malicious webpage can turn an AI browsing agent into a remote code execution vector on the host machine. By abusing trust in localhost, missing authentication, and unsafe parameter handling, attackers can trigger arbitrary process execution through AutoGen Studio’s MCP WebSocket. The research highlights a broader pattern - when agents can browse untrusted content and access local services, traditional boundaries like localhost are no long... Read more ›
...Report (December 2025) Similarweb 2026 AI Search report: ChatGPT Search vs. Perplexity query volume trends Goodfirms ... Search Engine Land: AI search adoption trends (ongoing 2026 coverage) Theoretical FoundationsKahneman, D. (2011)... Read more ›
Everyone answers questions over their data with vector search. But some questions aren't 'what's similar' — they're 'what's connected,' and vectors fall off a cliff. I measured vector search, graph traversal, and a hybrid of the two on 1,800 multi-hop movie questions, then settled the Postgres-vs-Neo4j question with real numbers: Postgres wins neighborhood reachability by ~4x, Neo4j wins shortest-path by ~85-135x. The honest answer is to match the engine to the traversal. Read more ›
This chapter reviews the foundations of entropy and their extensions to complex systems. We first discuss the relation between Boltzmann's formula, multiplicity, coarse-graining, and Shannon entropy, before introducing generalized entropies such as R\'enyi, Tsallis, and Burg entropy. We then examine Maxwell--Boltzmann, Bose--Einstein, and Fermi--Dirac statistics, structure-forming systems, sample-space reducing processes, P\'olya urns, and nonli... Read more ›
🚀 How Lightweight LLMs Can Use Tools Without Large Compute: A Prompt-Driven Tool-Calling Approach AI #LLM #MachineLearning #AIAgents #PromptEngineering #OpenSourceAI 🚀 Introduction Large Language Models (LLMs) like GPT-4 or Claude are extremely powerful, but they come with a major limitation: they require huge computational resources. But what if smaller, open-source models could also perform complex reasoning tasks—without needing massive GPUs? This question led to my research: “Prompt-Drive... Read more ›
‘A fantasy’: How the Palestine Action ruling whitewashed the history of civil disobedience Submitted by Katherine Hearst on Wed, 06/17/2026 - 09:02 Court upheld the ban on Palestine Action, denying it is a direct action group 'like the suffragettes' Police detain a demonstrator following a Court of Appeal ruling on the lawfulness of proscribing Palestine Action under terrorism laws, outside the Royal Courts Of Justice in London, 15 June 2026 (Reuters) Off On Monday, five judges Palestine Acti... Read more ›
Running a retail operation has become a more complex undertaking as executives must react to multiple disruptions at the same time. Market volatility, tariff shifts, changing consumer behavior, inventory pressure and margin erosion are happening simultaneously, forcing brands and retailers to make faster, more strategic decisions across their businesses. Read more ›
Alignment should optimize AI models toward positive attractors. Read more ›
How would you protect a Neo4j deployment against an advanced quantum computer that does not exist yet, but that could one day decrypt… Read more ›
Analysts say Britain is responding to civil disobedience with unprecedented severity. Read more ›
Agentic AI represents the third major platform shift in enterprise software, transforming how SaaS is built, priced, distributed, and consumed by a hybrid workforce of humans and autonomous agents. Learn how ISVs can capture this growth opportunity by building on Amazon Bedrock AgentCore for production-ready agentic deployments, making their capabilities discoverable through open protocols such as MCP and using AWS Marketplace for outcome-based pricing models that capture the measurable value... Read more ›
Moduna surfaces new business opportunities and the blind spots keeping AI agents from resolving user intent. Read more ›
arXiv:2602.01929v2 Announce Type: replace-cross Abstract: Constructing accurate and computationally efficient surrogate models (or emulators) for predicting dynamical system responses is critical in many engineering domains, yet remains challenging due to the strongly nonlinear and high-dimensional mapping from external excitations and system parameters to system responses. This work introduces a novel Function-on-Function Nonlinear AutoRegressive model with eXogenous inputs (F2NARX), which r... Read more ›
The recent dip in US gas prices below $4 per gallon has sparked a wave of excitement among Americans, but it's more than just a price drop. This development is a significant indicator of the country's economic health and consumer behavior. Personally, I think this is a fascinating moment, as it reve... Read more ›
Use agent to learn agent - A skeleton course on how to design, build, and operate production AI agents - bryanyzhu/agentic-ai-system-course Read more ›
Large language model (LLM)-based multi-agent systems demonstrate strong performance on complex reasoning and task execution, enabling broad enterprise applications. However, production deployment remains challenging due to domain-specific customization requirements and high latency and inference costs in agentic workflows. We propose a unified framework for customization and efficient deployment of multi-agent systems in real-world settings. The... Read more ›
As summer begins in the midst of this long holiday weekend kicked off by Juneteenth, the consumer spending outlook appears to contain a contradiction. PYMNTS Intelligence research shows that 83% of consumers say everyday prices increased. Nearly two-thirds say external forces are affecting the U.S. economy a great deal or a lot. Fifty-eight percent […] The post appeared first on <a href=" Read more ›
On models of cosmic inflation in D=4 supergravity and the α\alpha-attractor mechanism: Read more ›